Empirical Study On The Impact Of The Convergence Of Regional Manufacturing Industry And Information Service Industry On Manufacturing Productivity In China

Manufacturing industry has always been one of the important pillars of China’s economy and has also played a great role in promoting the vigorous development of market economy.With the development of market economy and the deepening of economic exchanges among countries in the world,the manufacturing industry around the world presents a new form of development.In 2015,Made in China 2025 signed and approved by Premier Li Keqiang regarded the deep convergence of information technology and manufacturing industry as the main line of manufacturing development.Information service industry can provide all kinds of information technology and information services,and the integrated development of manufacturing industry and information service industry makes the progress of information technology can also be practiced in manufacturing industry,so as to improve the productivity of manufacturing industry.Therefore,this paper will deeply study the impact of the convergence of regional manufacturing industry and information service industry on manufacturing productivity,so as to provide reference for improving manufacturing productivity,which has important practical significance.Based on the existing theories and literature,this paper selects the relevant data of information service industry and manufacturing industry in relevant provinces of China from2010 to 2019.Firstly,it analyzes the development status of regional manufacturing industry and information service industry in China.Secondly,define the definition of industrial convergence,calculate the industrial convergence degree of manufacturing and information service industries in relevant provinces based on the coupling coordination degree model,and analyze the industrial convergence at the regional level.Thirdly,the DEA-Malmquist model is used to calculate the total factor productivity of manufacturing industry.On this basis,it empirically analyzes the impact of industrial convergence among developed regions,underdeveloped regions,developed regions and underdeveloped regions on the total factor productivity of manufacturing industry.The research conclusions are as follows:1.Conclusion on the industrial convergence degree of China’s regional manufacturing industry and information service industry(1)Developed regions: Jiangsu Province has the highest level of industrial convergence;The second is Zhejiang Province and Shandong Province,whose industrial convergence development level is similar;Thirdly,the level of industrial convergence development of Fujian Province and Beijing is also relatively close;The area with the lowest level of industrial convergence development is Tianjin.The coupling coordination degree of Jiangsu Province was 0.520161 in 2010,and the coupling coordination degree increased year by year.In 2019,the coupling coordination degree reached 0.763529,indicating that the development of manufacturing industry and information service industry in Jiangsu Province is more and more coordinated.In 2010,the coupling coordination degree of manufacturing industry and information service industry in Zhejiang Province and Shandong Province was 0.483954 and 0.428457 respectively,and the coupling coordination degree increased year by year.In 2019,the coupling coordination degree of Zhejiang Province and Shandong Province reached 0.662995 and 0.602594 respectively.The data show that the manufacturing industry and information service industry in Zhejiang Province and Shandong Province developed from the verge of imbalance to barely coordinated and then to primary coordination,However,the overall level of industrial convergence is lower than that of Jiangsu Province.The coupling coordination degree of Fujian Province was 0.40366620 in 2010 and 0.521569 in 2018.Within the sample range,the manufacturing industry and information service industry in Fujian Province have developed from being on the verge of imbalance to barely coordinated.The industrial convergence level of manufacturing industry and information service industry in Fujian Province is lower than that in Jiangsu Province,Zhejiang Province and Shandong Province.From 2010 to 2019,the convergence level of Beijing’s manufacturing industry and information service industry has been on the verge of imbalance,and its coupling co scheduling has increased from 0.436529 to 0.485388.The relocation of manufacturing industry in Beijing has led to difficulties in improving the degree of coupling and coordination.From 2010 to 2019,the coupling coordination degree of Tianjin increased from0.30291 to 0.358595,which has been in a state of mild imbalance.Among the provinces,cities and autonomous regions studied in developed regions,the convergence level of manufacturing and information service industry in Tianjin is the worst.(2)Underdeveloped areas: Anhui Province has the highest level of industrial convergence,followed by Inner Mongolia Autonomous Region,while Gansu Province,Qinghai Province and Ningxia Hui Autonomous Region have similar level of industrial convergence and low level of industrial convergence.In 2010,the coupling coordination degree of Anhui Province was 0.337619,and the coupling coordination degree increased year by year.In 2019,the coupling coordination degree of Anhui Province was 0.495695.The manufacturing industry and information service industry in Anhui Province are developing,and the degree of convergence is the best among the provinces,cities and autonomous regions studied in underdeveloped areas,and the development trend is more optimistic.In 2010,the coupling coordination degree of Inner Mongolia Autonomous Region was 0.282065,which first increased and then fluctuated.In2019,the coupling coordination degree of Inner Mongolia Autonomous Region was 0.310129.The convergence level of manufacturing industry and information service industry in Inner Mongolia Autonomous Region is second only to Anhui Province among developed regions,but it fluctuates greatly in recent years.In 2010,the coupling coordination degrees of Gansu Province,Qinghai Province and Ningxia Hui Autonomous Region were 0.230998,0.229126 and 0.22572720 respectively.In 2019,the coupling coordination degrees of Gansu Province,Qinghai Province and Ningxia Hui Autonomous Region were 0.268929,0.256215 and0.254793 respectively.In the provinces,cities and autonomous regions studied in underdeveloped areas,the industrial convergence level of Gansu Province,Qinghai Province and Ningxia Hui Autonomous Region is poor.