Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-27T14:58:51.793Z Has data issue: false hasContentIssue false

15 - Additional Topics

Published online by Cambridge University Press:  06 January 2022

Ronald E. Miller  and
Peter D. Blair
Ronald E. Miller
Affiliation:
University of Pennsylvania
Peter D. Blair
Affiliation:
George Mason University
Get access

Summary

Chapter 15 briefly describes some additional extensions to input–output analysis for which space does not permit a detailed treatment in this text, including measuring total factor productivity, modeling economic impacts of disasters, the inoperatbility input–output model, accounting for alternative technologies, and linkages to econometric or computable general equilibrium models.

Keywords

computable general equilibrium modelseconometric modelstotal factor productivitydisaster impactsinoperability input–output modelalternative technology modelsfundamental economic structurevariable input–output modelqualitative input–output analysisgraph theory
Type
Chapter
Information
Input-Output Analysis
Foundations and Extensions
 , pp. 722 - 750
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aulin-Ahmavaara, Pirkko. 1999. “Effective Rates of Sectoral Productivity Change,” Economic Systems Research, 11, 349–363.CrossRefGoogle Scholar
Baumol, William J. and Wolff, Edward N.. 1984. “On Interindustry Differences in Absolute Productivity,” Journal of Political Economy, 92, 1017–1034.Google Scholar
Economic Systems Research. 2007. Vol. 19, No. 3. Special Issue: “New Developments in Productivity Analysis within an Input–Output Framework.” Guest Editors: Timmer, Marcel P. and Aulin-Ahmavaara, Pirkko.Google Scholar
Jorgenson, Dale W. and Griliches, Zvi. 1967. “The Explanation of Productivity Change,” Review of Economic Studies, 34, 249–283.CrossRefGoogle Scholar
Peterson, William. 1979. “Total Factor Productivity in the UK: A Disaggregated Analysis,” in Patterson, K. D. and Schott, K. (eds), The Measurement of Capital: Theory and Practice. London: Macmillan, pp. 212–225.Google Scholar
ten Raa, Thijs. 2005. The Economics of Input–Output Analysis. Cambridge: Cambridge University Press.Google Scholar
ten Raa, Thijs. 2017. “Multipliers, Factor Contents, and Productivity,” in ten Raa, Thijs (ed.), Handbook of Input–Output Analysis. Cheltenham, UK: Edward Elgar, pp. 223–244.Google Scholar
Wolff, Edward N. 1985. “Industrial Composition, Interindustry Effects, and the U.S. Productivity Slowdown,” Review of Economics and Statistics, 67, 268–277.Google Scholar
Wolff, Edward N. 1994. “Productivity Measurement within an Input–Output Framework,” Regional Science and Urban Economics, 24, 75–92.Google Scholar
Wolff, Edward N. 1997. “Spillovers, Linkages and Technical Change,” Economic Systems Research, 9, 9–23.Google Scholar
Anderson, Christopher W., Santos, Joost R. and Haimes, Yacov Y.. 2007. “A Risk-based Input–Output Methodology for Measuring the Effects of the August 2003 Northeast Blackout,” Economic Systems Research, 19, 183–204.CrossRefGoogle Scholar
Avelino, Andre F. T. and Dall’erba, Sandy. 2019. “Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA),” Risk Analysis, 39, 85–104.Google Scholar
Bouwmeester, Maaike C. and Oosterhaven, Jan. 2017. “Economic Impacts of Natural Gas Flow Disruptions Between Russia and the EU,” Energy Policy, 106, 288–297.CrossRefGoogle Scholar
Dietzenbacher, Erik. 1997. “In Vindication of the Ghosh Model: A Reinterpretation as a Price Model,” Journal of Regional Science, 37, 629–655.Google Scholar
Dietzenbacher, Erik and Miller, Ronald E.. 2015. “Reflections on the Inoperability Input–Output Model,” Economic Systems Research, 27, 478–486.CrossRefGoogle Scholar
