Empirical Research On Difference And Infuence Factors Analysis Of Regional Innovation Output

In today's world, technological innovation activities have been an important engine to drive economic increase, to which the government and the enterprises attach great importance. To enhance the implementation of technological innovation projects, the government takes an active role to establish guiding and assisting policy and the enterprises also improve their innovative capability through various ways such as self-innovation and innovation association. The provinces'input and intensity contribution in R&D are increasing year by year and so is the ratio of innovation fruits, which result in a good development state, an increasingly enhanced innovative ability and a series of positive results. However, there is a problem of imbalance of innovation input and capability development. The geographical distribution of innovation ability not only influences the innovation scale of the regions, but also generates different economic growth effects on them, which in turn may result in exacerbating already-existing regional imbalanced economic development in our country.The paper gathers and reorganizes the provincial data over the years about technological innovation activities from the statistical yearbooks and the websites of concerned departments, aiming to study the differences and influence factors of regional innovation output in our country. By analyzing the features of the data, we find that input level determines that of output, the R&D activity scales among different provinces have obvious differences, and meanwhile, the R&D activity scales increase with the yearly increase and economic activity scales. The differences among the provinces become obvious, presenting a trend of rapid development of the whole technological innovation capability along with the contradiction of imbalance in the speed of regional development. In the exploring analysis into the data features, the paper draws the conclusion that individual differences and yearly increase coexist, based on which the paper checks and optimizes the unbiasedness and consistency of estimating coefficients to draw a more scientific conclusion by applying Griliches-Jaffe knowledge production function, establishing two-way fixed effects model and other kinds of estimating methods of Panel data model. The paper estimates the technological innovation efficiency level of our country's31provinces and provincial administrative regions and ranks them. Some provinces with good economic foundation and fast development have the highest effficiency.They are successively Shanghai, Beijing, Guangdong, Jiangsu and Zhejiang. Also, some provinces with the most dramatic innovation efficiency are9western provinces and Hainan which is an investment hot spot, whose R&D technological innovation environment is unstable. The study also finds that the provinces with a larger R&D activity scale and a stable innovation environment have higher innovation efficiency, which agrees with the general law governing the flow of productive factors. As for the regional study, we find that the East has the highest output efficiency, followed successively by the Central Region and the West. Among them, the innovation efficiency in Jingjinji Zone, Yangtze River Delta and Pearl River Delta is well above that of other areas, while the industrial provinces with material and basic industries have lower efficiency. We also find the output level with the same input depends on economic, geographical and human social environment, and output efficiency is proportional to the degree of economic development. In the study about the factors of the output, the paper applies two-stage regression to estimate the stock of FDI, total volume of import and export, and the influence of technological market vitality on innovation. The study finds FDI and total volume of import and export have an obvious positive driving effect on the efficiency of innovation output, and can improve the R&D level of the region, while the driving effect of technological market vitality is less obvious.Finally, for the problems detected in the empirical results, the paper gives several policy suggestions, including balancing the supporting policy to regional innovation, strengthening the support for the Central Region, streamlining the flow of innovative resources to enhance the support for the West, enhancing the quality of industry-academia-research cooperation in colleges and universities to improve the structure of innovative input in our country, further enhancing the marketability of the whole country, especially the West and bringing in FDI to encourage trade cooperation and technological exchange between domestic and foreign enterprises. Meanwhile, the paper also points out potential problems as further study directions.