| "Twelfth Five-Year Plan" clearly put forward to implement the innovation-driven, accelerate the construction of a national innovation system, and focus on improving innovation capability. Enhance national capacity for independent innovation and industrial upgrading, in the final analysis is to cultivate a large number of enterprise independent innovation, adhere to market-oriented technological innovation, and strengthen enterprise’R&D activities and actively create a favorable institutional and policy environment, integration of relevant the R&D resources to accelerate technological innovation achievements. As enterprise in technological innovation has an irreplaceable position and role, In order to achieve faster innovation and industrialization, it must pass the relevant government R&D funding and institutional arrangements to guide rational enterprise R&D investment. Therefore in the theoretical and empirical perspective reveals the government R&D investment to R&D investment has an important impact on the practical significance. On the other hand, due to the long historical reasons, China’s eastern, central and western regions of the R&D investment showing a significant difference, and thus causes to guide governments and enterprises more efficient in all areas for R&D investment is also extremely important.In the discourse structure:First, taking R&D product features as foreshadowing, analyze government R&D investment in enterprise R&D investment for the impact of theoretical basis, and describe the government R&D investment affect R&D investment path. Second, analyzes the statistical data and other specific government and enterprise R&D investment combining Chinese Technology Yearbook. Then, use the gray correlation degree and econometric models to empirical analysis of government R&D funding on enterprise R&D investment in areas affected by the difference. Finally, use the two levels of government and enterprises to reveal the causes of the difference.The empirical results show that:①government R&D investment and enterprise R&D investment are cointegrated;②government R&D investment changes1%,while the eastern, central and western enterprise R&D investment changes were1.17%,1.23%and0.92%, namely the central region government R&D funding to enterprise R&D investment is the most significant, followed by the eastern and western regain.③On the whole, the national caliber, investment in human resources correlation has been living in the first place, while the R&D investment topics related degree gradually higher than the government R&D funding. The eastern region of the three correlation showed a stable situation from2009to2011. In the central region, investment in human resources related degree increase, while the government R&D funding and R&D project into a downward trend; western region just in contrast with the central region, human resource inputs associated with decreased, while the government R&D funding and R&D project into an upward trend.Innovation of the paper is mainly reflected in the following two points:First, through gray correlation degree method of government R&D of various inputs, including R&D funding, investment in human capital, R&D project into which factors for business R&D investment in the most affected, and through regional comparative analysis, research in different regions different status and trends. Second, empirical analysis of government R&D investment and enterprise R&D investment in long-run equilibrium relationship and reveals the eastern Midwest regional government R&D funding on business R&D investment in impact factor differences; and on this basis, from the government and enterprise level analysis yielded regional R&D investment reasons for the differences.The lack of this paper is mainly reflected as follows:First, this paper uses a variety of gray correlation degree of government investment in R&D investment, and analysis of each annual inter-provincial data sequence analysis, limited Statistical Yearbook number of R&D project statistics (statistics before2009do not have the number of R&D project).it did not do the annual sequence of gray correlation analysis. Second, this paper do quantitative analysis, due to funding sources prior to2003statistics according to internal R&D expenditures and in some years only to raise the proportion of science and technology funds instead of R&D investment ratio, distortion may occur resulting data and model results does not match the actual situation. Third, the paper takes the government and the regional differences in firm-level studies, it did not quantify the central and western areas of the various differences between the government and enterprises, only take the qualitative point of view as relevant elaboration. |
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