Economic Systems Research. 2007. Vol. 19, No. 2. Special Issue: “Economic Modeling for Disaster Impact Analysis.” Guest Editor: Okuyama, Yasuhide.CrossRefGoogle Scholar
Economic Systems Research. 2014. Vol. 26, No. 1. Special Issue: “Disaster Impacts and Input–Output Analysis.” Guest Editors: Okuyama, Yasuhide and Santos, Joost.Google Scholar
El Meligi, Andrea Karim, Ciaschini, Maurizio, Khan, Yousaf Ali, Pretaroll, Rosita, Severini, Francesca and Socci, Claudio. 2019. “The Inoperability Extended Multisectoral Model and the Role of Income Distribution: A U.K. Case Study,” The Review of Income and Wealth, 65, 617–631.Google Scholar
Galbusera, Luca and Giannopoulos, Georgios. 2018. “On Input–Output Economic Models in Disaster Impact Assessment,” International Journal of Disaster Risk Reduction, 30, 186–198.Google Scholar
Gray, S. Lee, McKean, John R., Sparling, Edward W. and Weber, Joseph C.. 1979. “Measurement of Growth Equalized Employment Multiplier Effects: An Empirical Example,” Annals of Regional Science, 13, 68–75.CrossRefGoogle Scholar
Haimes, Yacov Y. and Jiang, P.. 2001. “Leontief-based Model of Risk in Complex Interconnected Infrastructures,” Journal of Infrastructure Systems, 7, 23–27.CrossRefGoogle Scholar
Jones, Barclay G. (ed.). 1995. Economic Consequences of Earthquakes: Preparing for the Unexpected. Buffalo: National Center for Earthquake Engineering Research.Google Scholar
Koks, Elco E. and Thissen, Mark. 2016. “A Multiregional Impact Assessment Model for Disaster Analysis,” Economic Systems Research, 28, 429–449.Google Scholar
Koks, Elco E., Pant, Raghav, Husby, Trond, Többen, Johannes and Oosterhaven, Jan. 2019. “Multiregional Disaster Impact Models: Recent Advances and Comparison of Outcomes,” in Okuyama, Yasuhide and Rose, Adam (eds.), Advances in Spatial and Economic Modeling of Disaster Impacts. Cham: Springer International, pp. 191–218.Google Scholar
Mattas, Konstadinos A. and Shrestha, Chandra M.. 1991. “A New Approach to Determining Sectoral Priorities in an Economy: Input–Output Elasticities,” Applied Economics, 23, 247–254.Google Scholar
Okuyama, Yasuhide. 2004. “Modeling Spatial Economic Impacts of an Earthquake: Input–Output Approaches,” Disaster Prevention and Management,” 13, 297–306.Google Scholar
Okuyama, Yasuhide. 2007. “Economic Modeling for Disaster Impact Analysis: Past, Present, and Future,” Economic Systems Research, 26, 115–124.CrossRefGoogle Scholar
Okuyama, Yasuhide and Chang, Stephanie (eds.). 2004. Modeling Spatial and Economic Impacts of Disasters. Berlin: Springer-Verlag.CrossRefGoogle Scholar
Okuyama, Yasuhide and Rose, Adam (eds.). 2019. Advances in Spatial and Economic Modeling of Disaster Impacts. Cham: Springer International.Google Scholar
Okuyama, Yasuhide and Santos, Joost R.. 2014. “Disaster Impact and Input–Output Analysis,” Economic Systems Research, 26, 1–12.CrossRefGoogle Scholar
Okuyama, Yasuhide and Krista, Yu. 2019. “Return of the Inoperability,” Economic Systems Research, 31, 468–480.Google Scholar
Oosterhaven, Jan. 2017. “On the Limited Usability of the Inoperability IO Model,” Economic Systems Research, 29, 452–461.Google Scholar
Oosterhaven, Jan and Bouwmeester, Maaike C.. 2016. “A New Approach to Modelling the Impact of Disruptive Events,” Journal of Regional Science, 56, 583–595.CrossRefGoogle Scholar
Richardson, Harry W., Gordon, Peter and Moore, James E. II. 2005. The Economic Impacts of Terrorist Attacks. Cheltenham, UK: Edward Elgar.Google Scholar
Richardson, Harry W., Gordon, Peter and Moore, James E. 2007. The Economic Costs and Consequences of Terrorism. Cheltenham, UK: Edward Elgar.Google Scholar
