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Published online by Cambridge University Press:  03 November 2022

Jean-François Mercure
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The World Bank
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Abel, Andrew B., Bernanke, Ben S., and Croushore, Dean. 2014. Macroeconomics (8th ed.). Pearson.Google Scholar
Abrahamse, Wokje, and Steg, Linda. 2013. Social influence approaches to encourage resource conservation: A meta-analysis. Global Environmental Change, 23(6), 17731785.Google Scholar
Acemoglu, Daron. 2002. Directed technical change. The Review of Economic Studies, 69(4), 781809.Google Scholar
Acemoglu, Daron, Aghion, Philippe, Bursztyn, Leonardo, and Hemous, David. 2012. The environment and directed technical change. American Economic Review, 102(1), 131166.CrossRefGoogle ScholarPubMed
Ackerman, Frank, and Heinzerling, Lisa. 2001. Pricing the priceless: Cost-benefit analysis of environmental protection. University of Pennsylvania Law Review, 150, 1553.Google Scholar
Adami, Marcos, Rudorff, Bernardo Friedrich Theodor, Freitas, Ramon Morais, Aguiar, Daniel Alves, Sugawara, Luciana Miura, and Mello, Marcio Pupin. 2012. Remote sensing time series to evaluate direct land use change of recent expanded sugarcane crop in Brazil. Sustainability, 4(4), 574585.CrossRefGoogle Scholar
Adams, Michael, and Thornton, Barry. 2013. Black swans and VaR. Journal of Finance and Accountancy, 14, 1.Google Scholar
Aghion, Philippe, Howitt, Peter, Brant-Collett, Maxine, and García-Peñalosa, Cecilia. 1998. Endogenous Growth Theory. MIT Press.Google Scholar
Akerlof, G. A. 1970. The market for ‘lemons': Quality uncertainty and the market mechanism. The Quarterly Journal of Economics, 84(3), 488500.Google Scholar
Aklin, Michaël, and Mildenberger, Matto. 2020. Prisoners of the wrong dilemma: Why distributive conflict, not collective action, characterizes the politics of climate change. Global Environmental Politics, 20(4), 427.Google Scholar
Aldred, Jonathan. 2009. Ethics and climate change cost-benefit analysis: Stern and after. New Political Economy, 14(4), 469488.CrossRefGoogle Scholar
Alesina, Alberto, and Passarelli, Francesco. 2019. Loss aversion in politics. American Journal of Political Science, 63(4), 936947.CrossRefGoogle Scholar
Amunts, Katrin, Ebell, Christoph, Muller, Jeff, Telefont, Martin, Knoll, Alois, and Lippert, Thomas. 2016. The human brain project: Creating a European research infrastructure to decode the human brain. Neuron, 92(3), 574581.CrossRefGoogle ScholarPubMed
An, Sungbae, and Schorfheide, Frank. 2007. Bayesian analysis of DSGE models. Econometric Reviews, 26(2–4), 113172.CrossRefGoogle Scholar
Anas, A. 1983. Discrete choice theory, information theory and the multinomial logit and gravity models. Transportation Research Part B: Methodological, 17(1), 1323.Google Scholar
Anderson, P. W. 1972. More is different. Science, 177(4047), 393396.CrossRefGoogle ScholarPubMed
Anderson, P. W., Pines, D., and Arrow, K. J. 1989. The Economy as an Evolving Complex System. Santa Fe Institute Studies in the Sciences of Complexity. Westview Press.Google Scholar
Anderson, S. P., de Palma, A., and Thisse, J.-F. 1988. A representative consumer theory of the logit model. International Economic Review, 29(3), 461466.Google Scholar
Anderson, S. P., de Palma, A., and Thisse, J.-F. 1992. Discrete Choice Theory of Product Differentiation. MIT Press.Google Scholar
Anderson, Soren T., and Newell, Richard G. 2004. Information programs for technology adoption: The case of energy-efficiency audits. Resource and Energy Economics, 26(1), 2750.CrossRefGoogle Scholar
Anthoff, D., and Tol, R. 2014. Climate Framework for Uncertainty, Negotiation and Distribution. www.fund-model.org.Google Scholar
Aoki, Masanao, and Yoshikawa, Hiroshi. 2007. Reconstructing Macroeconomics: A Perspective from Statistical Physics and Combinatorial Stochastic Processes. Cambridge University Press.Google Scholar
Arima, Eugenio Y., Richards, Peter, Walker, Robert, and Caldas, Marcellus M. 2011. Statistical confirmation of indirect land use change in the Brazilian Amazon. Environmental Research Letters, 6(2), 024010.Google Scholar
Arrow, Kenneth J. 1962a. The economic implications of learning by doing. The Review of Economic Studies, 29(3), 155173.CrossRefGoogle Scholar
Arrow, Kenneth J. 1962b. Economic welfare and the allocation of resources for invention. Pages 609626 of: The Rate and Direction of Inventive Activity: Economic and Social Factors. Princeton University Press.Google Scholar
Arthur, W. B. 1989. Competing technologies, increasing returns, and lock-in by historical events. The Economic Journal, 99(394), 116131.CrossRefGoogle Scholar
Arthur, W. B. 1999. Complexity and the economy. Science, 284(5411), 107109.Google Scholar
Arthur, W. B. 2014. Complexity and the Economy. Oxford University Press.Google Scholar
Arthur, W. B., Durlauf, S. N., and Lane, D. A. 1997a. The Economy as an Evolving Complex System II. Santa Fe Institute Studies in the Sciences of Complexity. Westview Press.Google Scholar
Arthur, W. B., Ermoliev, Yu M., and Kaniovski, Yu M. 1987. Path-dependent processes and the emergence of macro-structure. European Journal of Operational Research, 30(3), 294303.CrossRefGoogle Scholar
Arthur, W. B., Holland, John H., LeBaron, Blake Dean, Palmer, Richard, and Tayler, Paul. 1997b. Asset pricing under endogenous expectations in an artificial stock market. Pages 1544 of: Arthur, W. B., Durlauf, S. N., and Lane, D. A. (eds.), The Economy as an Evolving Complex System II. Addison-Wesley.Google Scholar
Arthur, W. B., and Lane, D. A. 1993. Information contagion. Structural Change and Economic Dynamics, 4(1), 81104.Google Scholar
Arthur, W. B., and Polak, W. 2006. The evolution of technology within a simple computer model. Complexity, 11(5), 2331.CrossRefGoogle Scholar
Awaya, Yu, and Fukai, Hiroki. 2017. A note on ‘money is memory': A counterexample. Macroeconomic Dynamics, 21(2), 545553.Google Scholar
Axsen, Jonn, Mountain, Dean C., and Jaccard, Mark. 2009. Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles. Resource and Energy Economics, 31(3), 221238.Google Scholar
Baccianti, Claudio, and Löschel, Andreas. 2014. The Role of Product and Process Innovation in CGE Models of Environmental Policy. Tech. rept. WWWforEurope Working Paper.Google Scholar
Baccini, A. G. S. J., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., et al. 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2(3), 182185.Google Scholar
Bajželj, Bojana, Richards, Keith S., Allwood, Julian M., Smith, Pete, Dennis, John S., Curmi, Elizabeth, and Gilligan, Christopher A. 2014. Importance of food-demand management for climate mitigation. Nature Climate Change, 4(10), 924929.Google Scholar
Bak, P., Tang, C., and Wiesenfeld, K. 1987. Self-organized criticality: An explanation of 1/f noise. Physical Review Letters, 59, 381384.Google Scholar
Bak, Per. 1996. How Nature Works. Springer Verlag.Google Scholar
Bak, Per, and Sneppen, Kim. 1993. Punctuated equilibrium and criticality in a simple model of evolution. Physical Review Letters, 71(24), 4083.CrossRefGoogle Scholar
Bak, Per, Tang, Chao, and Wiesenfeld, Kurt. 1988. Self-organized criticality. Physical Review A, 38(1), 364.Google Scholar
Bak, Per, Chen, Kan, Scheinkman, José, and Woodford, Michael. 1993. Aggregate fluctuations from independent sectoral shocks: Self-organized criticality in a model of production and inventory dynamics. Ricerche Economiche, 47(1), 330.Google Scholar
Bak, Per, Christensen, Kim, Danon, Leon, and Scanlon, Tim. 2002. Unified scaling law for earthquakes. Physical Review Letters, 88(17), 178501.CrossRefGoogle ScholarPubMed
Bala, Venkatesh, and Goyal, Sanjeev. 1998. Learning from neighbours. The Review of Economic Studies, 65(3), 595621.Google Scholar
Banerjee, A. V. 1992. A simple model of herd behavior. The Quarterly Journal of Economics, 797817.Google Scholar
Barabási, Albert-László, and Albert, Réka. 1999. Emergence of scaling in random networks. Science, 286(5439), 509512.CrossRefGoogle ScholarPubMed
Barabási, Albert-László, and Bonabeau, Eric. 2003. Scale-free networks. Scientific American, 288(5), 6069.Google Scholar
Baram, Michael S. 1979. Cost-benefit analysis: An inadequate basis for health, safety, and environmental regulatory decision-making. Ecology Law Quarterly, 8, 473.Google Scholar
Barbieri, Alisson F., Domingues, Edson, Queiroz, Bernardo L., Ruiz, Ricardo M., Rigotti, José I., Carvalho, José A. M., and Resende, Marco F. 2010. Climate change and population migration in Brazil's Northeast: Scenarios for 2025–2050. Population and Environment, 31(5), 344370.Google Scholar
Barona, Elizabeth, Ramankutty, Navin, Hyman, Glenn, and Coomes, Oliver T. 2010. The role of pasture and soybean in deforestation of the Brazilian Amazon. Environmental Research Letters, 5(2), 024002.Google Scholar
Barrett, Scott. 1994. Self-enforcing international environmental agreements. Oxford Economic Papers, 46, 878894.Google Scholar
Barros, Vicente R., Garavaglia, Christian R., and Doyle, Moira E. 2013. Twenty-first century projections of extreme precipitations in the Plata Basin. International Journal of River Basin Management, 11(4), 373387.Google Scholar
Bass, F. M. 1969. New product growth for model consumer durables. Management Science Series A-Theory, 15(5), 215227.Google Scholar
Bateman, I. J., Carson, R. T., Day, B., Hanemann, M., Hanley, N., Hett, T., Jones-Lee, M., Loomes, G., Mourato, S., Özdemiroglu, E., Pearce, D. W., Sugden, R., and Swanson, J. 2002. Economic Valuation with Stated Preference Techniques: A Manual. Edward Elgar.Google Scholar
Battiston, Stefano, Puliga, Michelangelo, Kaushik, Rahul, Tasca, Paolo, and Caldarelli, Guido. 2012. Debtrank: Too central to fail? Financial networks, the FED and systemic risk. Scientific Reports, 2, 541.Google Scholar
Battiston, Stefano, Farmer, J. Doyne, Flache, Andreas, Garlaschelli, Diego, Haldane, Andrew G., Heesterbeek, Hans, Hommes, Cars, Jaeger, Carlo, May, Robert, and Scheffer, Marten. 2016a. Complexity theory and financial regulation. Science, 351(6275), 818819.Google Scholar
Battiston, Stefano, Caldarelli, Guido, D'Errico, Marco, and Gurciullo, Stefano. 2016b. Leveraging the network: A stress-test framework based on DebtRank. Statistics & Risk Modeling, 33(3–4), 117138.Google Scholar
Battiston, Stefano, Mandel, Antoine, Monasterolo, Irene, Schütze, Franziska, and Visentin, Gabriele. 2017. A climate stress-test of the financial system. Nature Climate Change, 7(4), 283.Google Scholar
Baumol, William J. 1996. Entrepreneurship: Productive, unproductive, and destructive. Journal of Business Venturing, 11(1), 322.Google Scholar
Bazilian, Morgan, Rogner, Holger, Howells, Mark, Hermann, Sebastian, Arent, Douglas, Gielen, Dolf, Steduto, Pasquale, Mueller, Alexander, Komor, Paul, Tol, Richard S. J., et al. 2011. Considering the energy, water and food nexus: Towards an integrated modelling approach. Energy Policy, 39(12), 78967906.Google Scholar
Bazilian, Morgan, Bradshaw, Michael, Gabriel, Johannes, Goldthau, Andreas, and Westphal, Kirsten. 2020. Four scenarios of the energy transition: Drivers, consequences, and implications for geopolitics. Wiley Interdisciplinary Reviews: Climate Change, 11(2), e625.Google Scholar
Beddington, John. 2012. Food, Energy, Water and the Climate: A Perfect Storm of Global Events? Tech. rept. Chief Scientific Adviser to HM Government, webarchive.nationalarchives.gov.uk/20121206120858/www.bis.gov.uk/assets/goscience/docs/p/perfect-storm-paper.pdf.Google Scholar
Bell, Stephanie. 2001. The role of the state and the hierarchy of money. Cambridge Journal of Economics, 25(2), 149163.Google Scholar
Bellais, Renaud. 2004. Post Keynesian theory, technology policy, and long-term growth. Journal of Post Keynesian Economics, 26(3), 419440.Google Scholar
Ben-Akiva, Moshe E., and Lerman, Steven R. 1985. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press.Google Scholar
Benhabib, J., Bisin, A., and Jackson, M. O. 2010. Handbook of Social Economics. Vol. 1. Elsevier.Google Scholar
Benjamin, Antonio Herman, Marques, Claudia Lima, and Tinker, Catherine. 2004. The water giant awakes: An overview of water law in Brazil. Texas Law Review, 83, 2185.Google Scholar
Berchin, Issa Ibrahim, Garcia, Jéssica, Heerdt, Mauri Luiz, Moreira, Angélica de Quevedo, da Silveira, Ana Clara Medeiros, and de Andrade Guerra, José Baltazar Salgueirinho Osório. 2015. Energy production and sustainability: A study of Belo Monte hydroelectric power plant. Pages 224237 of: Natural Resources Forum. Vol. 39. Wiley Online Library.Google Scholar
Berentsen, Aleksander, Camera, Gabriele, and Waller, Christopher. 2005. The distribution of money balances and the nonneutrality of money. International Economic Review, 46(2), 465487.CrossRefGoogle Scholar
Bergek, Anna, Jacobsson, Staffan, Carlsson, Bo, Lindmark, Sven, and Rickne, Annika. 2008. Analyzing the functional dynamics of technological innovation systems: A scheme of analysis. Research Policy, 37(3), 407429.Google Scholar
Bertram, Christoph, Luderer, Gunnar, Pietzcker, Robert C., Schmid, Eva, Kriegler, Elmar, and Edenhofer, Ottmar. 2015. Complementing carbon prices with technology policies to keep climate targets within reach. Nature Climate Change, 5(3), 235239.Google Scholar
Besley, T., and Hennessy, P. 2009. Letter from the British Academy to Her Majesty the Queen, ‘The Global Financial Crisis? Why Didn?t Anybody Notice?'.Google Scholar
Bezemer, Dirk J. 2009. 'No one saw this coming': Understanding financial crisis through accounting models. MPRA Paper 15892.Google Scholar
Bhargava, S. C. 1989. Generalized Lotka-Volterra equations and the mechanism of technological substitution. Technological Forecasting and Social Change, 35(4), 319326.Google Scholar
Bigoni, Maria, Camera, Gabriele, and Casari, Marco. 2020. Money is more than memory. Journal of Monetary Economics, 110, 99115.Google Scholar
