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Exploring synergistic decoupling of haze pollution and carbon emissions in emerging economies: fresh evidence from China

Author

Listed:
  • Feng Dong

    (China University of Mining and Technology
    China University of Mining and Technology)

  • Jingyun Li

    (China University of Mining and Technology
    Beijing Institute of Technology)

  • Zhicheng Li

    (China University of Mining and Technology)

  • Yuhuan Chen

    (China University of Mining and Technology)

  • Lu Zheng

    (China University of Mining and Technology)

  • Bin Lu

    (Beijing Institute of Technology)

  • Yajie Liu

    (China University of Mining and Technology)

Abstract

In the face of global warming, energy depletion, and air pollution, controlling greenhouse gas and air pollutant emissions has become an urgent task for an emerging economy. Therefore, this study investigates the synergistic relationship between haze decoupling and carbon emission decoupling in China, one representative emerging economy. Effect of synergistic decoupling is explored by decomposition model. Based on Geographically and Temporally Weighted Regression, this study also investigates spatiotemporal variation of the synergistic relationship between the two decoupling indices and the synergy effect of various factors. The main results are as follows. (1) Technological progress in CO2 is the main negative driving factor, and the ratio of potential CO2 to potential haze (potential ratio) is the main positive driving factor in the synergistic decoupling. (2) There is a synergy effect between two decoupling indices, and in the later period, the value of synergy effects tends to be flat. (3) The emission factor has the largest synergy effect. In the short term, the synergy effect of the population is greater than the energy intensity, but in the long run, the synergy effect of the energy intensity is greater than the population. These novel findings not only contribute to advancing the existing literature on synergistic emission reduction of environmental pollutions, but also merit particular attention from policy makers in the emerging economy.

Suggested Citation

  • Feng Dong & Jingyun Li & Zhicheng Li & Yuhuan Chen & Lu Zheng & Bin Lu & Yajie Liu, 2024. "Exploring synergistic decoupling of haze pollution and carbon emissions in emerging economies: fresh evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17281-17318, July.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03338-2
    DOI: 10.1007/s10668-023-03338-2
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    as
    1. Ahsan Anwar & Avik Sinha & Arshian Sharif & Muhammad Siddique & Shoaib Irshad & Waseem Anwar & Summaira Malik, 2022. "The nexus between urbanization, renewable energy consumption, financial development, and CO2 emissions: evidence from selected Asian countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6556-6576, May.
    2. Cohen, Gail & Jalles, Joao Tovar & Loungani, Prakash & Marto, Ricardo & Wang, Gewei, 2019. "Decoupling of emissions and GDP: Evidence from aggregate and provincial Chinese data," Energy Economics, Elsevier, vol. 77(C), pages 105-118.
    3. Mardones, Cristian & Cabello, Martin, 2019. "Effectiveness of local air pollution and GHG taxes: The case of Chilean industrial sources," Energy Economics, Elsevier, vol. 83(C), pages 491-500.
    4. Yang, Lin & Yang, Yuantao & Zhang, Xian & Tang, Kai, 2018. "Whether China's industrial sectors make efforts to reduce CO2 emissions from production? - A decomposed decoupling analysis," Energy, Elsevier, vol. 160(C), pages 796-809.
    5. Climent, Francisco & Pardo, Angel, 2007. "Decoupling factors on the energy-output linkage: The Spanish case," Energy Policy, Elsevier, vol. 35(1), pages 522-528, January.
    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. Abdul Farooq & Ahsan Anwar & Muhammad Ahad & Ghulam Shabbir & Zulfiqar Ali Imran, 2021. "A validity of environmental Kuznets curve under the role of urbanization, financial development index and foreign direct investment in Pakistan," Journal of Economic and Administrative Sciences, Emerald Group Publishing Limited, vol. 40(2), pages 288-307, December.
    8. Chien, Fengsheng & Anwar, Ahsan & Hsu, Ching-Chi & Sharif, Arshian & Razzaq, Asif & Sinha, Avik, 2021. "The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries," Technology in Society, Elsevier, vol. 65(C).
    9. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    10. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2018. "The impacts on CO2 emission reduction and haze by coal resource tax reform based on dynamic CGE model," Resources Policy, Elsevier, vol. 58(C), pages 268-276.
    11. Li Liu & Ahsan Anwar & Esma Irmak & Irem Pelit, 2022. "Asymmetric linkages between public-private partnership, environmental innovation, and transport emissions," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 6519-6540, December.
    12. Dong, Bai & Zhang, Ming & Mu, Hailin & Su, Xuanming, 2016. "Study on decoupling analysis between energy consumption and economic growth in Liaoning Province," Energy Policy, Elsevier, vol. 97(C), pages 414-420.
    13. Zhang, Shengling & Li, Yue & Hao, Yu & Zhang, Yipeng, 2018. "Does public opinion affect air quality? Evidence based on the monthly data of 109 prefecture-level cities in China," Energy Policy, Elsevier, vol. 116(C), pages 299-311.
    14. 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).
    15. Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
    16. Zhang, Shaohui & Worrell, Ernst & Crijns-Graus, Wina, 2015. "Synergy of air pollutants and greenhouse gas emissions of Chinese industries: A critical assessment of energy models," Energy, Elsevier, vol. 93(P2), pages 2436-2450.
    17. Anwar, Ahsan & Sharif, Arshian & Fatima, Saba & Ahmad, Paiman & Sinha, Avik & Khan, Syed Abdul Rehman & Jermsittiparsert, Kittisak, 2021. "The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach," MPRA Paper 108160, University Library of Munich, Germany, revised 2021.
    18. Yao, Wanxiang & Zheng, Zhimiao & Zhao, Jun & Wang, Xiao & Wang, Yan & Li, Xianli & Fu, Jidong, 2020. "The factor analysis of fog and haze under the coupling of multiple factors -- taking four Chinese cities as an example," Energy Policy, Elsevier, vol. 137(C).
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