Richardson, Harry W., Pan, Qisheng, Park, JiYoung and Moore, James E. II. 2015. Regional Economic Impacts of Terrorist Attacks, Natural Disasters and Metropolitan Policies. Cham, Switzerland: Springer Verlag.Google Scholar
Romanoff, Eliahu and Levine, Stephen H.. 1977. “Interregional Sequential Interindustry Modeling: A Preliminary Analysis of Regional Growth and Decline in a Two Region Case,” Northeast Regional Science Review, 7, 87–101.Google Scholar
Rose, Adam. 1977. “A Simulation Model for the Economic Assessment of Alternative Air Pollution Regulations,” Journal of Regional Science, 17, 327–344.Google Scholar
Rose, Adam and Wei, Dan. 2013. “Estimating the Economic Consequences of a Port Shutdown: The Special Role of Resilience,” Economic Systems Research, 25, 212–232.Google Scholar
Santos, Joost R. and Haimes, Yacov Y.. 2004. “Modeling the Demand Reduction Input–Output [I–O] Inoperability Due to Terrorism of Connected Infrastructures,” Risk Analysis, 24, 1437–1451.CrossRefGoogle Scholar
Santos, Joost R., Barker, Kash and Zelinke, Paul J. IV. 2008. “Sequential Decision-making in Interdependent Sectors with Multiobjective Inoperability Decision Trees,” Economic Systems Research, 20, 29–56.Google Scholar
Santos, Joost R., Yu, Krista Danielle S., Pagsuyoin, Sheree Ann T. and Tan, Raymond R.. 2014. “Time-Varying Disaster Recovery Model for Interdependent Economic Systems Using Hybrid Input–Output Event Tree Analysis,” Economic Systems Research, 26, 60–80.CrossRefGoogle Scholar
Schaffer, William A. 1980. “The Role of Input–Output Models in Regional Impact Analysis,” in Pleeter, Saul (ed.), Economic Impact Analysis: Methodology and Applications. The Hague: Martinus Nijhoff, pp. 156–167.Google Scholar
Carter, Anne P. 1970. Structural Change in the American Economy. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Dorfman, Robert, Samuelson, Paul A. and Solow, Robert M.. 1958. Linear Programming and Economic Analysis. New York: McGraw-Hill.Google Scholar
Duchin, Faye. 2005. “A World Trade Model Based on Comparative Advantage with m Regions, n Goods, and k Factors,” Economic Systems Research, 17, 141–162.Google Scholar
Duchin, Faye and Levine, Stephen H.. 2011. “Sectors May Use Multiple Technologies Simultaneously: The Rectangular Choice-of-Technology Model with Binding Factor Constraints,” Economic Systems Research, 23, 281–302.CrossRefGoogle Scholar
Duchin, Faye and Levine, Stephen H.. 2012. “The Rectangular Sector-by-Technology Model: Not Every Economy Produces Every Product and Some Products May Rely on Several Technologies Simultaneously,” Journal of Economic Structures, 1, 1–11.CrossRefGoogle Scholar
Duchin, Faye and Levine, Stephen H.. 2015. “Combining Multiregional Input–Output Analysis with a World Trade Model for Evaluating Scenarios for Sustainable Use of Global Resources, Part II,” Journal of Industrial Ecology, 20, 783–791.Google Scholar
Duchin, Faye and Levine, Stephen H.. 2017. “Choosing among Alternative Technologies: Conditions for Assuring the Feasibility of an Input–Output Database or Scenario,” Economic Systems Research, 29, 541–556.Google Scholar
Duchin, Faye, Levine, Stephen H. and Strømman, Anders Hammer. 2016. “Combining Multiregional Input–Output Analysis with a World Trade Model for Evaluating Scenarios for Sustainable Use of Global Resources, Part I,” Journal of Industrial Ecology, 20, 775–782.Google Scholar
ten Raa, Thijs. 1995. Linear Analysis of Competitive Economies. Hertfordshire, UK: Harvester Wheatsheaf.Google Scholar
ten Raa, Thijs. 2005. The Economics of Input–Output Analysis. Cambridge: Cambridge University Press.Google Scholar
Steenge, Albert E., Bouwmeester, Maaike C. and Carrascal Incera, André. 2019. “Rents, Resources, and Multiple Technologies; Ricardian Mechanisms in Input–Output Modelling,” Economic Systems Research, 31, 445–466.Google Scholar
