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The measure and characteristics of spatial-temporal evolution of China’s science and technology resource allocation efficiency

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Abstract

According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis (DEA), science and technology (S&T) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of S&T resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of S&T resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis (ESDA). It turned out that: (1) the average of S&T resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening. (2) The asymmetrical distribution of S&T resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose S&T resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China. (3) The coupling degree between S&T resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of S&T resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of S&T resources and so on. (4) In the perspective of the evolution of spatial structure, S&T resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of S&T resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency. (5) Viewed from LISA agglomeration map of S&T resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of S&T resource allocation efficiency in geographical space is gradually increasing.

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References

  • Alic J A, 2001. Postindustrial technology policy. Research Policy, 30(6): 873–889.

    Article  Google Scholar 

  • Amelin L, 1995. Local Indicators of Spatial Association-LISA. Geographical Analysis, 27(2): 93–115.

    Google Scholar 

  • Brenner M S, 1994. Practical R&D project prioritization. Research Management, 37(5): 38–42.

    Google Scholar 

  • Cantner U, Pyka A, 2001. Classifying technology policy from an evolutionary perspective. Research Policy, 30(5): 759–775.

    Article  Google Scholar 

  • Chen Jian, He Guoxiang, 2005. Research of the regional innovation resources allocation ability. Studies in Dialectics of Nature, 21(3): 78–82. (in Chinese)

    Google Scholar 

  • Chen Xiuying, Chen Ying, 2012. The regional differences of science and technology resources and the allocation efficiency evaluation in Zhejiang Province. Scientia Geographica Sinica, 32(4): 418–425. (in Chinese)

    Google Scholar 

  • Dietzenbacher E, Los B, 2002. Externalities of R&D expenditures. Economic Systems Research, 14(4): 407–425.

    Article  Google Scholar 

  • Ekboir J M, 2003. Research and technology policies in innovation systems: Zero tillage in Brazil. Research Policy, 32(4): 573–586.

    Article  Google Scholar 

  • Fan Fei, Du Debin, Li Heng, 2012. Regional science and technology resource allocation efficiency and comparative advantage analysis. Studies in Science of Science, 30(8): 1198–1205. (in Chinese)

    Google Scholar 

  • Guan Yan, Wu Hecheng, Huang Shun, 2011. The efficiency of science and technology resource allocation in Jiangsu Province based on an improved DEA model. Science Research Management, 32(2): 145–150. (in Chinese)

    Google Scholar 

  • Hansen K F, Weiss M A, Kwak S, 1999. Allocating R&D resources: A quantitative aid to management insight Sangman Kwak. Research Technology Management, 42(4): 44–50.

    Google Scholar 

  • Iyigun M G, 1993. A decision support system for R&D project selection and resource allocation under uncertainty: The 1993 student paper award winner. Project Management Journal, 24(4): 5–13.

    Google Scholar 

  • Khorramshahgol R, Gousty Y, 1986. Delphic Goal Programming (DGP): A multi-objective cost/benefit approach to R&D portfolio analysis. IEEE Transactions on Engineering Management, 33(3): 172–175.

    Google Scholar 

  • Leoncini R, 1998. The nature of long-run technological change: Innovation, evolution and technological systems. Research Policy, 27(1): 75–93.

    Article  Google Scholar 

  • Liberatore M, 1987. An extension of the analytic hierarchy process for industrial R&D project selection and resource allocation. IEEE Transactions on Engineering Management, 34(1): 12–18.

    Google Scholar 

  • Liu D Y, Shieh L F, 2005. The effects of government subsidy measures on corporate R&D expenditure: A case study of the leading product development programme. International Journal of Product Development, 2(3): 265–281.

