Measurement And Application Of Total Factor Productivity

The report of the 19 th National Congress of the Communist Party of China proposes to "promote the reform of the quality,efficiency and power of economic development,and improve the total factor productivity".Total Factor Productivity(TFP)is mainly used to describe the contribution of scientific and technological progress,technical efficiency and scale effect to economic growth.It is an important driving force for national economic growth and is closely related to the development of the national economy.s concern.While TFP is a descriptive indicator,it is unobservable,and there is no unified standard for its measurement method.This paper focuses on the measurement and application of TFP.The main contents are as follows:(1)This paper proposes a method combining stochastic frontier method(SFA)and data envelopment method(DEA)to measure TFP,which overcomes the problems of estimation error and decomposition bias in existing literature.Firstly,the technical efficiency and technological progress are estimated based on SFA,and then combined with the DEA-Malmquist productivity index,the TFP index of 31 provinces in my country from2001 to 2019 is measured.And Kernel kernel density estimation is used to analyze the dynamic distribution characteristics of TFP time series in each province.It can be seen from the results that the overall TFP index is on a downward trend.According to the kernel density estimation curve,it can be seen that with the progress of time,the absolute difference of TFP among provinces shows a trend of expansion;(2)In the measurement process,due to the output and input factors There is a big difference in TFP results caused by different data selection standards.In this paper,the output variable GDP is deflatored to eliminate the interference of price factors;the labor input variable is homogenized to avoid regional differences.Differences and differences in the internal structure of workers lead to overestimation of effective labor input;(3)In order to explore the spatial correlation and spatial spillover effect of various regions in my country,this paper adopts Exploratory Spatial Data Analysis(ESDA)method to analyze the spatial distribution and spatial distribution of TFP.Agglomeration studies.From the results of the spatial correlation test,it can be seen that there is a significant positive spatial correlation between high agglomeration and low agglomeration in most provinces.(4)In order to explore the influencing factors of TFP,this paper uses the spatial Durbin model to analyze the influence mechanism of my country's TFP from the perspectives of technological progress,industrial structure,institutional changes,economic development level,foreign capital utilization and independent innovation.It can be seen from the results that the level of economic development,the degree of foreign capital utilization,technological innovation and independent innovation have a positive effect on the improvement of TFP;institutional changes have hindered the growth of TFP;and the impact of industrial structure on TFP is not significant.This paper provides a reference measurement process for measuring TFP,enriches the methods of TFP research in various fields,provides a reference for the processing of input and output indicators,and helps to evaluate my country's economic growth efficiency more objectively.It provides a reference basis for formulating economic development strategies.