Aroche-Reyes, Fidel. 1996. “Important Coefficients and Structural Change: A Multilayer Approach,” Economic Systems Research, 8, 235–246.Google Scholar
Aroche-Reyes, Fidel. 2001. “The Question of Identifying Industrial Complexes Revisited: A Qualitative Perspective,” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 280–296.Google Scholar
Aroche-Reyes, Fidel. 2002. “Structural Transformations and Important Coefficients in the North American Economies,” Economic Systems Research, 14, 257–273.Google Scholar
Bon, Ranko. 1989. “Qualitative Input–Output Analysis,” in Miller, Ronald E., Polenske, Karen R. and Rose, Adam Z. (eds.), Frontiers of Input–Output Analysis. New York: Oxford University Press, pp. 221–231.Google Scholar
Campbell, John. 1972. “Growth Pole Theory, Digraph Analysis and Interindustry Relationships,” Tijdschrift voor Economische en Sociale Geografie, 63, 79–87.Google Scholar
Campbell, John. 1974. “Selected Aspects of the Interindustry Structure of the State of Washington, 1967,” Economic Geography, 50, 35–46.Google Scholar
Campbell, John. 1975. “Application of Graph Theoretic Analysis to Interindustry Relationships. The Example of Washington State,” Regional Science and Urban Economics, 5, 91–106.CrossRefGoogle Scholar
Holub, H. W. and Schnabl, Hermann. 1985. “Qualitative Input–Output Analysis and Structural Information,” Economic Modeling, 2, 67–73.Google Scholar
Lahr, Michael L. and Dietzenbacher, Erik (eds.) 2001. Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave.Google Scholar
Lantner, Roland. 2001. “Influence Graph Theory Applied to Structural Analysis,” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 297–317.Google Scholar
Lantner, Roland and Carluer, Frederic. 2004. “Spatial Dominance: A New Approach to the Estimation of Interconnectedness in Regional Input–Output Tables,” Annals of Regional Science, 38, 451–467.CrossRefGoogle Scholar
de Mesnard, Louis. 1995. “A Note on Qualitative Input–Output Analysis,” Economic Systems Research, 7, 439–445.Google Scholar
de Mesnard, Louis. 2001. “On Boolean Topological Methods of Structural Analysis,” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 268–279.Google Scholar
Schnabl, Hermann. 1994. “The Evolution of Production Structures, Analyzed by a Multi-layered Procedure,” Economic Systems Research, 6, 51–68.Google Scholar
Schnabl, Hermann. 2001. “Structural Development of Germany, Japan and the USA, 1980–90: A Qualitative Analysis Using Minimal Flow Analysis (MFA),” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 245–267.Google Scholar
Solow, Robert. 1952. “On the Structure of Linear Models,” Econometrica, 20, 29–46.Google Scholar
Sonis, Michael, Hewings, Geoffrey J. D. and Lee, Jong Kun. 1994. “Interpreting Spatial Economic Structure and Spatial Multipliers: Three Perspectives,” Geographical Analysis, 26, 124–151.Google Scholar
Strassert, Günter G. 2001. “Interindustry Linkages: The Flow Network of a Physical Input–Output Table (PIOT): Theory and Application for Germany,” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 35–53.Google Scholar
Jensen, Rodney C. West, Guy R. and Hewings, Geoffrey J. D.. 1988. “The Study of Regional Economic Structure Using Input–Output Tables,” Regional Studies, 22, 209–220.Google Scholar
Jensen, Rodney C. Dewhurst, John H. LI., West, Guy R. and Hewings, Geoffrey J. D.. 1991. “On the Concept of Fundamental Economic Structure,” in Dewhurst, John H. LI., Hewings, Geoffrey J. D. and Jensen, Rodney C. (eds.), Regional Input–Output Modelling. New Developments and Interpretations. Aldershot, UK: Avebury, pp. 228–249.Google Scholar