Bikhchandani, S., Hirshleifer, D., and Welch, I. 1992. A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5) 9921026.Google Scholar
Bikhchandani, S., Hirshleifer, D., and Welch, I. 1998. Learning from the behavior of others: Conformity, fads, and informational cascades. Journal of Economic Perspectives, 12(3), 151170.Google Scholar
Black, Fischer, and Scholes, Myron. 1973. The pricing of options and corporate liabilities. Journal of Political Economy, 81(3), 637654.CrossRefGoogle Scholar
Blanchard, Olivier J. 2009. The crisis: Basic mechanisms and appropriate policies. IMF Working Papers.Google Scholar
BoE. 2015. The Impact of Climate Change on the UK Insurance Sector. Tech. rept. Bank of England, www.bankofengland.co.uk/prudential-regulation/publication/2015/the-impact-of-climate-change-on-the-uk-insurance-sector.Google Scholar
BoE. 2018. Transition In Thinking: The Impact of Climate Change on the UK Banking Sector. Tech. rept. Bank of England, www.bankofengland.co.uk/prudential- regulation/publication/2018/transition-in-thinking-the-impact- of-climate-change-on-the-uk-banking-sector.Google Scholar
Bolton, Patrick, Despres, Morgan, Pereira Da Silva, Luiz Awazu, Samama, Frédéric, and Svartman, Romain. 2020. The Green Swan: Central Banking and Financial Stability in the Age of Climate Change. Tech. rept. Banque de France.Google Scholar
Bouwman, A. F., Kram, T., and Klein, K. 2006. Integrated Modelling of Global Environmental Change: An Overview of IMAGE 2.4. Tech. rept. Netherlands Environmental Assessment Agency, www.rivm.nl/bibliotheek/rapporten/500110002.pdf.Google Scholar
Bovari, Emmanuel, Giraud, Gaël, and McIsaac, Florent. 2018. Coping with collapse: A stockflow consistent monetary macrodynamics of global warming. Ecological Economics, 147, 383398.Google Scholar
Bowyer, Catherine, and Kretschmer, Bettina. 2010. Anticipated indirect land use change associated with expanded use of biofuels and bioliquids in the EU: An analysis of the national renewable energy action plans. Institute for European Environmental Policy, http://tov.skavt.net/baza_znanja/biogoriva/ILUC_porocilo_IEEP_november2010.pdf.Google Scholar
Brando, Paulo Monteiro, Balch, Jennifer K., Nepstad, Daniel C., Morton, Douglas C., Putz, Francis E., Coe, Michael T., Silvério, Divino, Macedo, Marcia N., Davidson, Eric A., Nóbrega, Caroline C., et al. 2014. Abrupt increases in Amazonian tree mortality due to drought–fire interactions. Proceedings of the National Academy of Sciences, 111(17), 63476352.Google Scholar
Brantle, T. F., and Fallah, M. H. 2007. Complex innovation networks, patent citations and power laws. PICMET 2007 Proceedings, 540549.Google Scholar
Brock, W. A., and Durlauf, S. N. 2001. Discrete choice with social interactions. The Review of Economic Studies, 68(2), 235260.Google Scholar
Broughel, James, and Kotrous, Michael. 2021. The benefits of coronavirus suppression: A cost-benefit analysis of the response to the first wave of COVID-19 in the United States. PLoS One, 16(6), e0252729.CrossRefGoogle Scholar
Brown-Lima, Carrie, Cooney, Melissa, and Cleary, David. 2010a. An overview of the Brazil-China soybean trade and its strategic implications for conservation. The Nature Con- servancy Latin America Region.(Citing figures from the Secretariat of Foreign Trade (SECEX)) The Nature Conservancy, Brazil, 40.Google Scholar
Brown-Lima, Carrie, Cooney, Melissa, and Cleary, David. 2010b. An overview of the Brazil-China soybean trade and its strategic implications for conservation. Brazil: The Nature Conservancy Latin America Region.(Citing figures from the Secretariat of Foreign Trade (SECEX)) The Nature Conservancy, 40.Google Scholar
Bull, Ivan, and Willard, Gary E. 1993. Towards a theory of entrepreneurship. Journal of Business Venturing, 8(3), 183195.Google Scholar
Burke, Mary A., and Young, H. Peyton. 2011. Social norms. Pages 311338 of: Benhabib, Jess, Bisin, Alberto, and Jackson, Matthew O. (eds.), Handbook of Social Economics. Vol. 1. Elsevier.Google Scholar
Burrows, Michael T., Schoeman, David S., Buckley, Lauren B., Moore, Pippa, Poloczanska, Elvira S., Brander, Keith M., Brown, Chris, Bruno, John F., Duarte, Carlos M., Halpern, Benjamin S., et al. 2011. The pace of shifting climate in marine and terrestrial ecosystems. Science, 334(6056), 652655.Google Scholar
Caldecott, Ben. 2018. Stranded Assets and the Environment: Risk, Resilience and Opportunity. Routledge.Google Scholar
Cambridge Econometrics. 2013. Employment Effects of Selected Scenarios from the Energy Roadmap 2050. Tech. rept. European Commission (DG ENER), http://ec.europa.eu/energy/sites/ener/files/documents/2013_report_ employment_effects_roadmap_2050_2.pdf.Google Scholar
Cambridge Econometrics. 2014. E3ME: Energy-Economy-Environment Macroeconometric Model. www.e3me.com.Google Scholar
Cambridge Econometrics. 2015. Assessing the Employment and Social Impact of Energy Efficiency. Tech. rept. European Commission (DG ENER), http://ec.europa.eu/energy/sites/ener/files/documents/CE_EE_Jobs_main18Nov2015.pdf.Google Scholar
Campiglio, Emanuele, Dafermos, Yannis, Monnin, Pierre, Ryan-Collins, Josh, Schotten, Guido, and Tanaka, Misa. 2018. Climate change challenges for central banks and financial regulators. Nature Climate Change, 8, 462.Google Scholar
Capros, Pantelis, Karadeloglou, Pavlos, and Mentzas, Gregory. 1990. An empirical assessment of macroeconometric and CGE approaches in policy modeling. Journal of Policy Modeling, 12(3), 557585.Google Scholar
Capros, Pantelis, Paroussos, Leonidas, Fragkos, Panagiotis, Tsani, Stella, Boitier, Baptiste, Wagner, Fabian, Busch, Sebastian, Resch, Gustav, Blesl, Markus, and Bollen, Johannes. 2014. Description of models and scenarios used to assess European decarbonisation pathways. Energy Strategy Reviews, 2, 220230.Google Scholar
Carbon Trust. 2005. The UK Climate Change Programme: Potential Evolution for Business and the Public Sector. Tech. rept. Carbon Trust.Google Scholar
Carlson, J. M., and Doyle, John. 2002. Complexity and robustness. Proceedings of the National Academy of Sciences of the United States of America, 99(suppl. 1), 25382545.Google Scholar
Carney, Mark. 2015. Breaking the Tragedy of the Horizon: Climate Change and Financial Stability. Tech. rept. www.bankofengland.co.uk/publications/Pages/speeches/2015/844.aspx.Google Scholar
Carreras, Marco. 2020. Investigating the Role of BNDES as a Tool to Transmit Countercyclical Policy Decisions: Evidence from 2002–2016. SSRN.Google Scholar
Castelvecchi, Davide. 2020. First room-temperature superconductor excites-and baffles- scientists. Nature, 586(7829), 349.CrossRefGoogle ScholarPubMed
Cavalcanti, Ricardo de O., and Wallace, Neil. 1999a. Inside and outside money as alternative media of exchange. Journal of Money, Credit and Banking, 31(3), 443457.Google Scholar
Cavalcanti, Ricardo de O., and Wallace, Neil. 1999b. A model of private bank-note issue. Review of Economic Dynamics, 2(1), 104136.Google Scholar
Chapin, F. Stuart III, Zavaleta, Erika S., Eviner, Valerie T., Naylor, Rosamond L., Vitousek, Peter M., Reynolds, Heather L., Hooper, David U., Lavorel, Sandra, Sala, Osvaldo E., Hobbie, Sarah E., et al. 2000. Consequences of changing biodiversity. Nature, 405(6783), 234.Google Scholar
Cheng, Cindy, Barceló, Joan, Hartnett, Allison Spencer, Kubinec, Robert, and Messerschmidt, Luca. 2020. COVID-19 government response event dataset (CoronaNet v. 1.0). Nature Human Behaviour, 4(7), 756768.Google Scholar
Christensen, Jens Hesselbjerg, Kanikicharla, Krishna Kumar, Aldrian, Edvin, An, Soon Il, Cavalcanti, Iracema Fonseca Albuquerque, de Castro, Manuel, Dong, Wenjie, Goswami, Prashant, Hall, Alex, Kanyanga, Joseph Katongo, et al. 2013. Climate phenomena and their relevance for future regional climate change. Pages 12171308 of: Climate Change 2013 the Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.Google Scholar
Christiano, Lawrence J., Eichenbaum, Martin S., and Trabandt, Mathias. 2018. On DSGE models. Journal of Economic Perspectives, 32, 113140.Google Scholar
Clarke, Leon, Weyant, John, and Edmonds, Jae. 2008. On the sources of technological change: What do the models assume? Energy Economics, 30, 409424.Google Scholar
Clarke, Leon, Jiang, Kejun, Akimoto, Keigo, Babiker, Mustafa, Blanford, Geoffrey, Fisher-Vanden, Karen, Hourcade, J.-C., Krey, Volker, Kriegler, Elmar, and Löschel, Andreas L. B. 2014. Chapter 6: Assessing transformation pathways, in Climate Change 2017, Working Group III, Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Tech. rept. IPCC.Google Scholar
Coase, Ronald Harry. 1960. The problem of social cost. The Journal of Law and Economics, 56(4), 837877.Google Scholar
Coibion, Olivier, Gorodnichenko, Yuriy, and Weber, Michael. 2020. The cost of the covid- 19 crisis: Lockdowns, macroeconomic expectations, and consumer spending. National Bureau of Economic Research.Google Scholar
Commission, European. 2019. The European Green Deal. Tech. rept.Google Scholar
European Commission. Confalonieri, Ulisses E. C., Lima, Anna Carolina L., Brito, Isabela, and Quintão, Ana Flávia. 2017. Social, environmental and health vulnerability to climate change in the Brazilian Northeastern Region. Climatic Change, 127(1), 123137.Google Scholar
Cont, Rama. 2005. Long range dependence in financial markets. Pages 159179 of: Lévy-Véhel, Jacques, and Lutton, Evelyne (eds.), Fractals in Engineering. Springer London.Google Scholar
Cont, Rama, and Schaanning, Eric. 2017. Fire sales, indirect contagion and systemic stress testing. Indirect Contagion and Systemic Stress Testing (June 13, 2017).Google Scholar
Cont, Rama, Moussa, Amal, and Santos, Edson B. 2010. Network structure and systemic risk in banking systems. SSRN.Google Scholar
Cook, Brian, Zeng, Ning, and Yoon, Jin-Ho. 2012. Will Amazonia dry out? Magnitude and causes of change from IPCC climate model projections. Earth Interactions, 16(3), 127.Google Scholar
Coronese, Matteo, Lamperti, Francesco, Keller, Klaus, Chiaromonte, Francesca, and Roventini, Andrea. 2019. Evidence for sharp increase in the economic damages of extreme natural disasters. Proceedings of the National Academy of Sciences, 116(43), 2145021455.Google Scholar
Costa, Francisco. 2013. Can rationing affect long run behavior? Evidence from Brazil. SSRN DOI:10.2139/ssrn.2028684.Google Scholar
Crabbé, Ann, and Leroy, Pieter. 2008. The Handbook of Environmental Policy Evaluation. Earthscan.Google Scholar
da Silva, Rodrigo Corrêa, de Marchi Neto, Ismael, and Seifert, Stephan Silva. 2016. Electricity supply security and the future role of renewable energy sources in Brazil. Renewable and Sustainable Energy Reviews, 59, 328341.Google Scholar
da Silva Soito, João Leonardo, and Freitas, Marcos Aurélio Vasconcelos. 2011. Amazon and the expansion of hydropower in Brazil: Vulnerability, impacts and possibilities for adaptation to global climate change. Renewable and Sustainable Energy Reviews, 15(6), 31653177.Google Scholar
Dafermos, Yannis, Nikolaidi, Maria, and Galanis, Giorgos. 2017. A stock-flow-fund ecological macroeconomic model. Ecological Economics, 131, 191207.Google Scholar
Dai, Ziwei, and Locasale, Jason W. 2020. Cooperative virus propagation in COVID-19 transmission. medRxiv DOI:10.1101/2020.05.05.20092361.Google Scholar
David, Paul A. 1985. Clio and the Economics of QWERTY. The American Economic Review, 75(2), 332337.Google Scholar
Davidson, Eric A., de Araújo, Alessandro C., Artaxo, Paulo, Balch, Jennifer K., Brown, I. Foster, Bustamante, Mercedes M. C., Coe, Michael T., DeFries, Ruth S., Keller, Michael, Longo, Marcos, et al. 2012. The Amazon basin in transition. Nature, 481(7381), 321328.Google Scholar
Day, Richard H. 1992. Complex economic dynamics: Obvious in history, generic in theory, elusive in data. Journal of Applied Econometrics, 7(S1), S9S23.Google Scholar
De Lucena, André Frossard Pereira, Szklo, Alexandre Salem, Schaeffer, Roberto, de Souza, Raquel Rodrigues, Borba, Bruno Soares Moreira Cesar, da Costa, Isabella Vaz Leal, Júnior, Amaro Olimpio Pereira, and da Cunha, Sergio Henrique Ferreira. 2009. The vulnerability of renewable energy to climate change in Brazil. Energy Policy, 37(3), 879889.Google Scholar
de Palma, A., and Kilani, K. 2009. Transition choice probabilities and welfare analysis in additive random utility models. Economic Theory, 46(3), 427454.Google Scholar
de Souza Ferreira Filho, Joaquim Bento, and De Moraes, Gustavo Inacio. 2015. Climate change, agriculture and economic effects on different regions of Brazil. Environment and Development Economics, 20(1), 3756.Google Scholar
Dietz, Simon, and Hepburn, Cameron. 2013. Benefit–cost analysis of non-marginal climate and energy projects. Energy Economics, 40, 6171.Google Scholar
Dixon, Peter B, and Jorgenson, Dale. 2013. Handbook of Computable General Equilibrium Modeling SET, Vols. 1A and 1B. Newnes.Google Scholar
Domencich, T. A., and McFadden, D. 1975. Urban Travel Demand: A Behavioural Analysis. North-Holland Publishing.Google Scholar
Dosi, G., Freeman, C., Nelson, R., Silverberg, G., and Soete, L. 1988. Technical Change and Economic Theory. Pinter Publishers.Google Scholar
Dosi, Giovanni. 1982. Technological paradigms and technological trajectories. Research Policy, 2(3), I4762.Google Scholar
Dosi, Giovanni, Fagiolo, Giorgio, and Roventini, Andrea. 2010. Schumpeter meeting Keynes: A policy-friendly model of endogenous growth and business cycles. Journal of Economic Dynamics and Control, 34(9), 17481767.Google Scholar
Dosi, Giovanni, Fagiolo, Giorgio, Napoletano, Mauro, and Roventini, Andrea. 2013. Income distribution, credit and fiscal policies in an agent-based Keynesian model. Journal of Economic Dynamics and Control, 37(8), 15981625.Google Scholar
Dosi, Giovanni, Fagiolo, Giorgio, Napoletano, Mauro, Roventini, Andrea, and Treibich, Tania. 2015. Fiscal and monetary policies in complex evolving economies. Journal of Economic Dynamics and Control, 52, 166189.Google Scholar
