IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3529-d1071377.html
   My bibliography  Save this article

Spatiotemporal Dynamic Distribution, Regional Differences and Spatial Convergence Mechanisms of Carbon Emission Intensity: Evidence from the Urban Agglomerations in the Yellow River Basin

Author

Listed:
  • Chaohui Zhang

    (Faculty of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

  • Xin Dong

    (Faculty of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China
    Research Institute for Eco-Civilization, Chinese Academy of Social Sciences, Beijing 100710, China)

  • Ze Zhang

    (Faculty of Applied Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

Abstract

Low-carbon transition is of great importance in promoting the high-quality and sustainable development of urban agglomerations in the Yellow River Basin (YRB). In this study, the spatial Markov chain and Dagum’s Gini coefficient are used to describe the distribution dynamics and regional differences in the carbon emission intensity (CEI) of urban agglomerations in the YRB from 2007 to 2017. Additionally, based on the spatial convergence model, this paper analyzed the impact of technological innovation, industrial structure optimization and upgrading, and the government’s attention to green development on the CEI’s convergence speed for different urban agglomerations. The research results show that: (1) The probability of adjacent type transfer, cross-stage transfer, and cross-space transfer of the CEI of urban agglomerations in the YRB is small, indicating that the overall spatiotemporal distribution type of CEI is relatively stable. (2) The CEI of urban agglomerations in the YRB has decreased significantly, but the spatial differences are still significant, with a trend of continuous increase, and regional differences mainly come from the differences between urban agglomerations. (3) Expanding innovation output, promoting the optimization and upgrading of industrial structure, and enhancing the government’s attention to green development has a significant positive effect on the convergence rate of the CEI of urban agglomerations in the YRB. This paper holds that implementing differentiated emission reduction measures and actively expanding regional collaborative mechanisms will play an important role in reducing the spatial differences in carbon emissions in urban agglomerations in the YRB, realizing the goals of peak carbon and carbon neutrality.

Suggested Citation

  • Chaohui Zhang & Xin Dong & Ze Zhang, 2023. "Spatiotemporal Dynamic Distribution, Regional Differences and Spatial Convergence Mechanisms of Carbon Emission Intensity: Evidence from the Urban Agglomerations in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-28, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3529-:d:1071377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3529/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/4/3529/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergio J. Rey & Boris Dev, 2006. "σ‐convergence in the presence of spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 217-234, June.
    2. Jobert, Thomas & Karanfil, Fatih & Tykhonenko, Anna, 2010. "Convergence of per capita carbon dioxide emissions in the EU: Legend or reality?," Energy Economics, Elsevier, vol. 32(6), pages 1364-1373, November.
    3. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    4. Xiaoyan Li & Hengzhou Xu, 2020. "Effect of local government decision‐making competition on carbon emissions: Evidence from China's three urban agglomerations," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2418-2431, September.
    5. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    6. Joseph E. Aldy, 2007. "Divergence in State-Level Per Capita Carbon Dioxide Emissions," Land Economics, University of Wisconsin Press, vol. 83(3), pages 353-369.
    7. Shuxiao Li & Zhanhong Cheng & Yun Tong & Biao He, 2022. "The Interaction Mechanism of Tourism Carbon Emission Efficiency and Tourism Economy High-Quality Development in the Yellow River Basin," Energies, MDPI, vol. 15(19), pages 1-23, September.
    8. Long Gen Ying, 2000. "articles: Measuring the spillover effects: Some Chinese evidence," Papers in Regional Science, Springer;Regional Science Association International, vol. 79(1), pages 75-89.
    9. Julie Le Gallo, 2004. "Space-Time Analysis of GDP Disparities among European Regions: A Markov Chains Approach," International Regional Science Review, , vol. 27(2), pages 138-163, April.
    10. Joseph Aldy, 2006. "Per Capita Carbon Dioxide Emissions: Convergence or Divergence?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 33(4), pages 533-555, April.
    11. Frank Bickenbach & Eckhardt Bode, 2003. "Evaluating the Markov Property in Studies of Economic Convergence," International Regional Science Review, , vol. 26(3), pages 363-392, July.
    12. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    13. Pettersson, Fredrik & Maddison, David & Acar, Sevil & Söderholm, Patrik, 2014. "Convergence of Carbon Dioxide Emissions: A Review of the Literature," International Review of Environmental and Resource Economics, now publishers, vol. 7(2), pages 141-178, July.
    14. Xiaolan Chen & Qinggang Meng & Jianing Shi & Yufei Liu & Jing Sun & Wanfang Shen, 2022. "Regional Differences and Convergence of Carbon Emissions Intensity in Cities along the Yellow River Basin in China," Land, MDPI, vol. 11(7), pages 1-19, July.
    15. Jingtao Wang & Haibin Liu & Di Peng & Qian Lv & Yu Sun & Hui Huang & Hao Liu, 2021. "The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    16. Yingqi Xu & Yu Cheng & Ruijing Zheng & Yaping Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Carbon Emission Efficiency in the Yellow River Basin of China: Comparative Analysis of Resource and Non-Resource-Based Cities," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mengting Zhou & Jingran Yang & Xuanwei Ning & Chengliang Wu & Yang Zhang, 2024. "Analysis of the Characteristics and Driving Mechanisms of Carbon Emission Decoupling in the Hu-Bao-O-Yu City Cluster under the “Double Carbon” Target," Sustainability, MDPI, vol. 16(17), pages 1-18, August.

