Comparing regional innovative capacities of PR China based on data analysis of the national patents

The significant inequality of innovative capacities amongst regions will be a hindrance to the harmonious development of the overall national science and technology (S&T) and economy of PR China. A key purpose of this article is to explore and reveal these inequalities, based on data analysis of the national patent counts. We examine the relationship between national patenting and the variables associated with the regional innovative capacity. The results indicate that the R&D activities of scientists and engineers in enterprises, the governmental R&D funds for enterprises, bank R&D loans and enterprises funds for research institutes and universities, are all inefficient to different degrees in the regional innovation systems of PR China. On the contrary, firms' spontaneous R&D investment on their own contributes substantially to their regional innovative capacities. The results suggest that the methodology is a useful and relatively reliable way of measuring regional innovative capacities for specifically Chinese conditions.

[1]  A. Shorrocks,et al.  The Class of Additively Decomposable Inequality Measures , 1980 .

[2]  Bruno Van Pottelsberghe,et al.  The impact of public R&D expenditure on business R&D* , 2003 .

[3]  M. Paul,et al.  ENDOGENOUS TECHNICAL CHANGE , 1990 .

[4]  L. Anselin,et al.  Patents and innovation counts as measures of regional production of new knowledge , 2002 .

[5]  Jiancheng Guan,et al.  Innovative capability and export performance of Chinese firms , 2003 .

[6]  Bengt-Åke Lundvall,et al.  National Systems of Innovation: towards a theory of innovation and interactive learning London: Pint , 1995 .

[7]  Daniele Archibugi,et al.  The inter-industry distribution of technological capabilities. A case study in the application of the Italian patenting in the U.S.A. , 1988 .

[8]  P. Cooke,et al.  Regional innovation systems: Institutional and organisational dimensions , 1997 .

[9]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[10]  Karel Cool,et al.  Asset stock accumulation and sustainability of competitive advantage , 1989 .

[11]  M. Porter The Competitive Advantage Of Nations , 1990 .

[12]  R. Nelson,et al.  Investment in humans, technological diffusion and economic growth , 1965 .

[13]  Attila Varga,et al.  Local Geographic Spillovers between University Research and High Technology Innovations , 1997 .

[14]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[15]  Richard Hawkins,et al.  The knowledge production function: lessons from biotechnology , 2000, Int. J. Technol. Manag..

[16]  Jiancheng Guan,et al.  Innovation via new ventures as a conversion strategy for the Chinese defense industry , 1996 .

[17]  Zvi Griliches,et al.  Productivity, R&D, and Basic Research at the Firm Level in the 1970s , 1985 .

[18]  Jeffrey L. Furman,et al.  The Determinants of National Innovative Capacity , 2000 .

[19]  R. Nelson National Innovation Systems: A Comparative Analysis , 1993 .

[20]  C. Edquist Systems of Innovation: Technologies, Institutions and Organizations , 1997 .

[21]  Roger Miller,et al.  Growing the next Silicon Valley : a guide for successful regional planning , 1987 .

[22]  Ulrich Hilpert,et al.  Regional innovation and decentralization : high tech industry and government policy , 1991 .