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Influences of knowledge spillover and utilization on the NIS performance: a multi-stage efficiency perspective

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  • Chia-Chin Chang

Abstract

The innovation process cannot be completed independently. Research on the national innovation system (NIS) has attracted considerable attention. Such research reveals that it is critically important to understand that the operation of the NIS is both multi-stage and multi-dimensional, and ultimately shows its results in terms of national economic performance. From the multi-stage efficiency perspective, we built a three-stage network data envelopment analysis model to assess the R&D efficiency of knowledge creation fostered by the NIS, the diffusion efficiency of knowledge spillover and the economic efficiency of the economic achievements resulting from knowledge utilization. The study subjects consisted of 41 countries, including China, Brazil and OECD member countries. Finally, the efficiency results of NISs involve both cluster analysis and multidimensional scaling to make efficiency analysis concrete and vivid, as well as to serve as benchmark targets for inefficient NISs. Copyright Springer Science+Business Media Dordrecht 2015

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  • Chia-Chin Chang, 2015. "Influences of knowledge spillover and utilization on the NIS performance: a multi-stage efficiency perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(5), pages 1945-1967, September.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:5:p:1945-1967
    DOI: 10.1007/s11135-014-0083-y
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    1. O'Neill, Liam & Rauner, Marion & Heidenberger, Kurt & Kraus, Markus, 2008. "A cross-national comparison and taxonomy of DEA-based hospital efficiency studies," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 158-189, September.
    2. Kyoo-Ho Park & Keun Lee, 2006. "Linking the technological regime to the technological catch-up: analyzing Korea and Taiwan using the US patent data," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 15(4), pages 715-753, August.
    3. Ta-Wei Pan & Shiu-Wan Hung & Wen-Min Lu, 2010. "Dea Performance Measurement Of The National Innovation System In Asia And Europe," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 27(03), pages 369-392.
    4. Bengt-Åke Lundvall, 2007. "National Innovation Systems—Analytical Concept and Development Tool," Industry and Innovation, Taylor & Francis Journals, vol. 14(1), pages 95-119.
    5. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. Cooke, Philip & Gomez Uranga, Mikel & Etxebarria, Goio, 1997. "Regional innovation systems: Institutional and organisational dimensions," Research Policy, Elsevier, vol. 26(4-5), pages 475-491, December.
    8. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    9. Markus Balzat & Horst Hanusch, 2004. "Recent trends in the research on national innovation systems," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 197-210, June.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. S Gattoufi & M Oral & A Kumar & A Reisman, 2004. "Content analysis of data envelopment analysis literature and its comparison with that of other OR/MS fields," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 911-935, September.
    12. Motohashi, Kazuyuki, 2005. "University-industry collaborations in Japan: The role of new technology-based firms in transforming the National Innovation System," Research Policy, Elsevier, vol. 34(5), pages 583-594, June.
    13. Astrid Cullmann & Jens Schmidt-Ehmcke & Petra Zloczysti, 2009. "Innovation, R&D Efficiency and the Impact of the Regulatory Environment: A Two-Stage Semi-Parametric DEA Approach," Discussion Papers of DIW Berlin 883, DIW Berlin, German Institute for Economic Research.
    14. Pavitt, Keith, 1982. "R&D, patenting and innovative activities : A statistical exploration," Research Policy, Elsevier, vol. 11(1), pages 33-51, February.
    15. Warren Torgerson, 1952. "Multidimensional scaling: I. Theory and method," Psychometrika, Springer;The Psychometric Society, vol. 17(4), pages 401-419, December.
    16. John Cantwell & Felicia Fai, 1999. "Firms as the source of innovation and growth: the evolution of technological competence," Journal of Evolutionary Economics, Springer, vol. 9(3), pages 331-366.
    17. Kaufmann, Alexander & Todtling, Franz, 2001. "Science-industry interaction in the process of innovation: the importance of boundary-crossing between systems," Research Policy, Elsevier, vol. 30(5), pages 791-804, May.
    18. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    19. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    20. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    21. Nelson, Richard R. & Nelson, Katherine, 2002. "Technology, institutions, and innovation systems," Research Policy, Elsevier, vol. 31(2), pages 265-272, February.
    22. Nasierowski, W. & Arcelus, F. J., 2003. "On the efficiency of national innovation systems," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 215-234, September.
    23. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    24. Coriat, Benjamin & Weinstein, Olivier, 2002. "Organizations, firms and institutions in the generation of innovation," Research Policy, Elsevier, vol. 31(2), pages 273-290, February.
    25. Zander, Ivo, 1997. "Technological diversification in the multinational corporation--historical evolution and future prospects," Research Policy, Elsevier, vol. 26(2), pages 209-227, May.
    26. Patarapong Intarakumnerd, 2011. "Thaksin’s Legacy: Thaksinomics and Its Impact on Thailand’s National Innovation System and Industrial Upgrading," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 3(1), pages 31-60, April.
    27. Basberg, Bjorn L., 1987. "Patents and the measurement of technological change: A survey of the literature," Research Policy, Elsevier, vol. 16(2-4), pages 131-141, August.
    28. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    29. Giovanni Dosi, 2000. "Sources, Procedures, and Microeconomic Effects of Innovation," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 2, pages 63-114, Edward Elgar Publishing.
    30. Marxt, Christian & Brunner, Claudia, 2013. "Analyzing and improving the national innovation system of highly developed countries — The case of Switzerland," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1035-1049.
    31. Kneller, Richard & Manderson, Edward, 2012. "Environmental regulations and innovation activity in UK manufacturing industries," Resource and Energy Economics, Elsevier, vol. 34(2), pages 211-235.
    32. Patrick L. Brockett & Boaz Golany, 1996. "Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis," Management Science, INFORMS, vol. 42(3), pages 466-472, March.
    33. Niosi, Jorge, 2002. "National systems of innovations are "x-efficient" (and x-effective): Why some are slow learners," Research Policy, Elsevier, vol. 31(2), pages 291-302, February.
    34. David Mowery, 2011. "Nanotechnology and the US national innovation system: continuity and change," The Journal of Technology Transfer, Springer, vol. 36(6), pages 697-711, December.
    35. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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