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Study On The Regional Innovation Resources Structure And Its Performance Evaluation

Posted on:2011-03-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z CaoFull Text:PDF
GTID:1119330362958289Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the increase of the total economy in China, problems of energy, environmental, ecological have become increasingly critical, achieving sustainable economic and social development needs the growth pattern changing. Whether national, regional or industry needs investment of resources to strengthen scientific and technological innovation, enhance innovation capability. So far, the many research of the relationship between the S&T investment and economic growth has been done; especially after the new growth theory is produced, many researchers analyze the sources of economic growth in order to determine the sustainable about economic growth from the angle of total factor productivity (TFP). However, these studies often puts different types of technology resources as a whole, fails to distinguish differences of economic performance between different sources of scientific and technological. Based on the structure of Chinese regional technological innovation investment, this study makes their economic performance comparison.Follow the general method of the economic performance of science and technology investment in new growth theory, we develop the existing literature to three areas useing the 1997~2008 Chinese Provinel panel data: First, we will split R&D investment into the Government investment enterprises investment; Second, selected area technology turnover as R&D spillovers measured scale, and put it in the same framework with the different types of R&D investment to compare the role of their TFP by panel regression method; Third, we Select the data envelopment analysis (DEA) method to measure TFP, instead of the traditional "Solow residual" method avoiding the non-innovation redundant, meantime this method put TFP decompose into technical efficiency (EC) and the rate of technological progress (TC). Based on the analysis, the conclusions are made:(1) Technological innovation investment have made rapid growth in China Eastern, Central and Western regions 12 years, due to the eastern region business technology investment increase far beyond the Midwest, the eastern region grows faster. Despite Divergence of different science and technology investment across the country, but convergence trend exist in their respective regions.(2) TFP growth mainly came from the contribution of technological progress rate in China; technical efficiency caused a loss of the TFP instead of bringing TFP growth. From the regional side, TFP growth Increased significantly in the eastern region, while the Midwest had no significant TFP growth.(3) The effects of different types of S&T activities on TFP differ in degree and in directions: the corporate S&T investment exerted the most significant influence on the TFP growth, and particularly more significant for the east regions than for the middle and the west regions; the effects of S&T spillover (technical trade) on TFP lies the next, though exercising greater influence for the west regions than for the middle regions, and in turn greater for the middle regions than for the east regions; while the TFP elasticity of the government S&T investment are negative in three regions.(4) Improving economic performance of the S&T innovation needs to carry the knowledge output to a new and higher level, the knowledge output elasticity of government S&T investment than S&T investment of corporate. Strengthening cooperation between the main S&T innovation body will be able to expand the knowledge output.
Keywords/Search Tags:Regional innovation, S&T investment structure, Knowledge production, Economic performance, Evaluation
PDF Full Text Request
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