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Dea Performance Measurement Of The National Innovation System In Asia And Europe

Author

Listed:
  • TA-WEI PAN

    (Department of Financial Management, National Defense University, No. 70, Section 2, Zhongyang North Road, Beitou, Taipei 112, Taiwan)

  • SHIU-WAN HUNG

    (Department of Business Administration, National Central University, No. 300, Jung-Da Road, Jung-Li city, Tao-Yuan 320, Taiwan)

  • WEN-MIN LU

    (Department of Financial Management, National Defense University, No. 70, Section 2, Zhongyang North Road, Beitou, Taipei 112, Taiwan)

Abstract

This paper reconciles diverse efficiency measures to characterize the operating performance of the National Innovation System (NIS) in 33 Asian and European countries. NIS efficiency rating should be considered as a key element for achieving greater innovation and competitive advantages. This study applies the data envelopment analysis (DEA) approach with the traditional DEA models, bilateral models, and critical performance measures, respectively, combing multiple outputs and inputs to measure the magnitude of performance difference between the countries. Empirical results indicate that the overall technical inefficiencies of the NIS activities in these countries are primarily due to the pure technical inefficiencies rather than the scale inefficiencies. Korea and Taiwan perform very well on their NISs and rank numbers 1 and 2 respectively on the Asian list, while Romania ranks number 1 among the European countries. In addition, the Asian countries are generally better performers than the European countries in production activities. Finally, the key input/output influencing the countries' NIS performance have been identified. The innovative features of Korea, Taiwan and Romania are also discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:wsi:apjorx:v:27:y:2010:i:03:n:s0217595910002752
    DOI: 10.1142/S0217595910002752
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, January.
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    Cited by:

    1. 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.
    2. 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.
    3. Yang Zhang & Dezhong Duan & Debin Du, 2020. "Coordinated Development of Innovation System in China’s Yangtze River Economic Belt, a Demand and Supply Perspective," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    4. Lee, Jun Gon & Park, Min Jae, 2020. "Evaluation of technological competence and operations efficiency in the defense industry: The strategic planning of South Korea," Evaluation and Program Planning, Elsevier, vol. 79(C).
    5. 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.
    6. Marija Mosurović Ružičić & Mirjana Miletić & Marina Dobrota, 2021. "Does a National Innovation System Encourage Sustainability? Lessons from the Construction Industry in Serbia," Sustainability, MDPI, vol. 13(7), pages 1-19, March.
    7. Abeda Muhammad Iqbal & Narayanan Kulathuramaiyer & Adnan Shahid Khan & Johari Abdullah & Mussadiq Ali Khan, 2022. "Intellectual Capital: A System Thinking Analysis in Revamping the Exchanging Information in University-Industry Research Collaboration," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
    8. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    9. 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.
    10. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    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. Maxim Kotsemir, 2013. "Measuring National Innovation Systems Efficiency - A Review of DEA Approach," Post-Print hal-00865875, HAL.
    13. Wilson, Kenneth & Vellinga, Nico, 2022. "Natural resource dependence and innovation efficiency reconsidered," Resources Policy, Elsevier, vol. 77(C).
    14. Chen, Yang & Li, Weiwei & Yi, Pingtao, 2020. "Evaluation of city innovation capability using the TOPSIS-based order relation method: The case of Liaoning province, China," Technology in Society, Elsevier, vol. 63(C).
    15. Volchik, V. & Maslyukova, E. & Panteeva, S., 2023. "Russian innovation system in models and narratives," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 143-166.
    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. 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.
    18. Munshi Naser Ibne Afzal, 2014. "An empirical investigation of the National Innovation System (NIS) using Data Envelopment Analysis (DEA) and the TOBIT model," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(4), pages 507-523, July.
    19. 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.
    20. 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.

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