Dynamic analysis of the correlation effect of China's power industry during the transformation period
In order to characterize the changing trend of the fund a mental role of China's power industry during the transition period,an input-output model and six input-output tables data from 2005 to 2020 are used to dynamically analyze the correlation effects and industrial impacts between the power industry and other industries using methods such as consumption coefficient,distribution coefficient,induction coefficient,and dependency coefficient.The results indicate that the power industry,as the fundamental industry of the national economy,has a stable position and is developing towards a green and low-carbon direction.Its driving role in the secondary industry is increasingly strengthened,and the power industry plays a crucial role in the entire industry chain.At the same time,the optimization and upgrading effect of the industry is obvious.
electric power industryinput-outputindustrial correlation effectdynamic analysis
NETL
NSTL
万方数据
