Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-05T10:24:51.223Z Has data issue: false hasContentIssue false

Chapter 7 - SDG 7: Affordable and Clean Energy – How Access to Affordable and Clean Energy Affects Forests and Forest-Based Livelihoods

Published online by Cambridge University Press:  02 December 2019

Pia Katila
Affiliation:
Natural Resources Institute Finland (Luke)
Carol J. Pierce Colfer
Affiliation:
Cornell University, New York and Center for International Forestry Research (CIFOR)
Wil de Jong
Affiliation:
Kyoto University, Japan
Glenn Galloway
Affiliation:
University of Florida
Pablo Pacheco
Affiliation:
World Wildlife Fund (WWF) and Center for International Forestry Research (CIFOR)
Georg Winkel
Affiliation:
European Forest Institute (EFI), Germany

Summary

SDG 7 aims to ensure access to affordable, reliable, sustainable and modern energy for all. Forests contribute to SDG 7 through four pathways: sustainable use of traditional wood fuels, processed wood fuels, liquid biofuels and biopower. We hypothesise that the role of traditional wood fuels (e.g. firewood and charcoal) in household energy portfolios will decline in most low- and middle-income countries, but will not be completely replaced with modern fuels. In the transition to affordable clean fuels, processed wood fuels (e.g. pellets), liquid biofuels produced from forest feedstock, and biopower will play an increasing role in energy service provision. How forest-based transitions to clean energy will fare relative to other renewable energy technologies (including solar, wind and micro-hydro) will depend on how renewable energy policy evolves, and on relative costs and storage capacity. Reaching SDG 7 through the promotion of large-scale hydro and agricultural commodity derived biofuels can threaten forests and forest-based livelihoods. In general, promoting transitions to sustainable forest-based clean energy supports the realisation of other SDGs, highlighting the potential for forests to play a significant role in discourse and action on the SDGs.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC 4.0 https://creativecommons.org/cclicenses/

Key Points

  • The role of traditional woodfuels in energy service provision will decline, though energy stacking that includes traditional woodfuels is likely to persist low- and middle-income countries.

  • The role of processed woodfuels, forest-derived liquid biofuels, and biopower in achieving SDG 7 will depend on relative costs and innovation in storage capacity of renewables including solar, wind and micro-hydro.

  • Transitions to modern fuels (including electricity generated with large-scale hydropower and heavy reliance on agriculture-derived liquid biofuels) threatens forests and forest-based livelihoods.

  • Energy transitions involving decreased reliance on traditional woodfuels and increased use of forest-derived modern fuels (e.g. pellets, biofuel) are generally synergistic with achieving other SDGs.

7.1 Introduction

Throughout the world, forests play a significant role in the supply of energy services. The role of forests in ensuring access to affordable, reliable and sustainable energy for all – the overarching objective for SDG 7 – varies widely. In the developing world, an estimated 3–4 billion people rely on solid fuels, primarily traditional woodfuels (e.g. firewood and charcoal) harvested from natural forests and woodlots, for cooking and heating (WHO 2016). For people in low- and middle-income countries where traditional woodfuels dominate the energy portfolio, reliance on biomass for household energy will decline overall in the coming decades, though the absolute number of traditional woodfuel users in sub-Saharan Africa and South and Southeast Asia will grow (Bonjour et al. Reference Bonjour, Adair-Rohani and Wolf2013). To date, evidence suggests that traditional woodfuel harvesting affects deforestation and forest degradation in only a few hotspot locations (Bailis et al. Reference Bailis, Drigo, Ghilardi and Masera2015). However, rapid urbanisation in Africa and South and Southeast Asia, signalling a potential shift from firewood to charcoal for cooking and heating, raises concerns about the associated impacts on forests in the absence of introduction of clean fuels.

Many middle- and high-income countries are diversifying their domestic energy portfolios. Processed woodfuels and liquid biofuels are an increasingly important component alongside wind, solar, hydro and geothermal energy sources to increase the share of renewable energy in the global energy mix (Ellabban et al. Reference Ellabban, Abu-Rub and Blaabjerg2014). The majority of liquid biofuels are produced from agricultural crops and residues that have negative impacts on forests when they are cleared to establish plantations. Sustainable uses of bioenergy are important pathways to ensure diversified renewable energy service provision and can broaden livelihood strategies in a wide range of settings. However, in the USA and Europe, renewable energy portfolios for electricity and heat increasingly demand industrially produced pellets, raising concerns about sustainability and high costs of transportation when pellets are not locally produced (Hanssen et al. Reference Hanssen, Duden and Junginger2017, Searchinger et al. Reference Searchinger, Beringer and Bjart Holtsmark2018). New and more efficient technologies for producing electricity from biopower have increased attention and interest in South-eastern Europe, Japan and elsewhere (UNESCAP 2017). Notably, strategies to meet SDG 7 indicators that involve large-scale hydro projects, which frequently inundate forests, lead to deforestation and loss of livelihoods.

This chapter provides an analysis of the implications of achieving SDG 7 (Table 7.1) for forests and for people whose livelihoods depend on forests.

Table 7.1 SDG 7 targets for 2030

7.1 Ensure universal access to affordable, reliable and modern energy services
7.2 Increase substantially the share of renewable energy in the global energy mix
7.3 Double the global rate of improvement in energy efficiency
7.4 Enhance international cooperation to facilitate access to clean energy research and technology, including renewable energy, energy efficiency and advanced and cleaner fossil-fuel technology, and promote investment in energy infrastructure and clean energy technology
7.5 Expand infrastructure and upgrade technology for supplying modern and sustainable energy services for all in developing countries, particularly least developed countries, small island developing states and land-locked developing countries, in accordance with their respective programmes of support
Source: Adapted from United Nations 2015

To frame our analysis, we identify four forest energy pathways: (1) sustainable use of traditional woodfuels, (2) processed woodfuels, (3) liquid biofuels and (4) biopower and cogeneration.Footnote 1 We discuss their potential to address SDG 7 as well as their hypothesised effects on forest and forest-based livelihoods in the near to medium term.Footnote 2 We highlight that in the context of energy service provision at the household level, the major role of forest-based energy is for cooking (developing countries) and heating (globally), and that liquid biofuels primarily support transitions in the transportation and industrial sectors. Cogeneration of electricity or biomass gasification using forest products are the main pathways towards addressing electricity access using wood-based fuels. This study fills an important gap, given that most recent peer-reviewed articles about SDG 7 explicitly focus on energy for lighting and do not address energy for heating and cooking despite the fact that these are the main uses of forest-based energy (Baptista and Plananska Reference Baptista and Plananska2017, Mentis et al. Reference Mentis, Howells and Rogner2017, Yang and Yang Reference Yang and Yang2017).

We first review theories related to energy transitions and consider the role that forest-based energy plays in both the energy ladder and energy stacking transitions. We then describe the four forest energy pathways we have identified and their implications for supporting both sustainable forest management and forest-based livelihoods. We connect each pathway to its potential contribution to the energy ladder and stacking transitions and the realisation of SDG 7. We also discuss energy transitions that have a large potential impact on forests and forest-reliant peoples, such as large-scale hydro development, but that do not include forest-derived fuels. We provide several case studies that highlight different ways in which forest products influence SDG 7 and how, in turn, progress towards SDG 7 targets impacts forests and people. The cases examined include a small-scale woodfuel (e.g. pellets) and improved cookstove enterprise in Rwanda, global experience with Jatropha curcas, and heating and electricity biopower from forest products in South-eastern Europe. We discuss palm-derived liquid biofuels as an example of how an energy transition to modern fuels contributes to deforestation and loss of forest-based livelihoods. The cases intentionally highlight the diverse range of impacts forests have on energy provision and the potential ways that meeting SDG 7 could affect forests – for better and for worse. Finally, we consider how the realisation of SDG 7 through forest-based energy pathways will influence other SDGs.

7.2 Energy Ladder and Energy Stacking Theories and SDG 7

Two competing theories posit a relationship between increases in income and energy consumption. The energy ladder theory (Leach and Mearns Reference Leach and Mearns1988) differentiates energy use into traditional (animal dung, crop residues and woodfuels), transitional (kerosene and coal) and modern (liquefied petroleum gas [LPG], electricity and other renewables). Under the energy ladder theory, household energy choice moves from traditional to transitional to modern fuels as incomes increase. Traditional fuels are more polluting and less efficient but cheaper, while modern fuels are more energy efficient and cleaner, but more expensive. Energy ladder transitions are linear and assume that as transitional and modern fuels are adopted traditional fuels are no longer used. A competing theory suggests that households will instead stack fuels and technologies as incomes increase. Energy stacking involves the use of multiple fuels by the same household, taking advantage of the benefits each fuel provides (Gupta and Köhlin Reference Gupta and Köhlin2006, Masera et al. Reference Masera, Saatkamp and Kammen2000, Masera and Navia Reference Masera and Navia1997, Nansaior et al. Reference Nansaior, Patanothai, Rambo and Simaraks2011). Under the energy stacking theory, modern fuel users continue to use traditional and/or transitional fuels irrespective of income level, and assume a gradually partial or full transition to modern fuels, including stacking of multiple fuels and technologies in diverse ways.