Douglas, M., and Isherwood, B. 1979. The World of Goods: Towards an Anthropology of Consumption. Routledge.Google Scholar
Doyle, John, and Carlson, Jean M. 2000. Power laws, highly optimized tolerance, and generalized source coding. Physical Review Letters, 84(24), 5656.Google Scholar
Durlauf, S. N., and Ioannides, Y. M. 2010. Social interactions. Annual Review of Economics, 2(1), 451478.Google Scholar
EC. 2009. Impact Assessment Guidelines. Tech. rept. European Commission, http://ec.europa.eu/smart-regulation/impact/commission_guidelines/docs/iag_2009_en.pdf.Google Scholar
EC. 2015. Better Regulation Guidelines. Tech. rept. European Commission, http://ec.europa.eu/smart-regulation/guidelines/docs/swd_br_guidelines_ en.pdf.Google Scholar
EC. 2017. The Economic Rationale for Public R&I Funding and Its Impact. Tech. rept. https://ri-links2ua.eu/object/document/326/attach/KI0117050ENN_002.pdf.Google Scholar
Edenhofer, O., Lessmann, K., Kemfert, C., Grubb, M., and Köhler, J. 2006. Induced technological change: Exploring its implications for the economics of atmospheric stabilization: Synthesis report from the Innovation Modeling Comparison Project. Energy Journal, 57107.Google Scholar
Edenhofer, O., Knopf, B., Barker, T., Baumstark, L., Bellevrat, E., Chateau, B., Criqui, P., Isaac, M., Kitous, A., Kypreos, C., et al. 2010. The Economics of Low Stabilization: Model Comparison of Mitigation Strategies and Costs. Energy Journal, 31(1), 1148.Google Scholar
Ekins, P., Pollitt, H., Barton, J., and Blobel, D. 2011. The implications for households of environmental tax reform (ETR) in Europe. Ecological Economics, 70(12), 24722485.Google Scholar
EPA. 2014. Guidelines for Preparing Economic Analyses. Tech. rept. National Center for Environmental Economics Office of Policy U.S. Environmental Protection Agency.Google Scholar
Escobar, Herton. 2015. Drought triggers alarms in Brazil's biggest metropolis. Science, 347(6224), 812812.Google Scholar
Fachinelli, Natália Pezzi, and Pereira, Amaro Olimpio Jr. 2015. Impacts of sugarcane ethanol production in the Paranaiba basin water resources. Biomass and Bioenergy, 83, 816.Google Scholar
Falkner, Robert. 2016. The Paris Agreement and the new logic of international climate politics. International Affairs, 92(5), 11071125.Google Scholar
Fan, V.Y., Jamison, D.T. and Summers, L.H., 2016. The inclusive cost of pandemic influenza risk, Working Paper No. w22137, National Bureau of Economic Research.Google Scholar
Fargione, Joseph, Hill, Jason, Tilman, David, Polasky, Stephen, and Hawthorne, Peter. 2008. Land clearing and the biofuel carbon debt. Science, 319(5867), 12351238.Google Scholar
Farmer, J. Doyne, and Foley, Duncan. 2009. The economy needs agent-based modelling. Nature, 460(7256), 685686.Google Scholar
Farmer, J. Doyne, and Lafond, François. 2016. How predictable is technological progress? Research Policy, 45(3), 647665.Google Scholar
Farmer, J. Doyne, Hepburn, Cameron, Mealy, Penny, and Teytelboym, Alexander. 2015. A third wave in the economics of climate change. Environmental and Resource Economics, 62(2), 329357.Google Scholar
Farrell, C. J. 1993. A theory of technological progress. Technological Forecasting and Social Change, 44(2), 161178.Google Scholar
Fearnside, Philip M. 2005. Deforestation in Brazilian Amazonia: History, rates, and consequences. Conservation Biology, 19(3), 680688.Google Scholar
Fisch-Romito, Vivien, Guivarch, Céline, Creutzig, Felix, Minx, Jan C., and Callaghan, Max W. 2021. Systematic map of the literature on carbon lock-in induced by long-lived capital. Environmental Research Letters, 16(5), 053004.Google Scholar
Fisher, Irving. 1932. Booms and Depressions. Adelphi.Google Scholar
Fisher, J. C., and Pry, R. H. 1971. A simple substitution model of technological change. Technological Forecasting and Social Change, 3(1), 7588.Google Scholar
Foley, A. M., Holden, P. B., Edwards, N. R., Mercure, J.-F., Salas, P., Pollitt, H., and U., Chewpreecha, 2016. Climate model emulation in an integrated assessment framework: A case study for mitigation policies in the electricity sector. Earth System Dynamics, 7, 119132.Google Scholar
Fontana, Giuseppe. 2008. Money, Uncertainty and Time. Routledge.Google Scholar
Fouquet, Roger. 2016. Historical energy transitions: Speed, prices and system transformation. Energy Research & Social Science, 22, 712.Google Scholar
Fragkos, Panagiotis, and Paroussos, Leonidas. 2018. Employment creation in EU related to renewables expansion. Applied Energy, 230, 935945.Google Scholar
Freeman, C. 1994. The economics of technical change. Cambridge Journal of Economics, 18(5), 463514.Google Scholar
Freeman, C., and Perez, C. 1988. Structural crises of adjustment: Business cycles and investment behaviour. Pages 3866 of: Dosi, G., Freeman, C., Nelson, R., Silverberg, G., and Soete, L. (eds.), Technical Change and Economic Theory. Pinter Publishers.Google Scholar
Freeman, C., and Louçã, F. 2001. As Time Goes By. Oxford University Press.Google Scholar
Pierre, Friedlingstein,, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Hauck, Judith, Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Sitch, Stephen, et al. 2020. Global carbon budget 2020. Earth System Science Data, 12(4), 32693340.Google Scholar
Friedman, Milton. 1953. The methodology of positive economics. Essays in Positive Economics, 3(3), 145178.Google Scholar
Friedman, Milton, and Schwartz, Anna J. 1965. Money and business cycles. Pages 3278 of: NBER (ed.), The State of Monetary Economics, Publisher: NBER, pp 3278.Google Scholar
Gaechter, Simon, Johnson, Ej, and Herrmann, Andreas. 2007. Individual-level loss aversion in riskless and risky choices. IZA Discussion Paper, 2961.Google Scholar
Galbraith, John Kenneth. 2017. Money: Whence It Came, Where It Went. Princeton University Press.Google Scholar
Galí, Jordi. 2015. Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework and Its Applications. Princeton University Press.Google Scholar
Gallagher, Kelly Sims, Grübler, Arnulf, Kuhl, Laura, Nemet, Gregory, and Wilson, Charlie. 2012. The energy technology innovation system. Annual Review of Environment and Resources, 37, 137162.Google Scholar
Gallos, Lazaros K., Cohen, Reuven, Argyrakis, Panos, Bunde, Armin, and Havlin, Shlomo. 2005. Stability and topology of scale-free networks under attack and defense strategies. Physical Review Letters, 94(18), 188701.Google Scholar
Garcez, Catherine Aliana Gucciardi, and de Souza Vianna, João Nildo. 2009. Brazilian biodiesel policy: Social and environmental considerations of sustainability. Energy, 34(5), 645654.Google Scholar
Garcia, Beatriz. 2011. The Amazon from an International Law Perspective. Cambridge University Press.Google Scholar
Garcia, Daniel J., and You, Fengqi. 2016. The water-energy-food nexus and process systems engineering: A new focus. Computers & Chemical Engineering, 91, 4967.Google Scholar
Garlaschelli, Diego, Battiston, Stefano, Castri, Maurizio, Servedio, Vito D. P., and Caldarelli, Guido. 2005. The scale-free topology of market investments. Physica A: Statistical Mechanics and Its Applications, 350(2–4), 491499.Google Scholar
Garrett-Peltier, Heidi. 2017. Green versus brown: Comparing the employment impacts of energy efficiency, renewable energy, and fossil fuels using an input-output model. Economic Modelling, 61, 439447.Google Scholar
GCEE. 2016. Chapter 11: ‘Energiewende: Umsteuern zu einer globalen Klimapolitik' (‘The Energy Transition: Shifting towards a Global Climate Policy'). Tech. rept. German Council of Economic Experts.Google Scholar
GEA (ed.). 2012. Global Energy Assessment. Cambridge University Press, Cambridge, UK and New York, NY, USA and the International Institute for Applied Systems Analysis, Laxenburg, Austria.Google Scholar
Geels, F. W. 2002. Technological transitions as evolutionary reconfiguration processes: A multi-level perspective and a case-study. Research Policy, 31(8–9), 12571274.Google Scholar
Geels, F. W. 2005. The dynamics of transitions in socio-technical systems: A multi-level analysis of the transition pathway from horse-drawn carriages to automobiles (1860–1930). Technology Analysis & Strategic Management, 17(4), 445476.Google Scholar
Geels, F. W. 2006. Co-evolutionary and multi-level dynamics in transitions: The transformation of aviation systems and the shift from propeller to turbojet (1930–1970). Technovation, 26(9), 9991016.Google Scholar
Geels, F. W. 2011. The multi-level perspective on sustainability transitions: Responses to seven criticisms. Environmental Innovation and Societal Transitions, 1(1), 2440.Google Scholar
Geels, F. W., Berkhout, F., and van Vuuren, D. P. 2016. Bridging analytical approaches for low-carbon transitions. Nature Climate Change, 576583 (2016).Google Scholar
Genus, Audley, and Coles, Anne-Marie. 2008. Rethinking the multi-level perspective of technological transitions. Research Policy, 37(9), 14361445.Google Scholar
Gibbs, Holly K., Rausch, Lisa, Munger, Jacob, Schelly, Ian, Morton, Douglas C., Noojipady, Praveen, Soares-Filho, Bitraldo, Barreto, Paulo, Micol, Laurent, and Walker, Nathalie F. 2015. Brazil's soy moratorium. Science, 347(6220), 377378.Google Scholar
Gillingham, Kenneth, and Palmer, Karen. 2014. Bridging the energy efficiency gap: Policy insights from economic theory and empirical evidence. Review of Environmental Economics and Policy, 8(1), 1838.Google Scholar
Gillingham, Kenneth, Newell, Richard G., and Pizer, William A. 2008. Modeling endogenous technological change for climate policy analysis. Energy Economics, 30(6), 27342753.Google Scholar
Giraudet, L.-G., Guivarch, C., and Quirion, P. 2012. Exploring the potential for energy conservation in French households through hybrid modeling. Energy Economics, 34(2), 426445.Google Scholar
Godley, Wynne, and Lavoie, Marc. 2006. Monetary Economics: An Integrated Approach to Credit, Money, Income, Production and Wealth. Springer.Google Scholar
Goldthau, Andreas, Westphal, Kirsten, Bazilian, Morgan, and Bradshaw, Michael. 2019. How the energy transition will reshape geopolitics. Nature, 569(7754), 2931.Google Scholar
Goodwin, Richard. 1982. A growth cycle. Pages 165170 of: Essays in Economic Dynamics. Springer.Google Scholar
Gopikrishnan, Parameswaran, Plerou, Vasiliki, Amaral, Luis A. Nunes, Meyer, Martin, and Stanley, H. Eugene. 1999. Scaling of the distribution of fluctuations of financial market indices. Physical Review E, 60(5), 5305.Google Scholar
Gould, Stephen Jay, and Eldredge, Niles. 1977. Punctuated equilibria: The tempo and mode of evolution reconsidered. Paleobiology, 3(2), 115151.Google Scholar
Goulder, Lawrence H., and Schneider, Stephen H. 1999. Induced technological change and the attractiveness of CO2 abatement policies. Resource and Energy Economics, 21, 211253.Google Scholar
Goulder, Lawrence H., Hafstead, Marc A. C., and Williams, Roberton C. III 2016. General equilibrium impacts of a federal clean energy standard. American Economic Journal: Economic Policy, 8, 186218.Google Scholar
Government, HM. 2017. Grand Challenges: Building a Britain Fit for the Future. Tech. rept. HM Government.Google Scholar
Graeber, David. 2014. Debt-Updated and Expanded: The First 5,000 Years. Melville House.Google Scholar
Grübler, Arnulf. 1998. Technology and Global Change. Cambridge University Press.Google Scholar
Green, Fergus, and Gambhir, Ajay. 2020. Transitional assistance policies for just, equitable and smooth low-carbon transitions: Who, what and how? Climate Policy, 20(8), 902921.Google Scholar
Gritsevskyi, Andrii, and Nakićenovic, Nebojša. 2000. Modeling uncertainty of induced technological change. Energy Policy, 28, 907921.Google Scholar
Grubb, M., Carraro, C., and Schellnhuber, J. 2006. Technological change for atmospheric stabilization: Introductory overview to the Innovation Modeling Comparison Project. Energy Journal, 1, 116.Google Scholar
Grubb, M., Hourcade, J.-C., and Neuhoff, K. 2014. Planetary Economics. Taylor & Francis / Routledge.Google Scholar
Grubb, M., Drummond, P., Mercure, J.-F., and Hepburn, C. 2021a. The New Economics of Innovation and Transition: Evaluating Opportunities and Risks. Tech. rept. Economics of Innovation and System Transition (EEIST), www.eeist.co.uk.Google Scholar
Grubb, Michael, Edmonds, Jae, Ten Brink, Patrick, and Morrison, Michael. 1993. The costs of limiting fossil-fuel CO2 emissions: A survey and analysis. Annual Review of Energy and the Environment, 18, 397478.Google Scholar
Grubb, Michael, Köhler, Jonathan, and Anderson, Dennis. 2002. Induced technical change in energy and environmental modeling: Analytic approaches and policy implications. Annual Review of Energy and the Environment, 27, 271308.Google Scholar
Grubb, Michael, Bashmakov, Igor, Drummond, Paul, Myshak, Anna, Hughes, Nick, Biancardi, Andrea, Agnolucci, Paolo, and Lowe, Robert. 2018. An Exploration of Energy Cost, Ranges, Limits and Adjustment Process. Tech. rept. https://discovery.ucl.ac.uk/id/eprint/10047775/1/An%20exploration%20of%20energy%20cost,%20ranges,%20limits%20and%20adjustment%20process.pdf.Google Scholar
Grubb, Michael, Drummond, Paul, Poncia, Alexandra, McDowall, Will, Popp, David, Samadi, Sascha, Penasco, Cristina, Gillingham, Kenneth T., Smulders, Sjak, Glachant, Matthieu, et al. 2021b. Induced innovation in energy technologies and systems: A review of evidence and potential implications for CO2 mitigation. Environmental Research Letters, 16(4), 043007.Google Scholar
Grübler, A., Nakicenovic, N., and Victor, D. G. 1999. Dynamics of energy technologies and global change. Energy Policy, 27(5), 247280.Google Scholar
Grübler, Arnulf. 2003. Technology and Global Change. Cambridge University Press.Google Scholar
Grübler, Arnulf. 2012. Energy transitions research: Insights and cautionary tales. Energy Policy, 50, 816.Google Scholar
Grübler, Arnulf, and Wilson, Charlie. 2013. Energy Technology Innovation. Cambridge University Press.Google Scholar
