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The coupling coordination of social and economic upgrading in China: Evolution, regional disparities and influencing factors

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Abstract

Social upgrading does not inherently follow economic upgrading; rather, they present a complex interplay. This paper, focusing on China, utilizes the coupling coordination degree and a panel regression model to shed light on the intricate interaction between social upgrading and economic upgrading. It is found that the coupling coordination degree of social and economic upgrading in China has improved from 0.33 to 0.49 since the mid-1990s, undergoing a shift from a stage of slight imbalance to low-level coordination. However, significant regional disparities are present in terms of economic upgrading, social upgrading, and their coupling coordination degree. Developed areas exhibit a higher degree of coupling coordination compared to less developed regions, indicating a connection between the coupling coordination degree and the level of economic growth. Economic globalization, public governance, and the legal environment positively impact the coupling coordination between social and economic upgrading, while economic privatization and corporate violations of law exert negative effects. The paper concludes with policy discussions for enhancing the coupling coordination between social and economic upgrading.

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Authors and Affiliations

  1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China

    Gengzhi Huang, Shuyi Liu, Bowei Cai & Bo Wang

  2. Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519082, Guangdong, China

    Gengzhi Huang & Bo Wang

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  1. Gengzhi Huang
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  2. Shuyi Liu
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  3. Bowei Cai
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  4. Bo Wang
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Correspondence to Gengzhi Huang.

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Foundation: National Natural Science Foundation of China, No.42122007, No.41930646

Author: Huang Gengzhi, PhD and Professor, specialized in urban and social geographies.

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Huang, G., Liu, S., Cai, B. et al. The coupling coordination of social and economic upgrading in China: Evolution, regional disparities and influencing factors. J. Geogr. Sci. 34, 835–854 (2024). https://doi.org/10.1007/s11442-024-2229-8

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  • DOI: https://doi.org/10.1007/s11442-024-2229-8

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