An important caveat of both the energy ladder and energy stacking hypotheses is that they place emphasis on household income as the major driver of energy transitions. Indeed, in several studies income is the most important factor in determining fuel choices (Arnold et al. Reference Arnold, Köhlin and Persson2006, Cooke et al. Reference Cooke, Köhlin and Hyde2008, Foster et al. Reference Foster, Tre and Wodon2000, Heltberg Reference Heltberg2005, Hiemstra-van der Horst and Hovorka Reference Hiemstra-van der Horst and Hovorka2008). We note that few studies have explored supply-side factors affecting fuel choice (Jagger and Shively Reference Jagger and Shively2014, Lewis and Pattanayak Reference Lewis and Pattanayak2012, Rehfuess et al. Reference Rehfuess, Briggs, Joffe and Best2010). Global estimates (GEA 2012, UN DESA 2015) predict the absolute number of people dependent on biomass fuels will increase through 2030, suggesting that policymakers should be attentive to factors that influence the supply, demand, spatial distribution and governance dimensions of biomass fuels, including traditional woodfuels. Several studies have noted the lack of information available about fuelwood harvesting practices, geography and dynamics, specifically with respect to woody biomass availability within different land uses (Foley Reference Foley2005, Hiemstra-van der Horst and Havorka Reference Hiemstra-van der Horst and Hovorka2009, Smeets and Faaij Reference Smeets and Faaij2007). Insights into the combined spatial and behavioural dynamics of woodfuel supply and demand support a broader understanding of the role of forest products in sustainable energy transitions (Masera et al. Reference Masera, Ghilardi, Drigo and Trossero2006, Rehfuess et al. Reference Rehfuess, Briggs, Joffe and Best2010).

7.3 Forest-Based Energy Pathways

Forest products play a range of different roles in energy service provision and sustainable energy transitions depending on a variety of contextual factors. We identify four energy service pathways for forest products: (1) traditional woodfuels, (2) processed woodfuels, (3) liquid biofuels and (4) biopower and cogeneration (Table 7.2). For each pathway we discuss: (1) sustainability or extent to which they contribute to renewable energy targets, (2) socio-economic dimensions of the pathway and (3) how the pathway connects to theories of energy ladders/stacking. We also briefly touch on the regional setting where the pathway is most common, actors engaged in the pathway, the scale of operation and governance. We acknowledge the challenge of differentiating forest-based energy from the broader category of bioenergy. The term ‘bioenergy’ refers to energy derived from any organic matter available on a renewable basis, including forest and mill residues, agricultural crops (including field and processing residues), wood and wood waste, animal dung, fast-growing trees and herbaceous crops, etc. In practice, it is quite difficult to disaggregate the relative contribution of forests to bioenergy in most contexts due to how data are reported and depending on the definition of forest. In energy terms, the most common use of biomass after traditional cooking/heating is for industrial heat and space heating (REN21 2018). The biomass feedstocks for electricity cogeneration are predominantly forest residues (including black liquor), bagasse and other agricultural residues.

Table 7.2 Forest-based energy pathways

Traditional woodfuelsProcessed woodfuelsLiquid biofuelsBiopower and cogeneration
ProductsFuelwood and charcoal
  • Pellets, torrefied biomass;

  • Other compressed wood products

  • Transportation biofuels;

  • biodiesel

  • Pellets and other biomass converted to electricity;

  • Co-firing with coal or fossil fuels

Regional focusLow- and middle-income countries in the Global South
  • North America and Europe; China;

  • Small-scale examples throughout the Global South

Central America; tropical areas of Africa and Asia; Europe
  • Europe;

  • Japan;

  • South Korea

ActorsLarge number of small-scale producers and consumersSmall number of producers at various scales; Small- and medium-scale consumers
  • Medium- and large-scale producers;

  • Small- and medium-scale consumers

Industrial and government sectors
ScaleLocal with some regional tradeLocal, regional or globalRegional or globalRegional or global
GovernanceUnregulated; Informal sectorRegulated; Formal sector
  • Regulated;

  • Formal sector

Regulated; Formal sector
SustainabilityConditionally renewable but sometimes associated with forest degradationPressure to manage forest resources sustainably; Feedstock a supply issue in some settings
  • Pressure to manage forest resources sustainably;

  • GHG, energy, water, land intensive

Pressure to manage forest resources sustainably; GHG, energy, water, land intensive
Livelihoods/services/final energy useCooking and heatingCooking and heating
  • Transportation sector;

  • Electricity; Industrial development

Electricity; Heating, Cooking, Industrial development
Energy ladder or energy stackingStackingStackingLadder and stackingStacking

7.4 Traditional Woodfuels

7.4.1 Context

Traditional woodfuels, which include both firewood and charcoal, represent more than half of the global wood harvest and nearly 8 per cent of the primary global energy supply (FAOSTAT 2015, REN21 2018). Roughly 2.8 billion people worldwide (Bonjour et al. Reference Bonjour, Adair-Rohani and Wolf2013), including the world’s poorest and most marginalised, burn traditional woodfuels to satisfy their basic energy needs, with cooking and heating being the major services provided. Globally, the absolute number of traditional woodfuel users will increase at least through to 2030 (Riahi et al. Reference Riahi, Dentener and Gielen2012). The traditional woodfuel sector is typically comprised of large numbers of small to medium-scale actors. Many traditional woodfuel consumers collect or produce their own woodfuels for subsistence consumption, though there is a rapidly growing trade in charcoal, particularly in sub-Saharan Africa and the Middle East. Traditional woodfuel markets often lack regulatory frameworks or operate in environments where rules related to the production, transport and sale of woodfuels are not enforced.

7.4.2 Sustainability

Woodfuel demand is frequently associated with deforestation and forest degradation (de Montalembert and Clement Reference de Montalembert and Clement1983, Eckholm Reference Eckholm1975, Eckholm et al. Reference Eckholm, Foley, Barnard and Timberlake1984). Concerns about the impacts of firewood and charcoal consumption on forests have motivated interventions to reduce woodfuel consumption several decades. Often implemented by development agencies or other outside actors, interventions have tried to enhance fuel supply through tree nurseries and community woodlots, production of briquettes and promoting fuel-saving cook stoves. Despite decades of attempts, few interventions have achieved widespread success.

Researchers have quantified traditional woodfuel sustainability in different locations (Drigo et al. Reference Drigo, Bailis, Ghilardi and Masera2015, Ghilardi et al. Reference Ghilardi, Bailis and Mas2016). One pantropical assessment estimated that roughly 30 per cent of the global wood harvest is unsustainable, leading to localised degradation, with hotspots concentrated in South Asia and East Africa (Bailis et al. Reference Bailis, Drigo, Ghilardi and Masera2015). The loss of terrestrial carbon resulting from woodfuel-consumption-driven land-cover change is equivalent to 1–2 per cent of global CO2 emissions, and roughly 20 per cent of global land-use change emissions. There is now consensus that, in the absence of other drivers of land-cover change, woodfuel demand rarely results in long-term deforestation. However, under many circumstances it can cause forest degradation.Footnote 3 We understand that geographically specific biophysical and socio-economic factors play a critical role in woodfuel sustainability (Hosonuma et al. Reference Hosonuma, Herold and Veronique2012 Hansfort and Mertz Reference Hansfort and Mertz2011, Mayaux et al. Reference Mayaux, Pekel and Desclee2013, Singh et al. Reference Singh, Rawat and Verma2010, Smith et al. Reference Smith, Bustamante, Ahammad, Edenhofer, Pichs-Madruga and Sokona2014b). Biophysical factors include land cover, species distribution, climatic conditions and topography, among others. Socio-economic factors include population distribution, growth and urbanisation rates, wood energy demand and other drivers of land-cover change. Policies affecting land use, forest management and energy preferences are also important to protecting forests and people in areas with populations dependent on traditional woodfuels.

A noteworthy exception of the impact of traditional woodfuel consumption on forest sustainability is the impact of woodfuel demand in humanitarian settings. Sudden influxes of people, and their need for cooking energy in particular, can place pressure on forest resources, as observed in large refugee camps in Kenya, Sudan, Somalia, Nigeria, Myanmar, Bangladesh and elsewhere (Caniato et al. Reference Caniato, Cariliez and Thulstrup2017, Thulstrup et al. Reference Thulstruo, Habimana, Joshi and Oduori2018). Many of these camps are located in already fragile ecological settings.

7.4.3 Livelihoods

Woodfuels play an important role in the livelihoods of billions of people in the Global South. In a study of forest reliance among rural populations in 25 countries throughout the Global South, Angelsen et al. (Reference Angelsen, Jagger and Babigumira2014) estimate that traditional woodfuels account for 35 per cent of forest income (subsistence plus cash). Despite the important role that woodfuels play in income generation and diversification, woodfuel reliance has negative consequences for human health (Bruce et al. Reference Bruce, Perez-Padilla and Albalak2000, Smith et al. Reference Smith, Bruce and Balakrishnan2014a). Household air pollution (HAP) related to burning solid fuels (including firewood and charcoal) was responsible for 2.6 million deaths in 2016 (Health Effects Institute 2018). Exposure to HAP related to burning biomass as fuel is the thirteenth-largest risk factor overall, and the second-largest environmental risk factor (in low and middle-income countries) for global burden of disease after ambient air pollution (Forouzanfar et al. Reference Fourouzanfar, Alexander and Anderson2015). Other health effects associated with firewood collection include risk of physical assault (O’Brien Reference O’Brien2006), musculoskeletal injuries from carrying fuelwood bundles and insect and snake bites (Haile Reference Haile1991). In addition to health burdens, reliance on traditional woodfuels has implications for allocation of productive time, particularly for women and children. Where forest resources are scarce, people dedicate more time to wood collection and frequently involve children in the activity. When young girls spend more time collecting wood, they spend less time in school and do not progress to higher levels of education (Oluwafemi et al. Reference Oluwafemi, Oluwatofunmi, Godson and Olopade2012).

