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Trade-induced carbon-economic inequality within China: Measurement, sources, and determinants

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  • Zhu, Qingyuan
  • Xu, Chengzhen
  • Lee, Chien-Chiang

Abstract

Carbon-economic inequality (CEI) occurs due to the unequal exchange between embodied CO2 emissions and value-added in interregional trade. How to reduce CEI has become an urgent task to realize the Sustainable Development Goals. In this study, we quantify the CEI in bilateral and regional trade in China using the embodied CO2 emission and value-added during 2012–2017. Then, we analyze the drivers of CEI changes using the multiplicative structural decomposition analysis. Finally, we measure national CEI using an extended Gini coefficient and further identify the sources of inequality using the Shapley decomposition approach. The results indicate that 1) inequalities in bilateral trade mainly occur between the three north regions (North, Northwest, and Northeast) and eastern coastal regions (Beijing–Tianjin, South coast, and Central coast), and the inequalities generally exhibit worsening trends during 2012–2017. In regional trade, the Northwest suffers the worst and widening inequalities, while the Southwest has obtained an expanded advantage. 2) the decomposition results show that coal efficiency and input structure disparities are the main factors that exacerbate CEI in bilateral trade between the three north and Beijing–Tianjin/South coast regions. Improved input structure is the leader in helping the Southwest reduce CEI in bilateral and regional trade. 3) the overall CEI continues to deteriorate, with the Gini coefficient increasing from 0.260 to 0.305 during 2012–2017, where regional gap and intra-regional inequality, coal-induced CO2 emission, and the electricity production industry are the leading causes. This exacerbated CEI calling for optimizing regional trade patterns and providing holistic solutions for sustainable development.

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  • Zhu, Qingyuan & Xu, Chengzhen & Lee, Chien-Chiang, 2024. "Trade-induced carbon-economic inequality within China: Measurement, sources, and determinants," Energy Economics, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004390
    DOI: 10.1016/j.eneco.2024.107731
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    References listed on IDEAS

