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Decomposing Inequality in CO2 Emissions: the Role of Primary Energy Carriers and Economic Sectors

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  • Grunewald, Nicole
  • Jakob, Michael
  • Mouratiadou, Ioanna

Abstract

Emission inequality across countries and the contribution of the energy mix and the sectoral composition of a country s energy use are of central importance to the climate debate. We analyze the evolution of inequality in global CO2 per capita emissions using both historical data on energy-related CO2 emissions and future emission scenarios generated with the integrated assessment model REMIND. Within our sample of 90 countries the results indicate that the Gini index declined from about 0.6 in 1971 to slightly above 0.4 in 2008. A decomposition of the Gini index of total emissions into primary energy carriers and into economic sectors provides additional insights. From the perspective of primary energy carriers, it is indicated that this reduction is mainly attributed to declining shares of emissions from coal/peat and oil in total emissions, and decreasing emission inequality within all fossil primary energy sources. From the perspective of economic sectors, the decline in overall inequality is almost entirely due to a pronounced decline of the contribution of emissions from manufacturing & construction. Our analysis also suggests that an equally spread emission reduction from any one source (i.e. primary energy carrier or economic sector) would not have a major impact on overall emission inequality. The analysis of future scenario data indicates that climate policy reduces absolute emissions inequality, while inducing drastic progressive emission reductions in all regions

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  • Grunewald, Nicole & Jakob, Michael & Mouratiadou, Ioanna, 2013. "Decomposing Inequality in CO2 Emissions: the Role of Primary Energy Carriers and Economic Sectors," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79779, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc13:79779
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    Cited by:

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    2. Cheng, Shulei & Fan, Wei & Zhang, Jian & Wang, Ning & Meng, Fanxin & Liu, Gengyuan, 2021. "Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities," Energy, Elsevier, vol. 214(C).
    3. Wanbei Jiang & Weidong Liu, 2020. "Provincial-Level CO 2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    4. Meishu Wang & Hui Gong, 2018. "Imbalanced Development and Economic Burden for Urban and Rural Wastewater Treatment in China—Discharge Limit Legislation," Sustainability, MDPI, vol. 10(8), pages 1-12, July.
    5. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2017. "Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption," Energy Policy, Elsevier, vol. 107(C), pages 698-710.
    6. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    7. Chenxu Liu & Ruien Tang & Yaqi Guo & Yuhan Sun & Xinyi Liu, 2022. "Research on the Structure of Carbon Emission Efficiency and Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    8. Xintao Li & Dong Feng & Jian Li & Zaisheng Zhang, 2019. "Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    9. Wang, Shaojian & Fang, Chuanglin & Wang, Yang, 2016. "Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 505-515.
    10. Mussini, Mauro, 2020. "Inequality and convergence in energy intensity in the European Union," Applied Energy, Elsevier, vol. 261(C).
    11. Caspar Sauter & Jean-Marie Grether & Nicole A. Mathys, 2015. "Geographical Spread of Global Emissions: Within-country Inequalities Are Increasing," IRENE Working Papers 15-01, IRENE Institute of Economic Research.
    12. 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).
    13. Xiaofei Han & Jianling Jiao & Lancui Liu & Lanlan Li, 2017. "China’s energy demand and carbon dioxide emissions: do carbon emission reduction paths matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1333-1345, April.
    14. Wu, Shimei & Chen, Zhan-Ming, 2023. "Carbon inequality in China: Evidence from city-level data," China Economic Review, Elsevier, vol. 78(C).
    15. Rongrong Li & Xue-Ting Jiang, 2017. "Inequality of Carbon Intensity: Empirical Analysis of China 2000–2014," Sustainability, MDPI, vol. 9(5), pages 1-12, April.
    16. Jingjing Qu & Aijun Li & Morié Guy-Roland N’Drin, 2023. "Measuring technology inequality across African countries using the concept of efficiency Gini coefficient," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4107-4138, May.
    17. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    18. Guo, Ji & Zhao, Mengke & Wu, Xianhua & Shi, Beibei & Santibanez Gonzalez, Ernesto D.R., 2021. "Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model," Ecological Economics, Elsevier, vol. 183(C).
    19. Xu, Xinkuo & Han, Liyan & Lv, Xiaofeng, 2016. "Household carbon inequality in urban China, its sources and determinants," Ecological Economics, Elsevier, vol. 128(C), pages 77-86.
    20. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    21. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).

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    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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