IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12503-d930484.html
   My bibliography  Save this article

Two-Dimensional Decoupling and Decomposition Analysis of CO 2 Emissions from Economic Growth: A Case Study of 57 Cities in the Yellow River Basin

Author

Listed:
  • Yawen Kong

    (School of Economics, Ocean University of China, Qingdao 266100, China)

  • Chunyu Liu

    (School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China)

  • Shuguang Liu

    (School of Economics, Ocean University of China, Qingdao 266100, China
    Institute of Marine Development, Ocean University of China, Qingdao 266100, China)

  • Shan Feng

    (Institute of Marine Development, Ocean University of China, Qingdao 266100, China)

  • Hongwei Zhou

    (School of Economics, Ocean University of China, Qingdao 266100, China)

Abstract

Precise decoupling of CO 2 emission and economic development holds promise for the sustainability of China in a post-industrialization era. This paper measures the energy-related CO 2 emissions of 57 cities in the Yellow River Basin (YRB) during 2006–2019 and analyzes their decoupling states and dynamic evolution paths based on the derived general analytical framework of two-dimensional decoupling states to decompose their decoupling index using the LMDI method. The results show that (1) from 2006 to 2019, the economic growth and CO 2 emissions of cities along the YRB are dominated by weak decoupling at an average contribution of 53.2%. Their dynamic evolution paths show fluctuations of “decoupling–recoupling” states, while the evolution trend is relatively ideal. (2) The factors of economic output, energy intensity and population scale inhibit the decoupling in most cities, which contribute 39.44%, 19.34%, and 2.75%, respectively, while the factors of industrial structure, carbon emission coefficient, and energy structure promote the decoupling in most cities in the YRB, with average contributions of −12.63%, −8.36%, and −0.67%, respectively. (3) The significant increase in the contribution of energy intensity is the main reason for the “Worse” path of cities, while the industrial structure and energy structure factors promote to the “Better” path of cities. This work satisfies the urgent need for the ecological protection of the YRB and opens new avenues for its high-quality development.

Suggested Citation

  • Yawen Kong & Chunyu Liu & Shuguang Liu & Shan Feng & Hongwei Zhou, 2022. "Two-Dimensional Decoupling and Decomposition Analysis of CO 2 Emissions from Economic Growth: A Case Study of 57 Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(19), pages 1-23, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12503-:d:930484
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12503/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12503/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    2. 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.
    3. Friedl, Birgit & Getzner, Michael, 2003. "Determinants of CO2 emissions in a small open economy," Ecological Economics, Elsevier, vol. 45(1), pages 133-148, April.
    4. Qiang Wang & Shasha Wang & Rongrong Li, 2019. "Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China," IJERPH, MDPI, vol. 16(19), pages 1-21, October.
    5. Zhang, Yue-Jun, 2011. "The impact of financial development on carbon emissions: An empirical analysis in China," Energy Policy, Elsevier, vol. 39(4), pages 2197-2203, April.
    6. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    7. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.
    8. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    9. Pal, Debdatta & Mitra, Subrata Kumar, 2017. "The environmental Kuznets curve for carbon dioxide in India and China: Growth and pollution at crossroad," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 371-385.
    10. Martinez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia, 2004. "Pooled mean group estimation of an environmental Kuznets curve for CO2," Economics Letters, Elsevier, vol. 82(1), pages 121-126, January.
    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. Matias Piaggio & Emilio Padilla & Carolina Roman, 2015. "The long-run relationshiop between C02 emissions and economic activity in a small open economy: Uruguay 1882-2010," Working Papers wpdea1506, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    3. repec:ipg:wpaper:2014-542 is not listed on IDEAS
    4. 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.
    5. Muhammad Shahbaz & Avik Sinha, 2019. "Environmental Kuznets curve for CO2emissions: a literature survey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 106-168, January.
    6. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    7. Piaggio, Matías & Padilla, Emilio, 2012. "CO2 emissions and economic activity: Heterogeneity across countries and non-stationary series," Energy Policy, Elsevier, vol. 46(C), pages 370-381.
    8. Omri, Anis & Daly, Saida & Rault, Christophe & Chaibi, Anissa, 2015. "Financial development, environmental quality, trade and economic growth: What causes what in MENA countries," Energy Economics, Elsevier, vol. 48(C), pages 242-252.
    9. Haider Mahmood & Maham Furqan & Muhammad Shahid Hassan & Soumen Rej, 2023. "The Environmental Kuznets Curve (EKC) Hypothesis in China: A Review," Sustainability, MDPI, vol. 15(7), pages 1-32, April.
    10. Shahbaz, Muhammad & Mutascu, Mihai & Azim, Parvez, 2013. "Environmental Kuznets curve in Romania and the role of energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 165-173.
    11. Mohamed Abdouli & Sami Hammami, 2020. "Economic Growth, Environment, FDI Inflows, and Financial Development in Middle East Countries: Fresh Evidence from Simultaneous Equation Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 479-511, June.
    12. Louis Sevitnenyi Nkwatoh, 2022. "Zero-pollution effect and economic development: standard and nested environmental Kuznets curve analyses for West Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11895-11910, October.
    13. Bingjie Xu & Ruoyu Zhong & Yifeng Liu, 2019. "Comparison of CO 2 emissions reduction efficiency of household fuel consumption in China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    14. Halkos, George, 2011. "Environment and economic development: determinants of an EKC hypothesis," MPRA Paper 33262, University Library of Munich, Germany.
    15. Miguel Rodríguez & Yolanda Pena-Boquete, 2013. "Mishandling carbon intensities," Working Papers 1302, Universidade de Vigo, Departamento de Economía Aplicada.
    16. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    17. Iftikhar Yasin & Nawaz Ahmad & Muhammad Aslam Chaudhary, 2021. "The impact of financial development, political institutions, and urbanization on environmental degradation: evidence from 59 less-developed economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6698-6721, May.
    18. Pei-Zhi Liu & Seema Narayan & Yi-Shuai Ren & Yong Jiang & Konstantinos Baltas & Basil Sharp, 2022. "Re-Examining the Income–CO 2 Emissions Nexus Using the New Kink Regression Model: Does the Kuznets Curve Exist in G7 Countries?," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    19. Sinha, Avik & Bhattacharya, Joysankar, 2017. "Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities," MPRA Paper 100009, University Library of Munich, Germany.
    20. Shahbaz, Muhammad & Sinha, Avik, 2019. "Environmental Kuznets Curve for CO2 emission: A survey of empirical literature," MPRA Paper 100257, University Library of Munich, Germany, revised 2019.
    21. Sencer Atasoy, Burak, 2017. "Testing the environmental Kuznets curve hypothesis across the U.S.: Evidence from panel mean group estimators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 731-747.

    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:gam:jijerp:v:19:y:2022:i:19:p:12503-:d:930484. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.