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Spatial disparity and efficiency of science and technology resources in China

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Abstract

In the knowledge economy era, science and technology (S&T) resources are getting more and more important in shaping regional competiveness and building regional innovation capacity. As such, the spatial distribution of S&T resources is a key to understanding regional development and disparities. By designing an input-output indicator system, this paper develops an evaluation model to examine the spatial distribution of S&T resources in China and assess their spatial efficiency. Moreover, the paper tries to explain spatial differences in the efficiency of S&T resources in China. Major findings are: 1) the input and output of S&T resources in China shows a clear T-shaped spatial structure, i.e., concentrated mainly in the coastal region and along the Changjiang (Yangtze) River; 2) the efficiency of S&T resources in China displays strong spatial disparities, with the level of efficiency descending from the east to the west while high efficiency appearing in only several clusters; 3) the utilization rates of S&T resources in most provinces are quite low, resulting in low efficiency of S&T resources allocation. The paper suggests that the utilization rate of S&T resources should be raised and the commercialization of S&T outputs should be enhanced to improve the efficiency of S&T resources in China.

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References

  • Buswell R J, 1983. Research and Development and Regional Development: A Review. Technological Change and Regional Development. London: Pion Ltd.

    Google Scholar 

  • Charnes A, Cooper WW, Rhodes E, 1978. Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6): 429–444. doi: 10.1016/0377-2217(78) 90138-8

    Article  Google Scholar 

  • Ding H D, 2005. The new challenges on S&T resource allocation and strategies analysis. Studies in Science of Science, 23(4): 474–480. (in Chinese )

    Google Scholar 

  • Fagerberg J, 1994. Technology and international differences in growth rates. Journal of Economic Literature, 32(1): 1147–1175.

    Google Scholar 

  • Fagerberg J, Verspagen B, Canieels M, 1997. Technology, growth and unemployment across European regions. Regional Studies, 31(5): 457–466. doi: 10.1080/00343409750132252

    Article  Google Scholar 

  • Feldman M P, 1994. The Geography of Innovation. Boston, MA: Kluwer Academic.

    Google Scholar 

  • Feldman M P, Florida R, 1994. The geographic sources of innovation: Technical infrastructure and product innovation in the United States. Annals of the Association of American Geographers, 84(2): 210–229. doi: 10.1111/j.1467-8306.1994.tb01735.x

    Article  Google Scholar 

  • Fischer N M, Froehlich J, Gassler H, 1994. An exploration into the determinants of patent activities: Some empirical evidence for Austria. Regional Studies, 28(1): 1–12. doi: 10.1080/00343409412331348026

    Article  Google Scholar 

  • Grossman G M, Hepoman E, 1994. Endogenous innovation in the theory of growth. The Journal of Economic Perspectives, 8(1): 23–44.

    Article  Google Scholar 

  • Guerrero D C, Sero M A, 1997. Spatial distribution of patents in Spain: Determining factors and consequences on regional development. Regional Studies, 31(4): 381–390. doi: 10.1080/00343409750132982

    Article  Google Scholar 

  • Hu Z H, Liu D C, 2009. Performance evaluation of scientific research input upon promoting regional economic growth in China. China Soft Science, (8): 94–100. (in Chinese)

  • Li H X, Li W S, 2010. Research on efficiency rating of science and technology resources deployment and space variance in our country. Scientific Management Research, 28(4): 35–40. (in Chinese)

    Google Scholar 

  • Liu H F, 1999. Research on the problems of disposition of sci-tech resources in China. World Sci-Tech R&D, 21(1): 95–98. (in Chinese)

    Google Scholar 

  • Malecki E J, 1987. Hope or hyperbole? High tech and economic development. Technology Review, 90: 44–51.

    Google Scholar 

  • Malecki E J. 1997. Technology and Economic Development: The Dynamics of Local, Regional, and National Competitiveness. 2nd edition. London: Longman.

    Google Scholar 

  • Markusen A, Hall PG, Glasmeier A, 1986. High Tech America: The What, How, Where, and Why of the Sunrise Industries. Boston, MA: Allen & Unwin.

    Google Scholar 

  • Mu R P, Qu W, 2008. The development of science and technology in China: A comparison with India and the United States. Technology in Society, 30(3–4): 319–329. doi: 10.1016/j. techsoc.2008.04.023

    Google Scholar 

  • National Bureau of Statistics of China, 2008; 2010. Chinese Science and Technological Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)

    Google Scholar 

  • Romer P M, 1994. The origins of endogenous growth. The Journal of Economic Perspectives, 8(1): 3–22.

    Article  Google Scholar 

  • Storper M, Walker R, 1989. The Capitalist Imperative: Territory, Technology, and Industrial Growth. Cambridge, MA: Blackwell.

    Google Scholar 

  • Sun Y F, 2000. Spatial distribution of patents in China. Regional Studies, 34(5): 441–454. doi: 10.1080/00343400050058693

    Article  Google Scholar 

  • The Ministry of Science and Technology of the People’s Republic of China, 2002. China Science and Technology Indicators 2001. Beijing: Science and Technology Document Publishing House. (in Chinese)

    Google Scholar 

  • Wei Q L, 1988. DEA Approach to Evaluate the Relative Efficiency: A New Field of Operational Research. Beijing: China Renmin University Press. (in Chinese)

    Google Scholar 

  • Wei S H, Wu G S, 2005. Research on the efficiency of regional science and technology (S&T) resource allocation. Studies in Science of Science, 23(4): 467–473. (in Chinese)

    Google Scholar 

  • Xu X X, 2003. Science and technology resources in China: Current situation and problems. Resources Science, 25(3): 83–89. (in Chinese)

    Google Scholar 

  • Yang K Z, Xie X, 2002. The analysis about DEA-efficiency of China cities’ input-output. Geography and Territorial Research, 18(3): 45–47. (in Chinese)

    Google Scholar 

  • Zhou J Z, 1999. Science and Technology Theory. Xi’an: Shaanxi Renmin Education Publishing Press. (in Chinese)

    Google Scholar 

  • Zou Z H, Yun Y, Sun J N, 2006. Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 18(5): 1020–1023.

    Article  Google Scholar 

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Correspondence to Weidong Liu.

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Foundation item: Under the auspices of National Science Fund for Distinguished Young Scholars (No. 41125005)

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Wang, B., Liu, W., Lu, D. et al. Spatial disparity and efficiency of science and technology resources in China. Chin. Geogr. Sci. 22, 730–741 (2012). https://doi.org/10.1007/s11769-012-0558-5

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  • DOI: https://doi.org/10.1007/s11769-012-0558-5

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