Guttmann, Robert. 2015. The heterodox notion of structural crisis. Review of Keynesian Economics, 3(2), 194212.Google Scholar
Guttmann, Robert. 2016. Finance-Led Capitalism: Shadow Banking, Re-regulation, and the Future of Global Markets. Springer.Google Scholar
Hafner, Manfred, and Tagliapietra, Simone. 2020. The Geopolitics of the Global Energy Transition. Springer Nature.Google Scholar
Haldane, Andrew G., and May, Robert M. 2011. Systemic risk in banking ecosystems. Nature, 469(7330), 351355.Google Scholar
Haldane, Andrew G., and Turrell, Arthur E. 2018. An interdisciplinary model for macroeconomics. Oxford Review of Economic Policy, 34(1–2), 219251.Google Scholar
Hall, Lisa M. H., and Buckley, Alastair R. 2016. A review of energy systems models in the UK: Prevalent usage and categorisation. Applied Energy, 169, 607628.Google Scholar
Hanley, Nick, and Barbier, Edward B. 2009. Pricing Nature: Cost-Benefit Analysis and Environmental Policy. Edward Elgar Publishing.Google Scholar
Hanley, Nick, Shogren, Jason F., and White, Ben. 2016. Environmental Economics: In Theory and Practice. Macmillan International Higher Education.Google Scholar
Hanley, Nick, Shogren, Jason F., and White, Ben. 2019. Introduction to Environmental Economics. Oxford University Press.Google Scholar
Harvey, Mark, and Pilgrim, Sarah. 2011. The new competition for land: Food, energy, and climate change. Food Policy, 36, S40S51.Google Scholar
He, Ping, Huang, Lixin, and Wright, Randall. 2005. Money and banking in search equilibrium. International Economic Review, 46(2), 637670.Google Scholar
Head, Brian W., and Alford, John. 2015. Wicked problems: Implications for public policy and management. Administration & Society, 47(6), 711739.Google Scholar
Heilbroner, Robert L. 1973. Economics as a ‘value-free' science. Social Research, 40(1), 129143.Google Scholar
Heinsohn, Gunnar, and Steiger, Otto. 2005. Alternative theories of the rate of interest: A reconsideration. Pages 6781 of: The Monetary Theory of Production. Springer.Google Scholar
Heisenberg, Werner. 1958. Physics and Philosophy: The Revolution in Modern Science. Harper & Row Publishers.Google Scholar
Hekkert, M. P., Suurs, R. A. A., Negro, S. O., Kuhlmann, S., and Smits, R. E. H. M. 2007. Functions of innovation systems: A new approach for analysing technological change. Technological Forecasting and Social Change, 74(4), 413432.CrossRefGoogle Scholar
Helleiner, Eric. 2011. Understanding the 2007–2008 global financial crisis: Lessons for scholars of international political economy. Annual Review of Political Science, 14, 6787.Google Scholar
Herndon, Thomas, Ash, Michael, and Pollin, Robert. 2014. Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff. Cambridge Journal of Economics, 38(2), 257279.Google Scholar
Hertel, Thomas W. 2015. The challenges of sustainably feeding a growing planet. Food Security, 7(2), 185198.Google Scholar
Hicks, John. 1932. The Theory of Wages. Springer.Google Scholar
HM Treasury. 2020a. The Green Book: Central Government Guidance on Appraisal and Evaluation. Tech. rept. UK HM Treasury, www.gov.uk/government/publications/the-green-book-appraisal-and-evaluation-in-central-governent.Google Scholar
HM Treasury. 2020b. The Orange Book: Management of Risk–Principles and Concepts. Tech. rept. UK HM Treasury, www.gov.uk/government/publications/orange-book.Google Scholar
HM Treasury. 2021. Net Zero Review. Tech. rept. UK HM Treasury.Google Scholar
Hofbauer, Josef, and Sigmund, Karl. 1998. Evolutionary Games and Population Dynamics. Cambridge University Press.Google Scholar
Hoff, H. 2011. Understanding the Nexus. Background Paper for the Bonn 2011 Conference: The Water Energy and Food Security Nexus. Tech. rept. Stockholm Environment Institute, www.sei.org/publications/understanding-the-nexus/.Google Scholar
Hofstede, Geert. 2001. Culture's Consequences: Comparing Values, Behaviors, Institutions and Organizations across Nations. Sage Publications.Google Scholar
Holden, P. B., Edwards, N. R., Gerten, D., and Schaphoff, S. 2013a. A model-based constraint on CO2 fertilisation. Biogeosciences, 10(1), 339355.Google Scholar
Holden, P. B., Edwards, N. R., Müller, S. A., Oliver, K. I. C., Death, R. M., and Ridgwell, A. 2013b. Controls on the spatial distribution of oceanic δ 13 C DIC. Biogeosciences, 10(3), 18151833.Google Scholar
Holden, Philip B., Edwards, Neil R., Ridgwell, A., Wilkinson, R. D., Fraedrich, K., Lunkeit, Frank, Pollitt, Hector, Mercure, J.-F., Salas, P., Lam, A., et al. 2018. Climate–carbon cycle uncertainties and the Paris Agreement. Nature Climate Change, 8(7), 609.Google Scholar
Hoogwijk, Monique, Faaij, André, de Vries, Bert, and Turkenburg, Wim. 2009. Exploration of regional and global cost–supply curves of biomass energy from short-rotation crops at abandoned cropland and rest land under four IPCC SRES land-use scenarios. Biomass and Bioenergy, 33(1), 2643.Google Scholar
Hotelling, H. 1931. The economics of exhaustible resources. Journal of Political Economy, 39, 137175.Google Scholar
Hottenrott, Hanna, and Rexhäuser, Sascha. 2015. Policy-induced environmental technology and inventive efforts: Is there a crowding out? Industry and Innovation, 22(5), 375401.Google Scholar
Houghton, J. 2015. Global Warming. Cambridge University Press.Google Scholar
Hsiang, Solomon M., Burke, Marshall, and Miguel, Edward. 2013. Quantifying the influence of climate on human conflict. Science, 341, 6151.Google Scholar
HSS. 2016. Guidelines for Regulatory Impact Analysis. Tech. rept. U.S. Department of Health & Human Services.Google Scholar
Hubbert, M. K. 1962. Energy Resources. A Report to the Committee on Natural Resources. Tech. rept. Publication No. 1000-D. National Academy of Science, Government Printing Office.Google Scholar
Hughes, Nick, Strachan, Neil, and Gross, Robert. 2013. The structure of uncertainty in future low carbon pathways. Energy Policy, 52, 4554.Google Scholar
Hung, Shiu-Wan, and Wang, An-Pang. 2008. A small world in the patent citation network. Pages 15 of: 2008 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE.Google Scholar
Hurlstone, Mark J., Wang, Susie, Price, Annabel, Leviston, Zoe, and Walker, Iain. 2017. Cooperation studies of catastrophe avoidance: Implications for climate negotiations. Climatic Change, 140(2), 119133.Google Scholar
IEA. 2019. World Energy Outlook 2019. IEA/OECD.Google Scholar
IEA. 2020. World Energy Balances 2020. IEA/OECD.Google Scholar
IEA. 2021. IEA Policies Database. www.iea.org/policies.Google Scholar
IEA-ETSAP. 2016. IEA-ETSAP Optimization Modeling Documentation. http://iea-etsap.org/index.php/documentation.Google Scholar
Innes, A. M. 1913. What is money? Banking Law Journal, May, 377408.Google Scholar
IPCC. 2007. Climate Change 2007: Mitigation of Climate Change. Cambridge University Press.Google Scholar
IPCC. 2013. Climate Change 2013: The Physical Science Basis. Cambridge University Press.Google Scholar
IPCC. 2014. Climate Change 2014: Mitigation of Climate Change. Cambridge University Press.Google Scholar
IPCC. 2018. Special Report: Global Warming of 1.5° C. Cambridge University Press.Google Scholar
IRENA. 2019. A New World: The Geopolitics of the Energy Transformation. Tech. rept. IRENA.Google Scholar
Ives, M. C., Righetti, L., Schiele, J., De Meyer, K., Hubble-Rose, L., Teng, F., Kruitwagen, L., Tillmann-Morris, L., Wang, T., Way, R., and Hepburn, C. 2021. The prospects for Paris: Behavioral insights into unconditional cooperation on climate change. Oxford INET Working Paper Series No. 21-04.Google Scholar
Jaffe, Adam B., and Stavins, Robert N. 1994. The energy-efficiency gap: What does it mean? Energy Policy, 22(10), 804810.Google Scholar
Jarvis, A. J., Jarvis, S. J., and Hewitt, C. N. 2015. Resource acquisition, distribution and end-use efficiencies and the growth of industrial society. Earth System Dynamics, 6(2), 689.Google Scholar
Jarvis, Andrew. 2018. Energy returns and the long-run growth of global industrial society. Ecological Economics, 146, 722729.Google Scholar
Jaxa-Rozen, Marc, and Trutnevyte, Evelina. 2021. Sources of uncertainty in long-term global scenarios of solar photovoltaic technology. Nature Climate Change, 11(3), 266273.Google Scholar
Jennings, T., Tipper, H. A., Daglish, J., Grubb, M., and Drummond, P. 2020. Policy, Innovation and Cost Reduction in UK Offshore Wind. Tech. rept. Carbon Trust.Google Scholar
Jevons, William Stanley. 1876. Money and the Mechanism of Exchange. Vol. 17. D. Appleton.Google Scholar
Jochem, Eberhard, and Gruber, Edelgard. 2007. Local learning-networks on energy efficiency in industry: Successful initiative in Germany. Applied Energy, 84(7–8), 806816.Google Scholar
Johnson, Eric J., and Goldstein, Daniel. 2003. Do defaults save lives? Science, 302(5649), 13381339.Google Scholar
Jorgenson, Dale W., and Wilcoxen, Peter J. 1993. Energy prices, productivity, and economic growth. Annual Review of Energy and the Environment, 18, 343395.Google Scholar
Jump, Alistair S., and Penuelas, Josep. 2005. Running to stand still: Adaptation and the response of plants to rapid climate change. Ecology Letters, 8(9), 10101020.Google Scholar
Kadanoff, Leo P. 2000. Statistical Physics: Statics, Dynamics and Renormalization. World Scientific Publishing Company.Google Scholar
Kahneman, D. 2003. Maps of bounded rationality: Psychology for behavioral economics. American Economic Review, 93(5), 14491475.Google Scholar
Kahneman, D., and Tversky, A. 1979. Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263291.Google Scholar
Kaldor, N. 1957. A model of economic-growth. Economic Journal, 67(268), 586624.Google Scholar
Kapur, Sandeep. 1995. Technological diffusion with social learning. The Journal of Industrial Economics, 43(2), 173195.Google Scholar
Karmeshu, , Bhargava, S. C., and Jain, V. P. 1985. A rationale for law of technological substitution. Regional Science and Urban Economics, 15(1), 137141.Google Scholar
Kattel, Rainer, Mazzucato, Mariana, Ryan-Collins, Josh, and Sharpe, Simon. 2018. The economics of change: Policy and appraisal for missions, market shaping and public purpose Policy Report. Institute for Innovation and Public Purpose WP 2018-06.Google Scholar
Katz, J. Sylvan. 2016. What is a complex innovation system? PLoS One, 11(6), e0156150.Google Scholar
Kauffman, Stuart A. 2000. Investigations. Oxford University Press.Google Scholar
Kay, John, Nash, David, Silim, Amna, Ormerod, Paul, Hallsworth, Michael, Fisher, Greg, Hodgson, Geoffrey M., Dolphin, Tony, Westlake, Stian, Watson, Jim, et al. 2012. Complex new world: Translating new economic thinking into public policy. Institute for Public Policy Research, London.Google Scholar
Keairns, D. L., Darton, R. C., and Irabien, A. 2016. The energy-water-food nexus. Annual Review of Chemical and Biomolecular Engineering, 7, 239262.Google Scholar
Keen, Steve. 1995. Finance and economic breakdown: Modeling Minsky's ‘financial instability hypothesis'. Journal of Post Keynesian Economics, 17(4), 607635.Google Scholar
Keen, Steve. 2011. Debunking Economics–Revised and Expanded Edition. Zed Books.Google Scholar
Keen, Steve. 2013. Predicting the ‘Global financial crisis': Post-Keynesian macroeconomics. Economic Record, 89(285), 228254.Google Scholar
Keen, Steve. 2017. Can We Avoid Another Financial Crisis? John Wiley & Sons.Google Scholar
Kellerborg, Klas, Brouwer, Werner, and van Baal, Pieter. 2020. Costs and benefits of interventions aimed at major infectious disease threats: Lessons from the literature. The European Journal of Health Economics, 21, 13291350.Google Scholar
Keynes, John Maynard. 1921. A Treatise on Probability. Macmillan & Co.Google Scholar
Keynes, John Maynard. 1930. Treatise on Money: Pure Theory of Money. Vol. I. Macmillan.Google Scholar
Keynes, John Maynard. 1936. The General Theory of Employment, Interest and Money. Palgrave-Macmillan.Google Scholar
King, D., Shrag, D., Dadi, Z., Ye, Q., and Ghosh, A. 2015.Climate Change: A Risk Assessment. Tech. rept. Cambridge University Centre for Science and Policy.Google Scholar
King, J. E. 2015. Advanced Introduction to Post Keynesian Economics. Edward Elgar.Google Scholar
Kirman, Alan P. 1992. Whom or what does the representative individual represent? The Journal of Economic Perspectives, 6(2), 117136.Google Scholar
Kishore, Vimal, Santhanam, M. S., and Amritkar, R. E. 2011. Extreme events on complex networks. Physical Review Letters, 106(18), 188701.Google Scholar
Kiyotaki, Nobuhiro, and Moore, John. 1997. Credit cycles. Journal of Political Economy, 105(2), 211248.Google Scholar
Kiyotaki, Nobuhiro, and Wright, Randall. 1989. On money as a medium of exchange. Journal of Political Economy, 97(4), 927954.Google Scholar
Klingebiel, Ronald, and Rammer, Christian. 2014. Resource allocation strategy for innovation portfolio management. Strategic Management Journal, 35(2), 246268.Google Scholar
Knetsch, Jack L. 1989. The endowment effect and evidence of nonreversible indifference curves. The American Economic Review, 79(5), 12771284.Google Scholar
Knight, Frank H. 1921. Risk, Uncertainty and Profit. Houghton Mifflin Company.Google Scholar
Knobloch, F., and Mercure, J.-F. 2016. The behavioural aspect of green technology investments: A general positive model in the context of heterogeneous agents. Environmental Innovation and Societal Transitions, 21, 3955.Google Scholar
Knobloch, F., Mercure, J.-F., Pollitt, H., Chewpreecha, U., and Lewney, R. L. B. 2017. A Technical Analysis of FTT:Heat–A Simulation Model for Technological Change in the Residential Heating Sector. Tech. rept. European Commission, DG Energy, https://ec.europa.eu/energy/sites/ener/files/documents/technical_ analysis_residential_heat.pdf.Google Scholar
Knobloch, Florian, Pollitt, Hector, Chewpreecha, Unnada, Daioglou, Vassilis, and Mercure, Jean-Francois. 2018. Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5 C. Energy Efficiency, 12(2), 521550.Google Scholar