7.4.4 Link to Energy Transition Theories and SDG 7

Traditional woodfuels have a limited role to play in the way that SDG 7 is articulated. Firewood and charcoal are at the lowest rung on the energy ladder. Munro et al. (Reference Munro, van der Horst and Healy2017), in a study in Sierra Leone, express concern for both the lack of attention to energy poverty in SDG 7 discussions and for the flawed dismissal of the role of sustainably sourced traditional woodfuels in supporting the realisation of SDG 7. They cite an overemphasis on ‘modern energy’, much of which is out of reach for lower-income groups, advocating for an approach that allows for the promotion of multiple energy sources, including traditional woodfuels. This view supports energy stacking as the theory of change required to move towards achieving SDG 7. However, ensuring modern and affordable access to clean energy will likely involve significant reductions in traditional woodfuels.

7.5 Processed Woodfuels and Liquid Biofuels

7.5.1 Context

We distinguish between two main types of forest-based bioenergy: processed woodfuels (densified or torrefied solid fuels), and production of liquid biofuels from forest and woodland products (e.g. Jatropha curcas). Processed woodfuels are widely used for home heating in Northern Europe and China; in a small but growing number of countries in the Global South they are used in tandem with micro-gasification cook stoves (Case Study 7.1). Liquid biofuels help society respond to the increased demand for renewable energy sources to meet EU climate policy and renewable energy targets and comply with international agreements on climate change. The transition to renewable fuels in countries addressing the SDG 7 framework may create demand for new forest-based fuel products (Case Study 7.2).

Case Study 7.1 Densified Pellets (Processed Wood Fuel) in Rwanda

Founded in 2012, Inyenyeri, a for-profit social benefit company in Rwanda, is a private sector firm marketing processed woodfuels (e.g. pellets, briquettes) and micro-gasification stoves. Other than Supamoto, a firm in Zambia, no other pellet/cook-stove promoter in sub-Saharan Africa operates at the same scale. The experience of Inyenyeri provides insights into the challenges related to pellet production, improved cook-stove selection and the structure of the marketing model for businesses providing household energy services (Jagger and Das Reference Jagger and Das2018). Here we focus on their experience with producing pellets. The firm’s business model requires supplying enough biomass pellets to support the current customer base. Obtaining sustainably sourced feedstock of adequate type and quantity and maintaining a functional production facility are the major issues Inyenyeri has dealt with during its pilot phase from 2012 to 2018. The firm has experimented with a range of feedstock supply options, including a trade-in mechanism whereby rural biomass collectors exchange feedstock for pellets, and sourcing sawdust and other feedstocks from larger-scale operations in relatively close proximity to the pelletising plant in north-western Rwanda. The logistics of storing, transporting and drying feedstock have provided additional complexity to the operation. Inyenyeri is currently in negotiations with the Government of Rwanda to source feedstock from pine plantations in order to maintain a consistent supply of high-quality material for pelletising. The capital investment required for building large pelletising factories and the challenges of maintenance and repair in central Africa have been obstacles to scaling-up pellet production. Relying on a single pelletiser is a problem in an environment where capacity for equipment maintenance is low. The efficacy of a decentralised versus centralised system of pellet production (i.e. a few large-scale factories versus several small- to medium-scale enterprises) should be considered.

Inyenyeri’s experience over the past five years illustrates the complexity of building a market for a clean cooking solution involving processed woodfuels. The potential of pellet and fan micro-gasification cooking should continue to be explored, particularly in settings where widespread distribution of affordable LPG and electric cooking systems will be realised in the distant future. Inyenyeri represents an important test case for understanding how to achieve a clean cooking system using a renewable biomass source in sub-Saharan Africa.

Case Study 7.2 Jatropha Biofuel

Jatropha curcas is a shrub promoted in several low- and middle-income countries as a source of biofuel, with co-benefits of improving rural employment opportunities, diversifying income, securing biodiversity and regenerating degraded lands (Brittaine and Lutaladio Reference Brittaine and Lutaladio2010, Reubens et al. Reference Reubens, Achten and Maes2011, Valdés-Rodríguez et al. Reference Valdés-Rodríguez, Pérez-Vázquez and Muñoz Gamboa2014, von Maltitz and Setzkorn Reference von Maltitz and Setzkorn2012). It survives well in harsh climatic and soil conditions, making it attractive in areas where agricultural production is marginal. Several governments have provided financial incentives to promote J. curcas cultivation by smallholders and larger-scale plantations with the aim of fostering a market for biofuels (Jull et al. Reference Jull, Redondo, Mosoti and Vapnek2007, Pradhan and Ruysenaar Reference Pradhan and Ruysenaar2014, Soto et al. Reference Soto, Achten, Muys and Mathijs2015). Several J. curcas cultivation projects were initiated in Central America, where the plant is indigenous, and throughout tropical Africa and Asia in the early 2000s. Evidence of the impact of J. curcas cultivation for livelihoods and sustainability is mixed.

In a comparison of smallholder and plantation-based J. curcas production, van Eijck et al. (Reference van Eijck, Romijn and Smeets2013) found that smallholder production is associated with more secure land rights, GHG balance, improved biodiversity and effectiveness in the number of people reached. Smallholder projects tend to be more resilient, likely because of lower start-up and production costs (Kgathi et al. Reference Kgathi, Mmopelwa, Chanda, Kashe and Murray-Hudson2017). However, because government subsidies for J. curcas cultivation tend to go to households with more resources and better risk-coping strategies (Soto et al. Reference Soto, Achten, Muys and Mathijs2015), the poorest households are often excluded from government programmes. Low-income households are most vulnerable to negative social effects of J. curcas cultivation and are most likely to abandon the crop (Soto et al. Reference Soto, Ellison and Kenis2018). Plantations, on the other hand, are associated with decreased food security, loss of land rights and decreased biodiversity (van Eijck et al. Reference van Eijck, Romijn and Smeets2013). Plantation-based production creates more initial employment opportunities and higher incomes, but for a smaller number of people. The economic viability of plantations is limited in many settings because of high upfront costs, slow crop maturation and low yields, causing many projects to collapse before their yields can stabilise (Romijn et al. 2014, Gasparatos et al. Reference Gasparatos, von Maltitz and Johnson2015).

When cultivation involves clearing natural forest, impacts include deforestation, decreased biodiversity and threatened water sources (Creutzig et al. Reference Creutzing, Popp and Plevin2012, Fargione et al. Reference Fargione, Hill, Tilman, Polasky and Hawthorne2008, Laurance et al. Reference Laurance, Sayer and Cassman2014, Wu et al. Reference Wu, Zhang and Chiu2014). However, when J. curcas is planted on degraded lands, plantations have resulted in reduced soil erosion and renewed stimulation of biological activity, and thus improved soil quality, without competing with food production or depleting natural resources (Wani et al. Reference Wani, Chander and Sahrawat2012). Overall, small-scale J. curcas production on already degraded land not currently used for crop production has the best social and environmental impacts on forests and forest peoples (Skutsch et al. Reference Skutsch, de los Rios and Solis2011).

A challenge for this study is the disaggregation of forest versus non-forest-based liquid biofuels. For example, while ethanol and biodiesel produced from agricultural residues are important in China, Brazil and Sweden, they are outside the scope of this study because they are not forest-based. Other liquid biofuels – for example, those derived from palm in Indonesia – play a major role in meeting liquid biofuel targets, but are considered a contributor to deforestation when primary forest is cleared to establish plantations (Case Study 7.3).

Case Study 7.3 Palm Biodiesel in Indonesia

The development of the biodiesel sector in Indonesia is driven by multiple factors, including (1) a national agenda to support energy security in response to heavy dependence on imported crude oil (Dermawan et al. Reference Dermawan, Obidzinski and Komarudin2012, Kharina Reference Kharina, Malins and Searle2016, Naylor and Higgins Reference Naylor and Higgins2017), (2) expectations that developing the biodiesel sector contributes to efforts to mitigate climate change (da Silva Araujo Reference da Silva Araujo, Araujo and Costa2014, McBride et. al. Reference McBride, Dale and Baskaran2011, Sedjo Reference Sedjo2011), (3) Indonesia’s position as the world’s largest producer of palm oil, and (4) a mechanism for mitigating risk associated with fluctuations in the global price of palm oil (Danny Reference Danny2018, Nurfatriani et al. Reference Nurfatriani, Ramawati, Sari and Komarudin2018). The National Energy Policy issued in 2014 mandates that new and renewable energy, including biodiesel, make up 24.5 per cent of the national energy mix by 2025 and 31 per cent by 2050. The main policy to develop the biodiesel sector has been the blending target of 30 per cent of biodiesel use by 2020. The blending target is applicable to the transportation, industrial and electricity sectors, with its main emphasis on the transport sector.