West, Guy R. 2001. “Structural Change and Fundamental Economic Structure: The Case of Australia,” in Lahr, Michael L. and Dietzenbacher, Erik (eds.), Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave, pp. 318–337.Google Scholar
Almon, Clopper. 1991. “The INFORUM Approach to Interindustry Modelling,” Economic Systems Research, 3 , 1–7.CrossRefGoogle Scholar
Arrow, Kenneth J. and Debreu, Gerard. 1954. “Existence of an Equilibrium for a Competitive Economy,” Econometrica, 22, 265–290.Google Scholar
Bandara, Jayatilleke S. 1991. “Computable General Equilibrium Models for Development Policy Analysis in LDCs,” Journal of Economic Surveys, 5, 3–69.Google Scholar
Bardazzi, Rossella and Ghezzi, Leonardo. 2018. “A Multi-Scale System of Macroeconometric Models: the Inforum Approach,” Studies on Russian Economic Development, 29, 598–560.Google Scholar
Capello, Roberta. 2007. “A Forecasting Territorial Model of Regional Growth: The MASST Model,” The Annals of Regional Science, 41, 753–787.Google Scholar
Cassel, Gustav. 1924. Theory of Social Economy. New York: Harcourt, Brace and Co.Google Scholar
Christiansen, Laurits R., Jorgenson, Dale W. and Lau, Lawrence J.. 1971. “Conjugate Duality and the Transcendental Logarithmic Utility Function,” Econometrica, 39(4), 255–256.Google Scholar
Conway, Richard S. Jr. 1990. “The Washington Projection and Simulation Model: A Regional Interindustry Econometric Model,” International Regional Science Review, 13, 167–181.Google Scholar
Donaghy, Kieran P., Balta-Ozkan, Nazmiye and Hewings, Geoffrey J. D.. 2007. “Modeling Unexpected Events in Temporally Disaggregated Econometric Input –Output Models of Regional Economies,” Economic Systems Research, 19, 125–145.CrossRefGoogle Scholar
Dorfman, Robert, Samuelson, Paul A. and Solow, Robert M.. 1958. Linear Programming and Economic Analysis. New York: McGraw-Hill.Google Scholar
Giesecke, James A. and Madden, John R.. 2013. “Regional Computable General Equilibrium Modeling,” in Dixon, Peter B. and Jorgenson, Dale W. (eds.), Handbook of Computable General Equilibrium Modelling. Amsterdam: Elsevier, chapter 7, pp. 379–475.CrossRefGoogle Scholar
Haddad, Eduardo A., Hewings, Geoffrey J. D. and Peter, Matthew. 2002. “Input–Output Systems in Regional and Interregional CGE Modeling,” in Hewings, Geoffrey J. D., Sonis, Michael and Boyce, David (eds.), Trade, Networks and Hierarchies. Modeling Regional and Interregional Economies. Heidelberg: Springer, pp. 407–431.Google Scholar
Hudson, Edward A. and Jorgenson, Dale W.. 1974. “U.S. Energy Policy and Economic Growth, 1975–2000,” Bell Journal of Economics and Management Science, 5, 461–514.Google Scholar
Intriligator, Michael D. 1971. Mathematical Optimization and Economic Theory. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Johansen, Leif. 1960. A Multi-sectoral Study of Economic Growth. Amsterdam: North-Holland Publishing Company.Google Scholar
Jorgenson, Dale W. 1982. “An Econometric Approach to General Equilibrium Analysis,” in Hazewinkel, M. and Rinnoy Kan, A. H. G. (eds.), Current Developments in the Interface: Economics, Econometrics, Mathematics. Boston, MA: Reidel, pp. 125–157.Google Scholar
Jorgenson, Dale W. 1983. Transcendental Logarithmic Production Functions. Amsterdam: North-Holland.Google Scholar
Jorgenson, Dale W. 1984. “Econometric Methods for Applied General Equilibrium Analysis,” in Scarf, Herbert E. and Shoven, John B. (eds.), Applied General Equilibrium Analysis. Cambridge: Cambridge University Press, pp. 139–203.Google Scholar
Jorgenson, Dale W. 2002. Economic Growth in the Information Age. Cambridge, MA: MIT Press.Google Scholar
