IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-023-03338-2.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03338-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03338-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
    13. 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.
    14. 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).
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shabir Mohsin Hashmi & Xuyou Yu & Qasim Raza Syed & Li Rong, 2024. "Testing the environmental Kuznets curve (EKC) hypothesis amidst climate policy uncertainty: sectoral analysis using the novel Fourier ARDL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16503-16522, July.
    2. Quan Guo & Zijing Liang & Xiang Bai & Mengnan Lv & Anying Zhang, 2022. "The Analysis of Carbon Emission’s Characteristics and Dynamic Evolution Based on the Strategy of Unbalanced Regional Economic Development in China," Sustainability, MDPI, vol. 14(14), pages 1-31, July.
    3. Yu, Zhong, 2024. "Do natural resources promote carbon neutrality: The role of green finance," Resources Policy, Elsevier, vol. 88(C).
    4. Ye, Maoran & Tang, Ling & Huang, Lin & Li, Mei, 2023. "On conflict of natural resources-carbon emissions nexus in China: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 86(PB).
    5. Hao, Yu & Zhang, Tianli & Jing, Leijie & Xiao, Linqi, 2019. "Would the decoupling of electricity occur along with economic growth? Empirical evidence from the panel data analysis for 100 Chinese cities," Energy, Elsevier, vol. 180(C), pages 615-625.
    6. Sun, Yunpeng & Anwar, Ahsan & Razzaq, Asif & Liang, Xueping & Siddique, Muhammad, 2022. "Asymmetric role of renewable energy, green innovation, and globalization in deriving environmental sustainability: Evidence from top-10 polluted countries," Renewable Energy, Elsevier, vol. 185(C), pages 280-290.
    7. Habiba, Umme & Xinbang, Cao & Anwar, Ahsan, 2022. "Do green technology innovations, financial development, and renewable energy use help to curb carbon emissions?," Renewable Energy, Elsevier, vol. 193(C), pages 1082-1093.
    8. Jing Li & Lipeng Hou & Lin Wang & Lina Tang, 2021. "Decoupling Analysis between Economic Growth and Air Pollution in Key Regions of Air Pollution Control in China," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    9. Ping Zhou & Hailing Li, 2022. "Carbon Emissions from Manufacturing Sector in Jiangsu Province: Regional Differences and Decomposition of Driving Factors," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    10. Chishti, Muhammad Zubair & Sinha, Avik, 2022. "Do the shocks in technological and financial innovation influence the environmental quality? Evidence from BRICS economies," Technology in Society, Elsevier, vol. 68(C).
    11. Chien, FengSheng, 2022. "How renewable energy and non-renewable energy affect environmental excellence in N-11 economies?," Renewable Energy, Elsevier, vol. 196(C), pages 526-534.
    12. Chen, Jiamin & Chen, Yuwei, 2024. "Does natural resources rent promote carbon neutrality: The role of digital finance," Resources Policy, Elsevier, vol. 92(C).
    13. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    14. Liu, Jian & Yang, Qingshan & Ou, Suhua & Liu, Jie, 2022. "Factor decomposition and the decoupling effect of carbon emissions in China's manufacturing high-emission subsectors," Energy, Elsevier, vol. 248(C).
    15. Zhou, Bingjun & Huang, Yan & Gao, Ke & Luo, Chunyang, 2024. "How geopolitical risk and economic policy uncertainty impact coal, natural gas, and oil rent? Evidence from China," Resources Policy, Elsevier, vol. 88(C).
    16. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2022. "Does the European Union energy policy support progress in decoupling economic growth from emissions?," Energy Policy, Elsevier, vol. 170(C).
    17. Xin, Liguo & Ahmad, Manzoor & Khattak, Shoukat Iqbal, 2023. "Impact of innovation in hybrid electric vehicles-related technologies on carbon dioxide emissions in the 15 most innovative countries," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    18. Yanli Ji & Jie Xue, 2022. "Decoupling Effect of County Carbon Emissions and Economic Growth in China: Empirical Evidence from Jiangsu Province," IJERPH, MDPI, vol. 19(6), pages 1-22, March.
    19. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    20. Wei, Wendong & Cai, Wenqiu & Guo, Yi & Bai, Caiquan & Yang, Luzhen, 2020. "Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security," Resources Policy, Elsevier, vol. 68(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03338-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.