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Coupling coordination degree between coal production reduction and CO2 emission reduction in coal industry

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  • Xia, Dan
  • Zhang, Ling

Abstract

The decline in coal production and the increase in low-carbon production levels are both important manifestations of the industry's elimination of backward production capacity. To test the benign interaction between the “quantity” and the “quality”, this paper takes 12 provinces in China with significant reductions in coal production, calculates and compares the changes in the coupling coordination degree (CCD) of the two systems from 2000 to 2019, and explore the key factors that affect CCD. The results show that from 2013 to 2019, 12 provinces have seen a decline in coal production between 5% and 23.6%, and the effectiveness of coal production control is relatively significant. However, the carbon emission reduction efficiency of the coal industry in 9 of these provinces has been at a lower level with a mean value of 0.481. After 2013, the CCD of 12 provinces significantly improves and the two systems have converged to a good state of coordination (Dit>0.6) in most provinces by 2019. However, the high volatility of CCD after 2013 suggests the instability of interaction. LnPGDPPEPOV, and FDI are proven to be the key factors affecting the system coordination. Meanwhile, other factors need to be further explored and improved.

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  • Xia, Dan & Zhang, Ling, 2022. "Coupling coordination degree between coal production reduction and CO2 emission reduction in coal industry," Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:energy:v:258:y:2022:i:c:s0360544222018059
    DOI: 10.1016/j.energy.2022.124902
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    as
    1. Song, Zongyun & Niu, Dongxiao & Xiao, Xinli, 2017. "Focus on the current competitiveness of coal industry in China: Has the depression time gone?," Resources Policy, Elsevier, vol. 51(C), pages 172-182.
    2. Yang, Qing & Hou, Xiaochao & Zhang, Lei, 2018. "Measurement of natural and cyclical excess capacity in China's coal industry," Energy Policy, Elsevier, vol. 118(C), pages 270-278.
    3. Chen, Yao & Cook, Wade D. & Kao, Chiang & Zhu, Joe, 2013. "Network DEA pitfalls: Divisional efficiency and frontier projection under general network structures," European Journal of Operational Research, Elsevier, vol. 226(3), pages 507-515.
    4. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    5. Wang, Delu & Wang, Yadong & Song, Xuefeng & Liu, Yun, 2018. "Coal overcapacity in China: Multiscale analysis and prediction," Energy Economics, Elsevier, vol. 70(C), pages 244-257.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Shi, Xunpeng & Rioux, Bertrand & Galkin, Philipp, 2018. "Unintended consequences of China’s coal capacity cut policy," Energy Policy, Elsevier, vol. 113(C), pages 478-486.
    8. Ma, Gang & Li, Xu & Zheng, Jianping, 2020. "Efficiency and equity in regional coal de-capacity allocation in China: A multiple objective programming model based on Gini coefficient and Data Envelopment Analysis," Resources Policy, Elsevier, vol. 66(C).
    9. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    10. Wang, Delu & Liu, Yifei & Wang, Yadong & Shi, Xunpeng & Song, Xuefeng, 2020. "Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach," Energy Economics, Elsevier, vol. 87(C).
    11. Shui Yu & Jianghui Yang & Qixiang Gao, 2020. "Coordination and Coupling of Active and Passive Energy Optimization in Public Institutions: A Case Study of Hunnan District, Shenyang in China," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-8, January.
    12. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    13. Bhattacharya, Mita & Rafiq, Shuddhasattwa & Lean, Hooi Hooi & Bhattacharya, Sankar, 2017. "The regulated coal sector and CO2 emissions in Indian growth process: Empirical evidence over half a century and policy suggestions," Applied Energy, Elsevier, vol. 204(C), pages 667-678.
    14. Akerboom, Sanne & Botzen, Wouter & Buijze, Anoeska & Michels, Ank & van Rijswick, Marleen, 2020. "Meeting goals of sustainability policy: CO2 emission reduction, cost-effectiveness and societal acceptance. An analysis of the proposal to phase-out coal in the Netherlands," Energy Policy, Elsevier, vol. 138(C).
    15. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
    16. Pata, Ugur Korkut, 2018. "The influence of coal and noncarbohydrate energy consumption on CO2 emissions: Revisiting the environmental Kuznets curve hypothesis for Turkey," Energy, Elsevier, vol. 160(C), pages 1115-1123.
    17. Zhao, Xiaoli & Cai, Qiong & Zhang, Sufang & Luo, Kaiyan, 2017. "The substitution of wind power for coal-fired power to realize China's CO2 emissions reduction targets in 2020 and 2030," Energy, Elsevier, vol. 120(C), pages 164-178.
    18. 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.
    19. Li, Xiaoyu & Yao, Xilong, 2020. "Can energy supply-side and demand-side policies for energy saving and emission reduction be synergistic?--- A simulated study on China's coal capacity cut and carbon tax," Energy Policy, Elsevier, vol. 138(C).
    20. Liu, Fuh-Hwa Franklin & Wang, Peng-hsiang, 2008. "DEA Malmquist productivity measure: Taiwanese semiconductor companies," International Journal of Production Economics, Elsevier, vol. 112(1), pages 367-379, March.
    21. Yi, Qun & Zhao, Yingjie & Huang, Yi & Wei, Guoqiang & Hao, Yanhong & Feng, Jie & Mohamed, Usama & Pourkashanian, Mohamed & Nimmo, William & Li, Wenying, 2018. "Life cycle energy-economic-CO2 emissions evaluation of biomass/coal, with and without CO2 capture and storage, in a pulverized fuel combustion power plant in the United Kingdom," Applied Energy, Elsevier, vol. 225(C), pages 258-272.
    22. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2020. "Adjusting energy consumption structure to achieve China's CO2 emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    23. Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
    24. Zhan-Ming Chen & Stephanie Ohshita & Manfred Lenzen & Thomas Wiedmann & Magnus Jiborn & Bin Chen & Leo Lester & Dabo Guan & Jing Meng & Shiyun Xu & Guoqian Chen & Xinye Zheng & JinJun Xue & Ahmed Alsa, 2018. "Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
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