Knobloch, Florian, Huijbregts, Mark A. J., and Mercure, Jean-Francois. 2019. Modelling the effectiveness of climate policies: How important is loss aversion by consumers? Renewable and Sustainable Energy Reviews, 116, 109419.Google Scholar
Knobloch, Florian, Hanssen, Steef V., Lam, Aileen, Pollitt, Hector, Salas, Pablo, Chewpreecha, Unnada, Huijbregts, Mark A. J., and Mercure, Jean-Francois. 2020. Net emission reductions from electric cars and heat pumps in 59 world regions over time. Nature Sustainability, 3, 437447.Google Scholar
Knobloch, Florian, Pollitt, Hector, Chewpreecha, Unnada, Lewney, Richard, Huijbregts, Mark A. J., and Mercure, Jean-Francois. 2021. FTT: Heat–A simulation model for technological change in the European residential heating sector. Energy Policy, 153, 112249.Google Scholar
Kocherlakota, Narayana R. 1998. Money is memory. Journal of Economic Theory, 81(2), 232251.Google Scholar
Köhler, J., Grubb, M., Popp, D., and Edenhofer, O. 2006. The transition to endogenous technical change in climate-economy models: A technical overview to the Innovation Modeling Comparison Project. Energy Journal, 1, 1755.Google Scholar
Köhler, J., Whitmarsh, L., Nykvist, B., Schilperoord, M., Bergman, N., and Haxeltine, A. 2009. A transitions model for sustainable mobility. Ecological Economics, 68(12), 29852995.Google Scholar
Kondratieff, Nikolai. 1928. The Long Wave Cycle. Russian Association of Social Research Institutes.Google Scholar
Kot, Mark. 2001. Elements of Mathematical Ecology. Cambridge University Press.Google Scholar
Kreindler, Gabriel E., and Young, H. Peyton. 2013. Fast convergence in evolutionary equilibrium selection. Games and Economic Behavior, 80, 3967.Google Scholar
Kreindler, Gabriel E., and Young, H. Peyton. 2014. Rapid innovation diffusion in social networks. Proceedings of the National Academy of Sciences, 111(Supplement 3), 1088110888.Google Scholar
Kriegler, Elmar, Weyant, John P., Blanford, Geoffrey J., Krey, Volker, Clarke, Leon, Edmonds, Jae, Fawcett, Allen, Luderer, Gunnar, Riahi, Keywan, Richels, Richard, et al. 2014. The role of technology for achieving climate policy objectives: Overview of the EMF 27 study on global technology and climate policy strategies. Climatic Change, 123(3–4), 353367.Google Scholar
Kriegler, Elmar, Petermann, Nils, Krey, Volker, Schwanitz, Valeria Jana, Luderer, Gunnar, Ashina, Shuichi, Bosetti, Valentina, Eom, Jiyong, Kitous, Alban, Méjean, Aurélie, et al. 2015a. Diagnostic indicators for integrated assessment models of climate policy. Technological Forecasting and Social Change, 90, 4561.Google Scholar
Kriegler, Elmar, Riahi, Keywan, Bauer, Nico, Schwanitz, Valeria Jana, Petermann, Nils, Bosetti, Valentina, Marcucci, Adriana, Otto, Sander, Paroussos, Leonidas, and Rao, Shilpa L. B. 2015b. Making or breaking climate targets: The AMPERE study on staged accession scenarios for climate policy. Technological Forecasting and Social Change, 90, 2444.Google Scholar
Kurian, Mathew. 2017. The water-energy-food nexus: Trade-offs, thresholds and transdisci- plinary approaches to sustainable development. Environmental Science & Policy, 68, 97106.Google Scholar
Kwasnicki, W., and Kwasnicka, H. 1996. Long-term diffusion factors of technological development: An evolutionary model and case study. Technological Forecasting and Social Change, 52(1), 3157.Google Scholar
Kymlicka, Will. 2002. Contemporary Political Philosophy: An Introduction. Oxford University Press.Google Scholar
La Rovere, Emilio Lèbre, Pereira, André Santos, and Simões, André Felipe. 2011. Biofuels and sustainable energy development in Brazil. World Development, 39(6), 10261036.Google Scholar
Lacopetta, Maurizio. 2019. The emergence of money: A dynamic analysis. Macroeconomic Dynamics, 23(7), 25732596.Google Scholar
Lafond, François, Bailey, Aimee Gotway, Bakker, Jan David, Rebois, Dylan, Zadourian, Rubina, McSharry, Patrick, and Farmer, J. Doyne. 2018. How well do experience curves predict technological progress? A method for making distributional forecasts. Technological Forecasting and Social Change, 128, 104117.Google Scholar
Lakka, Spyridoula, Michalakelis, Christos, Varoutas, Dimitris, and Martakos, Draculis. 2013. Competitive dynamics in the operating systems market: Modeling and policy implications. Technological Forecasting and Social Change, 80(1), 88105.Google Scholar
Lam, Aileen, and Mercure, Jean-Francois. 2021. Which policy mixes are best for decarbonising passenger cars? Simulating interactions among taxes, subsidies and regulations for the United Kingdom, the United States, Japan, China, and India. Energy Research & Social Science, 75, 101951.Google Scholar
Lambin, Eric F., and Meyfroidt, Patrick. 2011. Global land use change, economic globalization, and the looming land scarcity. Proceedings of the National Academy of Sciences, 108(9), 34653472.Google Scholar
Lamperti, Francesco, Dosi, Giovanni, Napoletano, Mauro, Roventini, Andrea, and Sapio, Alessandro. 2018. Faraway, so close: Coupled climate and economic dynamics in an agent-based integrated assessment model. Ecological Economics, 150, 315339.Google Scholar
Lane, David. 1997. Is what is good for each best for all? Learning from others in the information contagion model. Pages 105128 of: The Economy as an Evolving Complex System II. Santa Fe Institute studies in the sciences of complexity. Vol. 27. Westview Press.Google Scholar
Lapola, David M., Martinelli, Luiz A., Peres, Carlos A., Ometto, Jean P. H. B., Ferreira, Manuel E., Nobre, Carlos A., Aguiar, Ana Paula D., Bustamante, Mercedes M. C., Cardoso, Manoel F., Costa, Marcos H., et al. 2014. Pervasive transition of the Brazilian land-use system. Nature Climate Change, 4(1), 2735.Google Scholar
Lapola, David M., Schaldach, Ruediger, Alcamo, Joseph, Bondeau, Alberte, Koch, Jennifer, Koelking, Christina, and Priess, Joerg A. 2010. Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proceedings of the National Academy of Sciences, 107(8), 33883393.Google Scholar
Laughlin, R. B., and Pines, David. 2000. The Theory of Everything. Proceedings of the National Academy of Sciences, 97(1), 2831.Google Scholar
Lavoie, Marc. 2014. Post-Keynesian Economics: New Foundations. Edward Elgar Publishing.Google Scholar
Lavoie, Marc. 2020. Was Hyman Minsky a post-Keynesian economist? Review of Evolutionary Political Economy, 1(1), 85101.Google Scholar
Leck, Hayley, Conway, Declan, Bradshaw, Michael, and Rees, Judith. 2015. Tracing the water–energy–food nexus: Description, theory and practice. Geography Compass, 9(8), 445460.Google Scholar
Lee, S., Pollitt, H., and Park, P.-S. 2015. Low-Carbon Sustainable Future in East Asia. Routledge.Google Scholar
Lehmann, Paul, Sijm, Jos, Gawel, Erik, Strunz, Sebastian, Chewpreecha, Unnada, Mercure, Jean-Francois, and Pollitt, Hector. 2019. Addressing multiple externalities from electricity generation: A case for EU renewable energy policy beyond 2020? Environmental Economics and Policy Studies, 21(2), 255283.Google Scholar
Lenton, Tim, and Watson, Andrew. 2011. Revolutions That Made the Earth. Oxford University Press.Google Scholar
Lenton, Timothy M. 2020. Tipping positive change. Philosophical Transactions of the Royal Society B, 375(1794), 20190123.Google Scholar
Lenton, Timothy M., Held, Hermann, Kriegler, Elmar, Hall, Jim W., Lucht, Wolfgang, Rahmstorf, Stefan, and Schellnhuber, Hans Joachim. 2008. Tipping elements in the Earth's climate system. Proceedings of the National Academy of Sciences, 105(6), 17861793.Google Scholar
Lewis, Simon L., Brando, Paulo M., Phillips, Oliver L., van der Heijden, Geertje M. F., and Nepstad, Daniel C. 2011. The 2010 amazon drought. Science, 331(6017), 554554.Google Scholar
Li, Xin, Chen, Hsinchun, Huang, Zan, and Roco, Mihail C. 2007. Patent citation network in nanotechnology (1976–2004). Journal of Nanoparticle Research, 9(3), 337352.Google Scholar
Libet, Benjamin, Wright, Elwood W. Jr, and Gleason, Curtis A. 1983. Preparation-or intention-to-act, in relation to pre-event potentials recorded at the vertex. Electroencephalography and Clinical Neurophysiology, 56(4), 367372.Google Scholar
Lipsey, Richard G., and Lancaster, Kelvin. 1956. The general theory of second best. The Review of Economic Studies, 24(1), 1132.Google Scholar
Liu, Cixin. 2014. The Three-Body Problem. Head of Zeus.Google Scholar
Liu, J., Mooney, H., Hull, V., Davis, S.J., Gaskell, J., Hertel, T., Lubchenco, J., Seto, K.C., Gleick, P., Kremen, C. and Li, S., 2015. Systems integration for global sustainability. Science, 347(6225), p.1258832.Google Scholar
Löschel, Andreas. 2002. Technological change in economic models of environmental policy: A survey. Ecological Economics, 43(2–3), 105126.Google Scholar
Lossau, Selma, Fischer, Günther, Tramberend, Sylvia, van Velthuizen, Harrij, Kleinschmit, Birgit, and Schomäcker, Reinhard. 2015. Brazil's current and future land balances: Is there residual land for bioenergy production? Biomass and Bioenergy, 81, 452461.Google Scholar
Lotka, Alfred J. 1925. Elements of Physical Biology. Williams and Wilkins Company.Google Scholar
Lucas, Robert E. Jr, et al. 1976. Econometric policy evaluation: A critique. Pages 1946 of: Carnegie-Rochester Conference Series on Public Policy. Vol. 1.Google Scholar
Lucas, Robert E. Jr, et al. 1996. Nobel lecture: Monetary neutrality. Journal of Political Economy, 104(4), 661682.Google Scholar
Lutz, Christian, Meyer, Bernd, and Wolter, Marc Ingo. 2009. The global multisec- tor/multicountry 3-E model GINFORS: A description of the model and a baseline forecast for global energy demand and CO2 emissions. International Journal of Global Environmental Issues, 10(1–2), 2545.Google Scholar
Lynham, John, and Tarui, Nori. 2014. What can water demand programs learn from electricity demand programs. Pages 217233 of: Routledge Handbook of Water Economics and Institutions. Routledge.Google Scholar
Malhi, Yadvinder, Roberts, J. Timmons, Betts, Richard A., Killeen, Timothy J., Li, Wenhong, and Nobre, Carlos A. 2008. Climate change, deforestation, and the fate of the Amazon. Science, 319(5860), 169172.Google Scholar
Mansfield, E. 1961. Technical change and the rate of imitation. Econometrica, 29(4), 741766.Google Scholar
Manski, Charles F. 1993. Identification of endogenous social effects: The reflection problem. The Review of Economic Studies, 60(3), 531542.Google Scholar
Marchau, Vincent A. W. J., Walker, Warren E., Bloemen, Pieter J. T. M., and Popper, Steven W. 2019. Decision-Making under Deep Uncertainty: From Theory to Practice. Springer Nature.Google Scholar
Marchetti, C., and Nakicenovic, N. 1978. The Dynamics of Energy Systems and the Logistic Substitution Model. Tech. rept. IIASA, http://pure.iiasa.ac.at/id/eprint/1024/.Google Scholar
Marengo, Jose A., and Bernasconi, Mauro. 2015. Regional differences in aridity/drought conditions over Northeast Brazil: Present state and future projections. Climatic Change, 129(1), 103115.Google Scholar
Marengo, J. A., Tomasella, J., Alves, L. M., Soares, W. R., and Rodriguez, D. A. 2011, The drought of 2010 in the context of historical droughts in the Amazon region, Geophys. Res. Lett., 38, L12703.Google Scholar
Marengo, Jose A., Alves, Lincoln M., Soares, Wagner R., Rodriguez, Daniel A., Camargo, Helio, Riveros, Marco Paredes, and Pabló, Amelia Diaz. 2013. Two contrasting severe seasonal extremes in tropical South America in 2012: Flood in Amazonia and drought in northeast Brazil. Journal of Climate, 26(22), 91379154.Google Scholar
Marengo, José A., Williams, Earle R., Alves, Lincloln M., Soares, Wagner R., and Rodriguez, Daniel A. 2016. Extreme seasonal climate variations in the Amazon basin: Droughts and floods. Pages 5576 of: Interactions between Biosphere, Atmosphere and Human Land-Use in the Amazon Basin. Springer.Google Scholar
Markkanen, Sanna, and Anger-Kraavi, Annela. 2019. Social impacts of climate change mitigation policies and their implications for inequality. Climate Policy, 19(7), 827844.Google Scholar
Markowitz, Harry. 1952. Portfolio selection. The Journal of Finance, 7(1), 7791.Google Scholar
Mas-Colell, A., Whinston, M. D., and Green, J. R. 1995. Microeconomic Theory. Oxford University Press.Google Scholar
Mass, William, and Robertson, Andrew. 1996. From textiles to automobiles: Mechanical and organizational innovation in the Toyoda enterprises. Business and Economic History, 25(2), 113.Google Scholar
Matêjka, F., and McKay, A. 2015. Rational inattention to discrete choices: A new foundation for the multinomial logit model. American Economic Review, 105(1), 27298.Google Scholar
Maurer, Luiz, Pereira, Mario, and Rosenblatt, José. 2005. Implementing Power Rationing in a Sensible Way: Lessons Learned and International Best Practices. World Bank.Google Scholar
Mazzucato, Mariana. 2013. The Entrepreneurial State: Debunking the Public vs. Private Myth in Risk and Innovation. Anthem.Google Scholar
Mazzucato, Mariana. 2018. The Value of Everything: Who Makes and Who Takes from the Real Economy. PublicAffairs.Google Scholar
Mazzucato, Mariana, and Penna, Caetano C. R. 2016. Beyond market failures: The market creating and shaping roles of state investment banks. Journal of Economic Policy Reform, 19(4), 305326.Google Scholar
Mazzucato, Mariana, and Semieniuk, Gregor. 2017. Public financing of innovation: New questions. Oxford Review of Economic Policy, 33, 2448.Google Scholar
Mazzucato, Mariana, and Semieniuk, Gregor. 2018. Financing renewable energy: Who is financing what and why it matters. Technological Forecasting and Social Change, 127, 822.Google Scholar
McCollum, D. L., Wilson, C., Pettifor, H., Ramea, K., Krey, V., Riahi, K., Bertram, C., Lin, Z., Edelenbosch, O. Y., and Fujisawa, S. 2016. Improving the behavioral realism of global integrated assessment models: An application to consumers' vehicle choices. Transportation Research Part D: Transport and Environment, 55, 322342.Google Scholar
