Industrial innovation platform evaluation of the effectiveness of
|School||Central South University|
|Course||Technology Economics and Management|
|Keywords||Industrial innovation platform Malmquist index DEA model Panel data model|
Implementation of independent innovation strategy is to enhance the innovation capability of Chinese enterprises and national competitiveness, and the transformation of economic growth mode and adjust the industrial structure a fundamental way. Industrial innovation platform includes: service innovation platform of highly qualified personnel to ensure the effective operation of the system platform system, resource, information sharing at the core of the operating mechanism and protect the material and information security security system. These elements within the platform relevant for industry, industrial clusters and regional characteristics of the technological innovation activities to provide efficient, high-quality, impartial services for industrial innovation resource sharing, distribution and integration to provide support. Therefore, how to effectively integrate internal and external resources industry, integrating innovative technologies inside and outside the industry to achieve industrial innovation, directly related to the prospects for the development of related industries. In this study, Proquest ABI, EBSCO and Science Direct database in recent years such as English industrial innovation platform and its evaluation index system of inspection and review of the literature. Based on the literature review, this paper constructs the effectiveness of industrial innovation platform evaluation index system model. In the previous study, based on a factor analysis, DEA model, Malmquist-DEA model and panel data models and other methods for industrial innovation platform in Hunan Province from 2005 to 2008 to assess the effectiveness run; and using panel data model analysis of each factor and the relationship between the Malmquist index; finally puts forward innovative platform for improving the effectiveness of industrial policy recommendations. This paper draws lessons and related research, improve the existing innovation platform evaluation index system, and builds innovative resources including investment, innovation output, innovation environment support three aspects of seven dimensions of effectiveness evaluation model of industrial innovation platform . In this study, the results of the factor analysis carried out as production DEA efficiency assessment, and improved DEA model with negative values. Also try to use DEA model, Malmquist indices assess the efficiency of industrial innovation platform, and discusses the various factors and the relationship between the Malmquist index. This study verified the different levels of development, innovation and efficiency of different scale diffusion space, technology diffusion space is also different. Second, improve the effectiveness of industrial innovation platform must increase total factor productivity; therefore need to improve the overall technical efficiency, scale efficiency into full play the positive role. Third, improve basic public services through comprehensive technical efficiency and technological progress to improve the efficiency of high-tech industries, the level of technological innovation and resource utilization levels.