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Does Coal Consumption Control Policy Synergistically Control Emissions and Energy Intensity?

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  • Jianhua Huangfu

    (School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China)

  • Wenjuan Zhao

    (School of Environment, Tsinghua University, Beijing 100084, China)

  • Lei Yu

    (China Petroleum Planning and Engineering Institute, CPPEI, Beijing 100089, China)

Abstract

The coal consumption constraint policy (CCCP) serves a crucial role in the maintenance of environmental and economic sustainability for China. However, it is debatable whether the CCCP reduces emissions and energy intensity. The present study explores the impact and realization pathways of the CCCP on energy and emissions intensity at the city level from 2005 to 2019 using a time-varying difference-in-differences (DID) and structural equation model (SEM) approach. We find that the CCCP can control emissions and energy intensity synergistically. Particularly, the CCCP has significantly reduced SO 2 and CO 2 emission intensity and energy intensity by 0.1283%, 0.0747%, and 0.2493%, respectively. Moreover, the CCCP can effectively reduce emissions intensity through industrial restructuring, and technology advancement is the only effective way to reduce energy intensity. The study provides some valuable suggestions to enable the control of coal consumption.

Suggested Citation

  • Jianhua Huangfu & Wenjuan Zhao & Lei Yu, 2023. "Does Coal Consumption Control Policy Synergistically Control Emissions and Energy Intensity?," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7748-:d:1142482
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    as
    1. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    2. Zheng, Yingmei & Qi, Jianhong & Chen, Xiaoliang, 2011. "The effect of increasing exports on industrial energy intensity in China," Energy Policy, Elsevier, vol. 39(5), pages 2688-2698, May.
    3. Chen, Han & Chen, Wenying, 2019. "Potential impact of shifting coal to gas and electricity for building sectors in 28 major northern cities of China," Applied Energy, Elsevier, vol. 236(C), pages 1049-1061.
    4. Chen, Han & Chen, Wenying, 2019. "Potential impacts of coal substitution policy on regional air pollutants and carbon emission reductions for China's building sector during the 13th Five-Year Plan period," Energy Policy, Elsevier, vol. 131(C), pages 281-294.
    5. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    6. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    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. Xu Guo & Lin Fu & Xiaohua Sun, 2021. "Can Environmental Regulations Promote Greenhouse Gas Abatement in OECD Countries? Command-and-Control vs. Market-Based Policies," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    9. Shuai Shao, Zhenbing Yang, Lili Yang, and Shuang Ma, 2019. "Can China's Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    10. Omri, Anis & Nguyen, Duc Khuong & Rault, Christophe, 2014. "Causal interactions between CO2 emissions, FDI, and economic growth: Evidence from dynamic simultaneous-equation models," Economic Modelling, Elsevier, vol. 42(C), pages 382-389.
    11. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    12. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    13. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    14. repec:ipg:wpaper:2014-542 is not listed on IDEAS
    15. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    16. Han, Zhi-Yong & Fan, Ying & Jiao, Jian-Ling & Yan, Ji-Sheng & Wei, Yi-Ming, 2007. "Energy structure, marginal efficiency and substitution rate: An empirical study of China," Energy, Elsevier, vol. 32(6), pages 935-942.
    17. Mielnik, Otavio & Goldemberg, Jose, 2002. "Foreign direct investment and decoupling between energy and gross domestic product in developing countries," Energy Policy, Elsevier, vol. 30(2), pages 87-89, January.
    18. Kivyiro, Pendo & Arminen, Heli, 2014. "Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: Causality analysis for Sub-Saharan Africa," Energy, Elsevier, vol. 74(C), pages 595-606.
    19. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    20. Clement Stone & Michael Sobel, 1990. "The robustness of estimates of total indirect effects in covariance structure models estimated by maximum," Psychometrika, Springer;The Psychometric Society, vol. 55(2), pages 337-352, June.
    21. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    22. 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).
    23. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
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