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Research on the Level of Synergistic Development of Supply and Demand in China’s Health Industry

Author

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  • Lingxiang Jian

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Xueqing Yin

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Minglou Zhao

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

Abstract

This study combines the latest vague set similarity measurement method with the entropy weight TOPSIS method; furthermore, it applies the grey relational analysis method to establish a model for the synergistic development of supply and demand in the health industry, and it empirically analyzes the development status, synergy level, and synergistic development level of China’s health industry supply and demand from 2013 to 2021. The findings reveal that: (1) China’s health industry supply maintains steady growth, while demand grows rapidly. However, the overall level of supply and demand development is generally low, indicating significant potential for future development. Moreover, the development of the supply lags behind that of the demand, leading to an increasing gap year by year. (2) The level of synergy between supply and demand in China’s health industry is relatively high but is decreasing year by year. Although the degree of synergistic development between supply and demand continues to increase, it remains at a low level, indicating that high coordination between supply and demand comes at the cost of a low development level. (3) There exists a significant regional imbalance in the development of China’s health industry, with the overall difference showing a widening trend year by year. Regional disparities are the main source of the overall difference.

Suggested Citation

  • Lingxiang Jian & Xueqing Yin & Minglou Zhao, 2024. "Research on the Level of Synergistic Development of Supply and Demand in China’s Health Industry," Sustainability, MDPI, vol. 16(9), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3548-:d:1381681
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    References listed on IDEAS

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    1. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    2. Ding, Xiangyuan & Yuan, Luoqi & Zhou, Yi, 2023. "Internet access and older adults' health: Evidence from China," China Economic Review, Elsevier, vol. 82(C).
    3. A. Assaf & K. M. Matawie, 2010. "Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3547-3558.
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