| With the development of science and technology,the high-tech industry with high technology as its characteristic has been favored by all countries in the world for its high-tech innovation,high growth,and high-yield contribution.Now,the development of high-tech industry has become the key for a country to achieve industrial transformation and upgrading,to build intellectual property,and to seize the world’s high ground of science and technology.In our country,the development of high-tech industry has also become the crucial and strategic component of the implementation of innovation-driven development strategy and participation in international competition.With the implementation of a series of strategies and policies,the high-tech industries in China have achieved fruitful results and have become the important engine for economic development.However,there are also some problems in the development of high-tech industries in our country.Compared with developed countries,there are some problems such as the lack of capacity for independent innovation,the inefficiency of technological innovation,and the unsatisfactory transformation of the scientific and technological achievements.Under this background,it is of great significance to research the innovation efficiency and its influencing factors of high-tech industries in our country for understanding the present situation of high-tech industry innovation and exploring the path of efficiency improvement.Based on the theory of technological innovation and efficiency,a reasonable research framework is firstly constructed by reading and combing relevant literatures on high-tech industries,technological innovation and efficiency analysis,and a twostage DEA model in consideration of the shared inputs,additional inputs,and undesirable outputs is established on the basis of the constructed framenwork.Then,we try to measure and analyze the technological innovation efficiency of China’s high-tech industries with the DEA model from the regional perspective,and next use the Tobit model to analyze the influencing factors of the efficiency based on the DEA results.Finally,some corresponding countermeasures and suggestions will be put forward according to the empirical results.The main work and conclusions of this paper are as follows:Firstly,the literal review involving three major concepts which are high-tech industry,innovation and efficiency are made.We study the revelant researches of hightech industry,the revelant researches of the innovation and efficiency and introduce the efficiency evaluation method,namely traditional DEA method and network DEA method,and study the researches about innovation efficiency of high-tech industry in detail.Then,the descriptive statistics method is adopted to review and analyze the overall situation of the development of high-tech industries in our country and to gain a holistic view of the high-tech industry in recent years on the basis of the relevant reports and statistic data from high-tech enterprise statistic yearbooks.And the problems and dilemmas faced by high-tech industries in our country are also analyzed and summarized.Next,a two-stage efficiency analysis framework for high-tech industrry was constructed,and a two-stage DEA model considering the shared inputs,additional inputs,and undesirable outputs was also constructed based on the framework,and the solution of the new DEA method was also given.After that,the new DEA model was applied to evaluate the innovation efficiency of the high-tech industriy in our country.The empirical results show that the overall efficiency of China’s high-tech industry is not satisfactory,the average value during the period from 2006 to 2015 is only 0.544.and there is a significant difference of innovation efficiency between the different regions;Our study also find that there is a clear inconsistency of efficiency between the two stages,the efficiency of R&D stage is observably lower than another,while the gap is narrowing.When it comes to trend of efficiency,the efficiency of the production conversion stage and the entire system showed an inverted “U” change,while the efficiency of R&D stage kept growing.Afterwards,based on the results of innovation efficiency,the Tobit panel regression model was used to analyze the factors which may take effects on the efficiency of the two stages and the entire system.The empirical results show that the Enterprise Scale and R&D Intensity have a significant positive impact on the innovation efficiency of the entire system.Specifically,the Enterprise Scale has a significant positive effect on the efficiency of the R&D stage,and it has a negative effect on the efficiency of the production conversion stage,but the effect is not significant.The effects of the R&D Intensity to the efficiency of this two stages are opposite to the Enterprise Scale.The Property Rights Structure has a significant negative effect on the innovation efficiency of the entire system,and it has a negative impact on the efficiency of both sub stage.Finally,according to the empirical analysis conclusions,some specific countermeasures and suggestions from the aspects of resource input,resource allocation,and scale adjustment are put forward,and the deficiencies of this paper and future research directions are proposed. |
