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Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality

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  • Jingyu Ji

    (School of Data Science, Fudan University, Shanghai 200433, China)

  • Hang Lin

    (Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA)

Abstract

This paper proposes a novel regional carbon emission inequality (RCI) index based on a special kind of general distribution. Using the proposed RCI index and based on China’s county-level panel data over the time span of 1997–2017, the regional carbon emission inequality of China is evaluated at intra-provincial, sub-national, and national levels. Based on that, the dependence between regional carbon inequality and carbon efficiency is studied by using copula functions and nonlinear dependence measures. The empirical results show that: (1) Shanghai, Tianjin, and Inner Mongolia have the worst carbon inequalities; while Hainan, Qinghai, and Jiangxi are the three most carbon-equal provinces; (2) there is a divergence phenomenon in RCI values of municipalities over the past decade; (3) from the national-level perspective, the inter-provincial carbon emission inequality is much greater than that at the intra-provincial level; (4) from the sub-national-level perspective, the east region has the highest RCI value, followed by the northeast, west, and the central regions; (5) there is a so-called "efficiency-equality (E-E) trade-off" in each provincial administrative unit, meaning that the higher carbon efficiency generally comes with higher carbon inequality, i.e., carbon efficiency comes at a price of carbon inequality; and (6) by re-grouping provincial units via the efficiency-equality cost and industrial structure, respectively, both carbon equality and carbon efficiency can be achieved in some regions simultaneously, thereby getting out of the “E-E trade-off” dilemma. The empirical evidence may provide valuable insight regarding the topic of “equality and efficiency” in environmental economics, and offer policy implications for regional economic planning and coordination.

