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Competing land uses and fossil fuel, and optimal energy conversion rates during the transition toward a green economy under a pollution stock constraint

Author

Listed:
  • Jean-Pierre Amigues

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

  • Michel Moreaux

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

Abstract

We study the transition to a carbon-free economy in a model with a polluting non-renewable resource and a clean renewable resource. Transforming primary energy into ready-to-use energy services is costly and more efficient energy transformation rates are more costly to achieve. Renewable energy competes with food production for land and the food productivity of land can be improved at some cost. To avoid catastrophic climate damages, the pollution stock is mandated to stay below a given cap. When the economy is not constrained by the cap, the efficiency of energy transformation increases steadily until the transition toward the ultimate green economy; when renewable energy is exploited, its land use rises at the expense of food production; food productivity increases together with the land rent but food production drops; the food and energy prices increase and renewables substitute for non-renewable energy. During the constrained phase, the economy follows a constant path of prices, quantities, efficiency rates, food productivity and land rent, a phenomenon we call the ‘ceiling efficiency paradox'.

Suggested Citation

  • Jean-Pierre Amigues & Michel Moreaux, 2019. "Competing land uses and fossil fuel, and optimal energy conversion rates during the transition toward a green economy under a pollution stock constraint," Post-Print hal-02570837, HAL.
  • Handle: RePEc:hal:journl:hal-02570837
    DOI: 10.1016/j.jeem.2019.03.006
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    Cited by:

    1. Jiang Du & Mengqin Zhao & Ming Zeng & Kezhen Han & Huaping Sun, 2020. "Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    2. Jin, Peizhen & Wang, Siyu & Yin, Desheng & Zhang, Hang, 2023. "Environmental institutional supply that shapes a green economy: Evidence from Chinese cities," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    4. Lindong Ma & Yuanxiao Hong & Xihui Chen, 2022. "Can Green Economy and Ecological Welfare Achieve Synergistic Development? The Perspective of the “Two Mountains” Theory," IJERPH, MDPI, vol. 19(11), pages 1-24, May.
    5. Rendao Ye & Yue Qi & Wenyan Zhu, 2023. "Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    6. Xiaorong He & Jizhi Shi & Haichao Xu & Chaoyue Cai & Qiangsheng Hu, 2022. "Tourism Development, Carbon Emission Intensity and Urban Green Economic Efficiency from the Perspective of Spatial Effects," Energies, MDPI, vol. 15(20), pages 1-23, October.
    7. Ma, Li & Long, Hualou & Tu, Shuangshuang & Zhang, Yingnan & Zheng, Yuhan, 2020. "Farmland transition in China and its policy implications," Land Use Policy, Elsevier, vol. 92(C).
    8. Yanay Farja & Mariusz Maciejczak, 2021. "Economic Implications of Agricultural Land Conversion to Solar Power Production," Energies, MDPI, vol. 14(19), pages 1-15, September.
    9. Javaid, Usman & Mehmood, Adeel & Iqbal, Jamshed & Uppal, Ali Arshad, 2023. "Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies," Energy, Elsevier, vol. 269(C).
    10. Zhang, Hongyan & Zhang, Lin, 2023. "Public support and energy innovation: Why do firms react differently?," Energy Economics, Elsevier, vol. 119(C).
    11. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    12. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.

    More about this item

    Keywords

    Energy efficiency; Carbon pollution; Non-renewable resources; Renewable resources; Land uses;
    All these keywords.

    JEL classification:

    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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