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Income-generating Effects of Biofuel Policies: A Meta-analysis of the CGE Literature

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  • Choumert Nkolo, Johanna
  • Combes Motel, Pascale
  • Guegang Djimeli, Charlain

Abstract

While the production of biofuels has expanded in recent years, findings in the literature on its impact on economic growth and development remain contradictory. This paper presents a meta-analysis of computable general equilibrium (CGE) studies published between 2006 and 2017 on the effect of biofuel production on economic development worldwide. Using 30 CGE studies, we found that biofuel-supportive policies generated significant impacts on GDP and household incomes. CGE studies included in our database reported an average 0.25 percentage point increase in GDP and a 0.49 percentage point increase in household incomes. We also found that results were driven by several key features of the CGE studies included in our database. We investigated features such as biofuel type, geographic area, and characteristics of the CGE models employed. We found that biofuel expansion has heterogeneous effects in developed versus emerging countries. Simulations on longer time periods and in multi-country studies led to results that indicate higher impacts of biofuel expansion on GDP growth and household incomes. Moreover, simulations with an increase in agricultural productivity indicate positive welfare impact gains, unlike simulations with land expansion. Lastly, we found that biodiesel development leads to higher welfare impact gains than that of bioethanol.

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  • Choumert Nkolo, Johanna & Combes Motel, Pascale & Guegang Djimeli, Charlain, 2018. "Income-generating Effects of Biofuel Policies: A Meta-analysis of the CGE Literature," Ecological Economics, Elsevier, vol. 147(C), pages 230-242.
  • Handle: RePEc:eee:ecolec:v:147:y:2018:i:c:p:230-242
    DOI: 10.1016/j.ecolecon.2018.01.025
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    2. Chiaramonti, David & Goumas, Theodor, 2019. "Impacts on industrial-scale market deployment of advanced biofuels and recycled carbon fuels from the EU Renewable Energy Directive II," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Lechón, Y. & de la Rúa, C. & Rodríguez, I. & Caldés, N., 2019. "Socioeconomic implications of biofuels deployment through an Input-Output approach. A case study in Uruguay," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 178-191.
    4. Dzyuba, Yu. & Bakalova, I., 2023. "CGE models for resource-based economy: A comprehensive bibliometric analysis," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 12-50.
    5. Araghi, Mansour Khalili & Barkhordari, Sajjad & Hassannia, Razeih, 2023. "Economic impacts of producing bioethanol in Iran: A CGE approach," Energy, Elsevier, vol. 263(PC).
    6. Jiang, Changmin & Yang, Hangjun, 2021. "Carbon tax or sustainable aviation fuel quota," Energy Economics, Elsevier, vol. 103(C).
    7. Qu, Yang & Hooper, Tara & Swales, J. Kim & Papathanasopoulou, Eleni & Austen, Melanie C. & Yan, Xiaoyu, 2021. "Energy-food nexus in the marine environment: A macroeconomic analysis on offshore wind energy and seafood production in Scotland," Energy Policy, Elsevier, vol. 149(C).
    8. Yan, Dan & Liu, Litao & Li, Jinkai & Wu, Jiaqian & Qin, Wei & Werners, Saskia E., 2021. "Are the planning targets of liquid biofuel development achievable in China under climate change?," Agricultural Systems, Elsevier, vol. 186(C).
    9. Brinkman, Marnix L.J. & Wicke, Birka & Faaij, André P.C. & van der Hilst, Floor, 2019. "Projecting socio-economic impacts of bioenergy: Current status and limitations of ex-ante quantification methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    10. Jonas Zetterholm & Elina Bryngemark & Johan Ahlström & Patrik Söderholm & Simon Harvey & Elisabeth Wetterlund, 2020. "Economic Evaluation of Large-Scale Biorefinery Deployment: A Framework Integrating Dynamic Biomass Market and Techno-Economic Models," Sustainability, MDPI, vol. 12(17), pages 1-28, September.
    11. Weng, Yuwei & Cai, Wenjia & Wang, Can, 2021. "Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060," Applied Energy, Elsevier, vol. 299(C).
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    More about this item

    Keywords

    Biofuel policies; Income generation; Meta-regression; Computable general equilibrium models;
    All these keywords.

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models

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