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Measuring the change in R&D efficiency of the Japanese pharmaceutical industry

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  • Hashimoto, Akihiro
  • Haneda, Shoko

Abstract

This paper presents a data envelopment analysis (DEA)/Malmquist index methodology for measuring the change in R&D efficiency at both firm and industry levels. Letting each of ten firms in each year be a separate decision-making unit, and employing one input and three outputs in a DEA case of R&D activity input-output lag, we measure "total factor R&D efficiency" change of Japanese pharmaceutical firms for decade 1983-1992 as defined by the period of R&D input. Decomposing Malmquist index into catch-up and frontier shift components and using "cumulative indices" proposed in this study, we evaluate R&D efficiency change for each firm and empirically show that R&D efficiency of Japanese pharmaceutical industry has almost monotonically gotten worse throughout the study decade.

Suggested Citation

  • Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.
  • Handle: RePEc:eee:respol:v:37:y:2008:i:10:p:1829-1836
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    References listed on IDEAS

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    1. Akihiro Hashimoto & Migaku Kodama, 1997. "Has Livability of Japan Gotten Better for 1956–1990?: a Dea Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(3), pages 359-373, May.
    2. Hashimoto, Akihiro & Ishikawa, Hitoshi, 1993. "Using DEA to evaluate the state of society as measured by multiple social indicators," Socio-Economic Planning Sciences, Elsevier, vol. 27(4), pages 257-268, December.
    3. Cooper, W. W. & Kumbhakar, Subal & Thrall, Robert M. & Yu, Xuelin, 1995. "DEA and stochastic frontier analyses of the 1978 Chinese economic reforms," Socio-Economic Planning Sciences, Elsevier, vol. 29(2), pages 85-112, June.
    4. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    5. Geisler, E., 1995. "An integrated cost-performance model of research and development evaluation," Omega, Elsevier, vol. 23(3), pages 281-294, June.
    6. Odagiri, Hiroyuki & Murakami, Naoki, 1992. "Private and quasi-social rates of return on pharmaceutical R&D in Japan," Research Policy, Elsevier, vol. 21(4), pages 335-345, August.
    7. 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.
    8. 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.
    9. Shoko Haneda & Hiroyuki Odagiri, 1998. "Appropriation Of Returns From Technological Assets And The Values Of Patents And R&D In Japanese High-Tech Firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(4), pages 303-321.
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    Citations

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    Cited by:

    1. Barra, Cristian & Lagravinese, Raffaele & Zotti, Roberto, 2015. "Explaining (in)efficiency in higher education: a comparison of parametric and non-parametric analyses to rank universities," MPRA Paper 67119, University Library of Munich, Germany.
    2. Agasisti, Tommaso & Barra, Cristian & Zotti, Roberto, 2016. "Evaluating the efficiency of Italian public universities (2008–2011) in presence of (unobserved) heterogeneity," Socio-Economic Planning Sciences, Elsevier, vol. 55(C), pages 47-58.
    3. Tsuneyoshi, Takao & Hashimoto, Akihiro & Haneda, Shoko, 2012. "Quantitative evaluation of nation stability," Journal of Policy Modeling, Elsevier, vol. 34(1), pages 132-154.
    4. Chun, Dongphil & Hong, Sungjun & Chung, Yanghon & Woo, Chungwon & Seo, Hangyeol, 2016. "Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1252-1258.
    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. repec:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0602-8 is not listed on IDEAS
    7. repec:spr:eujhec:v:18:y:2017:i:5:d:10.1007_s10198-016-0812-3 is not listed on IDEAS
    8. repec:gam:jsusta:v:10:y:2018:i:7:p:2316-:d:156219 is not listed on IDEAS
    9. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    10. repec:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0811-9 is not listed on IDEAS
    11. Hung, Chia-Liang, 2017. "Social networks, technology ties, and gatekeeper functionality: Implications for the performance management of R&D projects," Research Policy, Elsevier, vol. 46(1), pages 305-315.
    12. repec:spr:scient:v:105:y:2015:i:3:d:10.1007_s11192-015-1764-6 is not listed on IDEAS
    13. Qazi, Ahmar Qasim & Zhao, Yulin, 2013. "Indigenous R&D Effectiveness and Technology Transfer on Productivity Growth: Evidence from the Hi-Tech Industry of China," MPRA Paper 46589, University Library of Munich, Germany.
    14. Yen-Hsien Lee & Ya-Ling Huang & Shiuh-Sheng Hsu & Chien-Han Hung, 2013. "Measuring the Efficiency and the Effect of Corporate Governance on the Biotechnology and Medical Equipment Industries in Taiwan," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 662-672.
    15. repec:eee:soceps:v:62:y:2018:i:c:p:104-120 is not listed on IDEAS
    16. Cruz-Cázares, Claudio & Bayona-Sáez, Cristina & García-Marco, Teresa, 2013. "You can’t manage right what you can’t measure well: Technological innovation efficiency," Research Policy, Elsevier, vol. 42(6), pages 1239-1250.
    17. Yang, Shang-Ho & Burdine, Kenneth H. & Hu, Wu-Yueh, 2016. "An Alternative Approach to Estimate the Economic Loss of Porcine Epidemic Diarrhea (PED) via Data Envelopment Analysis: The Case in Taiwan," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235574, Agricultural and Applied Economics Association.
    18. Jiri Schwarz & Martin Stepanek, 2016. "Patents: A Means to Innovation or Strategic Ends?," Working Papers IES 2016/08, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2016.
    19. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    20. Halkos, George & Tzeremes, Nickolaos, 2011. "The effect of national culture on countries’ innovation efficiency," MPRA Paper 30100, University Library of Munich, Germany.
    21. repec:rej:journl:v:19:y:2016:i:62:p:5-24 is not listed on IDEAS
    22. Hashimoto, Akihiro & Sugita, Takeshi & Haneda, Shoko, 2009. "Evaluating shifts in Japan's quality-of-life," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 263-273, December.
    23. Ozgur Arslan-Ayaydin & Darold Barnum & Mehmet Baha Karan & Atilla Hakan Ozdemir, 2014. "How is Moral Hazard Related to Financing R&D and Innovations?," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 111-131.

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