Research On Science And Technology Policy Performance Eveluation From The Perspective Of Knowledge Flow

In the21st century, the competition between countries and countries, enterprises and enterprises, is more and more relying on technology progress. The trend of economy knowledgelization and knowledge economization is increasingly significant. Since the reform and opening, our country economy has realized the continuous rapid development. However, previous economic growth pattern dies. In particular, as a result of the global financial storm, the coastal areas of processing trade type enterprise have collapsed. This sounded the alarm extensive economic development pattern in our country. In recent years, the world is in a period of continuous economic downturn. In the face of difficult factors in many aspects, including complicated international economic situation and our country economic transformation and upgrading of economic structure, we need to review the current country science and technology policy and the operation of national innovation system following the perspective of knowledge development rule.Existing research on the performance of science and technology policy mainly uses the method of data envelopment analysis (DEA) to carry out quantitative analysis. Especially in recent years, based on the experience of the innovation system efficiency evaluation, scholars put innovation system into R&D subsystem and economic subsystem. This helps to explore the deep reasons of DEA invalid region, and can provide better suggestions and countermeasures. This makes up for the traditional general decision making units as the whole of input and output. Because this method treated the innovation system as a "black-box", yet ignored the internal structure and mutual relations. However, this makes no contribution to comprehensively review the whole process of innovation performance.This paper based on the process flow of knowledge innovation system, namely, the knowledge creation, knowledge diffusion and application of knowledge in three stages. Then, we follow Fare and Grosskopf (2000) proposed a network DEA model under the influence of Fare and Grosskopf (2000), considering undesirable output and building a three-stage network DEA evaluation model, meanwhile based on the overall efficiency of China’s28provinces and cities between2002-2011and knowledge creation, knowledge diffusion and knowledge of effective efficiency empirical analysis applications. Then, using the model estimates the value of China’s 28provinces and cities in the efficiency of the overall efficiency and knowledge creation, knowledge diffusion and knowledge application stage of the2002-2011years. The results showed that among the provinces between2002-2011mean overall efficiency DEA invalid, this shows that China invested enormous human and material resources and financial resources have not been fully utilized, the national science and technology policies of system failure. In various stages of the analysis, we can see that, on the whole, the average efficiency of knowledge creation, knowledge application and knowledge diffusion efficiency mean average efficiency in descending order, which is our long-standing neglect of important research results of scientific and technological achievements transfer transformation. More economically developed regions, the greater its technology investment is, the more its scientific output is, but the efficiency of knowledge into applications with increased output, is reduced rather than increased, namely the operating efficiency of the system declines as the application of knowledge outputs grows. This reflects our innovation system, especially the eastern part of the innovation system problem that knowledge application stage efficiency values pulled the overall efficiency of their innovation systems, and knowledge application stage efficiency relatively promote the values of the western region, therefore, it is needed to adjust the eastern and technology policy inprove the transfer and transformation of scientific and technological achievements, the western region will need a modest increase in R&D investment according to the status of their economies. Finally, the main technological investment to enhance the quality of output from promoting knowledge transfer and scientific and technological achievements into the corresponding countermeasures and suggestions as are given below.