The effectiveness of public subsidy on innovation and subcontracting regimes in Korean manufacturing SMEs

References

• Adams, R., Bessant, J., & Phelps, R. (2006). Innovation management measurement: A review. International Journal of Management Reviews, 8(2), 21–47. https://doi.org/10.1111/j.1468-2370.2006.00119.x
   Google Scholar
• Aoki, M., Kim, H. K., & Okuno-Fujiwara, M. (1997). The role of government in East Asian economic development: Comparative institutional analysis. Clarendon Press.
   Google Scholar
• Becheikh, N., Landry, R., & Amara, N. (2006). Lessons from innovation empirical studies in the manufacturing sector: A systematic review of the literature from 1993–2003. Technovation, 26(5-6), 644–664. https://doi.org/10.1016/j.technovation.2005.06.016
   Web of Science ®Google Scholar
• Chesbrough, H. W. (2006). Open innovation: The new imperative for creating and profiting from technology. Harvard Business Press.
   Google Scholar
• Clarysse, B., Wright, M., & Mustar, P. (2009). Behavioural additionality of R&D subsidies: A learning perspective. Research Policy, 38(10), 1517–1533. https://doi.org/10.1016/j.respol.2009.09.003
   Web of Science ®Google Scholar
• Cumming, D. J., Grilli, L., & Murtinu, S. (2017). Governmental and independent venture capital investments in Europe: A firm-level performance analysis. Journal of Corporate Finance, 42, 439–459. https://doi.org/10.1016/j.jcorpfin.2014.10.016
   Web of Science ®Google Scholar
• Deardorff, A. V., & Djankov, S. (2000). Knowledge transfer under subcontracting: Evidence from Czech firms. World Development, 28(10), 1837–1847. https://doi.org/10.1016/S0305-750X(00)00060-7
   Web of Science ®Google Scholar
• Dimos, C., & Pugh, G. (2016). The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature. Research Policy, 45(4), 797–815. https://doi.org/10.1016/j.respol.2016.01.002
   Web of Science ®Google Scholar
• Dvouletý, O., Srhoj, S., & Pantea, S. (2020). Public SME grants and firm performance in European Union: A systematic review of empirical evidence. Small Business Economics, 1–21. https://doi.org/10.1007/s11187-019-00306-x
   Google Scholar
• Dyer, J. H., & Nobeoka, K. (2000). Creating and managing a high-performance knowledge-sharing network: The Toyota case. Strategic Management Journal, 21(3), 345–367. https://doi.org/10.1002/(SICI)1097-0266(200003)21:3<345::AID-SMJ96>3.0.CO;2-N
   Web of Science ®Google Scholar
• EIM Business and Policy Research. (2009). EU SMEs and subcontracting.
   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
• Georghiou, L. (2002). Impact and additionality of innovation policy. In P. Boekholt (Ed.), Innovation policy and sustainable development: Can innovation incentives make a difference (pp. 57–65). IWT Observatory.
   Google Scholar
• González, X., & Pazó, C. (2008). Do public subsidies stimulate private R&D spending? Research Policy, 37(3), 371–389. https://doi.org/10.1016/j.respol.2007.10.009
   Web of Science ®Google Scholar
• Hagenaars, J. A., & McCutcheon, A. L. (2002). Applied latent class analysis. Cambridge University Press.
   Google Scholar
• Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404–1427. https://doi.org/10.1177/0149206309343469
   Web of Science ®Google Scholar
• Imai, K., & Ratkovic, M. (2014). Covariate balancing propensity score. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 76(1), 243–263. https://doi.org/10.1111/rssb.12027
   Web of Science ®Google Scholar
• Jensen, M. B., Johnson, B., Lorenz, E., & Lundvall, B. A. (2007). Forms of knowledge and modes of innovation. Research Policy, 36(5), 680–693. https://doi.org/10.1016/j.respol.2007.01.006
   Web of Science ®Google Scholar
• Kim, K. (2019a). Input and behavioural additionality effects of public R&D subsidy on innovation: The moderating effects of sales dependence on large firms. Journal of Entrepreneurship and Venture Studies, 22(1), 13–35. https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002434432
   Google Scholar
• Kim, K. (2019b). Moderating effects of legitimacy on the liability-and R&D investment-innovation relationships in manufacturing SMEs. Asian Journal of Technology Innovation, 27(1), 23–45. https://doi.org/10.1080/19761597.2019.1594321
   Web of Science ®Google Scholar
• Kim, K. (2020). Output additionality of R&D subsidy on manufacturing venture firms in Korea: The moderating role of subcontracting regime. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-05-2019-0130
   Google Scholar
• Kimura, F. (2001). Subcontracting and the performance of small and medium firms in Japan. The International Bank for Reconstruction and Development/The World Bank.
