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Technology Extension Services, Intangible Capital, and SME Productivity before and during the COVID-19 Pandemic

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  • Nobuya FUKUGAWA

Abstract

This study investigates the impact of Technology Extension Services (TES) on the productivity of small and medium-sized enterprises (SMEs) in Japan, using an Endogenous Switching Regression model and firm-level panel data covering both the pre-pandemic (2016–2019) and pandemic (2020–2023) periods. Focusing on Kohsetsushi , Japan’s extensive network of public support institutes for SMEs, the analysis finds that TES adoption significantly improves firm productivity across both periods, highlighting its role as a locally embedded innovation intermediary. Firms with higher levels of intangible capital benefited more, with complementary effects particularly pronounced during the pandemic—suggesting that absorptive capacity became critical under crisis conditions. Selection estimates reveal that more productive firms were more likely to adopt TES, although some equally capable firms opted out—consistent with comparative advantage shaping self-selection patterns. Geographic proximity to service providers constrained TES access in stable periods but became less critical during the pandemic due to the expansion of digital service delivery. These findings underscore how firm capabilities, external shocks, and spatial access jointly influence the effectiveness of public technology support programs.

Suggested Citation

  • Nobuya FUKUGAWA, 2025. "Technology Extension Services, Intangible Capital, and SME Productivity before and during the COVID-19 Pandemic," Discussion papers 25064, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:25064
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    1. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(2), pages 221-240.
    2. Clifford A. Lipscomb & Jan Youtie & Philip Shapira & Sanjay Arora & Andy Krause, 2018. "Evaluating the Impact of Manufacturing Extension Services on Establishment Performance," Economic Development Quarterly, , vol. 32(1), pages 29-43, February.
    3. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September.
    4. Izushi, Hiro, 2003. "Impact of the length of relationships upon the use of research institutes by SMEs," Research Policy, Elsevier, vol. 32(5), pages 771-788, May.
    5. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    6. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-512, March.
    7. A. D. Roy, 1951. "Some Thoughts On The Distribution Of Earnings," Oxford Economic Papers, Oxford University Press, vol. 3(2), pages 135-146.
    8. Erik Brynjolfsson & Lorin M. Hitt, 2003. "Computing Productivity: Firm-Level Evidence," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 793-808, November.
    9. Gee Hee HONG & Arata ITO & Yukiko SAITO & Thi-Ngoc Anh NGUYEN, 2020. "Structural Changes in Japanese SMEs: Business Dynamism in Aging Society and Inter-Firm Transaction Network," Policy Discussion Papers 20003, Research Institute of Economy, Trade and Industry (RIETI).
    10. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    11. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LLC, vol. 4(3), pages 282-289, September.
    12. Nobuya Fukugawa, 2016. "Knowledge creation and dissemination by Kosetsushi in sectoral innovation systems: insights from patent data," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2303-2327, December.
    13. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio & Massimiliano Iommi, 2013. "Innovation and intangible investment in Europe, Japan, and the United States," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 29(2), pages 261-286, SUMMER.
    14. Pierre Mohnen & Michael Polder & George van Leeuwen, 2018. "ICT, R&D and Organizational Innovation: Exploring Complementarities in Investment and Production," NBER Working Papers 25044, National Bureau of Economic Research, Inc.
    15. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    16. Daniel Feser, 2023. "Innovation intermediaries revised: a systematic literature review on innovation intermediaries’ role for knowledge sharing," Review of Managerial Science, Springer, vol. 17(5), pages 1827-1862, July.
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