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Regional Differences and Convergence of Carbon Emissions Intensity in Cities along the Yellow River Basin in China

Author

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  • Xiaolan Chen

    (Shandong Technology Innovation Center of Social Governance Intelligence, Shandong University of Finance and Economics, Jinan 250014, China)

  • Qinggang Meng

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Jianing Shi

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yufei Liu

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Jing Sun

    (School of Business Administration, University of Science and Technology, Anshan 114051, China)

  • Wanfang Shen

    (Shandong Key Laboratory of Blockchain Finance, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

Since the ecological protection and high-quality development of the Yellow River Basin (YRB) in China have become a primary national strategy, the low-carbon economy is crucial. To formulate effective emission mitigation policies for the YRB, we need to comprehensively understand the characteristics of the spatial agglomeration of the carbon emissions intensity in the YRB and its regional heterogeneity. Therefore, based on the relevant data from 2005 to 2017, we first scientifically measure the carbon emissions intensity of 57 cities along the YRB. Then, we analyze the spatial agglomeration characteristics and long-term transfer trends of carbon emission intensity using exploratory spatial data analysis methods and Markov chains. Finally, the Dagum Gini coefficient and the variation coefficient method are used to study the regional differences and differential evolution convergence of the carbon emissions intensity in the YRB. The results show that the carbon emissions intensity of the YRB has dropped significantly with the spatial distribution characteristics “high in the west and low in the east”, and there is a significant spatial autocorrelation phenomenon. In addition, the probability of a shift in urban carbon intensity is low, leading to a “club convergence” and a “Matthew effect” in general and across regions. Inter-regional differences have always been the primary source of spatial differences in carbon emissions intensity in the YRB, and the intra-regional differences in carbon emissions intensity in the lower YRB show a significant convergence phenomenon. The research results may provide a reference for the regional coordinated development of a low-carbon economy in the YRB, and serve to guide the win-win development model of ecological environment protection and economic growth in the YRB.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1042-:d:858926
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    References listed on IDEAS

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    2. Yun Qing & Bingjian Zhao & Chuanhao Wen, 2023. "The Coupling and Coordination of Agricultural Carbon Emissions Efficiency and Economic Growth in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    3. 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.
    4. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    5. Yuxue Zhang & Rui Wang & Xingyuan Yang & He Zhang, 2023. "Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.
    6. Hongfeng Zhang & Miao Liu & Yixiang Wang & Xiangjiang Ding & Yueting Li, 2023. "Spatio-Temporal Evolution and Action Path of Environmental Governance on Carbon Emissions: A Case Study of Urban Agglomerations in the Yellow River Basin," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    7. Lei Liu & Kai He & Yi Qiao & Peilin Fu & Qinggang Meng, 2023. "Entrepreneurship and Export Product Quality Improvement," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    8. Zhuoxi Yu & Shan Liu & Zhichuan Zhu & Lianyan Fu, 2023. "Spatial Imbalance, Dynamic Evolution and Convergence of the Digital Economy: Analysis Based on Panel Data of 278 Cities in China," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    9. Yongchao Qu & Jian Zhang & Chongyuan Xu & Yichao Gao & Shanwen Zheng & Meiling Xia, 2022. "Analysis of Spatial Carbon Metabolism by ENA: A Case Study of Tongzhou District, Beijing," Land, MDPI, vol. 11(9), pages 1-17, September.
    10. Jinxing Hu & Cuiying Shao & Zhaolong Zhang, 2022. "The Impact of Sustainable Regional Development Policy on Carbon Emissions: Evidence from Yangtze River Delta of China," Energies, MDPI, vol. 15(24), pages 1-25, December.

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