   Google Scholar
• KOSIS. (2021). The number of firms and sales revenue by firm size, Statistics Korea. Retrieved May 8, 2021, from, https://kosis.kr/statisticsList/statisticsListIndex.do?vwcd=MT_ZTITLE&menuId=M_01_01#content-group
   Google Scholar
• Krackhardt, D. (1992). The strength of strong ties: The importance of philos in organizations. In N. Nohria & R. G. Ecckes (Eds.), Networks and organizations: Structure, form, and action (pp. 216–239). Harvard Business School Press.
   Google Scholar
• Laursen, K., & Salter, A. (2006). Open for innovation: The role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131–150. https://doi.org/10.1002/smj.507
   Web of Science ®Google Scholar
• Lee, K., Song, J., & Kwak, J. (2015). An exploratory study on the transition from OEM to OBM: Case studies of SMEs in Korea. Industry and Innovation, 22(5), 423–442. https://doi.org/10.1080/13662716.2015.1064257
   Web of Science ®Google Scholar
• Leyden, D. P., & Link, A. N. (2015). Public sector entrepreneurship: US technology and innovation policy. Oxford University Press.
   Google Scholar
• Lin, C., Wu, Y. J., Chang, C., Wang, W., & Lee, C. Y. (2012). The alliance innovation performance of R&D alliances – the absorptive capacity perspective. Technovation, 32(5), 282–292. https://doi.org/10.1016/j.technovation.2012.01.004
   Web of Science ®Google Scholar
• Liu, W., Kuramoto, S. J., & Stuart, E. A. (2013). An introduction to sensitivity analysis for unobserved confounding in nonexperimental prevention research. Prevention Science, 14(6), 570–580. https://doi.org/10.1007/s11121-012-0339-5
   PubMed Web of Science ®Google Scholar
• Love, J. H., & Roper, S. (2015). SME innovation, exporting and growth: A review of existing evidence. International Small Business Journal: Researching Entrepreneurship, 33(1), 28–48. https://doi.org/10.1177/0266242614550190
   Web of Science ®Google Scholar
• Lucena, A., & Afcha, S. (2014). Public support for R&D, knowledge sourcing and firm innovation: Examining a mediated model with evidence from the manufacturing industries. CENTRUM Católica’s Working Paper, 2014-06-0002, Pontificia Universidad Católica del Perú.
   Google Scholar
• Luo, S., & Sun, Y. (2020). Do selective R&D incentives from the government promote substantive innovation? Evidence from Shanghai technological enterprises. Asian Journal of Technology Innovation, 28(3), 323–342. https://doi.org/10.1080/19761597.2020.1758586
   Web of Science ®Google Scholar
• MSS. (2020). Survey on actual state of SMEs. Ministry of SMEs and Startups of Korea.
   Google Scholar
• Petrin, T. (2018). A literature review on the impact and effectiveness of government support for R&D and innovation. Working Paper, 05-2018, ISIGrowth.
   Google Scholar
• Roper, S., & Hewitt-Dundas, N. (2016). The legacy of public subsidies for innovation: Input, output and behavioural additionality effects. ERC Research Paper No 21, Enterprise Research Centre.
   Google Scholar
• Rosenbaum, P. R. (2002). Sensitivity to hidden bias. In Observational studies (Springer series in statistics, pp. 105–170). Springer.
   Google Scholar
• Rowley, T., Behrens, D., & Krackhardt, D. (2000). Redundant governance structures: An analysis of structural and relational embeddedness in the steel and semiconductor industries. Strategic Management Journal, 21(3), 369–386. https://doi.org/10.1002/(SICI)1097-0266(200003)21:3<369::AID-SMJ93>3.0.CO;2-M
   Web of Science ®Google Scholar
• Shefer, D., & Frenkel, A. (2005). R&D, firm size and innovation: An empirical analysis. Technovation, 25(1), 25–32. https://doi.org/10.1016/S0166-4972(03)00152-4
   Web of Science ®Google Scholar
• Tirole, J. (1988). The theory of industrial organization. MIT press.
   Google Scholar
• Ulrich, D., & Barney, J. B. (1984). Perspectives in organizations: Resource dependence, efficiency, and population. Academy of Management Review, 9(3), 471–481. https://doi.org/10.5465/amr.1984.4279680
   Web of Science ®Google Scholar
• UNCTAD (United Nations Conference on Trade and Development). (2001). World investment report 2001: Promoting linkages. United Nations.
   Google Scholar
• Williamson, O. E. (1985). The economic institution of capitalism. The Free Press.
   Google Scholar
• Wu, R., Liu, Z., Ma, C., & Chen, X. (2020). Effect of government R&D subsidies on firms’ innovation in China. Asian Journal of Technology Innovation, 28(2), 163–180. https://doi.org/10.1080/19761597.2019.1693901
   Google Scholar