Estimating the impacts of palm oil production for biodiesel on deforestation in Indonesia is empirically challenging for several reasons (Obidzinski et al. Reference Obidzinski, Andriani, Komarudin and Andrianto2012). First, the proportion of Indonesian palm oil that goes into biodiesel production is small. In 2017, 2.7 million tonnes – less than 10 per cent of total production – went into biodiesel (Wright and Rahmanulloh Reference Wright and Rahmanulloh2017). Second, palm oil is a product with multiple uses; biodiesel is only one of them. Large producers of palm oil derivatives can shift the palm oil from one purpose (e.g. food) to another (e.g. biodiesel) depending on economic conditions (Eynck et al. Reference Eynck, Shrestha, Vollmann and Singh2013).

Socio-economic analysis of the role of the palm oil sector with specific reference to biofuels is hindered by a lack of traceability of palm oil value chains. Biodiesel producers may receive palm oil from the company mills, from third-party corporate suppliers and from independent smallholders. Changes in biodiesel demand affects producers’ allocation of palm oil; however, impacts on forests and smallholders depend more broadly on palm oil demand, which may or may not relate to demand for palm oil-derived biodiesel.

Renewable portfolio standards across countries and sectors influence the role of forest products in meeting renewable energy targets, with standards taking different shape depending on the sector, country and policy environment. To date, the EU Renewable Energy Directive (RED) may be the most impactful policy on forest-based bioenergy (Searchinger et al. Reference Searchinger, Beringer and Bjart Holtsmark2018). RED is a binding target, though member states set their own (frequently non-binding or flexibly binding) domestic goals. Biofuels frequently play different roles in electricity and transportation sectors, ranging from wood pellets burned for electricity generation and household heating to liquid biofuels replacing fossil-fuel reserves in the transportation sector. For cooking, renewable energy portfolios distinguish between sustainably produced pellet fuels that replace unsustainably produced charcoal and continued use of traditional biomass energy sources.

7.5.2 Sustainability

Bioenergy is controversial for its potential competition with crop production and because of potential links to deforestation (e.g. palm biodiesel, Case Study 7.3). A range of sustainability standards and monitoring frameworks have been developed since the USA and the EU each implemented bioenergy trade rules and regulations in 2007/2008 (Scarlat and Dallemand Reference Scarlat and Dallemand2011). Bioenergy plays a particularly challenging role in renewable energy portfolios when sourced from forest products. Policies in place to prioritise waste, residues and specific crops help guide the monitoring and verification of liquid biofuel products, yet significant challenges remain to avoid unintended land-use changes resulting from renewable energy portfolio policies that incentivise bioenergy. Sustainability concerns include biodiversity impacts, landscape impacts, soil nutrients and protective functions, water impacts and GHG emissions. Renewable energy portfolio standards could increase forest product demand for bioenergy initiatives that produce electricity, transportation, heat and chemicals. Improved monitoring and verification of sources of processed woodfuels and liquid biofuels would provide a way to track the use of unsustainable forest products contributing to energy demand.

7.5.3 Livelihoods

Production of processed woodfuels and liquid biofuels is employment intensive, providing jobs at all stages in the value chain. REN21 (2010) estimates there were approximately 1.5 million direct jobs in 2010 for biomass production, operation, harvesting and transportation; biomass facility processing and upgrading; conversion plan construction, operation and maintenance; and distribution of final energy products. Due to the growing demand for bioenergy, the European Renewable Energy Council (EREC) and Greenpeace estimate the creation of 2.1 million new jobs in the sector by 2030 (EREC 2008). In many developed countries, regional policies support development of the bioenergy sector to enhance employment opportunities in rural economies (Halder et al. Reference Halder, Paladinic and Stevanov2014). Similar potential for growth in the sector exists in low and middle-income countries; however, given the reliance of local populations on forests for a wide range of goods and services, energy and rural development policies should ensure that local populations are not harmed by development of the sector. Cultivation of some biofuel feedstocks is similar to other large-scale monoculture cropping schemes, having large impacts on the supply of goods and services provided by natural forests.

Buongiorno et al. (Reference Buongiorno, Raunikar and Zhu2011) modelled the aggregate effects of bioenergy on the forestry sector on both local and regional economies. The global forest products model (GFPM) projects the consequences of the global forest sector doubling the rate of growth of bioenergy demand relative to a base scenario, all else being equal. Doubling bioenergy demand leads to the convergence of the price of firewood and industrial roundwood, raising the projected price of industrial roundwood by nearly 30 per cent by 2030. The price of sawn wood and panels would be 15 per cent higher. The price of paper would be 3 per cent higher. Concurrently, the demand for all manufactured wood products would be lower in all countries, but production would rise in countries with competitive advantage. Global value added in wood-processing industries would be 1 per cent lower in 2030; forest stock would be 2 per cent lower for the world and 4 per cent lower for Asia. Estimated effects vary substantially by country. Overall, the analysis implies that development of the bioenergy sector will negatively affect forest product prices and forest sustainability in a number of countries.

7.5.4 Link to Energy Transition Theories and SDG 7

Processed woodfuels and liquid biofuels may play a major role in the realisation of SDG 7; however, pricing and market development for other renewables, along with the regulatory framework surrounding mandated portfolios and certification, will influence how their role evolves. In most low-income countries, there are few examples of processed woodfuels or forest-derived liquid biofuels utilised at a significant scale for cooking and heating, though the use of agriculture and forest-derived liquid biofuels in the transportation sector is common. Most likely, for residential and small-scale industrial use, processed woodfuels and liquid biofuels will be part of an energy stacking transition that also includes traditional woodfuels in low- and middle-income countries, and more diversified portfolios, including other renewables in higher-income countries. For the realisation of SDG 7, several challenges emerge. Modern woodfuels need companion heating and cooking technologies (e.g. improved stoves) to ensure that the energy is clean (i.e. achieving efficiency gains, emission reductions and associated health benefits). In many countries, the development of both processed woodfuels and forest-derived biofuels involves establishing entirely new supply chains or importing high volumes of biomass. The overall sustainability and economic feasibility of developing supply chains is complex.

7.6 Biopower Cogeneration for Electricity

7.6.1 Context

Biopower and combined heat and power systems (cogeneration) use biomass in the form of pellets or other wood products to generate electricity. In the USA, overall biomass electricity generation is increasing in total production but decreasing in share of the electricity mix, possibly due to the rapidly declining cost of natural gas and alternative renewable energy sources. Bioenergy is promoted for electricity generation as a way to decarbonise the electricity sector, reduce emissions and meet Intergovernmental Panel on Climate Change (IPCC) climate targets (Davis et al. Reference Davis, Lewis and Shaner2018). In this context, many countries are exploring retrofitting coal plants to combust bioenergy for heat and power applications. In Brazil, biomass-derived charcoal could substitute for coal in the steel sector. To meet industry demands and phase out coal, millions of hectares of forest are necessary (Sonter et al. Reference Sonter, Barrett, Moran and Soares-Filho2015). Despite infrastructure and pressure on forest resources, demand for biomass electricity continues to grow in Europe and Japan. Canada and the USA export a significant amount of wood pellets to supply UK and European markets. Dwivedi et al. (Reference Dwivedi, Khanna, Bailis and Ghilardi2014) estimate a 50–68 per cent decrease in GHG intensity for electricity from wood pellets used for electricity in the UK.

7.6.2 Sustainability

A major challenge for sustainable forest management and biopower production is to ensure the use of waste and residue biomass products before using virgin materials for electricity generation or district heating. Certification of sustainably sourced biomass for electricity generation is a challenge. The UK and the EU have introduced new requirements to sustainably source biomass for electricity, focusing on waste and residues rather than pure wood (European Commission 2016). Future targets that adhere to these priority measures can reduce pressure on forests. RED established non-binding criteria, including banning the use of biomass from land converted from high biodiversity forest areas and favouring national biofuel support schemes. Despite these reporting efforts, monitoring of the origin of biomass consumed in the EU remains a challenge to sustainably managing megawatt-scale biomass heat and power initiatives.

The IPCC Working Group Report includes biomass as a critical electricity generation technology along with carbon capture and storage (bioenergy carbon capture and storage or BECCS) in its models as one of the few ways to maintain two degrees of global warming without incurring significant costs to the electricity system. Future models of decarbonised electricity systems place the levelised cost of biomass electricity in a range similar to renewable electricity systems today – though it may require further integration for cost-effective, low-carbon biomass systems (Sanchez et al. Reference Sanchez, Nelson, Johnston, Mileva and Kammen2015). The affordability and viability of such emissions reductions remain a point of debate and uncertainty, primarily due to the lack of alternative electricity supply options and the assumption that carbon sequestration remains cheaper than alternative generating sources, including solar and wind which do not have the same ‘negative’ emissions potential. Realising emission reduction strategies through BECCS technologies would require significant technological innovation and could impose higher costs than the IPCC estimates. This could significantly affect demand for bioenergy forest products and place pressure on forests in Africa and the Amazon region. Not all BECCS is produced and stored at the same location, which poses challenges to monitor and verify the emission reductions and avoid double counting.

Finally, an important consideration for the future of biopower in realising SDG 7 is the rapidly declining cost of solar, wind, geothermal and battery storage (Kittner et al. Reference Kittner, Lill and Kammen2017). Renewable energy alternatives may affect demand for biopower in the future, but near-term generation indicates continued consumption of electricity from (mainly agriculture-sourced) biomass feedstocks in USA, China, Germany and Brazil. If expanded beyond agricultural capacity, there could be indirect effects on forests, such as the conversion of forestland to produce biopower crops or fast-growing wood pellet farms.

