IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i5p1945-1967.html
   My bibliography  Save this article

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

Author

Listed:
  • 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

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0083-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-014-0083-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Dosi, Giovanni, 1988. "Sources, Procedures, and Microeconomic Effects of Innovation," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1120-1171, September.
    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. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Duan, Yunlong & Liu, Shuling & Cheng, Hao & Chin, Tachia & Luo, Xuan, 2021. "The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: Evidence from the Chinese manufacturing industry," International Journal of Production Economics, Elsevier, vol. 233(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
    2. Proksch, Dorian & Haberstroh, Marcus Max & Pinkwart, Andreas, 2017. "Increasing the national innovative capacity: Identifying the pathways to success using a comparative method," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 256-270.
    3. Maxim Kotsemir & Alexander Abroskin & Dirk Meissner, 2013. "Innovation concepts and typology – an evolutionary discussion," HSE Working papers WP BRP 05/STI/2013, National Research University Higher School of Economics.
    4. Ibrahim Alnafrah, 2021. "Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-28, December.
    5. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    6. Jian-Wen Fang & Yung-ho Chiu, 2017. "Research on Innovation Efficiency and Technology Gap in China Economic Development," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-22, April.
    7. Havas, Attila, 2016. "Recent economic theorising on innovation: Lessons for analysing social innovation," MPRA Paper 77385, University Library of Munich, Germany.
    8. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.
    9. Qian Long Kweh & Wen-Min Lu & Fengyi Lin & Yung-Jr Deng, 2022. "Impact of research and development tax credits on the innovation and operational efficiencies of Internet of things companies in Taiwan," Annals of Operations Research, Springer, vol. 315(2), pages 1217-1241, August.
    10. Maxim Kotsemir, 2013. "Measuring national innovation systems efficiency – a review of DEA approach," HSE Working papers WP BRP 16/STI/2013, National Research University Higher School of Economics.
    11. Vitor Miguel Ribeiro & Celeste Varum & Ana Dias Daniel, 2021. "Introducing microeconomic foundation in data envelopment analysis: effects of the ex ante regulation principle on regional performance," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1215-1244, September.
    12. Zhao, Y. & Triantis, K. & Murray-Tuite, P. & Edara, P., 2011. "Performance measurement of a transportation network with a downtown space reservation system: A network-DEA approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1140-1159.
    13. Svetlana V. Ratner & Svetlana A. Balashova & Andrey V. Lychev, 2022. "The Efficiency of National Innovation Systems in Post-Soviet Countries: DEA-Based Approach," Mathematics, MDPI, vol. 10(19), pages 1-23, October.
    14. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
    15. Shi‐Xiao Wang & Wen‐Min Lu & Shiu‐Wan Hung, 2020. "Improving innovation efficiency of emerging economies: The role of manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 503-519, June.
    16. Song Wang & Jiexin Wang & Chenqi Wei & Xueli Wang & Fei Fan, 2021. "Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China," Growth and Change, Wiley Blackwell, vol. 52(3), pages 1330-1360, September.
    17. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    18. Irena Lacka & Lukasz Brzezicki, 2021. "The Efficiency and Productivity Evaluation of National Innovation Systems in Europe," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 471-496.
    19. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    20. Chia-Chin Chang & Chia-Syuan Chang, 2023. "Influences of Talent Cultivation and Utilization on the National Human Resource Development System Performance: An International Study Using a Two-Stage Data Envelopment Analysis Model," Mathematics, MDPI, vol. 11(13), pages 1-18, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:49:y:2015:i:5:p:1945-1967. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.