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How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces

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  • Wang, Yongpei
  • Yan, Weilong
  • Komonpipat, Supak

Abstract

Thermal power plants are considered to be the culprit of various pollutants. In China, a country dominated by coal-fired power generation, the problem is more serious. Regulators must use capacity control of coal-fired power generation as a key policy tool for emission reduction. This paper was concerned about the environmental effect of changes in thermal power capacity utilization on pollutants emissions in China. Under the econometric strategy of panel smoothing transformation regression (PSTR) model, the switching regimes and paths of seven pollutants emissions to thermal power capacity utilization were evaluated with the transition variables of power generation and electricity consumption, respectively. The three statistics, LM test, LMF and pseudo-LRT, unanimously verify the necessity of nonlinearity. In addition to CO2 emissions whose transition function presents U-shaped feature both in the models with power generation and electricity consumption as transition variable, the other pollutants such as SO2, NOX and so on generally exhibit quasi S-shaped change trend. The interaction term of installed capacity and average annual operating hours of thermal power plants introduced to reflect the interactive environmental effect of thermal power capacity utilization on pollutants emissions, appear similarity in most pollutants. However, the negative coefficients of the transition functions for interactive environmental effect imply that the policymakers reduce pollution by defusing capacity, which needs to be supplemented by setting reasonable warning line for operating hours of thermal power.

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  • Wang, Yongpei & Yan, Weilong & Komonpipat, Supak, 2019. "How does the capacity utilization of thermal power generation affect pollutant emissions? Evidence from the panel data of China's provinces," Energy Policy, Elsevier, vol. 132(C), pages 440-451.
  • Handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:440-451
    DOI: 10.1016/j.enpol.2019.06.010
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    References listed on IDEAS

    as
    1. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    2. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    3. Yuan, Jiahai & Li, Peng & Wang, Yang & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2016. "Coal power overcapacity and investment bubble in China during 2015–2020," Energy Policy, Elsevier, vol. 97(C), pages 136-144.
    4. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    5. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    6. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
    7. Stanton, Timothy J., 1993. "Capacity utilization and new source bias : Evidence from the US electric power industry," Energy Economics, Elsevier, vol. 15(1), pages 57-60, January.
    8. Graus, Wina & Worrell, Ernst, 2009. "Trend in efficiency and capacity of fossil power generation in the EU," Energy Policy, Elsevier, vol. 37(6), pages 2147-2160, June.
    9. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    10. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    11. Zhang, Xiaohan & Winchester, Niven & Zhang, Xiliang, 2017. "The future of coal in China," Energy Policy, Elsevier, vol. 110(C), pages 644-652.
    12. Shen, Guangjun & Chen, Binkai, 2017. "Zombie firms and over-capacity in Chinese manufacturing," China Economic Review, Elsevier, vol. 44(C), pages 327-342.
    13. Raupach, M.R. & Rayner, P.J. & Paget, M., 2010. "Regional variations in spatial structure of nightlights, population density and fossil-fuel CO2 emissions," Energy Policy, Elsevier, vol. 38(9), pages 4756-4764, September.
    14. Zhao, Changhong & Zhang, Weirong & Wang, Yang & Liu, Qilin & Guo, Jingsheng & Xiong, Minpeng & Yuan, Jiahai, 2017. "The economics of coal power generation in China," Energy Policy, Elsevier, vol. 105(C), pages 1-9.
    15. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    16. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    17. Wu, X.D. & Guo, J.L. & Chen, G.Q., 2018. "The striking amount of carbon emissions by the construction stage of coal-fired power generation system in China," Energy Policy, Elsevier, vol. 117(C), pages 358-369.
    18. Grekou, Carl, 2015. "Revisiting the nexus between currency misalignments and growth in the CFA Zone," Economic Modelling, Elsevier, vol. 45(C), pages 142-154.
    19. Tang, Bao-Jun & Li, Ru & Li, Xiao-Yi & Chen, Hao, 2017. "An optimal production planning model of coal-fired power industry in China: Considering the process of closing down inefficient units and developing CCS technologies," Applied Energy, Elsevier, vol. 206(C), pages 519-530.
    20. Zhu, Fahua & Zheng, Youfei & Guo, Xulin & Wang, Sheng, 2005. "Environmental impacts and benefits of regional power grid interconnections for China," Energy Policy, Elsevier, vol. 33(14), pages 1797-1805, September.
    21. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    22. 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.
    23. Shen, Junyi, 2006. "A simultaneous estimation of Environmental Kuznets Curve: Evidence from China," China Economic Review, Elsevier, vol. 17(4), pages 383-394.
    24. Thanh, Su Dinh, 2015. "Threshold effects of infl ation on growth in the ASEAN-5 countries: A Panel Smooth Transition Regression approach," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 20(38), pages 41-48.
    25. Yuan, Jiahai & Lei, Qi & Xiong, Minpeng & Guo, Jingsheng & Hu, Zheng, 2016. "The prospective of coal power in China: Will it reach a plateau in the coming decade?," Energy Policy, Elsevier, vol. 98(C), pages 495-504.
    26. Lin, Jiang & Kahrl, Fredrich & Liu, Xu, 2018. "A regional analysis of excess capacity in China’s power systems," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt44j2w0d0, Department of Agricultural & Resource Economics, UC Berkeley.
    27. Ben Youssef, Adel & Hammoudeh, Shawkat & Omri, Anis, 2016. "Simultaneity modeling analysis of the environmental Kuznets curve hypothesis," Energy Economics, Elsevier, vol. 60(C), pages 266-274.
    28. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    29. Duarte, Rosa & Pinilla, Vicente & Serrano, Ana, 2013. "Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 31(C), pages 518-527.
    30. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
    31. Al-Mulali, Usama & Saboori, Behnaz & Ozturk, Ilhan, 2015. "Investigating the environmental Kuznets curve hypothesis in Vietnam," Energy Policy, Elsevier, vol. 76(C), pages 123-131.
    32. Wang, Yongpei & Yan, Weilong & Zhuang, Shangwen & Zhang, Qian, 2019. "Competition or complementarity ? The hydropower and thermal power nexus in China," Renewable Energy, Elsevier, vol. 138(C), pages 531-541.
    33. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    34. Li, Ying & Lukszo, Zofia & Weijnen, Margot, 2016. "The impact of inter-regional transmission grid expansion on China’s power sector decarbonization," Applied Energy, Elsevier, vol. 183(C), pages 853-873.
    35. Ma, Xuejiao & Wang, Yong & Wang, Chen, 2017. "Low-carbon development of China's thermal power industry based on an international comparison: Review, analysis and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 942-970.
    36. Rahman, Mohammad Mafizur, 2017. "Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 506-514.
    37. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
    38. de Groot, Mats & Crijns-Graus, Wina & Harmsen, Robert, 2017. "The effects of variable renewable electricity on energy efficiency and full load hours of fossil-fired power plants in the European Union," Energy, Elsevier, vol. 138(C), pages 575-589.
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    3. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    4. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    5. Recep Ulucak & Danish & Yacouba Kassouri, 2020. "An assessment of the environmental sustainability corridor: Investigating the non‐linear effects of environmental taxation on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 1010-1018, July.
    6. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
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