Research on the Impact of Open Government Data on Total Factor Productivity
[Objective/Significance]Existing research lacks empirical research and quantitative analysis on the relationship between OGD and economic growth,making it difficult to reflect and interpret its driving role.[Methods/Processes]This article used the DEA Malmquist index method to measure the total factor productivity of 19 major cities in China,and used the production function method to measure the resource allocation efficiency of each city over the years.The relationship between OGD and total factor productivity was studied.[Limitations]Considering the lack of mechanisms that affect total factor productivity,the data may not be comprehensive,and the absence and measurement of some variables have certain limitations.[Results/Conclusions]The study found that the openness of government data can significantly promote the improvement of total factor productivity,and the mediating effect of innovation level and optimization of factor allocation efficiency accounts for more than 50%of the total effect of open government data on promoting total factor productivity.
Open Government DataTotal Factor ProductivityDouble Difference Model
NETL
NSTL
万方数据