7.6.3 Livelihoods

Evidence of the livelihood impacts of the growth of biopower within the energy sector is limited. Government subsidies that support BECCS could induce conversion from natural forests to plantations to produce bioenergy, which may threaten forests or people with forest-based livelihoods. However, market stimulation of increased biopower energy demand may not have localised effects. For example, if bioenergy products for power generation in the EU are imported in pellet form from exporting nations such as the USA and Canada, employment generation may occur, but not in places where demand for biopower is realised.

7.6.4 Link to Energy Transition Theories and SDG 7

To the extent that biopower will replace other energy sources, particularly for district heating, it supports the stacking hypothesis. The RED set up legally binding mandates to target a certain percentage of energy consumption from renewable sources, and similar policies are in place in the UK. While electricity production using wood pellets will increase, it is unlikely to fully displace current modes of energy production.

Most notably, the RED has generated a large demand for wood pellets used in electricity generation and district heating for urban areas. The RED sets a binding target of 20 per cent final energy consumption from renewable sources by 2020, which includes biomass energy. All EU member states have created action plans, and a number of individual states with large heating demands and forest resources have turned to wood pellets as an energy technology to meet this target. Cogeneration of electricity and heat used for distribution throughout cities or buildings has emerged as a low-cost method to deliver critical renewable energy services to European households.

Case Study 7.4 Biopower and Cogeneration in Southeast Europe

Most existing coal power plant infrastructure could transition at a relatively low cost to burning biomass pellets. Switching from coal to biomass pellets using existing infrastructure alleviates the financial burden of financing new infrastructure projects and has gained significant attention in the USA, Europe and China. Eastern European countries maintain large production and consumption shares of forest bioenergy for district heating and cogeneration. In particular, wood chips overtook natural gas in Lithuania as primary district heating fuels in 2017 (REN21 2017). Other countries in Southeast Europe – including Kosovo, Bosnia and Herzegovina, Serbia and Croatia – may continue this trend as they address rising air pollution and associated health burden concerns from burning lignite coal, and can switch fuels without significantly altering boiler technologies (Kittner et al. Reference Kittner, Dimco, Azemi, Tairyan and Kammen2016). For emerging economies, biomass presents a dual challenge. The large area of forest cover in Kosovo provides a cost-effective alternative to lignite coal for household heating and electricity generation if managed domestically. However, sustainability issues remain, and a significant expansion of biomass reliance could increase demand for imported biomass, placing pressure on nations seeking extra revenue from wood product exports.

In Kosovo and the western Balkans, household heating remains a critical challenge to achieving SDG 7. It is expensive and difficult to provide affordable and reliable energy during the winter months, when temperatures can drop below freezing, and there is a high dependence on lignite coal for heating. The region has large areas of forest, allowing for the production and use of higher-quality woodfuels containing fewer toxic pollutants than lignite coal. However, lack of access to quality woodfuels has hindered availability for residents across the country. Switching from lignite towards cleaner bioenergy options could also reduce exposure to toxic trace metals, including chromium and arsenic (Kittner et al. Reference Kittner, Fadadu, Buckley, Schwarzman and Kammen2018). Efforts to achieve the health benefits of burning cleaner heating fuels should pay special attention to the management and governance of land dedicated to growing fuel wood. Alternatively, if electric heat pumps are widely adopted, as they have been in other European nations, there could be better opportunities to use electricity for household heating and reduce the demand for woodfuels from forests. A significant expansion of the woodfuel market without domestic management could cause larger-scale woodchip operations and imports from as far away as the south-eastern United States, where fast-growing trees for wood pellets have surged in production over the past 10 years.

7.7 Large-Scale Energy Infrastructure Development and Impacts on Forests and Forest-Reliant People

Many emerging economies with low levels of electricity access view hydropower as a way to meet SDG 7 goals. There are an estimated 450 planned hydropower dams expected to generate dozens of gigawatts of electricity capacity across the Amazon, Democratic Republic of Congo and the Mekong River Basin (Myanmar, Laos and Vietnam) in the coming decade (Winemiller et al. Reference Winemiller, McIntyre and Castello2016). If built to satisfy SDG 7 targets of clean and affordable energy without design precautions and consideration of environmental and social safeguards, these plants could drastically alter forest cover, biodiversity and local livelihoods. Widespread forest cover loss and concerns about displacing people from their homes are major concerns (Winemiller et al. Reference Winemiller, McIntyre and Castello2016). For example, in Brazil, hydropower supplies more than two-thirds of electricity. Forest-dependent populations are displaced by dam construction, and new roads associated with dam development indirectly lead to agricultural expansion and increased forest cover losses (Barber et al. Reference Barber, Cochrane, Souza and Laurance2014, Zarfl et al. Reference Zarfl, Lumsdon, Berlekamp, Tydecks and Tockner2015). Plants are often justified as providing electricity to affected rural populations, even though they frequently fail to serve low-income or last-mile populations.

Hydropower often draws the attention of climate financiers that consider it a low-carbon electricity source. However, hydropower projects greater than 1 megawatt in size carry a substantial land footprint and require reservoirs spanning several hundred square kilometres, as is the case along the Amazon where reservoirs displace tropical forests to meet Brazil’s demand for electricity (de Faria et al. Reference de Faria, Jaramillo, Sawakuchi, Richey and Barros2015). Carbon emissions associated with these hydropower reservoirs include methane off-gassing, the carbon release from converted tropical forestland during dam construction and associated ecological changes in land use along the riparian zones (de Faria et al. Reference de Faria, Jaramillo, Sawakuchi, Richey and Barros2015, Räsänen et al. Reference Räsänen, Varis, Scherer and Kummu2018). In the Mekong, some hydropower reservoirs rival GHG emissions from fossil-fuel plants when considering the methane flux from reservoirs (Räsänen Reference Räsänen, Varis, Scherer and Kummu2018).

Hydropower is also controversial due to uncertainty about whether plants can provide low-cost electricity access when alternative technologies are available (de Faria and Jaramillo Reference de Faria and Jaramillo2017, Deshmukh et al. Reference Deshmukh, Mileva and Wu2018). This includes options to use forest-based biomass for electrification or gasification and the adoption of solar or small hydropower-based mini-grids. At present, hydropower is appealing as basic solar home systems often fail to meet the demand required for rice milling or cooking that many populations without electricity access desire. Smaller, more ecologically friendly types of hydropower dams exist that can meet SDG 7 goals without destroying forests and displacing people. Mini hydropower projects with localised distribution are likely to have a far lower impact than large-scale efforts. Higher capacity mini-grids in Nepal, Myanmar and Laos provide new opportunities to utilise larger-scale solar photovoltaics or hydropower dams in complementary ways. A focus on the diversity of renewable energy options available, including those from solar, wind and biomass, can mitigate larger risks for land management, tropical forests and people who are seeking access to electricity.

7.8 SDG 7 and Its Relationship to Other SDGs

In order to understand the implications of fulfilling SDG 7 as it relates to other SDGs, we consider each of the four forest energy pathways reviewed and present the hypothesised impacts for both forests and forest-reliant peoples should SDG 7 be realised (see Table 7.3). Our assumption is that as progress towards SDG 7 increases, the role of traditional woodfuels will decline and the role of modern woodfuels and biofuels will increase.

Table 7.3 Trade-offs and synergies between fulfilling SDG 7 and other SDGs

SDGReduction in use of traditional woodfuelsIncrease in processed woodfuels, liquid biofuels and biopower/cogeneration
ForestsPeopleForestsPeople
1 No povertyReduced pressure on forests improves ecosystem services (+)
  • Reduced woodfuel reliance (+);

  • Loss of employment (−)

Loss of ecosystems services (−)
  • Employment in renewables sector (+);

  • Poor and last-mile populations left out of the transition (−)

2 Zero hungerReduced degradation allowing forest foods to flourish (+)More efficient technologies requiring less fuel for cooking, more frequent/diverse cooked meals (+)Land degradation and loss of agricultural land from pressure to develop biofuels sector (−)Potential decrease in food security in biofuel planation development areas (−)
3 Good health and well-beingPreservation of forests supporting human health and well-being (+)Reduced exposure to household air pollution (+); Reduced risk of injury/harm (+)Loss of natural areas due to development of bioenergy (−)Reductions in exposure to household air pollution (+)
4 Quality educationReduced fuel collection and cooking time freeing people to go to school (+)
5 Gender equalityImproved access for society to women’s forest management capabilities (+)Reduced fuel-collection time freeing women of drudgery; Improved cooking conditions increasing safety (+)
6 Clean water and sanitationReduced impact on forest ensuring high-quality water (+)Water tables affected by emphasis on fast-growing species (−)Reduced cost and time to treat water by boiling (+)
8 Decent work and economic growth
  • Reduced harvest time for woodfuels decreasing dangerous activity (+);

  • Loss of connection with forests and social aspects of woodfuel collection (−)

