Does Data Factors Promote the Growth of China's Manufacturing Industry?——Analysis Based on Forest Machine Learning
This paper uses 30 input factors at the provincial level in China from 2012 to 2019,and adopts causal forest and random forest methods to conduct an empirical test on the effect,contribution,marginal return law and intrinsic mechanism of data factors in promoting manufacturing growth.Research has found that the input of data factors significantly promotes the growth of China's manufacturing industry.Among the many factors that affect the growth of the manufacturing industry,the importance and contribution rate of data factors are relatively high,fully indicating that data has become one of the key input factor affecting the growth of China's manufacturing industry and has a significant contribution to the growth of the manufacturing industry.When the input of other factors remains unchanged,the growth rate of manufacturing output decreases with the increase of data factors input,which shows that data factors follow the law of marginal diminishing returns in the growth of manufacturing.Mechanism analysis shows that the improvement of data mining capabilities enhances the effect of data factors on promoting manufacturing growth.In view of this,it is necessary to accelerate the improvement of data property rights,trading,and disclosure systems,and strive to cultivate an efficient and orderly data factors trading market.At the same time,optimize the supply of data labor,increase data capital investment,and improve the application level of data technology,in order to effectively release the value of data factors.
data factorsmanufacturing industryrandom forestcausal forestmachine learning
NETL
NSTL
万方数据
