IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i7p1042-d858926.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/7/1042/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/7/1042/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bowen Zhang & Ying Wang & Jiangfeng Li & Liang Zheng, 2022. "Degradation or Restoration? The Temporal-Spatial Evolution of Ecosystem Services and Its Determinants in the Yellow River Basin, China," Land, MDPI, vol. 11(6), pages 1-20, June.
    2. Wei-Feng Gong & Zhen-Yue Fan & Chuan-Hui Wang & Li-Ping Wang & Wen-Wen Li, 2022. "Spatial Spillover Effect of Carbon Emissions and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    3. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    4. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    5. Furui Xi & Runping Wang & Jusong Shi & Jinde Zhang & Yang Yu & Na Wang & Zhiyi Wang, 2022. "Spatio-Temporal Pattern and Conflict Identification of Production–Living–Ecological Space in the Yellow River Basin," Land, MDPI, vol. 11(5), pages 1-22, May.
    6. Aleksandra Kuzior & Katarzyna Anna Postrzednik-Lotko & Stefan Postrzednik, 2022. "Limiting of Carbon Dioxide Emissions through Rational Management of Pro-Ecological Activities in the Context of CSR Assumptions," Energies, MDPI, vol. 15(5), pages 1-17, March.
    7. Alam, Md Samsul & Safiullah, Md & Islam, Md Shahidul, 2022. "Cash-rich firms and carbon emissions," International Review of Financial Analysis, Elsevier, vol. 81(C).
    8. Li Li & Di Liu & Jian Hou & Dandan Xu & Wenbo Chao, 2019. "The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    9. Weikang Shen & Weiqi Xia & Sufeng Li, 2022. "Dynamic Coupling Trajectory and Spatial-Temporal Characteristics of High-Quality Economic Development and the Digital Economy," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    10. Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, April.
    11. Lu, Chengpeng & Ji, Wei & Hou, Muchen & Ma, Tianyang & Mao, Jinhuang, 2022. "Evaluation of efficiency and resilience of agricultural water resources system in the Yellow River Basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    12. Gang Liu & Fan Zhang, 2022. "Land Zoning Management to Achieve Carbon Neutrality: A Case Study of the Beijing–Tianjin–Hebei Urban Agglomeration, China," Land, MDPI, vol. 11(4), pages 1-18, April.
    13. Köne, Aylin Çiğdem & Büke, Tayfun, 2019. "Factor analysis of projected carbon dioxide emissions according to the IPCC based sustainable emission scenario in Turkey," Renewable Energy, Elsevier, vol. 133(C), pages 914-918.
    14. Jinjie Zhao & Lei Kou & Haitao Wang & Xiaoyu He & Zhihui Xiong & Chaoqiang Liu & Hao Cui, 2022. "Carbon Emission Prediction Model and Analysis in the Yellow River Basin Based on a Machine Learning Method," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    15. Younes Ahmadi & Akio Yamazaki & Philippe Kabore, 2022. "How Do Carbon Taxes Affect Emissions? Plant-Level Evidence from Manufacturing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 285-325, June.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Feng, Yingjie & Zhu, Aikong & Wang, Jingya & Xia, Ke & Liu, Zhenglan, 2023. "Study on the low-carbon development under a resources-dependent framework of water-land -energy utilization: Evidence from the Yellow River Basin, China," Energy, Elsevier, vol. 280(C).
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.

    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. Luo, Haizhi & Li, Yingyue & Gao, Xinyu & Meng, Xiangzhao & Yang, Xiaohu & Yan, Jinyue, 2023. "Carbon emission prediction model of prefecture-level administrative region: A land-use-based case study of Xi'an city, China," Applied Energy, Elsevier, vol. 348(C).
    2. 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.
    3. Ellis Scharfenaker, Markus P.A. Schneider, 2019. "Labor Market Segmentation and the Distribution of Income: New Evidence from Internal Census Bureau Data," Working Paper Series, Department of Economics, University of Utah 2019_08, University of Utah, Department of Economics.
    4. Stéphane Mussard & Kuan Xu, 2006. "Multidimensional Decomposition of the Sen Index: Some Further Thoughts," Cahiers de recherche 06-08, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. Charles Condevaux & Stéphane Mussard & Téa Ouraga & Guillaume Zambrano, 2020. "Generalized Gini linear and quadratic discriminant analyses," METRON, Springer;Sapienza Università di Roma, vol. 78(2), pages 219-236, August.
    6. Luc Savard & Stéphane Mussard, 2005. "Micro-simulation and Multi-decomposition: A Case Study: Philippines," Cahiers de recherche 05-02, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    7. 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.
    8. Lee, Chien-Chiang & Qian, Anqi, 2024. "Regional differences, dynamic evolution, and obstacle factors of cultivated land ecological security in China," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    9. Pan Wenjie & Mei Daniel Weiyue, 2022. "Comprehensive Evaluation of China's Green Urbanization Level--Measurement Based on Provincial Panel Data," International Business Research, Canadian Center of Science and Education, vol. 15(9), pages 1-16, September.
    10. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    11. Qiangyi Li & Jiexiao Ge & Mingyu Huang & Xiaoyu Wu & Houbao Fan, 2024. "Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China," Land, MDPI, vol. 13(7), pages 1-24, July.
    12. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    13. Jinhan Yu & Licheng Sun, 2022. "Supply Chain Emission Reduction Decisions, Considering Overconfidence under Conditions of Carbon Trading Price Volatility," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    14. Allanson, Paul, 2017. "Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data," Social Science & Medicine, Elsevier, vol. 175(C), pages 72-80.
    15. Jincai Zhao & Yiyao Wang & Xiufeng Zhang & Qianxi Liu, 2022. "Industrial and Agricultural Water Use Efficiency and Influencing Factors in the Process of Urbanization in the Middle and Lower Reaches of the Yellow River Basin, China," Land, MDPI, vol. 11(8), pages 1-18, August.
    16. Nan Li & Beibei Shi & Rong Kang, 2023. "Analysis of the Coupling Effect and Space-Time Difference between China’s Digital Economy Development and Carbon Emissions Reduction," IJERPH, MDPI, vol. 20(1), pages 1-25, January.
    17. Yaoyao Wang & Yuanpei Kuang, 2023. "Evaluation, Regional Disparities and Driving Mechanisms of High-Quality Agricultural Development in China," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    18. Bao Meng & Shaoyao Zhang & Wei Deng & Li Peng & Peng Zhou & Hao Zhang, 2023. "Identification and Analysis of Territorial Spatial Utilization Conflicts in Yibin Based on Multidimensional Perspective," Land, MDPI, vol. 12(5), pages 1-20, May.
    19. Zhao, Feifei & Hu, Zheng & Yi, Ping & Zhao, Xu, 2024. "Does environmental decentralization improve industrial ecology? Evidence from China's Yangtze River Economic Belt," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1250-1270.
    20. Gangfei Luo & Shouzhen Zeng & Tomas Baležentis, 2022. "Multidimensional Measurement and Comparison of China’s Educational Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 857-874, September.

    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:jlands:v:11:y:2022:i:7:p:1042-:d:858926. 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.