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Produce patents or journal articles? A cross-country comparison of R&D productivity change

Author

Listed:
  • Chiang-Ping Chen

    (Taiwan Institute of Economic Research)

  • Jin-Li Hu

    (National Chiao Tung University)

  • Chih-Hai Yang

    (National Central University)

Abstract

This paper compares R&D productivity change across countries considering the fact that national R&D expenditure may produce multiple outputs, including patents and journal articles. Based on the concept of directional distance function and Luenberger productivity index, this paper develops a Luenberger R&D productivity change (LRC) index and then decomposes it into R&D efficiency change (catch-up effect) and R&D technical change (innovation effect). Utilizing a panel dataset of 29 countries over the 1998–2005 period to implement the empirical estimation, the results show that the R&D productivity growth is mainly attributed to the innovation effect; meanwhile, non-OECD countries have better performance on both efficiency change and technical change than their OECD counterparts. Moreover, patent-oriented R&D productivity growth serves as the main source of national R&D productivity growth than the journal article-oriented one.

Suggested Citation

  • Chiang-Ping Chen & Jin-Li Hu & Chih-Hai Yang, 2013. "Produce patents or journal articles? A cross-country comparison of R&D productivity change," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 833-849, March.
    • Handle: RePEc:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0811-9
    DOI: 10.1007/s11192-012-0811-9
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    References listed on IDEAS

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    Cited by:

    1. Pawel Dobrzanski, 2018. "Innovation expenditures efficiency in Central and Eastern European Countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 827-859.
    2. Jianping Liu & Kai Lu & Shixiong Cheng, 2018. "International R&D Spillovers and Innovation Efficiency," Sustainability, MDPI, vol. 10(11), pages 1-23, October.
    3. Kairui Zuo & Jiancheng Guan, 2017. "Measuring the R&D efficiency of regions by a parallel DEA game model," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 175-194, July.
    4. Jiancheng Guan & Kairui Zuo, 2014. "A cross-country comparison of innovation efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 541-575, August.
    5. Qin, Xionghe & Wang, Xueli & Kwan, Mei-Po, 2023. "The contrasting effects of interregional networks and local agglomeration on R&D productivity in Chinese provinces: Insights from an empirical spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    6. Gökçe Candan, 2020. "Efficiency and performance analysis of economics research using hesitant fuzzy AHP and OCRA methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2645-2659, September.
    7. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    8. Pin-Hua Lin & Jong-Rong Chen & Chih-Hai Yang, 2014. "Academic research resources and academic quality: a cross-country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 109-123, October.

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    More about this item

    Keywords

    R&D productivity change; Patents; Journal articles;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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