    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. Octavio Fernández-Amador & Doris A. Oberdabernig & Patrick Tomberger, 2019. "Testing for Convergence in Carbon Dioxide Emissions Using a Bayesian Robust Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1265-1286, August.
    2. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    3. Grafström, Jonas, 2017. "An Econometric Analysis of Divergence of Renewable Energy Invention Efforts in Europe," Ratio Working Papers 295, The Ratio Institute.
    4. Wu, Jianxin & Wu, Yanrui & Guo, Xiumei & Cheong, Tsun Se, 2016. "Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach," Energy Policy, Elsevier, vol. 91(C), pages 207-219.
    5. Jian-Xin Wu & Ling-Yun He, 2017. "The Distribution Dynamics of Carbon Dioxide Emissions Intensity across Chinese Provinces: A Weighted Approach," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    6. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    7. Diego Romero-Ávila & Tolga Omay, 2023. "Convergence of GHGs emissions in the long-run: aerosol precursors, reactive gases and aerosols—a nonlinear panel approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12303-12337, November.
    8. Brännlund, Runar & Lundgren, Tommy & Söderholm, Patrik, 2015. "Convergence of carbon dioxide performance across Swedish industrial sectors: An environmental index approach," Energy Economics, Elsevier, vol. 51(C), pages 227-235.
    9. Ren, Xiaohang & Xiao, Ya & Xiao, Shitong & Jin, Yi & Taghizadeh-Hesary, Farhad, 2024. "The effect of climate vulnerability on global carbon emissions: Evidence from a spatial convergence perspective," Resources Policy, Elsevier, vol. 90(C).
    10. Guilherme de Oliveira & Giana de Vargas Mores, 2015. "Convergence in per capita Carbon Dioxide Emissions: a panel data approach," Working Papers, Department of Economics 2015_35, University of São Paulo (FEA-USP).
    11. Maarten Bosker & Waldo Krugell, 2008. "Regional Income Evolution In South Africa After Apartheid," Journal of Regional Science, Wiley Blackwell, vol. 48(3), pages 493-523, August.
    12. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    13. Marrero, Ángel S. & Marrero, Gustavo A. & González, Rosa Marina & Rodríguez-López, Jesús, 2021. "Convergence in road transport CO2 emissions in Europe," Energy Economics, Elsevier, vol. 99(C).
    14. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    15. Ahmed, Mumtaz & Khan, Atif Maqbool & Bibi, Salma & Zakaria, Muhammad, 2017. "Convergence of per capita CO2 emissions across the globe: Insights via wavelet analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 86-97.
    16. Menegaki, Angeliki N. & Ahmad, Nisar & Aghdam, Reza FathollahZadeh & Naz, Amber, 2021. "The convergence in various dimensions of energy-economy-environment linkages: A comprehensive citation-based systematic literature review," Energy Economics, Elsevier, vol. 104(C).
    17. Kenichi SHIMAMOTO, 2017. "Examining The Existence Of Co2 Emission Per Capita Convergence In East Asia," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 11-28, December.
    18. Grafström, Jonas & Jaunky, Vishal, 2017. "Convergence of Incentive Capabilities within the European Union," Ratio Working Papers 301, The Ratio Institute.
    19. Nazlioglu, Saban & Payne, James E. & Lee, Junsoo & Rayos-Velazquez, Marco & Karul, Cagin, 2021. "Convergence in OPEC carbon dioxide emissions: Evidence from new panel stationarity tests with factors and breaks," Economic Modelling, Elsevier, vol. 100(C).
    20. Eckey, Hans-Friedrich & Türck, Matthias, 2007. "Convergence of EU-Regions. A Literature Report," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 10, pages 5-32.

    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:20:y:2023:i:4:p:3529-:d:1071377. 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.