McCollum, D. L., Zhou, Wenji, Bertram, Christoph, De Boer, Harmen-Sytze, Bosetti, Valentina, Busch, Sebastian, Després, Jacques, Drouet, Laurent, Emmerling, Johannes, Fay, Marianne, et al. 2018. Energy investment needs for fulfilling the Paris Agreement and achieving the Sustainable Development Goals. Nature Energy, 3(7), 589.Google Scholar
McDonald, Alan, and Schrattenholzer, Leo. 2001. Learning rates for energy technologies. Energy Policy, 29(4), 255261.Google Scholar
McEvoy, David M., and Cherry, Todd L. 2016. The prospects for Paris: Behavioral insights into unconditional cooperation on climate change. Palgrave Communications, 2, 16056.Google Scholar
McFadden, D. 1973. Conditional logit analysis of qualitative choice behavior. Pages 105142 of: Zarembka, Paul (ed.), Frontiers in Econometrics. Academic Press.Google Scholar
McFadden, D. 2001. Economic Choices. The American Economic Review, 91(3), 351378.Google Scholar
McGlade, Christophe, and Ekins, Paul. 2015. The geographical distribution of fossil fuels unused when limiting global warming to 2° C. Nature, 517, 187190.Google Scholar
McLeay, M., Radia, A., and Thomas, R. 2014. Money Creation in the Modern Economy. Tech. rept. Bank of England, www.bankofengland.co.uk/quarterly-bulletin/2014/q1/money-creation-in-the-modern-economy.Google Scholar
McNerney, James, Farmer, J. Doyne, Redner, Sidney, and Trancik, Jessika E. 2011. Role of design complexity in technology improvement. Proceedings of the National Academy of Sciences, 108(22), 90089013.Google Scholar
McShane, Blakeley B., Bradlow, Eric T., and Berger, Jonah. 2012. Visual influence and social groups. Journal of Marketing Research, 49(6), 854871.Google Scholar
Meifort, Anna. 2016. Innovation portfolio management: A synthesis and research agenda. Creativity and Innovation Management, 25(2), 251269.Google Scholar
Meijer, Karen S. 2015. A comparative analysis of the effectiveness of four supply chain initiatives to reduce deforestation. Tropical Conservation Science, 8(2), 583597.Google Scholar
Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C. B., Frieler, K., Knutti, R., Frame, D. J., and Allen, M. R. 2009. Greenhouse-gas emission targets for limiting global warming to 2° C. Nature, 458(7242), 11581162.Google Scholar
Mercure, Jean-Francois. 2012. FTT: Power : A global model of the power sector with induced technological change and natural resource depletion. Energy Policy, 48(0), 799811.Google Scholar
Mercure, Jean-Francois. 2015. An age structured demographic theory of technological change. Journal of Evolutionary Economics, 25, 787820.Google Scholar
Mercure, Jean-Francois. 2018. Fashion, fads and the popularity of choices: Micro-foundations for diffusion consumer theory. Structural Change and Economic Dynamics, 46, 194207.Google Scholar
Mercure, Jean-Francois. 2019. Toward risk-opportunity assessment in climate-friendly finance. One Earth, 1(4), 395398.Google Scholar
Mercure, Jean-Francois, and Lam, Aileen. 2015. The effectiveness of policy on consumer choices for private road passenger transport emissions reductions in six major economies. Environmental Research Letters, 10(6), 064008.Google Scholar
Mercure, Jean-Francois, and Salas, P. 2012. An assessment of global energy resource economic potentials. Energy, 46(1), 322336.Google Scholar
Mercure, Jean-Francois, and Salas, P. 2013. On the global economic potentials and marginal costs of non-renewable resources and the price of energy commodities. Energy Policy, 63, 469483.Google Scholar
Mercure, Jean-Francois, Karmouch, R., Anahory, Y., Roorda, S., and Schiettekatte, F. 2005. Dependence of the structural relaxation of amorphous silicon on implantation temperature. Physical Review B, 71(13), 134205.Google Scholar
Mercure, Jean-Francois, Goh, S. K., O'Farrell, E. C. T., Perry, R. S., Sutherland, M. L., Rost, A. W., Grigera, S. A., Borzi, R. A., Gegenwart, P., and Mackenzie, A. P. 2009. Quantum oscillations in the anomalous phase in Sr3Ru2O7. Physical Review Letters, 103(17), 176401.Google Scholar
Mercure, Jean-Francois, Rost, A. W., O'Farrell, E. C. T., Goh, S. K., Perry, R. S., Sutherland, M. L., Grigera, S. A., Borzi, R. A., Gegenwart, P., Gibbs, A. S., et al. 2010. Quantum oscillations near the metamagnetic transition in Sr3 Ru2O7. Physical Review B, 81(23), 235103.Google Scholar
Mercure, Jean-Francois, Bangura, A.F., Xu, Xiaofeng, Wakeham, N., Carrington, A., Walmsley, P., Greenblatt, M., and Hussey, N. E. 2012. Upper critical magnetic field far above the paramagnetic pair-breaking limit of superconducting one-dimensional Lio.9Mo6O17 single crystals. Physical Review Letters, 108(18), 187003.Google Scholar
Mercure, Jean-Francois, Pollitt, H., Chewpreecha, U., Salas, P., Foley, A. M., Holden, P. B., and Edwards, N. R. 2014. The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector. Energy Policy, 73(0), 686700.Google Scholar
Mercure, Jean-Francois, Pollitt, H., Bassi, A. M., Vinuales, J. E., and Edwards, N. R. 2016a. Modelling complex systems of heterogeneous agents to better design sustainability transitions policy. Global Environmental Change, 37, 102115.Google Scholar
Mercure, Jean-Francois, Knobloch, F., Pollitt, H., Lewney, R., Rademakers, K., Eichler, L., van der Laan, J., and Paroussos, L. 2016b. Policy-Induced Energy Technological Innovation and Finance for Low-Carbon Economic Growth. Study on the Macroeconomics of Energy and Climate Policies. Tech. rept. European Commission, https://ec.europa.eu/energy/sites/ener/files/documents/ENER%20Macro-Energy_Innovation_D2%20Final%20%28Ares%20registered%29.pdf.Google Scholar
Mercure, Jean-Francois, Pollitt, Hector, Edwards, Neil R., Holden, Philip B., Chewpreecha, Unnada, Salas, Pablo, Lam, Aileen, Knobloch, Florian, and Vinuales, Jorge E. 2018a. Environmental impact assessment for climate change policy with the simulation-based integrated assessment model E3ME-FTT-GENIE. Energy Strategy Reviews, 20, 195208.Google Scholar
Mercure, Jean-Francois, Lam, A., Billington, S., and. Pollitt, H. 2018b. Integrated assessment modelling as a positive science: Private passenger road transport policies to meet a climate target well below 2° C. Climatic Change, 151(2), 109129.Google Scholar
Mercure, Jean-Francois, Pollitt, Hector, Viñuales, Jorge E., Edwards, Neil R., Holden, Philip B., Chewpreecha, Unnada, Salas, Pablo, Sognnaes, Ida, Lam, Aileen, and Knobloch, Florian. 2018c. Macroeconomic impact of stranded fossil fuel assets. Nature Climate Change, 8(7), 588.Google Scholar
Mercure, Jean-Francois, Knobloch, Florian, Pollitt, Hector, Paroussos, Leonidas, Scrieciu, S. Serban, and Lewney, Richard. 2019a. Modelling innovation and the macroeconomics of low-carbon Transitions: Theory, perspectives and practical use. Climate Policy, 19(8), 10191037.Google Scholar
Mercure, Jean-Francois, Paim, Maria-Augusta, Bocquillon, Pierre, Lindner, Soeren, Salas, Pablo, Martinelli, Paula, Berchin, de Andra II de Guerra, J. B. S. O., Derani, Cristiane, de Albuquerque, C. L. Junior, et al. 2019b. System complexity and policy integration challenges: The Brazilian Energy-Water-Food Nexus. Renewable and Sustainable Energy Reviews, 105, 230243.Google Scholar
Mercure, Jean-Francois, Salas, P., Vercoulen, P., Semieniuk, G., Lam, A., Pollitt, H., Holden, P. B., Vakilifard, N., Chewpreecha, U., Edwards, N. R., et al. 2021a. Reframing incentives for climate policy action. Nature Energy, 6, 11331143.Google Scholar
Mercure, Jean-Francois, Sharpe, Simon, Vinuales, Jorge E, Ives, Matthew, Grubb, Michael, Lam, Aileen, Drummond, Paul, Pollitt, Hector, Knobloch, Florian, and Nijsse, Femke J. M. M. 2021b. Risk-opportunity analysis for transformative policy design and appraisal. Global Environmental Change, 70, 102359.Google Scholar
Miles, David K., Stedman, Michael, and Heald, Adrian H. 2020. ‘Stay at Home, Protect the National Health Service, Save Lives': A cost benefit analysis of the lockdown in the United Kingdom. International Journal of Clinical Practice, e13674.Google Scholar
Millar, Richard J., Fuglestvedt, Jan S., Friedlingstein, Pierre, Rogelj, Joeri, Grubb, Michael J., Matthews, H. Damon, Skeie, Ragnhild B., Forster, Piers M., Frame, David J., and Allen, Myles R. 2017. Emission budgets and pathways consistent with limiting warming to 1.5° C. Nature Geoscience, 10(10), 741747.Google Scholar
Miller, Shelie A. 2010. Minimizing land use and nitrogen intensity of bioenergy. Environmental Science & Technology, 44(10), 39323939.Google Scholar
Minsky, Hyman. 1982. Can ‘It' Happen Again? Routledge.Google Scholar
Minsky, Hyman. 1986. Stabilizing an Unstable Economy. Yale University Press.Google Scholar
Miyoshi, H., and Kii, M. 2011. Technological Innovation and Public Policy. Palgrave Macmillan Asian Business Series.Google Scholar
Mokyr, Joel. 1992. Technological inertia in economic history. Journal of Economic History, 325338.Google Scholar
Monasterolo, Irene, and Raberto, Marco. 2018. The EIRIN flow-of-funds behavioural model of green fiscal policies and green sovereign bonds. Ecological Economics, 144, 228243.Google Scholar
Montoya, Jose M., and Solé, Ricard V. 2002. Small world patterns in food webs. Journal of Theoretical Biology, 214(3), 405412.Google Scholar
Moran, T. A., Brede, M. A. I., and Noble, J. 2013. The origin of money: An agent-based model. The Twelfth European Conference on Artificial Life, 472279.Google Scholar
Morgenstern, Oskar, and Von Neumann, John. 1953. Theory of Games and Economic Behavior. Princeton University Press.Google Scholar
Morris, S. A., and Pratt, D. 2003. Analysis of the Lotka-Volterra competition equations as a technological substitution model. Technological Forecasting and Social Change, 70(2), 103133.Google Scholar
Morton, Douglas C., DeFries, Ruth S., Shimabukuro, Yosio E., Anderson, Liana O., Arai, Egidio, del Bon Espirito-Santo, Fernando, Freitas, Ramon, and Morisette, Jeff. 2006. Cropland expansion changes deforestation dynamics in the southern Brazilian Amazon. Proceedings of the National Academy of Sciences, 103(39), 1463714641.Google Scholar
Muth, John F. 1961. Rational expectations and the theory of price movements. Econometrica: Journal of the Econometric Society, 29(3), 315335.Google Scholar
Nagel, Thomas. 1974. What is it like to be a bat? The Philosophical Review, 83(4), 435450.Google Scholar
Nakicenovic, N. 1986. The automobile road to technological change: Diffusion of the automobile as a process of technological substitution. Technological Forecasting and Social Change, 29(4), 309340.Google Scholar
NCE. 2018. Unlocking the Inclusive Growth Story of the 21st Century: Accelerating Climate Action in Urgent Times. Tech. rept. New Climate Economy.Google Scholar
Nelson, R. R., and Winter, S. G. 1982. An Evolutionary Theory of Economic Change. Harvard University Press.Google Scholar
Nepstad, Daniel C., Stickler, Claudia M., and Almeida, Oriana T. 2006. Globalization of the Amazon soy and beef industries: Opportunities for conservation. Conservation Biology, 20(6), 15951603.Google Scholar
Nepstad, Daniel C., Stickler, Claudia M., Soares-Filho, Britaldo, and Merry, Frank. 2008. Interactions among Amazon land use, forests and climate: Prospects for a near-term forest tipping point. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1498), 17371746.Google Scholar
Nepstad, Daniel C., McGrath, David, Stickler, Claudia, Alencar, Ane, Azevedo, Andrea, Swette, Briana, Bezerra, Tathiana, DiGiano, Maria, Shimada, João, da Motta, Ronaldo Seroa, et al. 2014. Slowing Amazon deforestation through public policy and interventions in beef and soy supply chains. Science, 344(6188), 11181123.Google Scholar
Newton, Peter, Gomez, Angelo Eduardo Angel, Jung, Suhyun, Kelly, Timothy, de Araújo Mendes, Thiago, Rasmussen, Laura Vang, dos Reis, Júlio César, Rodrigues, Renato de Aragão Ribeiro, Tipper, Richard, van der Horst, Dan, et al. 2016. Overcoming barriers to low carbon agriculture and forest restoration in Brazil: The Rural Sustentável project. World Development Perspectives, 4, 57.Google Scholar
NGFS. 2019. A Call for Action: Climate Change as a Source of Financial Risk. Tech. rept. Central Banks and Supervisors Network for Greening the Financial System, www.ngfs.net/sites/default/files/medias/documents/synthese_ngfs-2019_-_17042019_0.pdf.Google Scholar
NIES. 2012. Asia-Pacific Integrated Model. www-iam.nies.go.jp/aim/.Google Scholar
Nobre, Carlos A., Sampaio, Gilvan, Borma, Laura S., Castilla-Rubio, Juan Carlos, Silva, José S., and Cardoso, Manoel. 2016. Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm. Proceedings of the National Academy of Sciences, 113(39), 1075910768.Google Scholar
Nordhaus, William D. 1973. Some skeptical thoughts on the theory of induced innovation. The Quarterly Journal of Economics, 87(2), 208219.Google Scholar
Nordhaus, William D. 2007a. Critical assumptions in the Stern review on climate change. Science, 317(5835), 201202.Google Scholar
Nordhaus, William D. 2007b. A review of the Stern review on the economics of climate change. Journal of Economic Literature, 45(3), 686702.Google Scholar
Nordhaus, William D. 2010. Economic aspects of global warming in a post-Copenhagen environment. Proceedings of the National Academy of Sciences, 107(26), 1172111726.Google Scholar
Nordhaus, William D. 2014. The perils of the learning model for modeling endogenous technological change. The Energy Journal, 35, 113.Google Scholar
Nordhaus, William D. 2015. Climate clubs: Overcoming free-riding in international climate policy. American Economic Review, 105(4), 133970.Google Scholar
Nordhaus, William D. 2017. Revisiting the social cost of carbon. Proceedings of the National Academy of Sciences, 201609244, 114(7), 15181523.Google Scholar
Nordhaus, William D. 2020. DICE/RICE Models. https://williamnordhaus.com/dicerice-models.Google Scholar
Nordhaus, William D., and Samuelson, P. 2009. Economics. 19th ed. McGraw-Hill/Irwin.Google Scholar