New sector development, employment generation (+)
9 Industry, innovation and infrastructureTransition away from inefficient technologies (+)New innovations in forest plantation use (+)Emergence of biofuels sector as new in many countries – leading to diversified economies (+)
10 Reduced inequalitiesClosing gap between those reliant on biomass and those with access to modern energy (+)New opportunities for engagement in forest management (+)
11 Sustainable cities and communitiesReduced pressure on urban trees and forests in rural areas supporting more sustainable environments (+)Household adoption of modern fuels (+)Commitment to renewable energy portfolios reduces household air pollution (+)
12 Responsible consumption and productionReduces pressure on forests (+)Increased use of more efficient technologies (+)
13 Climate actionReduced GHG emissions from deforestation/forest degradation and from improved combustion processes (+)Mitigation of ambient and household air pollution exposure (+)
14 Life below waterReduced land degradation leading to less run-off and water pollution (+)Increased pressure on water resources to irrigate bioenergy crops (−)
15 Life on landGreater biodiversity results from reducing woodfuel pressure on forest (+)Securing ecosystem services for human well-being (+)Increased role of biofuels in energy portfolios (+/−)
16 Peace, justice and strong institutionsReduced corruption in traditional woodfuel sector leading to decreased deforestation and forest degradation (+)Reduced rent-seeking behaviour with respect to traditional woodfuels to improve livelihoods (+)Increased focus on forest plantations as energy source reinforcing property rights (+)Support for renewable energy targets and links to global climate institutions can enhance economies (+)
17 Partnerships for the goals

7.9 Conclusion

This chapter reviews the role that forest-derived energy will play in the realisation of SDG 7, focusing on four pathways for forests to contribute to energy service provision: traditional woodfuels, modern woodfuels, liquid biofuels and biopower/cogeneration. Energy transitions in low- and middle-income countries will likely involve reductions in traditional woodfuel reliance for heating, cooking and small-scale industrial energy provision, whereas countries currently seeking to diversify renewable energy portfolios may see an increase in forest-based bioenergy as long as it remains competitive and cost-effective. The cost of other renewables will play a major role in determining how important forest-based energy sources are for electricity, heating, cooking and transportation. A recent and growing literature addresses various aspects of SDG 7 and the role of forests. Calzadilla and Mauger (Reference Calzadilla and Mauger2017) cite wind and solar as the most promising energy sources for developing countries while indicating concerns about the lack of attention to equity issues in case studies from Chile, India, Kenya and Mexico. In most settings, our expectation is a transition that involves the diversification of energy sources that households and businesses rely on rather than a complete transition away from current fuels and technologies. Baptista and Plananska (Reference Baptista and Plananska2017) cite problems of path dependence and inertia in the implementation of energy initiatives in sub-Saharan Africa, suggesting that transitions will be slow and likely support the use of multiple energy sources, making the energy stacking hypothesis most plausible. The case studies highlight the different trade-offs to consider when implementing SDG 7 targets and provide insights into the challenge of integrating forests into the transition to cleaner and more affordable energy systems.

Recognising the co-benefits associated with forest-based energy pathways generally supports the realisation of other SDGs. Partnerships with other SDGs that acknowledge the role of forests in energy service provision are particularly essential to improving livelihoods and conditions in forest regions (Gratzer and Keeton Reference Gratzer and Keeton2017). In contrast, if SDG 7 is realised through the promotion of large-scale energy infrastructure projects, including hydropower and land-intensive solar and wind farms, forest ecosystems and forest livelihoods could be at risk, compromising other SDG outcomes.

Footnotes

* Lead author.

1 For this analysis, we consider biomass from forests and woodlands, and their contributions to energy production. Forests are land spanning more than 0.5 hectares with trees higher than 5 metres and a canopy cover of more than 10 per cent, or trees able to reach these thresholds in situ. Woodlands include trees able to meet the forest definition and land with a combined cover of shrubs, bushes and trees above 10 per cent. It does not include land that is predominantly under agricultural or urban land use (FRA 2015).

2 We do not discuss in any depth non-forest-based energy pathways, which include fossil fuels and renewables other than bioenergy (i.e. solar, wind, geothermal, nuclear).

3 For this discussion, it is important to distinguish between deforestation, defined as direct human-induced conversion of forested land to non-forested land, and forest degradation, defined as long-term reduction of the overall potential supply of benefits from the forest, which includes carbon, wood, biodiversity and other goods and services.

