IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4828-d1409445.html
   My bibliography  Save this article

Exploring Differences and Evolution of Coordination Level of the Industrial Structure, Economy and Ecological Environment Complex System in Beijing–Tianjin–Hebei Urban Agglomeration

Author

Listed:
  • Na Cao

    (School of Management Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Xinlei Cui

    (School of Management Engineering, Capital University of Economics and Business, Beijing 100070, China)

  • Shufeng Wen

    (School of Marxism, Central University of Finance and Economics, Beijing 102206, China)

Abstract

Industrial structure (IS), economy (EC), and ecological environment (EE) could influence each other and constitute a complex system (IS-EC-EE). This study is to explore the differences and evolution of the coordination level of the IS-EC-EE complex system of 13 cities in the Beijing–Tianjin–Hebei (BTH) urban agglomeration by coupling coordination degree model, Markov chain, GM (1,1) model, Dagum Gini coefficient, and Kernel density estimation method to provide a reference for regional sustainable development. The results show that the comprehensive evaluation index of IS, EC, and EE had significant differences among the 13 cities in the BTH region. The IS-EC-EE system of the whole BTH region was in a highly coupled and low-coordinated development state. And the coordination degrees of the 13 cities in the BTH region had spatial differences, which were mainly due to inter-regional differences, and the differences became larger. Furthermore, the coordinated development of the 13 cities had the probability of keeping high, moderate, and low coordination. It was predicted that the coordination degree of the IS-EC-EE system in the whole BTH region in 2020–2030 was roughly similar to the trend in 2009–2019. The coordination levels of Beijing and Tianjin were higher than in Hebei Province, so optimizations need to be considered for regional overall sustainable development.

Suggested Citation

  • Na Cao & Xinlei Cui & Shufeng Wen, 2024. "Exploring Differences and Evolution of Coordination Level of the Industrial Structure, Economy and Ecological Environment Complex System in Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 16(11), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4828-:d:1409445
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4828/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/11/4828/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aibin Wu & Yanxia Zhao & Yanjie Qin & Xin Liu & Huitao Shen, 2023. "Analysis of Ecological Environment Quality and Its Driving Factors in the Beijing-Tianjin-Hebei Region of China," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    2. Lei Nie & Purong Chen & Xiuli Liu & Qinqin Shi & Jing Zhang, 2022. "Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors," IJERPH, MDPI, vol. 19(17), pages 1-22, September.
    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. Shi An & Shaoliang Zhang & Huping Hou & Yiyan Zhang & Haonan Xu & Jie Liang, 2022. "Coupling Coordination Analysis of the Ecology and Economy in the Yellow River Basin under the Background of High-Quality Development," Land, MDPI, vol. 11(8), pages 1-19, August.
    5. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    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. Na Cao & Shicong Ling & Xinlei Cui, 2025. "Measurement and Comparative Analysis of Chinese New-Type Urbanization and Eco-Environment System Coordination," Sustainability, MDPI, vol. 17(5), pages 1-20, February.
    2. 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).
    3. Chen, Zhenni & Zhang, Zengkai & Feng, Tong & Liu, Diyi, 2023. "What drives the temporal dynamics and spatial differences of urban and rural household emissions in China?," Energy Economics, Elsevier, vol. 125(C).
    4. Shulei Cheng & Yu Yu & Wei Fan & Chunxia Zhu, 2022. "Spatio-Temporal Variation and Decomposition Analysis of Livelihood Resilience of Rural Residents in China," IJERPH, MDPI, vol. 19(17), pages 1-25, August.
    5. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    6. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    7. Min Jiang & Shuwang Yang & Guohua Zhou, 2024. "Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 13(3), pages 1-20, February.
    8. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
    9. Liu, Hongwei & Shao, Liangyu & Min, Jie & Ji, Xiang, 2024. "Regional differences and determinants of environmental efficiency in China's road transportation industry," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 931-946.
    10. 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.
    11. Qadri, Hussain Mohi ud Din & Ali, Hassnian & Abideen, Zain ul & Jafar, Ahmad, 2024. "Mapping the Evolution of Green Finance Research and Development in Emerging Green Economies," Resources Policy, Elsevier, vol. 91(C).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Xianpu Xu & Tieshan Zhao, 2024. "Towards Green Development: Exploring the Impact of Housing Price Bubbles on Regional Green Innovation Efficiency Based on Chinese Provincial Panel Data Analysis," Sustainability, MDPI, vol. 16(23), pages 1-23, November.
    17. Yi Lian & Yunfeng Shang & Fangbin Qian, 2024. "RETRACTED ARTICLE: Spatial effects of green finance development in Chinese provinces under the context of high-quality energy development," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-32, April.
    18. 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.
    19. 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.
    20. 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.

    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:jsusta:v:16:y:2024:i:11:p:4828-:d:1409445. 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.