Sources of heterogeneous treatment effects of incorporating public innovation intermediaries for SMEs: evidence from Japan’s Kohsetsushi

References

• Adhikari, K., Maas, A., & Trujillo-Barrera, A. (2023). Revisiting the effect of recreational marijuana on traffic fatalities. International Journal of Drug Policy, 115, 104000. https://doi.org/10.1016/j.drugpo.2023.104000
   PubMed Web of Science ®Google Scholar
• Arrow, K. (1962). The economic implications of learning by doing. Review of Economic Studies, 29(3), 155–172. https://doi.org/10.2307/2295952
   Web of Science ®Google Scholar
• Asheim, B., Coenen, L., & Vang, J. (2007). Face-to-face, buzz, and knowledge bases: Sociospatial implications for learning, innovation, and innovation policy. Environment and Planning C: Government and Policy, 25(5), 655–670. https://doi.org/10.1068/c0648
   Web of Science ®Google Scholar
• Asheim, B., & Gertler, M. (2005). The geography of innovation: Regional innovation systems. In J. Fagerberg, D. Mowery, & R. Nelson (Eds.), The Oxford handbook of innovation (pp. 291–317). Oxford University Press.
   Google Scholar
• Baker, A., Larcker, D., & Wang, C. (2022). How much should we trust staggered difference-in-differences estimates? Journal of Financial Economics, 144(2), 370–395. https://doi.org/10.1016/j.jfineco.2022.01.004
   Web of Science ®Google Scholar
• Beaudry, C., & Breschi, S. (2003). Are firms in clusters really more innovative? Economics of Innovation and New Technology, 12(4), 325–342. https://doi.org/10.1080/10438590290020197
   Google Scholar
• Beaudry, C., & Schiffauerova, A. (2009). Who’s right, Marshall or Jacobs? The localization versus urbanization debate. Research Policy, 38(2), 318–337. https://doi.org/10.1016/j.respol.2008.11.010
   Web of Science ®Google Scholar
• Belderbos, R., Ikeuchi, K., Fukao, K., Kim, Y., & Kwon, H. (2013). Plant productivity dynamics and private and public R&D spillovers: Technological, geographic and relational proximity, Center for Economic Institutions Working Paper Series No. 2013-5.
   Google Scholar
• Borusyak, K., Jaravel, X., & Spiess, J. (2021). Revisiting event study designs: Robust and efficient estimation. arXiv preprint arXiv:2108.12419.
   Google Scholar
• Callaway, B., & Sant’Anna, P. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200–230. https://doi.org/10.1016/j.jeconom.2020.12.001
   Web of Science ®Google Scholar
• de Chaisemartin, C., & D’Haultfoeuille, X. (2020). Two-way fixed effects estimators with heterogeneous treatment effects. American Economic Review, 110(9), 2964–2996. https://doi.org/10.1257/aer.20181169
   Web of Science ®Google Scholar
• de Chaisemartin, C., & D’Haultfoeuille, X. (2022). Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: A survey. Econometrics Journal, 00, 1–30.
   Google Scholar
• de Groot, H., Poot, J., & Smit, M. (2016). Which agglomeration externalities matter most and why? Journal of Economic Surveys, 30(4), 756–782. https://doi.org/10.1111/joes.12112
   Web of Science ®Google Scholar
• Dodgson, M., & Bessant, J. (1996). Effective innovation policy. International Thomson Business Press.
   Google Scholar
• Fukugawa, N. (2009). Determinants of licensing activities of local public technology centers in Japan. Technovation, 29(12), 885–892. https://doi.org/10.1016/j.technovation.2009.05.017
   Web of Science ®Google Scholar
• Fukugawa, N. (2016). Knowledge creation and dissemination by Kosetsushi in sectoral innovation systems: Insights from patent data. Scientometrics, 109(3), 2303–2327. https://doi.org/10.1007/s11192-016-2124-x
   Web of Science ®Google Scholar
• Fukugawa, N. (2018). Division of labor between innovation intermediaries for SMEs: Productivity effects of interfirm organizations in Japan. Journal of Small Business Management, 56(S1), 297–322. https://doi.org/10.1111/jsbm.12345
   Google Scholar
• Fukugawa, N. (2019). Determinants and impacts of public agricultural research: Product-level evidence from agricultural Kohsetsushi in Japan. Scientometrics, 120(3), 1475–1498. https://doi.org/10.1007/s11192-019-03158-0
   Web of Science ®Google Scholar
• Fukugawa, N. (2022). Effects of incorporating public innovation intermediaries on technology transfer performance: Evidence from patent licensing of Japan’s Kohsetsushi. Heliyon, 8(10), E11139. https://doi.org/10.1016/j.heliyon.2022.e11139
   PubMed Web of Science ®Google Scholar
• Fukugawa, N. (2024). Productivity effects of innovation intermediaries for SMEs: Evidence from Japan’s Kohsetsushi. Asian Journal of Technology Innovation. https://doi.org/10.1080/19761597.2024.2305737
   Web of Science ®Google Scholar
• Fukugawa, N., & Goto, A. (2016). Problem solving and intermediation by local public technology centers in regional innovation systems: The first report on a branch-level survey on technical consultation, RIETI Discussion Paper, 16-E-062.
