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The spatial correlation network structure and its formation mechanism of urban high-quality economic development: a comparative analysis from the Yangtze River Economic Belt and the Yellow River Basin in China

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Abstract

In the context of regional integration, it is more than crucial to compare and analyze the spatial correlation network structure and formation mechanism of high-quality economic development in the Yangtze River Economic Belt and the Yellow River Basin urban cities as an attempt to strengthen collaborative work on high-quality economic development in both river basins. The paper measured high-quality economic development of the Yangtze River Economic Belt and the Yellow River Basin from 2010 to 2021. Then, it employed social network analysis and the QAP method to study the network structure’s characteristics and formation mechanism. The conclusion of the research illustrates a few points clearly that first, the high-quality economic development of the two rivers presents a complex and multithreaded network structure. Although the network structure is hold at a comparatively stable state, the correlation degree needs improvement. Second, cities such as Chongqing, Wuhan, Hefei, Nan**g, Hangzhou, Shanghai, and Changsha and cities like Zhengzhou, **’an, Luoyang, Yulin, Hulunbuir, Ordos, and Nanyang are at the very central as well as central position of the network. The spatial correlation networks of the Yangtze River Economic Belt and the Yellow River Basin can be divided into four plates: “agent plate,” “main outflow plate,” “bidirectional spillover plate,” and “main inflow plate.” Third, reverse geographical distance and differences in the digital economy attach great significance to the spatial correlation networks of the two basins. The difference in urbanization level makes significant impacts only on the spatial correlation network of the Yangtze River Economic Belt, while the difference in environmental regulation and material capital accumulation only significantly influences the spatial correlation network of the Yellow River Basin.

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Funding

This work has been partially supported by the National Natural Science Foundation of China (Grant No. 72073030).

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Tiantian Li: conceptualization, investigation, methodology, resources, validation, writing—original draft, and writing—review and editing. Azhong Ye: funding acquisition and supervision. Yuanye Zhang: data process. Lingqun Zhu: data curation.

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Correspondence to Azhong Ye.

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Appendix 1

Appendix 1

Table 7

Table 7 Abbreviations of 189 cities

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Li, T., Ye, A., Zhang, Y. et al. The spatial correlation network structure and its formation mechanism of urban high-quality economic development: a comparative analysis from the Yangtze River Economic Belt and the Yellow River Basin in China. Environ Sci Pollut Res 31, 23728–23746 (2024). https://doi.org/10.1007/s11356-024-32657-8

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