The Impact of the Digital Economy on the Efficiency of Healthcare Resource Allocation in China: Based on Panel Data 2012-2022
Abstract
The main purpose of the article in to study the impact of the development of digital economy on the efficiency of healthcare resource allocation in China , and to explore the specific mechanism of action and regional heterogeneity of its efficiency enhancement. Based on the panel data of 30 provinces in China from 2012 to 2022, the article constructs a two-way fixed-effects model, taking the level of digital economy development as the core explanatory variable, the healthcare resource allocation efficiency measured by the Envelopment of Data Approach (EDA) as the explanatory variable, and gradually introduces control variables such as the level of urbanisation, the level of economic development, the level of education, and the fiscal expenditure. In addition, the article adopts three-level indicator substitution of explanatory variables and principal component analysis (PCA) instead of entropy weight method (EWM) accounting, Tobit regression and other methods to carry out the robustness test, and explores the heterogeneous impact of the digital economy in the eastern, central and western regions through group regression. The results of the study show that the digital economy significantly improves the efficiency of healthcare resource allocation, and this effect remains robust after introducing different control variables. The reliability of the model and the robustness of the results are further verified by robustness tests. Heterogeneity analysis shows that the digital economy has the most significant effect on healthcare resource allocation efficiency in the eastern region, while it is relatively weaker in the central and western regions. The findings of the article not only enrich the research on the digital economy and healthcare resource allocation efficiency, but also provide policy references for optimising healthcare resource allocation. It is recommended to strengthen the construction of digital infrastructure in the future and formulate policies according to local conditions to promote the balanced development of regional medical resources.
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