References

Angelsen, A., Jagger, P., Babigumira, R. et al. 2014. Environmental income and rural livelihoods: A global comparative analysis. World Development 64(Supplement 1):S1228.Google Scholar
Arnold, J. E. M., Köhlin, G. and Persson, R. 2006. Woodfuels, livelihoods, and policy interventions: changing perspectives. World Development 34(3):596611. doi:10.1016./j.worlddev.2005.08.008.CrossRefGoogle Scholar
Bailis, R., Drigo, R., Ghilardi, A. and Masera, O. 2015. The carbon footprint of traditional woodfuels. Nature Climate Change 5:266–72.Google Scholar
Baptista, I. and Plananska, J. 2017. The landscape of energy initiatives in sub-Saharan Africa: Going for systemic change or reinforcing the status quo? Energy Policy 110:18.Google Scholar
Barber, C. P., Cochrane, M. A., Souza, C. M. and Laurance, W. F. 2014. Roads, deforestation, and the mitigating effect of protected areas in the Amazon. Biological Conservation 177:203–9.Google Scholar
Bonjour, S., Adair-Rohani, H., Wolf, J. et al. 2013. Solid fuel use for household cooking: Country and regional estimates for 1980–2010. Environmental Health Perspectives 121(7):784–90.Google Scholar
Brittaine, R. and Lutaladio, N. 2010. Jatropha: A smallholder bioenergy crop – the potential for pro-poor development. Integrated Crop Management, vol. 8. Rome: Food and Agriculture Organization of the United Nations (FAO).Google Scholar
Bruce, N., Perez-Padilla, R. and Albalak, R. 2000. Indoor air pollution in developing countries: A major environmental and public health challenge. World Health Organization Bulletin 78:1078–92.Google Scholar
Buongiorno, J., Raunikar, R. and Zhu, S. 2011. Consequences of increasing bioenergy demand on wood and forests: An application of the global forest products model. Journal of Forest Economics 17:214–29.CrossRefGoogle Scholar
Calzadilla, P. V. and Mauger, R. 2017. The UN’s new sustainable development agenda and renewable energy: The challenge to reach SDG7 while achieving energy justice. Journal of Energy & Natural Resources Law 36(2):233–54.Google Scholar
Caniato, M., Cariliez, D. and Thulstrup, A. 2017. Challenges and opportunities of new energy schemes for food security in humanitarian contexts: A selective review. Sustainable Energy Technologies and Assessments 22:207–19.Google Scholar
Cooke, P. Köhlin, G. and Hyde, W. F. 2008. Fuelwood, forests and community management – evidence from household studies. Environment and Development Economics 13(1):103–35. doi:10.1017/S1355770X0700397X.CrossRefGoogle Scholar
Creutzing, F., Popp, A., Plevin, R. et al. 2012. Reconciling top-down and bottom-up modelling on future bioenergy deployment. Nature and Climate Change 2:320–7.Google Scholar
Danny, W. 2018. Efektifitas dana sawit dalam mendukung industry sawit berkenaljutan dan berkeadilan. Presentation in the workshop on Optimizing the CPO Fund in Supporting Sustainable Palm Oil Industry and Avoiding Deforestation, Jakarta, 13 March 2018.Google Scholar
da Silva Araujo, F., Araujo, I. C., Costa, I. et al. 2014. Study of degumming process and evaluation of oxidative stability of methyl and ethyl biodiesel of Jatropha curcas L. oil from three different Brazilian states. Renewable Energy 71:495501.Google Scholar
Davis, S. J., Lewis, N. S., Shaner, M. et al. 2018. Net-zero emissions energy systems. Science 360 (6396):eaas9793.Google Scholar
de Faria, F. A. and Jaramillo, P. 2017. The future of power generation in Brazil: An analysis of alternatives to Amazonian hydropower development. Energy for Sustainable Development 41:2435.Google Scholar
de Faria, F. A., Jaramillo, P., Sawakuchi, H. O., Richey, J. E. and Barros, N. 2015. Estimating greenhouse gas emissions from future Amazonian hydroelectric reservoirs. Environmental Research Letters 10(12):124019.Google Scholar
de Montalembert, M. R. and Clement, J. 1983. Fuelwood supplies in the developing countries. FAO Forestry Paper. Rome: FAO.Google Scholar
Dermawan, A., Obidzinski, K. and Komarudin, H. 2012. Withering before full bloom? Bioenergy development in Southeast Asia. CIFOR Working Paper No. 94, Bogor, Indonesia: Center for International Forestry Research (CIFOR).Google Scholar
Deshmukh, R., Mileva, A. and Wu, G. C. 2018. Renewable energy alternatives to mega hydropower: A case study of Inga 3 for Southern Africa. Environmental Research Letters 13(6).Google Scholar
Drigo, R. Bailis, R., Ghilardi, A. and Masera, O. 2015. Analysis of woodfuel supply, demand and sustainability in Honduras. WISDOM Case Studies. Available at: www.cleancookingalliance.org/resources/425.html (Accessed 12 March 2019).Google Scholar
Dwivedi, P., Khanna, M., Bailis, R. and Ghilardi, A. 2014. Potential greenhouse gas benefits of transatlantic wood pellet trade. Environmental Research Letters 9(2):024007.Google Scholar
Eckholm, E. 1975. The other energy crisis: Fuelwood. Worldwatch Paper 1. Washington, DC: Worldwatch.Google Scholar
Eckholm, E., Foley, G., Barnard, G. and Timberlake, L. 1984. Fuelwood: The energy crisis that won’t go away. Washington, DC: Earthscan.Google Scholar
Ellabban, O., Abu-Rub, H. and Blaabjerg, F. 2014. Renewable energy resources: Current status, future prospects and their enabling technology. Renewable and Sustainable Energy Reviews 39:748–64. doi:10.1016/j.rser.2014.07.113.Google Scholar
European Commission 2016. Proposal for a directive of the European Parliament and of the Council on the promotion of the use of energy from renewable sources. COM/2016/0767 final – 2016/0382 (COD). Brussels: European Commission.Google Scholar
European Renewable Energy Council (EREC) 2008. 2008 Renewable Energy Technology Roadmap 20% by 2020. Brussels: EREC.Google Scholar
Eynck, C., Shrestha, D., Vollmann, J. et al. 2013. Sustainable oil crops production. In Singh, B. P. (ed.) Biofuel crop sustainability. West Sussex, UK: John Wiley & Sons, pp. 165204.Google Scholar
FAOSTAT 2015. Forestry production and trade. Available at: http://faostat3.fao.org/faostat-gateway/go/to/download/F/*/E (Accessed 27 July 2019).Google Scholar
Fargione, J., Hill, J., Tilman, D., Polasky, S. and Hawthorne, P. 2008. Land clearing and the biofuel carbon debt. Science 319:1235–8.CrossRefGoogle ScholarPubMed
Foley, J. A. 2005. Global consequences of land use. Science 309(5734):570–4. doi:10.1126/science.1111772.Google Scholar
Forest Resource Assessment (FRA) 2015. FRA 2015 Terms and Definitions. Forest Resource Assessment Working Paper Number 180. Rome: Food and Agriculture Organization of the United Nations.Google Scholar
Foster, V., Tre, J-P., and Wodon, Q. 2000. Energy prices, energy efficiency, and fuel poverty. World Bank Working Paper. Washington, DC: World Bank.Google Scholar
Fourouzanfar, M. H., Alexander, L, Anderson, H. R. et al. 2015. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. The Lancet 386:2287–323.Google Scholar
Gasparatos, A., von Maltitz, G. P., Johnson, F. X. et al. 2015. Biofuels in sub-Sahara Africa: Drivers, impacts and priority policy areas. Renewable and Sustainable Energy Reviews 45:879901.Google Scholar
Ghilardi, A., Bailis, R., Mas, J. F., et al. 2016. Spatiotemporal modeling of fuelwood environmental impacts: Towards an improved accounting of non-renewable biomass. Environmental Modelling & Software 82:241–54.CrossRefGoogle Scholar
GEA (Global Energy Assessment) 2012. Global energy assessment: Toward a sustainable future. Cambridge UK and New York, USA: Cambridge University Press and the International Institute for Applied Systems Analysis, Laxenburg, Austria.Google Scholar
Gratzer, G. and Keeton, W. S. 2017. Mountain forests and sustainable development: The potential for achieving the United Nations’ 2030 Agenda. Mountain Research and Development 37(3):246–53.Google Scholar
Gupta, G. and Köhlin, G. 2006. Preferences for domestic fuel: Analysis with socio-economic factors and rankings in Kolkata, India. Ecological Economics 57(1):107–21. doi:10.1016/j.ecolecon.2005.03.010.Google Scholar
Haile, F. 1991. Women fuelwood carriers in Addis Ababa and the peri-urban forest: Report to International Development Research Centre (IDRC) and National Urban Planning Institute (NUPI). Geneva: International Labour Organization.Google Scholar
Halder, P., Paladinic, E., Stevanov, M. et al. 2014. Energy wood production from private forests – non-industrial private forest owners’ perceptions and attitudes in Croatia and Serbia. Renewable and Sustainable Energy Reviews 35:515–26.CrossRefGoogle Scholar
Hansfort, S. and Mertz, O. 2011. Challenging the woodfuel crisis in West African woodlands. Human Ecology 39(5):583–95.CrossRefGoogle Scholar
Hanssen, S., Duden, A. S., Junginger, M. et al. 2017. Wood pellets, what else? Greenhouse gas parity times of European electricity from wood pellets produced in the south-eastern United States using different softwood feedstocks. Global Change Biology Bioenergy 9(9):14061411. doi:10.1111/gcbb.12426.Google Scholar
Health Effects Institute 2018. State of Global Air 2018. Special Report. Boston: Health Effects Institute.Google Scholar
Heltberg, R. 2005. Factors determining household fuel choice in Guatemala. Environment and Development Economics 10(3):337–61. doi:10.1017/s1355770x04001858.Google Scholar
Hiemstra-van der Horst, G. and Hovorka, A. J. 2008. Reassessing the ‘energy ladder’: Household energy use in Maun, Botswana. Energy Policy 36(9):333–44. doi:10.1016/j.enpol.2008.05.006.Google Scholar
Hiemstra-van der Horst, G. and Hovorka, A. J. 2009. Fuelwood: The ‘other’ renewable energy source for Africa? Biomass and Bioenergy 33(11):1605–16. doi:10.1016/j.biombioe.2009.08.007.CrossRefGoogle Scholar
Hosonuma, N., Herold, M., Veronique, D. S. et al. 2012. An assessment of deforestation and forest degradation drivers in developing countries. Environmental Research Letters 7(4):4009.Google Scholar
Jagger, P. and Das, I. 2018. Implementation and scale-up of a biomass pellet and improved cookstove enterprise in Rwanda. Energy for Sustainable Development 46:3241. doi:10/1016/j.esd.2018.06.005.CrossRefGoogle ScholarPubMed
Jagger, P. and Shively, G. 2014. Land use change, fuel use and respiratory health in Uganda. Energy Policy 67:713–26. doi:10.1016/j.enpol.2013.11.068.CrossRefGoogle ScholarPubMed
Jull, C, Redondo, P. C., Mosoti, V. and Vapnek, J. 2007. Recent trends in the law and policy of bioenergy production, promotion and use. FAO Legislative Study No. 95. Rome: FAO.Google Scholar
Kgathi, D. L., Mmopelwa, G., Chanda, R., Kashe, K. and Murray-Hudson, M. 2017. A review of the sustainability of Jatropha cultivation projects for biodiesel production in southern Africa: Implications for energy policy in Botswana. Agriculture, Ecosystems and Environment 246:314–24.Google Scholar
Kharina, A., Malins, C. and Searle, S. 2016. Biofuels policy in Indonesia: Overview and status report. Washington, DC: International Council on Clean Transportation.Google Scholar
Kittner, N., Dimco, H., Azemi, V., Tairyan, E. and Kammen, D. M. 2016. An analytic framework to assess future electricity options in Kosovo. Environmental Research Letters 11(10):104013.Google Scholar
Kittner, N., Fadadu, R. P., Buckley, H. L., Schwarzman, M. R. and Kammen, D. M. 2018. Trace metal content of coal exacerbates air-pollution-related health risks: The case of lignite coal in Kosovo. Environmental Science & Technology 52(4):2359–67. doi:10.1021/acs.est.7b04254.Google Scholar
