IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13512-d1236436.html
   My bibliography  Save this article

The Spatio-Temporal Evolution and Driving Factors of High-Quality Development in the Yellow River Basin during the Period of 2010–2022

Author

Listed:
  • Mengna Zhang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Shanzhong Qi

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

The Yellow River Basin is an important ecological barrier and economic development area in China, but it faces some problems such as the degradation of its ecological quality and a lagging economic level. Promoting the high-quality development of the Yellow River Basin is the only way for China’s economic construction to enter into high-quality development, and an objective evaluation of the development quality of the study area is the premise for effectively improving this development quality. Based on panel data during the period of 2010–2022, a framework of drivers, pressures, state, impact, and a response model was used to build an index system. The index of high-quality development for each province in the Yellow River Basin was calculated using the entropy TOPSIS model. Further, the descriptive statistics method and standard deviation ellipse were applied to analyze the spatio-temporal characteristics of high-quality development in the study area, and the geographical detector and spatio-temporal geographical weighted regression model were employed to reveal the driving factors for this high-quality development in the Yellow River Basin. The results showed that (1) the high-quality development index of the Yellow River Basin was steadily improved over the study period, with an average annual growth rate of 3.024%. (2) The high-value area of the high-quality development level in the study area was distributed from northwest to southeast, with the high values of each subsystem tending to be spatially stable, as well as the spatial differences of the subsystems increasing. (3) The proportion of tertiary industry, per capita disposable income, rural–urban income ratio, per capita GDP, per capita highway mileage, and population were the main factors affecting the spatio-temporal evolution of high-quality development level in the Yellow River Basin, with average q values of 0.867, 0.938, 0.852, 0.781, 0.842, and 0.763, respectively. (4) Except for the negative effect of per capita GDP, the other five driving factors all had positive effects on the high-quality development level, with average values of 0.044, 0.068, 0.227, 0.064, and 0.215, respectively.

Suggested Citation

  • Mengna Zhang & Shanzhong Qi, 2023. "The Spatio-Temporal Evolution and Driving Factors of High-Quality Development in the Yellow River Basin during the Period of 2010–2022," Sustainability, MDPI, vol. 15(18), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13512-:d:1236436
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13512/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13512/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Lou, Bo & Ulgiati, Sergio, 2013. "Identifying the environmental support and constraints to the Chinese economic growth—An application of the Emergy Accounting method," Energy Policy, Elsevier, vol. 55(C), pages 217-233.
    3. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    4. Li, Mengxu & Liu, Jianghua & Chen, Yang & Yang, Zhijiu, 2023. "Can sustainable development strategy reduce income inequality in resource-based regions? A natural resource dependence perspective," Resources Policy, Elsevier, vol. 81(C).
    5. Cherniwchan, Jevan, 2012. "Economic growth, industrialization, and the environment," Resource and Energy Economics, Elsevier, vol. 34(4), pages 442-467.
    6. Dani Rodrik, 2019. "Where Are We in the Economics of Industrial Policies?," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 14(3), pages 329-335, September.
    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. Qiangmin, XI & Peng, JI, 2023. "Does the development zone promote population urbanization? Evidence from China," Land Use Policy, Elsevier, vol. 131(C).
    2. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
    3. Zeng, Haoran & Wang, Haijun & Zhang, Bin & Song, Youcheng & Cao, Xiaoxu & Li, Qiyuan, 2024. "A new cellular automata framework of urban growth modeling by incorporating land use policies and economic development zone planning," Ecological Modelling, Elsevier, vol. 498(C).
    4. Ponce, Pablo & Yunga, Fernando & Larrea-Silva, Jhohana & Aguirre, Nikolay, 2023. "Spatial determinants of income inequality at the global level: The role of natural resources," Resources Policy, Elsevier, vol. 84(C).
    5. Opoku, Eric Evans Osei & Boachie, Micheal Kofi, 2020. "The environmental impact of industrialization and foreign direct investment," Energy Policy, Elsevier, vol. 137(C).
    6. Dmitry A. Ruban & Natalia N. Yashalova, 2022. "Pro-environmental behavior prescribed by top companies of the world," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7918-7935, June.
    7. Lee, Jongpyo & Jung, Sanghoon, 2020. "Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area," Land Use Policy, Elsevier, vol. 95(C).
    8. Yafen He & Zhenhong Zhu & Hualin Xie & Xinmin Zhang & Meiqi Sheng, 2023. "A case study in China of the influence mechanism of industrial park efficiency using DEA," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 7261-7280, July.
    9. Devleena Chakravarty & Sabuj Kumar Mandal, 2019. "Environmental Kuznets curve for local and global pollutants: application of GMM and random coefficient panel data models," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(2), pages 212-233, December.
    10. Hwang, Young Kyu & Sánchez Díez, Ángeles, 2024. "Renewable energy transition and green growth nexus in Latin America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    11. Bartosz Jóźwik & Antonina-Victoria Gavryshkiv & Kinga Galewska, 2022. "Do Urbanization and Energy Consumption Change the Role in Environmental Degradation in the European Union Countries?," Energies, MDPI, vol. 15(17), pages 1-14, September.
    12. Christina J. Herden & Ervin Alliu & André Cakici & Thibaut Cormier & Catherine Deguelle & Sahil Gambhir & Caleb Griffiths & Shrishti Gupta & Sahil R. Kamani & Yonca-Selda Kiratli & Máté Kispataki & Gr, 2021. "“Corporate Digital Responsibility”," Sustainability Nexus Forum, Springer, vol. 29(1), pages 13-29, March.
    13. Yanchao Feng & Yue Gao & Yuxi Pan, 2024. "Identifying the antecedents for the green transformation of resource-exhausted cities in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-17, December.
    14. Du, Xiuying & Xie, Zixiong, 2020. "Occurrence of turning point on environmental Kuznets curve in the process of (de)industrialization," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 359-369.
    15. Tehmina Zahid & Noman Arshed & Mubbasher Munir & Kamran Hameed, 2021. "Role of energy consumption preferences on human development: a study of SAARC region," Economic Change and Restructuring, Springer, vol. 54(1), pages 121-144, February.
    16. Liu, Lili, 2023. "Natural resources extraction and global COP26 target: An overview of USA economy," Resources Policy, Elsevier, vol. 82(C).
    17. Lizhan Cao & Zhongying Qi, 2017. "Theoretical Explanations for the Inverted-U Change of Historical Energy Intensity," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    18. Sijia Li & Meichen Fu & Yi Tian & Yuqing Xiong & Cankun Wei, 2022. "Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(7), pages 1-18, June.
    19. Chang, Chun-Ping & Dong, Minyi & Liu, Jiliang, 2019. "Environmental Governance and Environmental Performance," ADBI Working Papers 936, Asian Development Bank Institute.
    20. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.

    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:15:y:2023:i:18:p:13512-:d:1236436. 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.