(3)Conclusion of overall and comparative analysis between developed and underdeveloped regions: the overall convergence of manufacturing and information service industry in developed and underdeveloped regions is poor,and most of them are in a state of imbalance to varying degrees.Among them,Jiangsu Province,Shandong Province and Zhejiang Province among the developed regions have the best industrial convergence level and have reached the coordination level.Secondly,Beijing in developed areas,Fujian Province and Anhui Province in underdeveloped areas are at the same level and are now on the verge of imbalance.Thirdly,the industrial convergence level of Tianjin in developed areas and Inner Mongolia Autonomous Region,Gansu Province,Qinghai Province and Ningxia Hui Autonomous Region in underdeveloped areas is the worst,which is in the imbalance stage of varying degrees.2.Empirical conclusion on the impact of the convergence of China’s regional manufacturing industry and information service industry on manufacturing productivity(1)Empirical conclusions of developed regions:(1)conclusion of the impact of industrial convergence of manufacturing industry and information service industry on total factor productivity of manufacturing industry.Ln CR(industrial convergence degree)has a positive impact on ln TFP(total factor productivity),which has a significant impact at the significance level of 1%,and the regression coefficient is 0.281,which indicates that the increase of industrial convergence degree promotes the improvement of manufacturing total factor productivity in developed areas.(2)Conclusion of the impact of industrial convergence degree of manufacturing industry and information service industry on the decomposition item of total factor productivity of manufacturing industry.The impact of ln CR on ln Tech(technological progress)is positive,with a significant impact at the significance level of 1%,and the regression coefficient is 0.471,which indicates that the increase of industrial convergence promotes the improvement of manufacturing technological progress in developed areas.The impact of ln CR on ln PE(pure technical efficiency)is negative,which has a significant impact at the significance level of 1%,and the regression coefficient is-0.247,which indicates that the increase of industrial convergence inhibits the improvement of manufacturing total factor productivity in developed areas.Ln CR has no significant effect on ln SE(scale efficiency).(2)Empirical conclusions of underdeveloped areas:(1)the conclusion of the impact of the industrial convergence of manufacturing and information service industry on the total factor productivity of manufacturing industry.The impact of ln CR on ln TFP is positive,with a significant impact at the significance level of 1%,and the regression coefficient is 0.431,which indicates that the increase of industrial convergence promotes the improvement of total factor productivity of manufacturing industry in underdeveloped areas.(2)Conclusion of the impact of industrial convergence degree of manufacturing industry and information service industry on the decomposition item of total factor productivity of manufacturing industry.The impact of ln CR on ln Tech is positive,with a significant impact at the significance level of 1%,and the regression coefficient is 0.615,which indicates that the increase of industrial convergence promotes the improvement of manufacturing technological progress in underdeveloped areas.The impact of ln CR on ln PE is positive,with a significant impact at the significance level of 5%,and the regression coefficient is 0.081,which indicates that the increase of industrial convergence promotes the improvement of pure technical efficiency of manufacturing industry in underdeveloped areas.Ln CR had no significant effect on ln SE.(3)Conclusions of comparative analysis between developed regions and underdeveloped regions:(1)the impact of developed regions and underdeveloped regions model ln CR on ln TFP is positive,with significant impact at the significance level of 1%,and the coefficients are 0.281 and 0.431 respectively,indicating that the impact of the convergence of manufacturing and information service industries on the total factor productivity of manufacturing industry in underdeveloped regions is greater than that in developed regions,In other words,the improvement of the convergence of the two industries in underdeveloped areas plays a greater role in promoting the improvement of total factor productivity of manufacturing industry.(2)The impact of developed and underdeveloped regions model ln CR on ln Tech is positive,and has a significant impact at the significance level of 1%,with coefficients of 0.471 and 0.615 respectively,indicating that the impact of industrial convergence of manufacturing industry and information service industry on manufacturing technology progress in underdeveloped regions is greater than that in developed regions,In other words,the improvement of the convergence of the two industries in underdeveloped areas will play a greater role in promoting the technological progress of manufacturing industry.(3)The impact of developed and underdeveloped regions model ln CR on ln PE is negative and positive respectively,which has a significant impact at the significance level of 1%and 5%,and the coefficients are-0.247 and 0.081 respectively,indicating that the degree of industrial convergence inhibits the pure technical efficiency of developed regions and promotes the pure technical efficiency of underdeveloped regions.The influence of ln CR model in developed and underdeveloped areas on ln SE is not significant.Based on the above research conclusions,this paper puts forward policy suggestions on industrial convergence and total factor productivity.