Jorgenson, Dale W. and Wilcoxen, Peter J.. 1993. “Reducing U.S. Carbon Dioxide Emissions: An Econometric General Equilibrium Assessment,” Resource and Energy Economics, 15, 7–26.Google Scholar
Klein, Lawrence R. 1999. “A Century in Retrospect: Project LINK,” United Nations Chronicle, 36, 73–75.Google Scholar
Kratena, Kurt and Temursho, Umed. 2017. “Dynamic Econometric Input–Output Modeling: New Perspectives,” in Jackson, Randall and Schaeffer, Peter (eds.), Regional Research Frontiers-Volume 2. Cham, Switzerland: Springer International Publishing, pp. 3–21.Google Scholar
Kuenne, Robert E. 1963. The Theory of General Economic Equilibrium. Princeton, NJ: Princeton University Press.Google Scholar
Lahiri, Sajal. 1976. “Input–Output Analysis with Scale-Dependent Coefficients,” Econometrica, 44, 947–961.CrossRefGoogle Scholar
Lawrence, Michael F., Wei, Dan, Rose, Adam, Williamson, Scott and Cartwright-Smith, Devon. 2017. “Macroeconomic Impacts of Proposed Climate Change Mitigation Strategies for Transportation in Southern California,” Research in Transportation Economics, 61, 56–69.CrossRefGoogle Scholar
Leontief, Wassily. 1951. The Structure of American Economy 1919–1939. New York: Oxford University Press.Google Scholar
Liew, Chong K. 1980. “The Impact of Higher Energy Prices on Growth and Inflation in an Industrializing Economy: The Korean Experience,” Journal of Policy Modeling, 2, 389–408.Google Scholar
Liew, Chong K. and Liew, Chung J.. 1984a. “Measuring the Development Impact of a Proposed Transportation System,” Regional Science and Urban Economics, 14 , 175–198.Google Scholar
Liew, Chong K. and Liew, Chung J.. 1984b. “Multi-Model, Multi-Output, Multiregional Variable Input–Output Model,” Regional Science and Urban Economics, 14, 265–281.Google Scholar
Liew, Chung J. 1984. “Pollution-Related Variable Input–Output Model: The Tulsa SMSA as a Case Study,” Journal of Urban Economics, 15, 327–349.Google Scholar
Liew, Chung J. 2000. “The Dynamic Variable Input–Output Model: An Advancement from the Leontief Dynamic Input–Output Model,” Annals of Regional Science, 34, 591–614.CrossRefGoogle Scholar
Liew, Chung J. and Liew, Chong K.. 1988. “A Comparative Study of Household Interactive Variable Input–Output (HIVIO) Model and the Conventional Input–Output Models,” Journal of Urban Economics, 24, 64–84.CrossRefGoogle Scholar
Madden, John. 2018. “Fiscal Accounts in Regional CGE Modeling,” in Wittwer, Glyn (ed.), Advances in Applied General Equilibrium Modeling, Cham, Switzerland: Springer International Publishing, chapter 8, pp. 135–149.Google Scholar
Miess, Michael and Schmelzer, Stefan. 2012. “Modelling Mobility in the IHS Hybrid CGE Model: Some Points about Possibilities to Depict Mobility in the HIS CGE model,” Vienna, Austria: Institute for Advanced Studies, Vienna, November 22, 2012.Google Scholar
Pareto, Vilfredo. 1906. Manual of Political Economy. Translated by Ann S. Schwier. Edited by Schwier, Ann S. and Page, Alfred N.. 1971. New York: A. M. Kelley.Google Scholar
Partridge, Mark D. and Rickman, Dan S.. 1998. “Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal,” International Regional Science Review, 21, 205–248.Google Scholar
Partridge, Mark D. and Rickman, Dan S.. 2010. “Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis,” Regional Studies, 44, 1311–1328.Google Scholar
Rey, Sergio J. and Jackson, Randall W.. 1999. “Labor-Productivity Changes in Regional Econometric + Input–Output Models,” Environment and Planning A, 31, 1583–1599.CrossRefGoogle Scholar
Treyz, George I. 1993. Regional Economic Modeling: A Systematic Approach to Economic Forecasting and Policy Analysis, Cham, Switzerland: Springer International.Google Scholar
