Technological Innovation Effect Analysis of Government Big Data Policy——Estimation Based on PSM-DID Method postprint

Abstract: [Purpose/significance] Technological innovation is an important driving factor for economic development and transformation. We attempt to empirically analyze the technological innovation effect of China government big data policy, which will help to promote the national innovation driven development strategy and the deep integration of data elements and technical elements,realizing linkage innovation and open innovation.[Method/process] Based on the action plan for big data development and the establishment of the national comprehensive test area for big data, this paper took the panel data of 31 provinces in China from 2000 to 2019 as the research sample, and used Propensity Score Matching method to analyze the tendency score matching between the experimental group and the control group. In addition, this paper utilized the Difference in Differences method to double difference the matched samples, and used the method of variable replacement to test the robustness, so as to explore the relationship between the government big data policy and technological innovation.[Result/conclusion] By solving the endogenous problem of public policy and the non observability of virtual facts, we have found that government big data policy can promote technological innovation.