Suggested Citation

  • Jingyu Ji & Hang Lin, 2022. "Evaluating Regional Carbon Inequality and Its Dependence with Carbon Efficiency: Implications for Carbon Neutrality," Energies, MDPI, vol. 15(19), pages 1-35, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7022-:d:924228
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    as
    1. Liang DONG & Gaoyi MIAO & Weigang WEN, 2021. "China’s Carbon Neutrality Policy: Objectives, Impacts and Paths," East Asian Policy (EAP), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 5-18, January.
    2. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    3. Fang Zhang & Zhengjun Zhang, 2020. "The tail dependence of the carbon markets: The implication of portfolio management," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    4. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    5. Duro, Juan Antonio, 2012. "On the automatic application of inequality indexes in the analysis of the international distribution of environmental indicators," Ecological Economics, Elsevier, vol. 76(C), pages 1-7.
    6. Francesco Calza & Adele Parmentola & Ilaria Tutore, 2017. "Types of Green Innovations: Ways of Implementation in a Non-Green Industry," Sustainability, MDPI, vol. 9(8), pages 1-16, July.
    7. Berkowitz, Daniel & DeJong, David N., 2003. "Regional integration: an empirical assessment of Russia," Journal of Urban Economics, Elsevier, vol. 53(3), pages 541-559, May.
    8. Kumar, Saten & Sen, Rahul & Srivastava, Sadhana, 2014. "Does economic integration stimulate capital mobility? An analysis of four regional economic communities in Africa," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 33-50.
    9. He, Weijun & Wang, Bo & Danish, & Wang, Zhaohua, 2018. "Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data," Energy Economics, Elsevier, vol. 74(C), pages 263-274.
    10. Gozgor, Giray & Tiwari, Aviral Kumar & Khraief, Naceur & Shahbaz, Muhammad, 2019. "Dependence structure between business cycles and CO2 emissions in the U.S.: Evidence from the time-varying Markov-Switching Copula models," Energy, Elsevier, vol. 188(C).
    11. Padilla, Emilio & Duro, Juan Antonio, 2013. "Explanatory factors of CO2 per capita emission inequality in the European Union," Energy Policy, Elsevier, vol. 62(C), pages 1320-1328.
    12. Wang, Shaojian & Wang, Jieyu & Fang, Chuanglin & Feng, Kuishuang, 2019. "Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis," Applied Energy, Elsevier, vol. 254(C).
    13. 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).
    14. Liyuan Zhang & Xiang Ma & Young-Seok Ock & Lingli Qing, 2022. "Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition," Land, MDPI, vol. 11(1), pages 1-20, January.
    15. Wang, Bin & Yu, Minxiu & Zhu, Yucheng & Bao, Pinjuan, 2021. "Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective," Energy Policy, Elsevier, vol. 158(C).
    16. Michele Caivano & Andrew Harvey, 2014. "Time-series models with an EGB2 conditional distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(6), pages 558-571, November.
    17. Xu, Guangyue & Dong, Haoyun & Xu, Zhenci & Bhattarai, Nishan, 2022. "China can reach carbon neutrality before 2050 by improving economic development quality," Energy, Elsevier, vol. 243(C).
    18. Weizhong Zhou & Wenhua Yu & Ahmed Farouk, 2021. "Regional Variation in the Carbon Dioxide Emission Efficiency of Construction Industry in China: Based on the Three-Stage DEA Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-13, August.
    19. Yuanying Chi & Zerun Liu & Xu Wang & Yangyi Zhang & Fang Wei, 2021. "Provincial CO 2 Emission Measurement and Analysis of the Construction Industry under China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    20. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    21. Xu, Xinpeng & Voon, J. P., 2003. "Regional integration in China: a statistical model," Economics Letters, Elsevier, vol. 79(1), pages 35-42, April.
    22. McDonald, James B. & Xu, Yexiao J., 1995. "A generalization of the beta distribution with applications," Journal of Econometrics, Elsevier, vol. 69(2), pages 427-428, October.
    23. Wei Cui & Anwei Wan & Fangkun Xin & Qingyang Li, 2021. "How Does Carbon Emission Reduction Efficiency Affect Regional Income Inequality? The Mediator Effect of Interregional Labor Flow," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-14, March.
    24. Lingli Qing & Dongphil Chun & Abd Alwahed Dagestani & Peng Li, 2022. "Does Proactive Green Technology Innovation Improve Financial Performance? Evidence from Listed Companies with Semiconductor Concepts Stock in China," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    25. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    26. Sean C. Kerman & James B. McDonald, 2015. "Skewness-Kurtosis Bounds for EGB1, EGB2, and Special Cases," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 44(18), pages 3857-3864, September.
    27. Niemierko, Rochus & Töppel, Jannick & Tränkler, Timm, 2019. "A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data," Applied Energy, Elsevier, vol. 233, pages 691-708.
    28. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    29. Huan Zhang, 2021. "Technology Innovation, Economic Growth and Carbon Emissions in the Context of Carbon Neutrality: Evidence from BRICS," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    30. Cui, Qiurong & Xu, Yuqing & Zhang, Zhengjun & Chan, Vincent, 2021. "Max-linear regression models with regularization," Journal of Econometrics, Elsevier, vol. 222(1), pages 579-600.
    31. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    32. Pan, An & Zhang, Wenna & Shi, Xunpeng & Dai, Ling, 2022. "Climate policy and low-carbon innovation: Evidence from low-carbon city pilots in China," Energy Economics, Elsevier, vol. 112(C).
    33. Xiao Zhang & Meng Li & Qiao Li & Yanan Wang & Wei Chen, 2021. "Spatial Threshold Effect of Industrial Land Use Efficiency on Industrial Carbon Emissions: A Case Study in China," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    34. Lin, Hang & Zhang, Zhengjun, 2022. "Extreme co-movements between infectious disease events and crude oil futures prices: From extreme value analysis perspective," Energy Economics, Elsevier, vol. 110(C).
    35. Yanming Sun & Shixian Liu & Lei Li, 2022. "Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality," Energies, MDPI, vol. 15(9), pages 1-24, April.
    36. Xi Zhang & Jiayu Zheng & Ligang Wang, 2022. "Can the Relationship between Atmospheric Environmental Quality and Urban Industrial Structure Adjustment Achieve Green and Sustainable Development in China? A Case of Taiyuan City," Energies, MDPI, vol. 15(9), pages 1-17, May.
    37. Tian, Jinfang & Yu, Longguang & Xue, Rui & Zhuang, Shan & Shan, Yuli, 2022. "Global low-carbon energy transition in the post-COVID-19 era," Applied Energy, Elsevier, vol. 307(C).
    38. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    39. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
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