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Spatio-Temporal Evolution and Identification of Obstacles to High-Quality Economic Development in the Yellow River Basin

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  • Xiaoyu Wu

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

  • Chengxin Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    Center for Yellow River Civilization and Sustainable Development, Provincial-Ministerial Collaborative Innovation Center for Yellow River Civilization, Henan University, Kaifeng 475001, China)

  • Zhenxing Jin

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

  • Guangzhi Qi

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

Abstract

The Yellow River Basin (YRB) is a significant economic development region in China; however, it faces the challenge of underdeveloped economic levels, which impacts the sustainable development of the national economy. This study constructs an index system for high-quality economic development (HQED) based on five development concepts. The CRITIC method was utilized to comprehensively evaluate 78 prefecture-level cities in the YRB from 2000 to 2022. Techniques such as the Dagum Gini coefficient, exploratory spatial data analysis, Markov chain analysis, and the obstacle degree model were employed to investigate the temporal and spatial evolution of HQED levels and their associated obstacles in the YRB. The findings indicate a positive temporal trend in the HQED index, with increasing intra-group differences and overlapping issues among regions, while inter-group differences are decreasing. Nevertheless, the primary contradiction in the YRB continues to arise from inter-group disparities. Spatially, the development regions are predominantly centered around provincial capitals, exhibiting a pronounced “fault line” phenomenon and characteristic “spatial proximity”. In terms of evolutionary trends, the likelihood of each region maintaining its current state is relatively high; however, regions with higher-quality neighborhoods demonstrate a lower probability of stability and a greater likelihood of upward mobility. The positive impacts of high-quality neighborhoods outweigh the negative effects associated with low-quality areas. In terms of obstacles, factors such as sharing and coordination hinder progress in HQED in the YRB, with challenges related to coordination, innovation, and openness intensifying in recent years.

Suggested Citation

  • Xiaoyu Wu & Chengxin Wang & Zhenxing Jin & Guangzhi Qi, 2025. "Spatio-Temporal Evolution and Identification of Obstacles to High-Quality Economic Development in the Yellow River Basin," Sustainability, MDPI, vol. 17(11), pages 1-21, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4811-:d:1662940
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    References listed on IDEAS

    as
    1. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    2. Liang, Qi & Teng, Jian-Zhou, 2006. "Financial development and economic growth: Evidence from China," China Economic Review, Elsevier, vol. 17(4), pages 395-411.
    3. 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.
    4. Sylviane GUILLAUMONT JEANNENEY & PING HUA & ZHICHENG LIANG, 2006. "Financial Development, Economic Efficiency, And Productivity Growth: Evidence From China," The Developing Economies, Institute of Developing Economies, vol. 44(1), pages 27-52, March.
    5. Paul G. Bain & Pieter M. Kroonenberg & Lars-Olof Johansson & Taciano L. Milfont & Charlie R. Crimston & Tim Kurz & Ekaterina Bushina & Carolina Calligaro & Christophe Demarque & Yanjun Guan & Joonha P, 2019. "Public views of the Sustainable Development Goals across countries," Nature Sustainability, Nature, vol. 2(9), pages 819-825, September.
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