Treyz, George I., Rickman, Dan S. and Shao, Gang. 1991. “The REMI Economic-Demographic Forecasting and Simulation Model,” International Regional Science Review, 14, 221–253.Google Scholar
Turner, Karen, Gilmartin, Michelle, McGregor, Peter G. and Swales, J. Kim. 2012. “An Integrated IO and CGE Approach to Analysing Changes in Environmental Trade Balances,” Papers in Regional Science, 91, 161–177.CrossRefGoogle Scholar
Walras, Leon. 1874. Elements of Pure Economics. Paris: Guillaumin & Cie. English translation by William Jaffé. London: George Allen & Unwin, 1954.Google Scholar
West, Guy R. 1995. “Comparison of Input–Output, Input–Output/Econometric and Computable General Equilibrium Models at the Regional Level,” Economic Systems Research, 7, 209–227.CrossRefGoogle Scholar
West, Guy R. 2002. “Modeling Structural Linkages in Dynamic and Spatial Interindustry Systems,” in Hewings, Geoffrey J. D., Sonis, Michael and Boyce, David (eds.), Trade, Networks and Hierarchies. Modeling Regional and Interregional Economies. Heidelberg: Springer, pp. 225–250.Google Scholar
Wittwer, Glyn. 2018. “Tourism and Transport in a CGE Model and an Illustrative Application,” in Wittwer, Glyn (ed.), Advances in Applied General Equilibrium Modeling. Cham, Switzerland: Springer International, chapter 6, pp. 99–112.Google Scholar
Xu, Xingbai and Lee, Lung-fei. 2019. “Theoretical Foundations for Spatial Econometric Research,” Regional Science and Urban Economics, 76, 2–12.CrossRefGoogle Scholar
Ciaschini, Maurizio (ed.). 1988. Input–Output Analysis: Current Developments. London: Chapman and Hall.Google Scholar
Harrigan, Frank and McGregor, Peter G. (eds.). 1988. Recent Advances in Regional Economic Modelling. London: Pion.Google Scholar
Miller, Ronald E., Polenske, Karen R. and Rose, Adam Z. (eds.). 1989. Frontiers of Input–Output Analysis. New York: Oxford University Press.Google Scholar
Anselin, Luc and Madden, Moss (eds.). 1990. New Directions in Regional Analysis: Integrated and Multiregional Approaches. London: Pinter.Google Scholar
Dewhurst, John H. LI., Hewings, Geoffrey J. D. and Jensen, Rodney C. (eds.). 1991. Regional Input–Output Modelling. New Developments and Interpretations. Avebury: Aldershot.Google Scholar
Peterson, William (ed.). 1991. Advances in Input–Output Analysis. New York: Oxford University Press.Google Scholar
Hewings, Geoffrey J. D., Sonis, Michael, Madden, Moss and Kimura, Yoshio (eds.). 1999. Understanding and Interpreting Economic Structure. Berlin: Springer.Google Scholar
Lahr, Michael L. and Dietzenbacher, Erik (eds.). 2001. Input–Output Analysis: Frontiers and Extensions. Basingstoke, UK: Palgrave.Google Scholar
Lahr, Michael L. and Miller, Ronald E. (eds.). 2001. Regional Science Perspectives in Economic Analysis. A Festschrift in Memory of Benjamin H. Stevens. Amsterdam: North-Holland.Google Scholar
Hewings, Geoffrey J. D., Sonis, Michael and Boyce, David (eds.). 2002. Trade, Networks and Hierarchies. Modeling Regional and Interregional Economies. Heidelberg: Springer.Google Scholar
Dietzenbacher, Erik and Lahr, Michael L. (eds.). 2004. Wassily Leontief and Input–Output Economics. Cambridge: Cambridge University Press.Google Scholar
Murray, Joy and Wood, Richard (eds.). 2010. The Sustainability Practitioner’s Guide to Input–Output Analysis. Champaign, IL: Common Ground Publishing.Google Scholar
Suh, Sangwon (ed.). 2010. Handbook of Input–Output Economics in Industrial Ecology. New York: Springer.Google Scholar
ten Raa, Thijs (ed.). 2017. Handbook of Input–Output Analysis. Northampton, MA: Edward Elgar Publishing.Google Scholar
Dejuán, Óscar, Lenzen, Manfred, and Cadarso, María‐Ángeles. (eds.). 2018. Environmental and Economic Impacts of Decarbonization: Input–Output Studies on the Consequences of the 2015 Paris Agreement. London: Routledge.Google Scholar
