How Do Data Factors Drive Productivity Improvement in China's Manufacturing Industry?
The role of traditional factors in promoting the improvement of manufacturing productivity is constantly declining.Under the requirements of high-quality development of manufacturing industry,whether data factors can become the new driving force for the improvement of manufacturing productivity is an urgent question to be answered after China enters the era of digital economy.Therefore,based on China's inter-provincial panel data from 2012 to 2019,this paper uses double machine learning to explore the impact of data factors on manufacturing productivity.It is found that data factors significantly promote the improvement of China's manufacturing productivity.In terms of influencing mechanism,data factors can promote the improvement of manufacturing produc-tivity by improving data mining level,capital and technological efficiency.Heterogeneity analysis shows that data factors have more significant productivity improvement on technology-intensive manufacturing industries and manufacturing industries in eastern and southern regions of China,and the north-south gap of data factors on manufacturing productivity is smaller than the east-west gap.Time trend analysis indicates that,data factors have an increasingly significant role in improving the productivity of China's manufac-turing industry after entering the first year of big data.
Data FactorsManufacturing IndustryProductivityDouble Machine Learning
万方数据
维普
