| The slowdown in the global economy has led governments to re-look for economic growth.The advent of virtual technology and the era of intelligence has added new blood to the economy and life,manufacturing is an urgent that absorb employment and create value added but it needs adjust the structure and the reorganize with new technology.Market saturation and personalized customization,increasing fierce competition in the world market and people's increasing concern about the safety and health effects of products,make the product meet more stringent international standards,Chinese manufacturing,which in the past rely on low-cost competitive advantage,began to face high tariffs and anti-dumping duties.With the domestic labor,raw material prices and land costs increasing,China's ability to attract foreign investment is dropping.At the same time,Germany released the Industrial 4.0 program,relying on its own manufacturing advantages to create a new manufacturing structure,the US government actively promote the return of manufacturing investment to increase the employment of American society,while the Southeast Asian countries,which with cheap resource costs attract manufacturing industry to settled in these countries,China's manufacturing industry is facing a double squeeze,the urgent need is to rely on technological innovation and change from made in china to create in china.There are many researches on the scale of enterprises,R&D investment and TFP at home and abroad.This paper sorted and summarized the domestic and foreign literatures based on the three research priorities.In view of the differences in the selected data,the research industry and the index model,there is no uniform conclusion on the relationship between any two or three of the three index.Based on the previous research results,this paper combines the characteristics of the data and the industry to carry out the selection of indicators and the improvement of the model,hoping to enrich the research in the existing field.The second part of this paper introduces the status quo of manufacturing industry in China,including the status quo of industry and R&D.The status quo of the industry emphasizes the importance of the manufacturing industry in China's national economy,introduces the proportion of large and medium-sized enterprises in the manufacturing sector,and the proportion of operating income,which can be seen as the market concentration of the manufacturing industry,At the same time,the monthly changes in manufacturing indices over the past few years are illustrated and compared to the US manufacturing index.In the part of R&D status quo,the macro background has been first introduced,then we select three representative breakdown industries and analyzed their R&D investment and output situation.The third part of this paper is the conceptual definition and the theoretical basis,and introduces several groups of concepts that are easy to be confused,and gives the reasons why this concept is chosen.The main part of this paper introduces three closely related theories,that is,Schumpeter's innovative model,Romer's research and development model and Arrow's learn by doing model.In the past few years,our government has promulgated a number of policies to promote the development of the manufacturing industry.In order to judge the role of the policy and enrich the research in the existing field,this paper will use the panel data of China's listed manufacturing companies in 2010-2015 to explorethe relationship between enterprise scale and R&D investment,the relationship between R&D investment and the TFP of enterprises,and how the scale of enterprise effect TFP through theR&D investment.In this paper,we compare the various TFP measurement methods,and finally choose the LP method to calculate the TFP of the enterprise.When using the LP method to calculate the TFP of the enterprise,according to the characteristics of the data samples,we redefine the TFP index.After using Excel to process the data easily,this paper uses Stata13.0 as the tool of empirical analysis.After the regression of the three models,it is concluded that the scale of the firm has a positive correlation with the R&D expenditure.The larger the firm is R&D expenditure intensity has a positive effect on productivity,and R&D expenditure intensity has a positive impact on productivity.And the impact of R&D expenditure on productivity is non-linear.Only R&D expenditure reaches a critical value to have a positive effect on productivity,but there is little reach to this level in the sample company.The cross-term of R&D expenditure and enterprise size represents the measurement of the degree of how much the enterprise size effect firm productivity through the R&D expenditure intensity.Considering that this effect may be non-linear,this paper continues to join the cross-term of the firm size's square and R&D expenditure.The empirical results show that the firm size has a non-linear effecton R&D expenditure intensity to affects enterprise productivity,which is statistically significant and insignificant in economic sense.In the last part of this paper,the conclusion of this paper is presented,and three policy suggestions are put forward for the country,the board of directors and the management of the manufacturing industry.In addition,the innovation and shortcomings of this paper are introduced.The innovation of this paper is mainly reflected in the selection of indicators,which is more in line with the characteristics of listed companies and considered the indirect effect of enterprise scale on enterprise productivity.The deficiency of this paper lies in the data of listed companies which focus on financial information,so that the data disclosure is not detailed for economic research,which makes some of the important factors has not been included in the model because of the lack of data.Moreover,due to the limited research capacity of the author,there is no more analysis of this paper. |
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