   Google Scholar
• Gardner, J. (2021). Two-stage differences in differences. Working paper. https://arxiv.org/pdf/2207.05943.pdf.
   Google Scholar
• Glaeser, E., Kallal, H., Scheinkman, J., & Shleifer, A. (1992). Growth in cities. Journal of Political Economy, 100(6), 1126–1152. https://doi.org/10.1086/261856
   Web of Science ®Google Scholar
• Goodman-Bacon, A. (2021). Difference-in-differences with variation in treatment timing. Journal of Econometrics, 225(2), 254–277. https://doi.org/10.1016/j.jeconom.2021.03.014
   Web of Science ®Google Scholar
• Henderson, R., Jaffe, A., & Trajtenberg, M. (1998). Universities as a source of commercial technology: A detailed analysis of university patenting, 1965–1988. Review of Economics and Statistics, 80(1), 119–127. https://doi.org/10.1162/003465398557221
   Web of Science ®Google Scholar
• Henderson, V. (1997). Externalities and industrial development. Journal of Urban Economics, 42(3), 449–470. https://doi.org/10.1006/juec.1997.2036
   Web of Science ®Google Scholar
• Holmstrom, B., & Milgrom, P. (1991). Multitask principal–agent analyses: Incentive contracts, asset ownership, and job design. Journal of Law, Economics, & Organization, 7(special_issue), 24–52. https://doi.org/10.1093/jleo/7.special_issue.24
   Google Scholar
• Intarakumnerd, P., & Chaoroenporn, P. (2013). The roles of intermediaries and the development of their capabilities in sectoral innovation systems: A case study of Thailand. Asian Journal of Technology Innovation, 21(2), 99–114. https://doi.org/10.1080/19761597.2013.819249
   Web of Science ®Google Scholar
• Jacobs, J. (1969). The economies of cities. Random House.
   Google Scholar
• Klerkx, L., van Mierlo, B., & Leeuwis, C. (2012). Evolution of systems approaches to agricultural innovation: Concepts, analysis and interventions. In I. Darnhofer, D. Gibbon, & B. Dedieu (Eds.), Farming systems research into the 21st century: The New dynamic (pp. 457–483). Springer.
   Google Scholar
• Link, A., & van Hasselt, M. (2019). On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research. European Economic Review, 119, 472–481. https://doi.org/10.1016/j.euroecorev.2019.08.006
   Web of Science ®Google Scholar
• Marshall, A. (1890). Principles of economics. Macmillan.
   Google Scholar
• Martin, R., & Moodysson, J. (2011). Comparing knowledge bases: On the geography and organization of knowledge sourcing in the regional innovation system of Scania, Sweden. European Urban and Regional Studies, 20(2), 170–187. https://doi.org/10.1177/0969776411427326
   Web of Science ®Google Scholar
• Mowery, D., Nelson, R., Sampat, B., & Ziedonis, A. (2001). The growth of patenting and licensing by U.S. Universities: An assessment of the effects of the Bayh-Dole Act of 1980. Research Policy, 30(1), 99–119. https://doi.org/10.1016/S0048-7333(99)00100-6
   Web of Science ®Google Scholar
• Neffke, F., Henning, M., Boschma, R., Lundquist, K., & Olander, L. (2011). The dynamics of agglomeration externalities along the life cycle of industries. Regional Studies, 45(1), 49–65. https://doi.org/10.1080/00343401003596307
   Web of Science ®Google Scholar
• Romer, P. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037. https://doi.org/10.1086/261420
   Web of Science ®Google Scholar
• Sampat, B. (2006). Patenting and US academic research in the 20th century: The world before and after Bayh-Dole. Research Policy, 35(6), 772–789. https://doi.org/10.1016/j.respol.2006.04.009
   Web of Science ®Google Scholar
• Shapira, P., Youtie, J., & Kay, L. (2011). Building capabilities for innovation in SMEs: A cross-country comparison of technology extension policies and programmes. International Journal of Innovation and Regional Development, 3(3/4), 254–273. https://doi.org/10.1504/IJIRD.2011.040526
   Google Scholar
• Storper, M., & Venables, A. (2004). Buzz: Face-to-face contact and the urban economy. Journal of Economic Geography, 4(4), 351–370. https://doi.org/10.1093/jnlecg/lbh027
   Web of Science ®Google Scholar
• Sun, L., & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175–199. https://doi.org/10.1016/j.jeconom.2020.09.006
   Web of Science ®Google Scholar
• Toyoda, N. (2019). Crisis of science in Japan: Declining research capability [Kagaku Rikkoku No Kiki: Shissoku Suru Nihon No Kenkyuryoku]. Toyo Keizai Shimposha.
   Google Scholar