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Historical Evolution of Global Inequality in Carbon Emissions and Footprints versus Redistributive Scenarios

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  • Gregor Semieniuk
  • Victor M. Yakovenko

Abstract

Ambitious scenarios of carbon emission redistribution for mitigating climate change in line with the Paris Agreement and reaching the sustainable development goal of eradicating poverty have been proposed recently. They imply a strong reduction in carbon footprint inequality by 2030 that effectively halves the Gini coefficient to about 0.25. This paper examines feasibility of these scenarios by analyzing the historical evolution of both weighted international inequality in CO2 emissions attributed territorially and global inequality in carbon footprints attributed to end consumers. For the latter, a new dataset is constructed that is more comprehensive than existing ones. In both cases, we find a decreasing trend in global inequality, partially attributed to the move of China from the lower to the middle part of the distribution, with footprints more unequal than territorial emissions. These results show that realization of the redistributive scenarios would require an unprecedented reduction in global inequality far below historical levels. Moreover, the territorial emissions data, available for more recent years up to 2017, show a saturation of the decreasing Gini coefficient at a level of 0.5. This observation confirms an earlier prediction based on maximal entropy reasoning that the Lorenz curve converges to the exponential distribution. This saturation further undermines feasibility of the redistributive scenarios, which are also hindered by structural tendencies that reinforce carbon footprint inequality under global capitalism. One way out of this conundrum is a fast decarbonization of the global energy supply in order to decrease global carbon emissions without relying crucially on carbon inequality reduction.

Suggested Citation

  • Gregor Semieniuk & Victor M. Yakovenko, 2020. "Historical Evolution of Global Inequality in Carbon Emissions and Footprints versus Redistributive Scenarios," Papers 2004.00111, arXiv.org.
  • Handle: RePEc:arx:papers:2004.00111
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    Cited by:

    1. Pan, Xiongfeng & Guo, Shucen & Xu, Haitao & Tian, Mengyuan & Pan, Xianyou & Chu, Junhui, 2022. "China's carbon intensity factor decomposition and carbon emission decoupling analysis," Energy, Elsevier, vol. 239(PC).
    2. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," Working Papers halshs-03828939, HAL.
    3. Sueyoshi, Toshiyuki & Qu, Jingjing & Li, Aijun & Liu, Xiaohong, 2021. "A new approach for evaluating technology inequality and diffusion barriers: The concept of efficiency Gini coefficient and its application in Chinese provinces," Energy, Elsevier, vol. 235(C).
    4. Lucas Chancel, 2022. "Global carbon inequality over 1990–2019," Nature Sustainability, Nature, vol. 5(11), pages 931-938, November.
    5. Yanmei Li & Xin Sun & Xiushan Bai, 2022. "Differences of Carbon Emission Efficiency in the Belt and Road Initiative Countries," Energies, MDPI, vol. 15(4), pages 1-17, February.
    6. Guendalina Anzolin & Amir Lebdioui, 2021. "Three Dimensions of Green Industrial Policy in the Context of Climate Change and Sustainable Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 33(2), pages 371-405, April.
    7. Crelis F. Rammelt & Joyeeta Gupta & Diana Liverman & Joeri Scholtens & Daniel Ciobanu & Jesse F. Abrams & Xuemei Bai & Lauren Gifford & Christopher Gordon & Margot Hurlbert & Cristina Y. A. Inoue & Li, 2023. "Impacts of meeting minimum access on critical earth systems amidst the Great Inequality," Nature Sustainability, Nature, vol. 6(2), pages 212-221, February.
    8. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," PSE Working Papers halshs-03828939, HAL.
    9. Yannic Rehm & Lucas Chancel, 2022. "Measuring the Carbon Content of Wealth Evidence from France and Germany," World Inequality Lab Working Papers halshs-03828939, HAL.
    10. Cui, Xuezhu & Li, Shaoying & Gao, Feng, 2020. "Examining spatial carbon metabolism: Features, future simulation, and land-based mitigation," Ecological Modelling, Elsevier, vol. 438(C).
    11. Benedikt Bruckner & Klaus Hubacek & Yuli Shan & Honglin Zhong & Kuishuang Feng, 2022. "Impacts of poverty alleviation on national and global carbon emissions," Nature Sustainability, Nature, vol. 5(4), pages 311-320, April.

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    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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