    as
    1. Zhang, Xiaoming & Tian, Yiming & Lee, Chien-Chiang, 2024. "Enforcement actions and systemic risk," Emerging Markets Review, Elsevier, vol. 59(C).
    2. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    3. Su, Bin & Ang, B.W., 2023. "Structural decomposition analysis applied to energy and emissions: Frameworks for monthly data," Energy Economics, Elsevier, vol. 126(C).
    4. Duan, Yuwan & Jiang, Xuemei, 2017. "Temporal Change of China's Pollution Terms of Trade and its Determinants," Ecological Economics, Elsevier, vol. 132(C), pages 31-44.
    5. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    6. Feng, Tong & Du, Huibin & Zhang, Zengkai & Mi, Zhifu & Guan, Dabo & Zuo, Jian, 2020. "Carbon transfer within China: Insights from production fragmentation," Energy Economics, Elsevier, vol. 86(C).
    7. Çekin, Semih Emre & Ivashchenko, Sergey & Gupta, Rangan & Lee, Chien-Chiang, 2024. "Real-time forecast of DSGE models with time-varying volatility in GARCH form," International Review of Financial Analysis, Elsevier, vol. 93(C).
    8. 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.
    9. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    10. Erik Dietzenbacher & Alex R. Hoen & Bart Los, 2000. "Labor Productivity in Western Europe 1975–1985: An Intercountry, Interindustry Analysis," Journal of Regional Science, Wiley Blackwell, vol. 40(3), pages 425-452, August.
    11. Zhao, Congyu & Jia, Rongwen & Dong, Kangyin, 2023. "Does financial inclusion achieve the dual dividends of narrowing carbon inequality within cities and between cities? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    12. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2022. "How does production substitution affect China's embodied carbon emissions in exports?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    13. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi & Wang, Keying, 2023. "How does green finance drive the decarbonization of the economy? Empirical evidence from China," Renewable Energy, Elsevier, vol. 204(C), pages 671-684.
    14. Dong, Kangyin & Ni, Guohua & Taghizadeh-Hesary, Farhad & Zhao, Congyu, 2023. "Does smart transportation matter in inhibiting carbon inequality?," Energy Economics, Elsevier, vol. 126(C).
    15. Lee, Chien-Chiang & Yahya, Farzan, 2024. "Mitigating energy instability: The influence of trilemma choices, financial development, and technology advancements," Energy Economics, Elsevier, vol. 133(C).
    16. Zhi Yu & Yali Cao & Mo Liu, 2022. "Does carbon emission trading policy affect bank loans of firms? Evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 29(18), pages 1709-1714, October.
    17. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    18. 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).
    19. Su, Bin & Ang, B.W. & Sun, Ya-Fang, 2022. "Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers," Energy Economics, Elsevier, vol. 107(C).
    20. Shimei Wu & Xinye Zheng & Chu Wei, 2017. "Measurement of inequality using household energy consumption data in rural China," Nature Energy, Nature, vol. 2(10), pages 795-803, October.
    21. Pan, Yinghao & Zhang, Chao-Chao & Lee, Chien-Chiang & Lv, Suxiang, 2024. "Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms," Energy Economics, Elsevier, vol. 130(C).
    22. Su, Bin & Ang, B.W., 2022. "Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data," Energy Economics, Elsevier, vol. 113(C).
    23. Qiang Wang & Jie Fan & Mei-Po Kwan & Kan Zhou & Guofeng Shen & Na Li & Bowei Wu & Jian Lin, 2023. "Examining energy inequality under the rapid residential energy transition in China through household surveys," Nature Energy, Nature, vol. 8(3), pages 251-263, March.
    24. Jevan Cherniwchan & Brian R. Copeland & M. Scott Taylor, 2017. "Trade and the Environment: New Methods, Measurements, and Results," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 59-85, September.
    25. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    26. Li, Zhenran & Wang, Meng & Wang, Qunwei, 2023. "Job destruction and creation: Labor reallocation entailed by the clean air action in China," China Economic Review, Elsevier, vol. 79(C).
    27. 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.
    28. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    29. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    30. Lee, Chien-Chiang & Zhao, Ya-Nan, 2023. "Heterogeneity analysis of factors influencing CO2 emissions: The role of human capital, urbanization, and FDI," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    31. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    32. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    33. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    34. Junhua Chen & Shufan Ma & Na Liu, 2023. "Multi-dimensional Housing Inequality Index: The Provincial Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 633-654, January.
    35. 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.
    36. Duan, Yuwan & Yan, Bingqian, 2019. "Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade," Energy Economics, Elsevier, vol. 83(C), pages 540-554.
    37. Lee, Chien-Chiang & Hussain, Jafar & Mu, Xian, 2024. "Renewable energy and carbon-neutral gaming: A holistic approach to sustainable electricity," Energy, Elsevier, vol. 297(C).
    38. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    39. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    40. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    41. Dominik Wiedenhofer & Dabo Guan & Zhu Liu & Jing Meng & Ning Zhang & Yi-Ming Wei, 2017. "Unequal household carbon footprints in China," Nature Climate Change, Nature, vol. 7(1), pages 75-80, January.
    42. Manfred Lenzen & Arne Geschke & James West & Jacob Fry & Arunima Malik & Stefan Giljum & Llorenç Milà i Canals & Pablo Piñero & Stephan Lutter & Thomas Wiedmann & Mengyu Li & Maartje Sevenster & Janez, 2022. "Implementing the material footprint to measure progress towards Sustainable Development Goals 8 and 12," Nature Sustainability, Nature, vol. 5(2), pages 157-166, February.
    43. Lee, Chien-Chiang & Yan, Jingyang, 2024. "Will artificial intelligence make energy cleaner? Evidence of nonlinearity," Applied Energy, Elsevier, vol. 363(C).
    44. 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.
    45. Wang, Yihan & Xiong, Siqin & Ma, Xiaoming, 2022. "Carbon inequality in global trade: Evidence from the mismatch between embodied carbon emissions and value added," Ecological Economics, Elsevier, vol. 195(C).
    46. Wu, Shimei & Chen, Zhan-Ming, 2023. "Carbon inequality in China: Evidence from city-level data," China Economic Review, Elsevier, vol. 78(C).
    47. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    48. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    49. Zhu, Yongbin & Shi, Yajuan & Wu, Jing & Wu, Leying & Xiong, Wen, 2018. "Exploring the Characteristics of CO2 Emissions Embodied in International Trade and the Fair Share of Responsibility," Ecological Economics, Elsevier, vol. 146(C), pages 574-587.
    50. Zhu, Qingyuan & Xu, Chengzhen & Pan, Yinghao & Wu, Jie, 2024. "Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    51. Yan Wu & Chunlai Chen & Cong Hu, 2023. "The impacts of trade intensity with China on carbon emissions in belt and road countries," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 28(2), pages 558-577, April.
    52. Akihiro Nishi & Hirokazu Shirado & David G. Rand & Nicholas A. Christakis, 2015. "Inequality and visibility of wealth in experimental social networks," Nature, Nature, vol. 526(7573), pages 426-429, October.
    53. Xu, Dandan & Guo, Dongli & Yue, Pengpeng & Li, Mengshi, 2024. "Household green consumption: Does digital inclusion matter?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    54. Dong Guo & Lin Li & Lu Qiao & Fengyu Qi, 2023. "Digital economy and consumption upgrading: scale effect or structure effect?," Economic Change and Restructuring, Springer, vol. 56(6), pages 4713-4744, December.
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