    Google Scholar 

  • Liu Lingli, 2007. Research on allocation theory and allocation efficiency of science and technology resources [D]. Changchun: Jilin University. (in Chinese)

    Google Scholar 

  • Liu Yingping, Lin Zhigui, Shen Zuyi, 2006. Effective data envelopment analysis method for ranking decision making units. Systems Engineering: Theory & Practice, 26(3): 112–116. (in Chinese)

    Google Scholar 

  • Li Xiaojian, Qiao Jiajun, 2001. County level economic disparities of China in the 1990s. Acta Geographica Sinica, 56(2): 136–145. (in Chinese)

    Google Scholar 

  • Lv Lachang, Li Yong, 2010. A research on Chinese renovation urban system based on urban renovation function. Acta Geographica Sinica, 65(2): 177–190. (in Chinese)

    Google Scholar 

  • Ma Li, Jin Fengjun, Song Zhouying et al., 2013 Spatial coupling analysis of regional economic development and environmental pollution in China. Journal of Geographical Sciences, 23(3): 525–537.

    Article  Google Scholar 

  • Messner S F, Anselin L, Baller R D, 1999. The spatial patterning of county Homicide rates: An application of exploratory spatial data analysis. Journal of Quantitative Criminology, 15(4): 423–450.

    Article  Google Scholar 

  • Niu Shuhai, Jin Fengjun, Liu Yi, 2004. Regional differentiation of science & technology resource allocation in China. Resources Science, 26(1): 61–68. (in Chinese)

    Google Scholar 

  • Peyrefitte J, Brice J Jr, 2004. Product diversification and R&D investment: An empirical analysis of competing hypotheses. Organizational Analysis, 12(4): 379–394.

    Google Scholar 

  • Pownall I, 1997. Collaborative development of hot fusion technology policies: Strategic issues. Technology Analysis Strategic Management, 9(2): 193–212.

    Article  Google Scholar 

  • Schmidt R L, 1996. A Stochastic optimization model to improve production planning and R&D resource allocation in biopharmaceutical production processes. Management Science, 42(4): 603–617.

    Article  Google Scholar 

  • Scholefield J H, 1994. The allocation of R&D resource. R&D Management, 24(1):91–97.

    Article  Google Scholar 

  • Segerstrom P S, Zolnierek J M, 1999. The R&D incentives of industry leaders. International Economic Review, 40(3): 745–766.

    Article  Google Scholar 

  • Shi Ping, 2001. Science and technology allocation of resources and institutional arrangements of the relations [D]. Xi’an: Xi’an Jiaotong University. (in Chinese)

    Google Scholar 

  • Shi Ping, Li Yuan, 2000. Connotation of science resources system and institution factor. China Soft Science, 15(11): 55–57. (in Chinese)

    Google Scholar 

  • Song Yu, 1999. Science and technology resources, difficult in the process of and inefficient phenomenon discussed. Quantity Economic and Technological Economic Research, 16(10): 29–31. (in Chinese)

    Google Scholar 

  • Srdjevic B, Medeiros Y D, Porto R L, 2005. Data envelopment analysis of reservoir system performance. Computers & Operations Research, 32: 3209–3226.

    Article  Google Scholar 

  • Wang Bei, Liu Weidong, Lu Dadao, 2011. Allocation efficiency of science and technology resources in Jing-Jin-Ji, Yangtze River Delta and Pearl River Delta regions. Progress in Geography, 30(10): 1233–1239. (in Chinese)

    Google Scholar 

  • Wei Shouhua, Wu Guisheng, 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 

  • Xue Desheng, Huang Gengzhi, Weng Xiaoli, 2010. Urban globalization process of China’s cities since the early 1980s. Acta Geographica Sinica, 65(10): 1155–1162. (in Chinese)

    Google Scholar 

  • Zhou Jizhong, 1999. Science and Technology Resources Theory. Xi’an: Shaanxi People’s Education Publishing House. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Debin Du.

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Foundation: Key Projects of Philosophy of the Social Science funded by the Ministry of Education, No.11JD039; National Key Public Bidding Project for Soft Science Research Plan, No.2012GXS1D002; National Natural Science Foundation of China, No.41001083

Author: Fan Fei (1984–), PhD, specialized in city and regional innovation.

Corresponding author: Du Debin (1963–), Professor, specialized in world geography and technological innovation.

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Fan, F., Du, D. & Wang, X. The measure and characteristics of spatial-temporal evolution of China’s science and technology resource allocation efficiency. J. Geogr. Sci. 24, 492–508 (2014). https://doi.org/10.1007/s11442-014-1102-6

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