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Evaluation the impact of electricity consumption on China’s air pollution at the provincial level

Author

Listed:
  • Shen Zhong
  • Yu’an Fang
  • Hongjun Jing

Abstract

As the world’s largest electricity-consuming country, China faces the challenge of energy conservation and environmental pollution. Therefore, it is imperative that China takes decisive action to address these issues. Based on the panel data of 30 provinces (cities, districts) in China from 2011 to 2020, we use the entropy method to measure the air pollution index in different provinces, construct two fixed effects models, panel quantile model, and spatial Durbin model to empirically analyze the impact of electricity consumption on air pollution in China’s provincial regions. The experimental results show that: (1) Electricity consumption has a significant positive impact on the provincial air pollution index in China and the higher the index is, the more serious the air pollution is. When the electricity consumption increases 1%, the air pollution index will increase of by 0.0649% as accompanied. (2) Through comparison of different times, we found that the degree of increase in air pollution index caused by electricity consumption would be reduced due to the improvement of environmental protection efforts. From the perspective of different geographical locations, the electricity consumption in the southeast side of the "Hu Line" has exacerbated the impact on air pollution index. (3) According to the panel quantile regression results, the marginal effect of electricity consumption on air pollution is positive. With the increase of quantiles, the impact of electricity consumption on air pollution is increasing. (4) Spatial effect analysis shows that electricity consumption has a significant positive spatial spillover effect on air pollution index. The increase in electricity consumption not only increases the air pollution index in the local region, but also leads to an increase in the air pollution index in surrounding areas. These findings contribute to the governance of air pollution and the promotion of sustainable economic, environmental and energy development.

Suggested Citation

  • Shen Zhong & Yu’an Fang & Hongjun Jing, 2024. "Evaluation the impact of electricity consumption on China’s air pollution at the provincial level," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-21, April.
  • Handle: RePEc:plo:pone00:0301537
    DOI: 10.1371/journal.pone.0301537
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    References listed on IDEAS

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    1. John A. List & W. Warren McHone & Daniel L. Millimet, 2003. "Effects of air quality regulation on the destination choice of relocating plants," Oxford Economic Papers, Oxford University Press, vol. 55(4), pages 657-678, October.
    2. Qi Cui & Bo Yuan & Yexin Zhou & Hao Chen & Yuanning Hu, 2021. "Will bad air quality affect the siting of foreign-invested manufacturing enterprises? The evidence from China," Applied Economics, Taylor & Francis Journals, vol. 53(45), pages 5221-5241, September.
    3. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    4. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).
    5. Yu Pei & Yingming Zhu & Suxia Liu & Menglu Xie, 2021. "Industrial agglomeration and environmental pollution: based on the specialized and diversified agglomeration in the Yangtze River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4061-4085, March.
    6. Daniel Armeanu & Georgeta Vintilă & Jean Vasile Andrei & Ştefan Cristian Gherghina & Mihaela Cristina Drăgoi & Cristian Teodor, 2018. "Exploring the link between environmental pollution and economic growth in EU-28 countries: Is there an environmental Kuznets curve?," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-28, May.
    7. Yu, Yunjiang & Dai, Chun & Wei, Yigang & Ren, Huiming & Zhou, Jiawen, 2022. "Air pollution prevention and control action plan substantially reduced PM2.5 concentration in China," Energy Economics, Elsevier, vol. 113(C).
    8. Liu, Xiaorui & Guo, Wen & Feng, Qiang & Wang, Peng, 2022. "Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity," Energy, Elsevier, vol. 257(C).
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    10. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Can environmental regulation solve pollution problems? Theoretical model and empirical research based on the skill premium," Energy Economics, Elsevier, vol. 94(C).
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