OECD. 2015. System Innovation: Synthesis Report. Tech. rept. OECD, www.pte.pl/pliki/2/1/OECD%20System.pdf.Google Scholar
Omori, F. 1895. On the aftershocks of earthquakes. Journal of the College of Science, Imperial University of Tokyo.Google Scholar
O'Neale, Dion R. J., and Hendy, Shaun C. 2012. Power law distributions of patents as indicators of innovation. PLoS One, 7(12), e49501.Google Scholar
O'Sullivan, Meghan, Overland, Indra, and Sandalow, David. 2017. The geopolitics of renewable energy. SSRN HKS Working Paper No. RWP17-027.Google Scholar
Overland, Indra. 2019. The geopolitics of renewable energy: Debunking four emerging myths. Energy Research & Social Science, 49, 3640.Google Scholar
Paim, Maria-Augusta, Dalmarco, Arthur R., Yang, Chung-Han, Salas, Pablo, Lindner, Sören, Mercure, Jean-Francois, de Andrade Guerra, José Baltazar S. O., Derani, Cristiane, da Silva, Tatiana Bruce, Viñuales, Jorge E., et al. 2019. Evaluating regulatory strategies for mitigating hydrological risk in Brazil through diversification of its electricity mix. Energy Policy, 128, 393401.Google Scholar
Paim, Maria-Augusta, Salas, Pablo, Lindner, Sören, Pollitt, Hector, Mercure, Jean-Francois, Edwards, Neil R., and Viñuales, Jorge E. 2020. Mainstreaming the Water-Energy-Food nexus through nationally determined contributions (NDCs): The case of Brazil. Climate Policy, 20(2), 163178.Google Scholar
Palmer, R. G., Arthur, W. B., Holland, J. H., LeBaron, B., and Tayler, P. 1994. Artificial economic life: A simple model of a stockmarket. Physica D, 75(1–3), 264274.Google Scholar
Pavlov, Ivan Petrovitch, and Gantt, William. 1928. Lectures on Conditioned Reflexes: Twenty- Five Years of Objective Study of the Higher Nervous Activity (Behaviour) of Animals. Liveright Publishing Corporation.Google Scholar
Peñasco, Cristina, Anadón, Laura Díaz, and Verdolini, Elena. 2021. Systematic review of the outcomes and trade-offs of ten types of decarbonization policy instruments. Nature Climate Change, 11(3), 257265.Google Scholar
Perez, Carlota. 1983. Structural change and assimilation of new technologies in the economic and social systems. Futures, 15(5), 357375.Google Scholar
Perez, Carlota. 2001. Technological Revolutions and Financial Capital. Edward Elgar.Google Scholar
Perman, Roger, Ma, Yue, McGilvray, James, and Common, Michael. 2003. Natural Resource and Environmental Economics, 3rd ed. Pearson Education Limited.Google Scholar
Peters, Ole. 2019. The ergodicity problem in economics. Nature Physics, 15(12), 12161221.Google Scholar
Pettifor, Hazel, Wilson, Charlie, McCollum, David, and Edelenbosch, O. Y. 2017a. Modelling social influence and cultural variation in global low-carbon vehicle transitions. Global Environmental Change, 47, 7687.Google Scholar
Pettifor, Hazel, Wilson, C., Axsen, J., Abrahamse, W., and Anable, J. 2017b. Social influence in the global diffusion of alternative fuel vehicles: A meta-analysis. Journal of Transport Geography, 62, 247261.Google Scholar
Phillips, Oliver L., Aragão, Luiz E. O. C., Lewis, Simon L., Fisher, Joshua B., Lloyd, Jon, López-González, Gabriela, Malhi, Yadvinder, Monteagudo, Abel, Peacock, Julie, Quesada, Carlos A., et al. 2009. Drought sensitivity of the Amazon rainforest. Science, 323(5919), 13441347.Google Scholar
Piesse, J., and Thirtle, C. 2009. Three bubbles and a panic: An explanatory review of recent food commodity price events. Food Policy, 34(2), 119129.Google Scholar
Piketty, Thomas. 2013. Le capital au XXIe siècle. Le Seuil.Google Scholar
Pindyck, Robert S. 2017. The use and misuse of models for climate policy. Review of Environmental Economics and Policy, 11(1), 100114.Google Scholar
Pollitt, H., and Mercure, J.-F. 2017. The role of money and the financial sector in energyeconomy models used for assessing climate and energy policy. Climate Policy, 114.Google Scholar
Popp, David. 2002. Induced innovation and energy prices. American Economic Review, 92, 160180.Google Scholar
Popp, David. 2006. Innovation in climate policy models: Implementing lessons from the economics of R&D. Energy Economics, 28(5–6), 596609.Google Scholar
Popp, David, and Newell, Richard. 2012. Where does energy R&D come from? Examining crowding out from energy R&D. Energy Economics, 34(4), 980991.Google Scholar
Porter, Michael E. 1991. America's green strategy. Scientific American, 264(4), 168.Google Scholar
Porter, Michael E., and van der Linde, C. 1995. Toward a new conception of the environmentcompetitiveness relationship. Journal of Economic Perspectives, 9(4), 97118.Google Scholar
Porter, Michael E., et al. 1996. What is strategy? Harvard Business Review, 74(6), 6178.Google Scholar
Prado, Fernando Almeida Jr, Athayde, Simone, Mossa, Joann, Bohlman, Stephanie, Leite, Flavia, and Oliver-Smith, Anthony. 2016. How much is enough? An integrated examination of energy security, economic growth and climate change related to hydropower expansion in Brazil. Renewable and Sustainable Energy Reviews, 53, 11321136.Google Scholar
Quitzow, Rainer, Walz, Rainer, Köhler, Jonathan, and Rennings, Klaus. 2014. The concept of ‘lead markets' revisited: Contribution to environmental innovation theory. Environmental Innovation and Societal Transitions, 10, 419.Google Scholar
Raddant, Matthias, and Wagner, Friedrich. 2016. Phase transition in the S&P stock market. Journal of Economic Interaction and Coordination, 11(2), 229246.Google Scholar
Rai, Varun, and Henry, Adam Douglas. 2016. Agent-based modelling of consumer energy choices. Nature Climate Change, 6(6), 556562.Google Scholar
Rehrl, T., and Friedrich, R. 2006. Modelling long-term oil price and extraction with a Hubbert approach: The LOPEX model. Energy Policy, 34(15), 24132428.Google Scholar
Reinhart, Carmen M., and Rogoff, Kenneth S. 2009. This Time Is Different: Eight Centuries of Financial Folly. Princeton University Press.Google Scholar
Reinhart, Carmen M., and Rogoff, Kenneth S. 2010. Growth in a time of debt. American Economic Review, 100(2), 573578.Google Scholar
Rennings, K. L. B. 2014. Global diffusion of environmental innovations. Environmental Innovation and Societal Transitions, special issue, 10, 194.Google Scholar
Reynolds, D. B., and Baek, J. 2012. Much ado about Hotelling: Beware the ides of Hubbert. Energy Economics, 34(1), 162170.Google Scholar
Riahi, Keywan, Rao, Shilpa, Krey, Volker, Cho, Cheolhung, Chirkov, Vadim, Fischer, Guenther, Kindermann, Georg, Nakicenovic, Nebojsa, and Rafaj, Peter. 2011. RCP 8.5: A scenario of comparatively high greenhouse gas emissions. Climatic Change, 109(1), 3357.Google Scholar
Rittel, Horst W. J., and Webber, Melvin M. 1973. Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155169.Google Scholar
Rivers, Nic, and Jaccard, Mark. 2006. Useful models for simulating policies to induce technological change. Energy Policy, 34(15), 20382047.Google Scholar
Rockström, Johan, Steffen, Will, Noone, Kevin, Persson, Åsa, Chapin, F. Stuart, Lambin, Eric F., Lenton, Timothy M., Scheffer, Marten, Folke, Carl, Schellnhuber, Hans Joachim, et al. 2009. A safe operating space for humanity. Nature, 461(7263), 472475.Google Scholar
Rogelj, Joeri, McCollum, David L., Reisinger, Andy, Meinshausen, Malte, and Riahi, Keywan. 2013. Probabilistic cost estimates for climate change mitigation. Nature, 493(7430), 7983.Google Scholar
Rogelj, Joeri, Luderer, Gunnar, Pietzcker, Robert C., Kriegler, Elmar, Schaeffer, Michiel, Krey, Volker, and Riahi, Keywan. 2015. Energy system transformations for limiting end- of-century warming to below 1.5° C. Nature Climate Change, 5(6), 519.Google Scholar
Rogelj, Joeri, Popp, Alexander, Calvin, Katherine V., Luderer, Gunnar, Emmerling, Johannes, Gernaat, David, Fujimori, Shinichiro, Strefler, Jessica, Hasegawa, Tomoko, Marangoni, Giacomo, et al. 2018. Scenarios towards limiting global mean temperature increase below 1.5° C. Nature Climate Change, 8(4), 325.Google Scholar
Rogers, Everett M. 2010. Diffusion of Innovations. Simon and Schuster.Google Scholar
Romer, Paul M. 1986. Increasing returns and long-run growth. Journal of Political Economy, 94(5), 10021037.Google Scholar
Rose, Steven K., Kriegler, Elmar, Bibas, Ruben, Calvin, Katherine, Popp, Alexander, van Vuuren, Detlef P., and Weyant, John. 2014. Bioenergy in energy transformation and climate management. Climatic Change, 123(3), 477493.Google Scholar
Ross, Michael L. 1999. The political economy of the resource curse. World Politics, 51(2), 297322.Google Scholar
Rotmans, J., Kemp, R., and Van Asselt, M. 2001. More evolution than revolution: Transition management in public policy. Foresight, 3(1), 1531.Google Scholar
Roukny, Tarik, Bersini, Hugues, Pirotte, Hugues, Caldarelli, Guido, and Battiston, Stefano. 2013. Default cascades in complex networks: Topology and systemic risk. Scientific Reports, 3, 2759.Google Scholar
Rudorff, Bernardo Friedrich Theodor, Aguiar, Daniel Alves, Silva, Wagner Fernando, Sugawara, Luciana Miura, Adami, Marcos, and Moreira, Mauricio Alves. 2010. Studies on the rapid expansion of sugarcane for ethanol production in São Paulo State (Brazil) using Landsat data. Remote Sensing, 2(4), 10571076.Google Scholar
Ryan, Bryce, and Gross, Neal C. 1943. The diffusion of hybrid seed corn in two Iowa communities. Rural Sociology, 8(1), 15.Google Scholar
Safarzynska, K., and van den Bergh, J. C. J. M. 2010. Evolutionary models in economics: A survey of methods and building blocks. Journal of Evolutionary Economics, 20(3), 329373.Google Scholar
Sahlins, Marshall. 1972. Stone Age Economics. Taylor & Francis.Google Scholar
Schaphoff, Sibyll, Bloh, Werner von, Rammig, Anja, Thonicke, Kirsten, Biemans, Hester, Forkel, Matthias, Gerten, Dieter, Heinke, Jens, Jägermeyr, Jonas, Knauer, Jürgen, et al. 2018. LPJmL4–a dynamic global vegetation model with managed land –Part 1: Model description. Geoscientific Model Development, 11(4), 13431375.Google Scholar
Schelkle, Waltraud. 2012. A crisis of what? Mortgage credit markets and the social policy of promoting homeownership in the United States and in Europe. Politics & Society, 40(1), 5980.Google Scholar
Scholten, Daniel. 2018. The Geopolitics of Renewables. Springer.Google Scholar
Scholten, Daniel, and Bosman, Rick. 2016. The geopolitics of renewables: Exploring the political implications of renewable energy systems. Technological Forecasting and Social Change, 103, 273283.Google Scholar
Schonberger, Robert B., Listokin, Yair J., Ayres, Ian, Yaesoubi, Reza, and Shelley, Zachary R. 2020. Cost benefit analysis of limited reopening relative to a herd immunity strategy or shelter in place for SARS-CoV-2 in the United States. medRxiv.Google Scholar
Schumpeter, Joseph A. 1934. The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest and the Business Cycle. Harvard University Press.Google Scholar
Schumpeter, Joseph A. 1939. Business Cycles. McGraw-Hill.Google Scholar
Schumpeter, Joseph A. 1942. Capitalism, Socialism and Democracy. Martino Publishing.Google Scholar
Schumpeter, Joseph A. 1947. The creative response in economic history. The Journal of Economic History, 7(2), 149159.Google Scholar
Schumpeter, Joseph A. 1991. Money and currency. Social Research, 499543.Google Scholar
Schumpeter, Joseph A. 2014. Treatise on Money. Worldbridge.Google Scholar
Schwarcz, Steven L. 2019. Systematic Regulation of Systemic Risk. Wisconsin Law Review, 1, 154.Google Scholar
Searchinger, Timothy, Heimlich, Ralph, Houghton, Richard A., Dong, Fengxia, Elobeid, Amani, Fabiosa, Jacinto, Tokgoz, Simla, Hayes, Dermot, and Yu, Tun-Hsiang. 2008. Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science, 319(5867), 12381240.Google Scholar
Semieniuk, G., Campiglio, E., Mercure, J.F., Volz, U. and Edwards, N.R., 2021. Low- carbon transition risks for finance. Wiley Interdisciplinary Reviews: Climate Change, 12(1), p.e678.Google Scholar
Semieniuk, G., Holden, P.B., Mercure, J.F., Salas, P., Pollitt, H., Jobson, K., Vercoulen, P., Chewpreecha, U., Edwards, N.R. and Viñuales, J.E., 2022. Stranded fossil-fuel assets translate to major losses for investors in advanced economies. Nature Climate Change, 12, 532538.Google Scholar
Shackle, George Lennox Sharman. 2010. Uncertainty in Economics and Other Reflections. Cambridge University Press.Google Scholar
Shaikh, Anwar. 1974. Laws of production and laws of algebra: The Humbug production function. The Review of Economics and Statistics, 56(1), 115120.Google Scholar
Sharif, M. N., and Kabir, C. 1976. Generalized model for forecasting technological substitution. Technological Forecasting and Social Change, 8(4), 353364.Google Scholar
Sharpe, Simon. 2019. Telling the boiling frog what he needs to know: Why climate change risks should be plotted as probability over time. Geoscience Communication, 2(1), 95100.Google Scholar
Silverberg, Gerald, Verspagen, Bart, et al. 1999. Long Memory in Time Series of Economic Growth and Convergence. MERIT, Maastricht Economic Research Institute on Innovation and Technology.Google Scholar
Simon, H. A. 1955. A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99118.Google Scholar
Small, K. A., and Rosen, H. S. 1981. Applied welfare economics with discrete choice models. Econometrica, 49(1), 105130.Google Scholar
Smeets, Edward M. W., Faaij, André P. C., Lewandowski, Iris M., and Turkenburg, Wim C. 2007. A bottom-up assessment and review of global bio-energy potentials to 2050. Progress in Energy and Combustion Science, 33(1), 56106.Google Scholar
Smil, Vaclav. 2019. Energy in World History. Routledge.Google Scholar
Smith, Wendell R. 1956. Product differentiation and market segmentation as alternative marketing strategies. The Journal of Marketing, 21(1), 38.Google Scholar
Snider, Elliot, Dasenbrock-Gammon, Nathan, McBride, Raymond, Debessai, Mathew, Vindana, Hiranya, Vencatasamy, Kevin, Lawler, Keith V., Salamat, Ashkan, and Dias, Ranga P. 2020. Room-temperature superconductivity in a carbonaceous sulfur hydride. Nature, 586(7829), 373377.Google Scholar
