IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14179-d958317.html
   My bibliography  Save this article

Measurement of Spatio-Temporal Differences and Analysis of the Obstacles to High-Quality Development in the Yellow River Basin, China

Author

Listed:
  • Zengwei Feng

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

  • Yiyan Chen

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

  • Xiaolin Yang

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

Based on a new development philosophy, this paper constructs an index system for measuring and evaluating high-quality developments in the Yellow River Basin using the entropy weight TOPSIS model and the obstacle degree analysis model to carry out a diagnostic analysis of the spatio-temporal differences in the level of high-quality development and obstacle factors in nine Yellow River Basin provinces from 2010 to 2020. The results show that: (1) During the period 2010–2020, the Yellow River Basin’s high-quality development index showed a rising trend and the subindexes showed a trend of “coordinated development > shared development > green development > open development > innovative development”. However, the overall level of high-quality development in the basin is not high, and there is still much room for improvement. (2) The global Moran’s I of the high-quality development indexes in 2010, 2015 and 2020 are −0.216, −0.204 and −0.103, respectively, indicating that the level of high-quality development in each province and region within the Yellow River Basin is discrete and develops in a spatially unbalanced direction. (3) The obstacle degree analysis shows that green development, innovation development and open development are the main bottlenecks affecting the high-quality development of the basin. The restrictive role of green development is increasingly prominent, and the low level of scientific and technological innovation and achievement transformation, serious resource consumption and low resource utilization rate of industrial development, in addition to the low level of openness to the outside world are becoming key factors hindering the high-quality development of the provinces in the Yellow River Basin.

Suggested Citation

  • Zengwei Feng & Yiyan Chen & Xiaolin Yang, 2022. "Measurement of Spatio-Temporal Differences and Analysis of the Obstacles to High-Quality Development in the Yellow River Basin, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14179-:d:958317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14179/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/21/14179/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu Chen & Qianqian Miao & Qian Zhou, 2022. "Spatiotemporal Differentiation and Driving Force Analysis of the High-Quality Development of Urban Agglomerations along the Yellow River Basin," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    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. Xu Dong & Yang Chen & Qinqin Zhuang & Yali Yang & Xiaomeng Zhao, 2022. "Agglomeration of Productive Services, Industrial Structure Upgrading and Green Total Factor Productivity: An Empirical Analysis Based on 68 Prefectural-Level-and-Above Cities in the Yellow River Basin," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    2. Xiaoyan Ren & Yuhao Yang & Zongming Wang, 2023. "A Long-Term and Comprehensive Assessment of the Ecological Costs Arising from Urban Agglomeration Expansion in the Middle Reaches of the Yellow River Basin," Land, MDPI, vol. 12(9), pages 1-22, September.
    3. Guangchao Wen & Bingjie Wu & Lin Wang & Xiaohe Wang & Hongbo Xie, 2023. "Analysis of Eco-Environmental Geological Problems and Their Driving Forces in the Henan Section of the Yellow River Basin, China," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    4. Wei Wei & Chenggong Jin & Ying Han & Zhenhui Huang & Tong Niu & Jinkai Li, 2022. "The Coordinated Development and Regulation Research on Public Health, Ecological Environment and Economic Development: Evidence from the Yellow River Basin of China," IJERPH, MDPI, vol. 19(11), pages 1-23, June.
    5. Tao Luo & Zijing Zhang & Xinchen Hong & Yanyun Wang & Xuewei Zhang, 2022. "Evaluating Spatial Identity Based on Climate Adaptation in Small Cities," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
    6. Dingqing Wang & Enqi Zhang & Hongwei Liao, 2022. "Does Fiscal Decentralization Affect Regional High-Quality Development by Changing Peoples’ Livelihood Expenditure Preferences: Provincial Evidence from China," Land, MDPI, vol. 11(9), pages 1-20, August.
    7. Xiaoyue Li & Bin Yu & Jiaxing Cui & Yuanyuan Zhu, 2022. "Building a New Framework for Evaluating the Livability of Living Space on the Basis of the Daily Activities of Rural Residents: A Case Study of Jianghan Plain," IJERPH, MDPI, vol. 19(17), pages 1-14, August.
    8. Ting Lou & Jianhui Ma & Yu Liu & Lei Yu & Zhaopeng Guo & Yan He, 2022. "A Heterogeneity Study of Carbon Emissions Driving Factors in Beijing-Tianjin-Hebei Region, China, Based on PGTWR Model," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    9. Peizhe Shi & Zhaohan Lu & Mengqing Zhou & Ning Wang & Yuping Wu, 2023. "Niche Suitability Evaluation and Path Selection for the High-Quality Development of Cities in the Yellow River Basin," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    10. Rui Ding & Jun Fu & Yiling Zhang & Ting Zhang & Jian Yin & Yiming Du & Tao Zhou & Linyu Du, 2022. "Research on the Evolution of the Economic Spatial Pattern of Urban Agglomeration and Its Influencing Factors, Evidence from the Chengdu-Chongqing Urban Agglomeration of China," Sustainability, MDPI, vol. 14(17), pages 1-19, 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:jsusta:v:14:y:2022:i:21:p:14179-:d:958317. 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.