Empirical Study On The Efficiency Of Knowledge-intensive Business Service By Industrial Agglomeration

With the global economy transferring from the industrial economy to service economy,the KIBS develop really fast,and it is gradually becoming the main driver of the economy and the key of industrial competition.It is of strategic significance to our nation's economy.For the past few years,with the differentiation of the internal structure of the service industry,the development of knowledge intensive service industry has grown stronger with the development of modern information and technology.So it is very important to break through difficulties of industry development in this way,and the choice to urge our economic structure and growth pattern to transform by studying and solving the efficiency of KIBS,and finally finding the ideas to promote its development through improving efficiency.This paper pays more attention to the KIBS in China,studies the efficiency and its differences in our KIBS from the aspects of industrial agglomeration.Based on the relevant theories of KIBS and industrial agglomeration,and the factual characteristics of KIBS in China,this paper reveals the mechanism of the impact of industrial agglomeration on the efficiency of KIBS,and constructs a mathematical model of the impact of industrial agglomeration on the efficiency of KIBS as the theoretical support of this paper.On the basis of the provincial panel data of China's KIBS from 2004 to 2014,using the index of location quotient to measure the industrial agglomeration,and uses Malmquist productivity index method which based on DEA to measure the agglomeration,TFP and its decomposition efficiency of technological progress,technical efficiency,pure technical efficiency and scale efficiency of China's KIBS.This paper makes a comparative analysis of the agglomeration and efficiency differences of different sub-industries in KIBS in China,and analyzes the convergence and divergence trend of efficiency differences among different industries by using the means of convergence and absolute convergence.On this basis,the Tobit model is established to empirically test the direction and extent of the impact of specialization and diversification of KIBS on TFP--TCH ? PEC and SEC of knowledge-intensive services in China.The results of the empirical test are basically in line with the theoretical analysis.The main conclusions of this study are as follows:(1)KIBS agglomeration in China has been accelerated gradually,the scale has been expanding continuously,and there is a more obvious evidence of industrial agglomeration.(2)In general,technical efficiency and technological progress efficiency are the main sources of KIBS's TFP changes in China.(3)From 2004 to 2014,the standard deviation and variation coefficient of total factor productivity in the KIBS and subdivision industries fluctuated,and there was no obvious trend of sigma convergence;the overall efficiency of KIBS in China had the absolute and conditional beta convergence trend.(4)KIBS has significant agglomeration economic effect.Diversification agglomeration is the main driving force of KIBS efficiency improvement in China,while the effect of specialization agglomeration on the efficiency of KIBS in China is different.