Solow, R. M. 1957. Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312320.Google Scholar
Sornette, A., and Sornette, D. 1989. Self-organized criticality and earthquakes. EPL (Europhysics Letters), 9(3), 197.Google Scholar
Sornette, Didier. 2017. Why Stock Markets Crash: Critical Events in Complex Financial Systems. Vol. 49. Princeton University Press.Google Scholar
Sorrell, S., Mallett, A., and Nye, S. 2011. Barriers to Industrial Energy Efficiency: A Literature Review. Working Paper 10/2011. United Nations Industrial Development Organization, http://sro.sussex.ac.uk/id/eprint/53957/1/WP102011_Barriers_to_Industrial_Energy_Efficiency_-_A_Literature_Review.pdf.Google Scholar
Spera, Stephanie A., Galford, Gillian L., Coe, Michael T., Macedo, Marcia N., and Mustard, John F. 2016. Land-use change affects water recycling in Brazil's last agricultural frontier. Global Change Biology, 22(10), 34053413.Google Scholar
Stankiewicz, Rikard. 2000. The concept of ‘design space'. Pages 234247 of: Technological Innovation as an Evolutionary Process. Cambridge University Press.Google Scholar
Stassinopoulos, Dimitris, and Bak, Per. 1995. Democratic reinforcement: A principle for brain function. Physical Review E, 51(5), 5033.Google Scholar
Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R., de Vries, W., de Wit, C. A., Folke, C. et al. 2015. Planetary boundaries: Guiding human development on a changing planet. Science, 347(6223).Google Scholar
Steg, Linda, Perlaviciute, Goda, and van der Werff, Ellen. 2015. Understanding the human dimensions of a sustainable energy transition. Frontiers in Psychology, 6, 805.Google Scholar
Stern, Nicholas. 2007. The Economics of Climate Change. Cambridge University Press.Google Scholar
Stern, Nicholas. 2015. Why Are We Waiting?: The Logic, Urgency, and Promise of Tackling Climate Change. MIT Press.Google Scholar
Stern, Nicholas. 2018. Public economics as if time matters: Climate change and the dynamics of policy. Journal of Public Economics, 162, 417.Google Scholar
Stern, Nicholas, and Taylor, Chris. 2007. Climate change: Risk, ethics, and the Stern review. Science, 317(5835), 203204.Google Scholar
Steyaert, Chris, and Hjorth, Daniel. 2008. Entrepreneurship As Social Change: Third Movements in Entrepreneurship Book. Vol. 3. Edward Elgar Publishing.Google Scholar
Sunstein, Cass R. 2015. The ethics of nudging. Yale Journal on Regulation, 32, 413.Google Scholar
TCFD. 2017. Recommendations of the Task Force on Climate-Related Financial Disclosures. Tech. rept. Task Force on Climate-Related Financial Disclosures, https://assets.bbhub.io/company/sites/60/2021/10/FINAL-2017-TCFD-Report.pdf.Google Scholar
Thaler, Richard H. 2016. Behavioral economics: Past, present, and future. American Economic Review, 106(7), 15771600.Google Scholar
Thaler, Richard H., and Sunstein, Cass R. 2009. Nudge: Improving Decisions about Health, Wealth, and Happiness. Penguin.Google Scholar
Thurner, Stefan. 2011. Systemic Financial Risk : Agent-Based Models to Understand the Leverage Cycle on National Scales and its Consequences. Tech. rept. OECD.Google Scholar
Thurner, Stefan, Windischberger, Christian, Moser, Ewald, Walla, Peter, and Barth, Markus. 2003. Scaling laws and persistence in human brain activity. Physica A: Statistical Mechanics and Its Applications, 326(3–4), 511521.Google Scholar
Thurner, Stefan, Hanel, R., and Klimek, P. 2018. Introduction to the Theory of Complex Systems. Oxford.Google Scholar
Tollefson, Jeff. 2015. Stopping deforestation: Battle for the Amazon. Nature News, 520(7545), 20.Google Scholar
Trutnevyte, Evelina. 2016. Does cost optimization approximate the real-world energy transition? Energy, 106, 182193.Google Scholar
Trutnevyte, Evelina, Hirt, Léon F., Bauer, Nico, Cherp, Aleh, Hawkes, Adam, Edelenbosch, Oreane Y., Pedde, Simona, and van Vuuren, Detlef P. 2019. Societal transformations in models for energy and climate policy: The ambitious next step. One Earth, 1(4), 423433.Google Scholar
Turnheim, B., Berkhout, F., Geels, F., Hof, A., McMeekin, A., Nykvist, B., and van Vuuren, D. 2015. Evaluating sustainability transitions pathways: Bridging analytical approaches to address governance challenges. Global Environmental Change, 35, 239253.Google Scholar
Tversky, Amos, and Kahneman, Daniel. 1974. Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 11241131.Google Scholar
Tversky, Amos, and Kahneman, Daniel. 1991. Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 10391061.Google Scholar
Ueckerdt, Falko, Pietzcker, Robert, Scholz, Yvonne, Stetter, Daniel, Giannousakis, Anastasis, and Luderer, Gunnar. 2017. Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model. Energy Economics, 64, 665684.Google Scholar
UNEP. 2018. Extending Our Horizons: Assessing Credit Risk and Opportunity in a Changing Climate: Outputs of a Working Group of 16 Banks Piloting the TCFD Recommendations; PART 1: Transition-Related Risks & Opportunities. Tech. rept. UNEP, www.unepfi.org/wordpress/wp-content/uploads/2018/04/EXTENDING-OUR-HORIZONS.pdf.Google Scholar
UNFCCC. 2015. Paris Agreeement. 22 April 2016, art 2(1)(a). Tech. rept. UNFCCC, http://unfccc.int/files/essential_background/convention/application/pdf/english_paris_agreement.pdf.Google Scholar
Utsu, Tokuji, Ogata, Yosihiko, et al. 1995. The centenary of the Omori formula for a decay law of aftershock activity. Journal of Physics of the Earth, 43(1), 133.Google Scholar
Utterback, James M., and Abernathy, William J. 1975. A dynamic model of process and product innovation. Omega, 3(6), 639656.Google Scholar
Vakulchuk, Roman, Overland, Indra, and Scholten, Daniel. 2020. Renewable energy and geopolitics: A review. Renewable and Sustainable Energy Reviews, 122, 109547.Google Scholar
Valverde, Sergi, Solé, Ricard V., Bedau, Mark A., and Packard, Norman. 2007. Topology and evolution of technology innovation networks. Physical Review E, 76(5), 056118.Google Scholar
van Asselt, Marjolein B. A., and Rotmans, Jan. 2002. Uncertainty in integrated assessment modelling. Climatic change, 54(1–2), 75105.Google Scholar
van Buskirk, R. D., Kantner, C. L. S., Gerke, B. F., and Chu, S. 2014. A retrospective investigation of energy efficiency standards: Policies may have accelerated long term declines in appliance costs. Environmental Research Letters, 9(11), 114010.Google Scholar
van de Graaf, Thijs, and Bradshaw, Michael. 2018. Stranded wealth: Rethinking the politics of oil in an age of abundance. International Affairs, 94(6), 13091328.Google Scholar
van de Waal, Erica, Borgeaud, Christèle, and Whiten, Andrew. 2013. Potent social learning and conformity shape a wild primate's foraging decisions. Science, 340(6131), 483485.Google Scholar
van Vuuren, D. P., Edmonds, J. A., Kainuma, M., Riahi, K., and Weyant, J. 2011. A special issue on the RCPs. Climatic Change, 109(1–2), 14.Google Scholar
van Vuuren, D. P., van der Wijst, Kaj-Ivar, Marsman, Stijn, van den Berg, Maarten, Hof, Andries F., and Jones, Chris D. 2020. The costs of achieving climate targets and the sources of uncertainty. Nature Climate Change, 10(4), 329334.Google Scholar
Vespignani, Alessandro. 2012. Modelling dynamical processes in complex socio-technical systems. Nature Physics, 8(1), 3239.Google Scholar
Viñuales, Jorge E. 2012. Foreign Investment and the Environment in International Law. Cambridge University Press.Google Scholar
Viñuales, Jorge E. 2015. The Paris climate agreement: An initial examination. C-EENRG Working Papers.Google Scholar
Volterra, Vito. 1939. The general equations of biological strife in the case of historical actions. Proceedings of the Edinburgh Mathematical Society, 6(1), 4.Google Scholar
Walker, Warren E., Harremoës, Poul, Rotmans, Jan, Van Der Sluijs, Jeroen P., Van Asselt, Marjolein B. A., Janssen, Peter, and Krayer von Krauss, Martin P. 2003. Defining uncertainty: A conceptual basis for uncertainty management in model-based decision support. Integrated Assessment, 4(1), 517.Google Scholar
Walras, Léon. 1956. Elements of Pure Economics. Routledge. Translated by W. Jaffé from original 19th century French version.Google Scholar
Warren, R., Watkiss, P., Wilby, R.L., Humphrey, K., Ranger, N., Betts, R., Lowe, J., and Watts, G. 2017. UK Climate Change Risk Assessment Evidence Report: Chapter 2, Approach and Context. Tech. rept. Report prepared for the Adaptation Sub-Committee of the Committee on Climate Change.Google Scholar
Watkins, Nicholas W., Pruessner, Gunnar, Chapman, Sandra C., Crosby, Norma B., and Jensen, Henrik J. 2016. 25 years of self-organized criticality: Concepts and controversies. Space Science Reviews, 198(1–4), 344.Google Scholar
Way, Rupert, Lafond, François, Lillo, Fabrizio, Panchenko, Valentyn, and Farmer, J. Doyne. 2019. Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves. Journal of Economic Dynamics and Control.Google Scholar
Webb, Colin, Dernis, Hélène, Harhoff, Dietmar, and Hoisl, Karin. 2005. Analysing European and International Patent Citations. Tech. rept. OECD.Google Scholar
Wei, Max, Patadia, Shana, and Kammen, Daniel M. 2010. Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US? Energy Policy, 38(2), 919931.Google Scholar
Weiss, Martin, Junginger, Martin, Patel, Martin K., and Blok, Kornelis. 2010. A review of experience curve analyses for energy demand technologies. Technological Forecasting and Social Change, 77(3), 411428.Google Scholar
Weitz, Nina, Strambo, Claudia, Kemp-Benedict, Eric, and Nilsson, Måns. 2017. Closing the governance gaps in the water-energy-food nexus: Insights from integrative governance. Global Environmental Change, 45, 165173.Google Scholar
Weitzman, Martin L. 2009. On modeling and interpreting the economics of catastrophic climate change. The Review of Economics and Statistics, 91(1), 119.Google Scholar
Weitzman, Martin L. 2017. On a world climate assembly and the social cost of carbon. Economica, 84(336), 559586.Google Scholar
Werner, Richard A. 2014. Can banks individually create money out of nothing? The theories and the empirical evidence. International Review of Financial Analysis, 36, 119.Google Scholar
Werner, Richard A. 2016. A lost century in economics: Three theories of banking and the conclusive evidence. International Review of Financial Analysis, 46, 361379.Google Scholar
Wheeler, Tim, and Von Braun, Joachim. 2013. Climate change impacts on global food security. Science, 341(6145), 508513.Google Scholar
White House. 2021. FACT SHEET: President Biden Sets 2030 Greenhouse Gas Pollution Reduction Target Aimed at Creating Good-Paying Union Jobs and Securing U.S. Leadership on Clean Energy Technologies. www.whitehouse.gov/briefing-room/statements-re0000000000000leases/2021/04/22/fact-sheet-president-biden-sets-2030-greenhouse-gas-pollution-reduction-target-aimed-at-creating-good-paying-union-jobs-and-securing-u-s-leadership-on-clean-energy-technologies/.Google Scholar
Wilk, Richard R., and Cliggett, Lisa C. 2007. Economies and Cultures: Foundations of Economic Anthropology. Westview press.Google Scholar
Wilkinson, John, and Herrera, Selena. 2010. Biofuels in Brazil: Debates and impacts. The Journal of Peasant Studies, 37(4), 749768.Google Scholar
Wilson, C., Grubler, A., Bauer, N., Krey, V., and Riahi, K. 2013. Future capacity growth of energy technologies: Are scenarios consistent with historical evidence? Climatic Change, 118(2), 381395.Google Scholar
Wilson, Charlie, Grubler, Arnulf, Bento, Nuno, Healey, Stephen, De Stercke, Simon, and Zimm, Caroline. 2020. Granular technologies to accelerate decarbonization. Science, 368(6486), 3639.Google Scholar
Wray, L. Randall. 2016. Modern Money Theory: A Primer on Macroeconomics for Sovereign Monetary Systems. Palgrave-Macmillan.Google Scholar
Wright, Theodore P. 1936. Factors affecting the cost of airplanes. Journal of the Aeronautical Sciences, 3(4), 122128.Google Scholar
Yamasaki, Kazuko, Muchnik, Lev, Havlin, Shlomo, Bunde, Armin, and Stanley, H. Eugene. 2005. Scaling and memory in volatility return intervals in financial markets. Proceedings of the National Academy of Sciences of the United States of America, 102(26), 94249428.Google Scholar
Young, H. P. 2001. Individual Strategy and Social Structure: An Evolutionary Theory of Institutions. Princeton University Press.Google Scholar
Young, H. P. 2009. Innovation diffusion in heterogeneous populations: Contagion, social influence, and social learning. The American Economic Review, 99(5), 18991924.Google Scholar
Yu, Hyun Jin Julie, Popiolek, Nathalie, and Geoffron, Patrice. 2016. Solar photovoltaic energy policy and globalization: A multiperspective approach with case studies of Germany, Japan, and China. Progress in Photovoltaics: Research and Applications.Google Scholar
Zemp, Delphine Clara, Schleussner, Carl-Friedrich, Barbosa, Henrique M. J., Hirota, Marina, Montade, Vincent, Sampaio, Gilvan, Staal, Arie, Wang-Erlandsson, Lan, and Rammig, Anja. 2017. Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks. Nature Communications, 8(1), 110.Google Scholar
Zenghelis, Dimitri, Fouquet, Roger, and Hippe, Ralph. 2018. Stranded assets: Then and now. In: Stranded Assets and the Environment: Risk, Resilience and Opportunity. Routledge.Google Scholar
Ziegler, Micah S., and Trancik, Jessika E. 2021. Re-examining rates of lithiumion battery technology improvement and cost decline. Energy & Environmental Science, 14(4), 16351651.Google Scholar

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  • References
  • Jean-François Mercure, The World Bank
  • Book: Complexity Economics for Environmental Governance
  • Online publication: 03 November 2022
  • Chapter DOI: https://doi.org/10.1017/9781108553650.022
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  • References
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  • Book: Complexity Economics for Environmental Governance
  • Online publication: 03 November 2022
  • Chapter DOI: https://doi.org/10.1017/9781108553650.022
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