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Electricity production, power generation structure, and air pollution: A monthly data analysis for 279 cities in China (2015–2019)

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  • Zhang, Guo-Xing
  • Yang, Yang
  • Su, Bin
  • Nie, Yan
  • Duan, Hong-Bo

Abstract

Advancing the clean transition of energy structure and reducing air pollution levels are important actions for achieving sustainable urban development. In this study, we analyze the impact of power production and structure on urban air pollution by analyzing the monthly power generation data of 14,570 power plants in 279 prefecture-level cities from January 2015 to December 2019. These data were matched with social, economic, and resource panel data. The study confirmed the positive impact of the increasing proportion of renewable energy on air pollution mitigation, especially when the proportion of renewable power supply exceeds 28.22%. This positive impact has a significant spatial spillover effect, with more air quality improvement seen in East, Central, Southwest, and Northwest China. By designing installation development scenarios for renewable energy, this paper projects the air pollution in major regions of China in 2030. The projection indicates that the PM2.5 concentration in each region could be lower than 35 μg/m3, but the overall proportion of photoelectric and wind power in the primary energy supply remains small. This highlights the need to increase the mitigation of urban air pollution further, by stimulating the innovation of power generation technology, improving power generation efficiency, and encouraging the large-scale development of renewable energy.

Suggested Citation

  • Zhang, Guo-Xing & Yang, Yang & Su, Bin & Nie, Yan & Duan, Hong-Bo, 2023. "Electricity production, power generation structure, and air pollution: A monthly data analysis for 279 cities in China (2015–2019)," Energy Economics, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:eneeco:v:120:y:2023:i:c:s0140988323000956
    DOI: 10.1016/j.eneco.2023.106597
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    as
    1. 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.
    2. Kopas, Jacob & York, Erin & Jin, Xiaomeng & Harish, S.P. & Kennedy, Ryan & Shen, Shiran Victoria & Urpelainen, Johannes, 2020. "Environmental Justice in India: Incidence of Air Pollution from Coal-Fired Power Plants," Ecological Economics, Elsevier, vol. 176(C).
    3. Yu, Bolin & Fang, Debin & Meng, Jingxuan, 2021. "Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China," Energy, Elsevier, vol. 234(C).
    4. Fang, Tao & Fang, Debin & Yu, Bolin, 2022. "Carbon emission efficiency of thermal power generation in China: Empirical evidence from the micro-perspective of power plants," Energy Policy, Elsevier, vol. 165(C).
    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. Xu, Guangyue & Yang, Hualiu & Schwarz, Peter, 2022. "A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model," Energy, Elsevier, vol. 241(C).
    7. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    8. 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.
    9. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff‐Ord‐Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614, May.
    11. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    12. Jin, Taeyoung & Kim, Jinsoo, 2018. "What is better for mitigating carbon emissions – Renewable energy or nuclear energy? A panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 464-471.
    13. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    14. Li, Zhengtao & Folmer, Henk & Xue, Jianhong, 2014. "To what extent does air pollution affect happiness? The case of the Jinchuan mining area, China," Ecological Economics, Elsevier, vol. 99(C), pages 88-99.
    15. Xiaosan, Zhang & Qingquan, Jiang & Shoukat Iqbal, Khattak & Manzoor, Ahmad & Zia Ur, Rahman, 2021. "Achieving sustainability and energy efficiency goals: Assessing the impact of hydroelectric and renewable electricity generation on carbon dioxide emission in China," Energy Policy, Elsevier, vol. 155(C).
    16. Shao, Shuai & Zhang, Yan & Tian, Zhihua & Li, Ding & Yang, Lili, 2020. "The regional Dutch disease effect within China: A spatial econometric investigation," Energy Economics, Elsevier, vol. 88(C).
    17. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    18. Yi, Fujin & Ye, Haijian & Wu, Ximing & Zhang, Y. Yvette & Jiang, Fei, 2020. "Self-aggravation effect of air pollution: Evidence from residential electricity consumption in China," Energy Economics, Elsevier, vol. 86(C).
    19. 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).
    20. Olugbenga A. Onafowora & Oluwole Owoye, 2015. "Structural Vector Auto Regression Analysis of the Dynamic Effects of Shocks in Renewable Electricity Generation on Economic Output and Carbon Dioxide Emissions: China, India and Japan," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1022-1032.
    21. Guojun He & Yuhang Pan & Takanao Tanaka, 2020. "The short-term impacts of COVID-19 lockdown on urban air pollution in China," Nature Sustainability, Nature, vol. 3(12), pages 1005-1011, December.
    22. Sun, Chuanwang & Zhang, Wenyue & Fang, Xingming & Gao, Xiang & Xu, Meilian, 2019. "Urban public transport and air quality: Empirical study of China cities," Energy Policy, Elsevier, vol. 135(C).
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    3. Lingling Li & Jiarui Pei & Qiang Shen, 2023. "A Review of Research on Dynamic and Static Economic Dispatching of Hybrid Wind–Thermal Power Microgrids," Energies, MDPI, vol. 16(10), pages 1-23, May.

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