Statistical Measure And Evaluation Of Total Factor Productivity Under The Background Of R＆D Capitalization Of Chongqing Manufacturing Industry

At present,China’s economy has shifted from the stage of rapid growth to the stage of high-quality development.In order to change the development mode,optimize the economic structure,implement the new development concept and build a modern economic system,the report of the 19 th CPC National Congress puts forward the requirements of "improving total factor productivity and accelerating the construction of real economy".The real economy is the foundation of the national economy,the manufacturing industry is the main body of the real economy,which is the foundation of establishing and strengthening Chongqing.In the context of the new era,improving total factor productivity is an important way for Chongqing’s manufacturing industry to achieve high-quality economic development.Clarify the development status of various manufacturing industries in Chongqing,increase the R＆D investment of manufacturing enterprises,improve the scientific and technological innovation level of manufacturing industry,win the key core technology breakthrough,accelerate the supply side structural reform of manufacturing industry,and realize the transformation and upgrading of industrial structure,It provides an empirical basis for accelerating the high-quality development of manufacturing industry in Chongqing.On the basis of in-depth analysis and summary of relevant theoretical knowledge and research status at home and abroad,this paper firstly reviews the theory and measurement methods of R＆D capital stock and total factor productivity,and expounds in detail the methods of measuring R＆D capital stock and total factor productivity of Chongqing manufacturing industry and the determination of variables.Then,based on the existing research results and the availability of relevant data,three methods（PIM,Griliches and BEA）were used to measure the R＆D capital stock of Chongqing manufacturing industry from 2011 to 2020.The results of the BEA method were selected as the input variable to measure total factor productivity.DEA-Malmquist index method was used to calculate the total factor productivity of Chongqing manufacturing industry from2011 to 2020,and a digital economy index system was constructed to study the impact of digital economy and other factors on total factor productivity,so as to put forward effective policy suggestions for improving the technological innovation level and transformation and upgrading of Chongqing manufacturing industry.The research shows that the manufacturing R＆D capital stock in Chongqing shows an overall growth trend from 2011 to 2020.The growth is relatively gentle in the early stage,and the fluctuation is significant in the later stage,with a large increase range and a relatively stable growth rate.The R＆D capital stock of high-tech industry is relatively large,while the R＆D capital stock of traditional manufacturing industry is increasing year by year,but it is relatively small in general,and the gap of R＆D capital stock in various industries is obvious.On the whole,the growth of total factor productivity of Chongqing manufacturing industry from 2011 to 2020 is not optimistic.The growth of total factor productivity of most industries is slow or unchanged,especially that of traditional manufacturing industry is obviously lower than that of high-tech industry.And the level of total factor productivity showed an alternation during the decade.It is found that digital economy,industrial structure,degree of opening to the outside world and degree of government intervention all play a significant positive role in improving the total factor productivity of Chongqing manufacturing industry.Therefore,this paper puts forward policy suggestions to promote the further development of manufacturing industry in Chongqing.