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Spatial–Temporal Characteristics and Driving Factors of the Coupling Coordination between Population Health and Economic Development in China

Author

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  • Hui Tang

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
    School of Architecture and Urban Planning, Hunan City University, Yiyang 413000, China)

  • Yun Chen

    (School of Tourism and Culture Industry, Chengdu University, Chengdu 610106, China)

  • Rongjun Ao

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Xue Shen

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

  • Guoning Shi

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China)

Abstract

Promoting the coordinated development of population health and the economy is an important part of building a “Healthy China” and promoting high-quality economic development. Based on the systematic construction of the population health and economic development evaluation index system, this paper uses the coupled coordination model, geodetector, and geographically weighted regression (GWR) to comprehensively measure the population health level and economic development level at the provincial scale in China in 2000 and 2015, and reveals the spatial and temporal evolution characteristics of the coupled coordination relationship between the population health level and economic development level at the provincial scale in China from 2000 to 2015 and its driving factors. The results show the following: (1) China’s population health and economic development are in a high-level coupling stage, and the coupling level increases slightly with time; spatially, two types of running-in coupling and high-level coupling coexist; the coupling degree in the eastern and central regions tends to increase, while the coupling degree in the western region tends to weaken. (2) China’s population health and economic development are in a good coupling coordination stage as a whole, and the coupling coordination degree has an increasing trend; spatially, the coupling coordination degree shows high spatial differentiation characteristics in the east and low in the west; the good and high-quality coupling coordination type area tends to expand to the west, while the moderate coupling coordination type area tends to shrink to the west; there is also positive spatial agglomeration of coupling coordination degree, and the spatial agglomeration is gradually enhanced. (3) The coupling coordination of China’s population health and economic development is driven by multiple factors such as natural conditions, health resources, culture quality, and urbanization level; the interaction between factors is stronger than that of a single factor, and the driving effect of each factor also shows significant spatial heterogeneity. This study is intended to provide a scientific basis for promoting harmonious population health and economic development.

Suggested Citation

  • Hui Tang & Yun Chen & Rongjun Ao & Xue Shen & Guoning Shi, 2022. "Spatial–Temporal Characteristics and Driving Factors of the Coupling Coordination between Population Health and Economic Development in China," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10513-:d:895681
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    Cited by:

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    2. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    3. Zhongqi Xie & Ying Zhang & Zhiqiang Fang, 2022. "The Space–Time Evolution of the Coupling and Coordinated Development of Public Cultural Services and Cultural Industries: A Case Study of 31 Regions in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    4. Zheng Qi & Qingling Li & Qiang Huang & Tianyan Wu, 2023. "Evaluation of Supply and Demand Balance and Spatial Spillover Effect of Age-Friendly Environment," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    5. Jincan Hu & Junyi Liang & Litao Tian & Shaojian Wang, 2023. "Measurement and Coupling Coordination of High-Quality Development in Guangdong Province of China: A Spatiotemporal Analysis," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    6. Jin Zhang & Shuiping Zhang & Xin Huang & Zhiwei Zhang & Chengtuo Jin, 2023. "Spatiotemporal Evolution of Coordinated Development between Economic Resilience and Green Finance under the Background of Sustainable Development," Sustainability, MDPI, vol. 15(11), pages 1-21, June.

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