Mahajan, Sanjiv (ed.). 2018. Handbook on Supply, Use and Input–Output Tables with Extensions and Applications. New York: United Nations.Google Scholar
Fraumeni, Barbara (ed.). 2020. Measuring Economic Growth and Productivity. Cambridge, MA: Academic Press.Google Scholar
Sohn, Ira (ed.). 1986. Readings in Input–Output Analysis. New York: Oxford University Press.Google Scholar
Kurz, Heinz D., Dietzenbacher, Erik and Lager, Christian (eds.). 1998. Input–Output Analysis. Three volumes. (International Library of Critical Writings in Economics, Vol. 92.) Cheltenham, UK: Edward Elgar Publishing.Google Scholar
Dietzenbacher, Erik, Lahr, Michael L. and Lenzen, Manfred (eds.). 2020. Recent Developments in Input–Output Analysis. Two volumes. (International Library of Critical Writings in Economics, Vol. 373.) Cheltenham, UK: Edward Elgar Publishing.Google Scholar
Bullard, Clark and Herendeen, Robert. 1975. “The Energy Costs of Goods and Services,” Energy Policy, 1, 268–277.Google Scholar
Carter, Anne P. 1970. Structural Change in the American Economy. Cambridge, MA: Harvard University Press.Google Scholar
Dorfman, Robert, Samuelson, Paul A. and Solow, Robert M.. 1958. Linear Programming and Economic Analysis. New York: McGraw-Hill.Google Scholar
Folk, Hugh and Hannon, Bruce. 1974. “An Energy, Pollution, and Employment Policy Model,” in Macrakis, Michael (ed.), Energy: Demand Conservation and Institutional Problems. Cambridge, MA: MIT Press, pp. 159–173.Google Scholar
Isard, Walter, Bramhall, David F., Carrothers, Gerald A. P., Cumberland, John H., Moses, Leon N., Price, Daniel O. and Schooler, Eugene W.. 1960. Methods of Regional Analysis: An Introduction to Regional Science. Cambridge, MA: The MIT Press.Google Scholar
Jorgenson, Dale W. 1982. “An Econometric Approach to General Equilibrium Analysis,” in Hazewinkel, M. and Rinnoy Kan, A. H. G. (eds.), Current Developments in the Interface: Economics, Econometrics, Mathematics. Boston: D. Reidel Publishing Company, pp. 125–157.Google Scholar
Lenzen, Manfred, Pade, Lise-Lotte and Munksgaard, Jesper. 2004. “CO2 Multipliers in Multi-Region Input–Output Models,” Economic Systems Research, 16, 391–412.Google Scholar
Leontief, Wassily. 1970a. “Environmental Repercussions and the Economic Structure: An Input–Output Approach,” Review of Economics and Statistics, 52, 262–271.Google Scholar
Leontief, Wassily. 1970b. “The Dynamic Inverse,” in Carter, Anne P. and Bródy, Andrew (eds.), Contributions to Input–Output Analysis. Vol. 1 of Proceedings of the Fourth International Conference on Input–Output Techniques. Geneva, 1968. Amsterdam: North-Holland, pp. 17–43.Google Scholar
Polenske, Karen R. 1980. The U.S. Multiregional Input–Output Accounts and Model. Lexington, MA: D.C. Heath and Company.Google Scholar
Pyatt, Graham and Round, Jeffrey I. (eds.). 1985. Social Accounting Matrices: A Basis for Planning. Washington, DC: The World Bank.Google Scholar
Stone, Richard. 1947. “Definition and Measurement of the National Income and Related Totals,” in United Nations, Measurement of National Income and the Construction of Social Accounts. New York: United Nations, appendix.Google Scholar
Stone, Richard. 1961. Input–Output and National Accounts. Paris: Organization for European Economic Cooperation.Google Scholar
Stone, Richard and Brown, Alan. 1962. A Computable Model of Economic Growth. London: Chapman and Hall.Google Scholar
Wiedmann, Thomas. 2009. “A Review of Recent Multi-Region Input–Output Models Used for Consumption-Based Emission and Resource Accounting,” Ecological Economics, 69, 211–222.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×