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The socioeconomic and environmental impacts of wood energy value chains in Sub-Saharan Africa: a systematic map protocol

handle: 2262/81575 , 10568/94156
Abstract Background The vast majority of households in Sub-Saharan Africa (SSA) depend on wood energy—comprising firewood and charcoal—for their daily energetic needs. Such consumption trends are expected to remain a common feature of SSA’s wood energy production and supply chains, at least in the short- to medium-terms. Notwithstanding its importance, wood energy generally has low priority in SSA national policies. However, the use of wood energy is often considered a key driver of unsustainable management and negative environmental consequences in the humid and dry forests. To date, unsystematic assessments of the socio-economic and environmental consequences of wood energy use have underplayed its significance, thus further hampering policy debates. Therefore, a more balanced approach which considers both demand and supply dynamics is needed. This systematic map aims at providing a comprehensive approach to understanding the role and impacts of wood energy across all regions and aspects in SSA. Methods The objective of this systematic map is to collate evidence from studies of environmental and socio-economic impacts of wood energy value chains, by considering both demand and supply within SSA. The map questions are framed using a Populations, Exposure, Comparators and Outcomes (PECO) approach. We name the supply and demand of wood energy as the “exposure,” composed of wood energy production, harvesting, processing, and consumption. The populations of interest include both the actors involved in these activities and the forest sites where these activities occur. The comparator is defined as those cases where the same wood energy activities occur with i) available/accessible alternative energy sources, ii) regulatory frameworks that govern the sector and iii) alternative technologies for efficient use. The outcomes of interest encompass both socioeconomic and environmental impacts that can affect more than the populations named above. For instance, in addition to the direct socioeconomic impacts felt by participants in the wood energy value chain, forest dwellers may experience livelihood changes due to forest degradation caused by external harvesters. Moreover, intensified deforestation in one area may concurrently lead to forest regeneration in another.
- CGIAR Consortium France
- CGIAR France
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement France
- James Hutton Institute United Kingdom
- Trinity College Dublin Ireland
Renewable energy, P06 - Sources d'énergie renouvelable, Economics, Macroeconomics, forêt tropicale, Energy supply, Forests, Population rurale, systematic review, Natural resource economics, Sociology, FORESTS, Value chains, K01 - Foresterie - Considérations générales, pollution, Bioenergy, Business, Production (economics), Charbon de bois, Environmental resource management, Marketing, Global and Planetary Change, Sub-Saharan Africa, Ecology, Geography, Statistics, Woodfuel, Wood energy, Woodfuel, Charcoal, Firewood, Value chains, Forests, Woodlands, Sub-Saharan Africa, Social science, Pollution, FOS: Sociology, Consumption (sociology), Archaeology, Charcoal, Physical Sciences, ecology, Woodlands, SOCIOECONOMIC, wood, energy, E50 - Sociologie rurale et sécurité sociale, gestion des ressources naturelles, environmental impact, Firewood, 333, Environmental science, FOS: Economics and business, Bois, socioeconomics, Energy Poverty, Wood energy, Smart & Sustainable Planet, Indoor Air Pollution in Developing Countries, FOS: Mathematics, K70 - Dégâts causés aux forêts et leur protection, Consommation d'énergie, Biology, bois de chauffage, Impact sur l'environnement, Environmental impact assessment, Analyse économique, Supply chain, Déboisement, Energy consumption, Impact of Oil Palm Expansion on Biodiversity, FOS: Biological sciences, Environmental Science, E14 - Economie et politique du développement, Energy (signal processing), Drivers and Impacts of Tropical Deforestation, Mathematics, agrovoc: agrovoc:c_9000115, agrovoc: agrovoc:c_8421, agrovoc: agrovoc:c_3137, agrovoc: agrovoc:c_24904, agrovoc: agrovoc:c_1503, agrovoc: agrovoc:c_166, agrovoc: agrovoc:c_24420, agrovoc: agrovoc:c_15590, agrovoc: agrovoc:c_16121, agrovoc: agrovoc:c_6705, agrovoc: agrovoc:c_2469
Renewable energy, P06 - Sources d'énergie renouvelable, Economics, Macroeconomics, forêt tropicale, Energy supply, Forests, Population rurale, systematic review, Natural resource economics, Sociology, FORESTS, Value chains, K01 - Foresterie - Considérations générales, pollution, Bioenergy, Business, Production (economics), Charbon de bois, Environmental resource management, Marketing, Global and Planetary Change, Sub-Saharan Africa, Ecology, Geography, Statistics, Woodfuel, Wood energy, Woodfuel, Charcoal, Firewood, Value chains, Forests, Woodlands, Sub-Saharan Africa, Social science, Pollution, FOS: Sociology, Consumption (sociology), Archaeology, Charcoal, Physical Sciences, ecology, Woodlands, SOCIOECONOMIC, wood, energy, E50 - Sociologie rurale et sécurité sociale, gestion des ressources naturelles, environmental impact, Firewood, 333, Environmental science, FOS: Economics and business, Bois, socioeconomics, Energy Poverty, Wood energy, Smart & Sustainable Planet, Indoor Air Pollution in Developing Countries, FOS: Mathematics, K70 - Dégâts causés aux forêts et leur protection, Consommation d'énergie, Biology, bois de chauffage, Impact sur l'environnement, Environmental impact assessment, Analyse économique, Supply chain, Déboisement, Energy consumption, Impact of Oil Palm Expansion on Biodiversity, FOS: Biological sciences, Environmental Science, E14 - Economie et politique du développement, Energy (signal processing), Drivers and Impacts of Tropical Deforestation, Mathematics, agrovoc: agrovoc:c_9000115, agrovoc: agrovoc:c_8421, agrovoc: agrovoc:c_3137, agrovoc: agrovoc:c_24904, agrovoc: agrovoc:c_1503, agrovoc: agrovoc:c_166, agrovoc: agrovoc:c_24420, agrovoc: agrovoc:c_15590, agrovoc: agrovoc:c_16121, agrovoc: agrovoc:c_6705, agrovoc: agrovoc:c_2469
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).38 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