Kittner, N., Lill, F. and Kammen, D. M. 2017. Energy storage deployment and innovation for the clean energy transition. Nature Energy 2(9):17125.Google Scholar
Laurance, W. F., Sayer, J. and Cassman, K. G. 2014. Agricultural expansion and its impacts on tropical nature. Trends in Ecology & Evolution 29:107–16.Google Scholar
Leach, G. and Mearns, R. 1988. Beyond the woodfuel crisis: People, land, and trees in Africa. London: Earthscan.Google Scholar
Lewis, J. J. and Pattanayak, S. K. 2012. Who adopts improved fuels and cookstoves? A systematic review. Environmental Health Perspectives 120(5):637–45. doi:10.1289/ehp.1104194.Google Scholar
Masera, O., Ghilardi, A., Drigo, R. and Trossero, M. A. 2006. WISDOM: A GIS-based supply demand mapping tool for woodfuel management. Biomass and Bioenergy 30(7):618–37. doi:10.1016/j.biombioe.2006.01.006.Google Scholar
Masera, O. R. and Navia, J. 1997. Fuel switching or multiple cooking fuels? Understanding inter-fuel substitution patterns in rural Mexican households. Biomass and Bioenergy 12(5):347–61. doi:10.1016/S0961-9534(96)00075-X.Google Scholar
Masera, O. R., Saatkamp, B. D. and Kammen, D. M. 2000. From linear fuel switching to multiple cooking strategies: A critique and alternative to the energy ladder model. World Development 28(12):2083–103. doi:10.1016/S0305-750X(00)00076-0.Google Scholar
Mayaux, P., Pekel, J. F., Desclee, B. et al. 2013. State and evolution of the African rainforests between 1990 and 2010. Philosophical Transactions of the Royal Society B: Biological Sciences 368(1625):110.Google Scholar
McBride, A. C., Dale, V. H. Baskaran, L. M. et al.2011. Indicators to support environmental sustainability of bioenergy systems. Ecological Indicators 11:1277–89.CrossRefGoogle Scholar
Mentis, D., Howells, M., Rogner, H. et al. 2017. Lighting the world: The first application of an open source, spatial electrification tool (OnSSETT) on sub-Saharan Africa. Environmental Research Letters 12:085003.Google Scholar
Munro, P., van der Horst, G. and Healy, S. 2017. Energy justice for all? Rethinking Sustainable Development Goal 7 through struggles over traditional energy practices in Sierra Leone. Energy Policy 105:635–41.Google Scholar
Nansaior, A., Patanothai, A., Rambo, A. T. and Simaraks, S. 2011. Climbing the energy ladder or diversifying energy sources? The continuing importance of household use of biomass energy in urbanizing communities in Northeast Thailand. Biomass and Bioenergy 35(10):4180–8. doi:10.1016/j.biombioe.2011.06.046.Google Scholar
Naylor, R. and Higgins, M. 2017. The political economy of biodiesel in an era of low oil prices. Renewable and Sustainable Energy Reviews 77:695705.Google Scholar
Nurfatriani, F., Ramawati, , Sari, G. K. and Komarudin, H. 2018. Optimalisasi Dana Sawit dan Pengaturan Instrumen Fiskal Penggunaan Lahan Hutan untuk Perkebunan dalam Upaya Mengurangi Deforestasi. Working Paper No. 238. Bogor, Indonesia: CIFOR.Google Scholar
Obidzinski, K., Andriani, R., Komarudin, H. and Andrianto, A. 2012. Environmental and social impacts of oil palm plantations and their implications for biofuel production in Indonesia. Ecology and Society 17(1):25.Google Scholar
O’Brien, C. 2006. Introducing alcohol stoves to refugee communities; a case study from Kebrebeyah, Ethiopia. Boiling Point 52:1618.Google Scholar
Oluwafemi, O., Oluwatofunmi, O. O., Godson, A. A. and Olopade, C. O. 2012. Indoor air pollution from biomass fuels: A major health hazard in developing countries. Journal of Public Health 20:565–75.Google Scholar
Pradhan, S. and Ruysenaar, S. 2014. Burning desires: Untangling and interpreting ‘pro-poor’ biofuel policy processes in India and South Africa. Environmental Planning 46:299317.Google Scholar
Räsänen, T. A., Varis, O., Scherer, L. and Kummu, M. 2018. Greenhouse gas emissions of hydropower in the Mekong River Basin. Environmental Research Letters 13(3):034030.Google Scholar
Rehfuess, E. A., Briggs, D. J., Joffe, M. and Best, N. 2010. Bayesian modelling of household solid fuel use: Insights towards designing effective interventions to promote fuel switching in Africa. Environmental Research Letters 110(7):725–32. doi:10.1016/j.envres.2010.07.006.Google Scholar
REN21 (Renewable Energy Policy Network for the 21st Century) 2010. Renewables 2010 Global Status Report Paris: REN21 Secretariat. Available at: www.ren21.net/ (Accessed 13 March 2019).Google Scholar
REN21 2017. Renewables 2017 Global Status Report. Paris: REN21 Secretariat. Available at: www.ren21.net/ (Accessed 13 March 2019).Google Scholar
REN21 2018. Renewables 2018 Global Status Report. Paris: REN21 Secretariat. Available at: www.ren21.net/ (Accessed 13 March 2019).Google Scholar
Reubens, B., Achten, W. M. J., Maes, W. H. et al. 2011. More than biofuel? Jatropha curcas root system symmetry and potential for soil erosion control. Journal of Arid Environments 75:201–5.Google Scholar
Riahi, K., Dentener, F., Gielen, D., et al. 2012. Energy pathways for sustainable development. In Global energy assessment – Toward a sustainable future. Vienna: International Institute for Applied Systems Analysis, and Cambridge: Cambridge University Press, pp. 1203–6.Google Scholar
Romijn, H., Heijnen, S., Colthoff, J. R., Jong, B. and Van Eijck, J. 2014. Economic and social sustainability performance of jatropha projects: Results from field surveys in Mozambique, Tanzania and Mali. Sustainability 6(9):6203–35.Google Scholar
Sanchez, D. L., Nelson, J. H., Johnston, J., Mileva, A. and Kammen, D. M. 2015. Biomass enables the transition to a carbon-negative power system across western North America. Nature Climate Change 5(3):230.Google Scholar
Scarlat, N. and Dallemand, J. F. 2011. Recent developments of biofuels/bioenergy sustainability certification: A global overview. Energy Policy 39(3):1630–46.Google Scholar
Searchinger, T. D., Beringer, T., Bjart Holtsmark, D. M. et al. 2018. Europe’s renewable energy directive poised to harm global forests. Nature Communications 9(1). doi:10.1038/s41467-018-06175-4.Google Scholar
Sedjo, R. A. 2011. Carbon neutrality and bioenergy: A zero-sum game? Resources for the Future Discussion Paper No. 11–15. Washington, DC: Resources for the Future.Google Scholar
Singh, G., Rawat, G. S. and Verma, D. 2010. Comparative study of fuelwood consumption by villagers and seasonal ‘Dhaba owners’ in the tourist affected regions of Garhwal Himalaya, India. Energy Policy 38(4):1895–9.Google Scholar
Skutsch, M., de los Rios, E., Solis, S. et al. 2011.Jatropha in Mexico: Environmental and social impacts of an incipient biofuel program. Ecology and Society 16(4):1138.Google Scholar
Smeets, E. M. W. and Faaij, A. P. C. 2007. Bioenergy potentials from forestry in 2050. Climatic Change 81(3):353–90. doi:10.1007/s10584-006-9163-x.Google Scholar
Smith, K. R., Bruce, N., Balakrishnan, K. et al. 2014a. HAP CRA Risk Expert Group. Millions dead: How do we know and what does it mean? Methods used in the comparative risk assessment of household air pollution. Annual Review of Public Health 35:185206.Google Scholar
Smith, P., Bustamante, M., Ahammad, H. et al. 2014b. Agriculture, forestry and other land use (AFOLU). In Edenhofer, O., Pichs-Madruga, R. and Sokona, Y. et al. (eds.) Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, pp. 811922.Google Scholar
Sonter, L. J., Barrett, D. J., Moran, C. J. and Soares-Filho, B. S. 2015. Carbon emissions due to deforestation for the production of charcoal used in Brazil’s steel industry. Nature Climate Change 5(4):359.Google Scholar
Soto, I., Achten, W. M. J., Muys, B. and Mathijs, E. 2015. Who benefits from energy policy incentives? The case of jatropha adoption by smallholders in Mexico. Energy Policy 79:3747.Google Scholar
Soto, I., Ellison, C., Kenis, M. et al. 2018. Why do farmers abandon jatropha cultivation? The case of Chiapas, Mexico. Energy for Sustainable Development 42:7786.Google Scholar
Thulstruo, A. W., Habimana, D., Joshi, I. and Oduori, S. M. 2018. Uncovering the challenges of domestic energy access in the context of weather and climate extremes in Somalia. Weather and Climate Extremes XX:1000185.Google Scholar
United Nations (UN) 2015. Sustainable Development Goal 7. Available at: http://sustainabledevelopment.un.org/sdg7 (Accessed 27 July 2019).Google Scholar
UN DESA (United Nations, Department of Social Affairs, Population Division) 2015. World population prospects: The 2015 revision, key findings and advanced tables. Working Paper No. ESA/P/WP.241. New York: United Nations.Google Scholar
UNESCAP (United Nations Economic and Social Commission for Asia and the Pacific) 2017. Asia-Pacific progress in sustainable energy: A global tracking framework 2017 regional assessment report. Bangkok: UNESCAP.Google Scholar
Valdés-Rodríguez, O., Pérez-Vázquez, A. and Muñoz Gamboa, C. 2014. Drivers and consequences of the first Jatropha curcas plantations in Mexico. Sustainability 6:3732–46.Google Scholar
van Eijck, J., Romijn, H., Smeets, E. et al. 2013. Comparative analysis of key socio-economic and environmental impacts of smallholder and plantation based production based jatropha biofuel production systems in Tanzania. Biomass and Bioenergy 61:2545.Google Scholar
von Maltitz, G. and Setzkorn, K. 2012. Potential impacts of biofuels on deforestation in Southern Africa. Journal of Sustainable Forestry 31(1–2):8097. doi:10.1080/10549811.2011.566114.Google Scholar
Wani, S. P., Chander, G., Sahrawat, K. L. et al. 2012. Carbon sequestration and land rehabilitation through Jatropha curcas plantation in degraded lands. Agriculture, Ecosystems and Environment 161:112–20.CrossRefGoogle Scholar
WHO (World Health Organization) 2016. Burning opportunity: Clean household energy for health, sustainable development, and wellbeing of women and children. Geneva: WHO.Google Scholar
Winemiller, K. O., McIntyre, P. B., Castello, L. et al. 2016. Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science 351(6269):128–9. doi:10.1126/science.aac7082.Google Scholar
Wright, T. and Rahmanulloh, A. 2017. Indonesia biofuel annual report 2017. Foreign Agricultural Service Global Agricultural Information Network No ID1619. Gain Report. Jakarta: USDA Foreign Agricultural Service.Google Scholar
Wu, M., Zhang, Z. and Chiu, Y. W. 2014. Life-cycle water quantity and water quality implications of biofuels. Current Sustainable/Renewable Energy Reports 1:310.Google Scholar
Yang, F. and Yang, M. 2017. Rural electrification in sub-Saharan Africa with innovative energy policy and new financing models. Mitigation and Adaption Strategies for Global Change 23(6):933–52.Google Scholar
Zarfl, C., Lumsdon, A. E., Berlekamp, J., Tydecks, L. and Tockner, K. 2015. A global boom in hydropower dam construction. Aquatic Sciences 77(1):161–70.CrossRefGoogle Scholar
Figure 0

Table 7.1 SDG 7 targets for 2030

Source: Adapted from United Nations 2015
Figure 1

Table 7.2 Forest-based energy pathways

Figure 2

Table 7.3 Trade-offs and synergies between fulfilling SDG 7 and other SDGs

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@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
×