Research on the Improvement Path of Performance of Government Public Health Governance Based on TOE Theory--Taking Guizhou Province as an Example

Corresponding author: wuruxin, ruxinwu@csu.edu.cn

DOI: 10.12201/bmr.202502.00050

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  Abstract: Objective: Empirically analysing the improvement path of the Guizhou municipal governments public health governance performance, to providing an effective reference for the in-depth implementation of the Healthy China strategy. Methods: Based on the TOE framework, 9 city (prefecture) governments in Guizhou Province are selected as research cases, the fuzzy set qualitative comparative analysis method and the necessary condition analysis method are jointly applied to explore the bottleneck effect, linkage effect, and path selection of big data technology, technological infrastructure, attention intensity and other conditional factors on the Guizhou Provincial Governments improvement of public health governance performance from the three dimensions of technology-organization-environment. Results: (1) A single condition does not constitute a necessary condition for high public health governance performance; (2) Big data technology plays a universal role in generating high public health governance performance for governments and is a key technological engine for governance; (3) There are two main driving models for improving the performance of public health governance by the Guizhou Provincial Government, namely the technology led+environment assisted model and the technology led+organization and environment assisted model. Conclusion: The effective combination of technology, organization, and environmental elements within each mode can enhance the performance of government public health governance in a different paths leading to the same goal manner.

  Key words: Performance of public health governance; TOE framework; Qualitative Comparative Analysis (QCA); Necessary Condition Analysis (NCA)

  Submit time: 24 February 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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