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“SMEs’ Innovation Policy” on Innovation of Technology-based SMEs: A Fuzzy Regression Discontinuity Design

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  • Zhao, Kai
  • Wu, Wan-Shu
  • Ye, Jun-Mei

Abstract

We use the Fuzzy RD design toexplo re the influence of R&D subsidies and tax incentives in the “SMEsʼ Innovation Policy” on the innovation of technology-based SMEs. The results reveal that the “SMEsʼ Innovation Policy” can effectively stimulate the innovation of technology-based SMEs. Regardless of R&D subsidies or tax incentives means, the incentive effect of “SMEsʼ Innovation Policy” on strategic innovation is always stronger than substantial innovation. For the technology-based SMEs in the central-and-western region, the “SMEsʼ Innovation Policy” cannot significantly promote innovation, and may even inhibit it.

Suggested Citation

  • Zhao, Kai & Wu, Wan-Shu & Ye, Jun-Mei, 2021. "“SMEs’ Innovation Policy” on Innovation of Technology-based SMEs: A Fuzzy Regression Discontinuity Design," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 62(1), pages 1-32, June.
    • Handle: RePEc:hit:hitjec:v:62:y:2021:i:1:p:1-32
    DOI: 10.15057/hje.2021001
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    References listed on IDEAS

    as
    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    3. Czarnitzki, Dirk & Hanel, Petr & Rosa, Julio Miguel, 2011. "Evaluating the impact of R&D tax credits on innovation: A microeconometric study on Canadian firms," Research Policy, Elsevier, vol. 40(2), pages 217-229, March.
    4. Zawalińska, Katarzyna & Tran, Nhi & Płoszaj, Adam, 2018. "R&D in a post centrally-planned economy: The macroeconomic effects in Poland," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 37-59.
    5. Boris Lokshin & Pierre Mohnen, 2012. "How effective are level-based R&D tax credits? Evidence from the Netherlands," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1527-1538, April.
    6. Dan A. Black & Jose Galdo & Jeffrey A. Smith, 2007. "Evaluating the Worker Profiling and Reemployment Services System Using a Regression Discontinuity Approach," American Economic Review, American Economic Association, vol. 97(2), pages 104-107, May.
    7. John DiNardo & David S. Lee, 2004. "Economic Impacts of Unionization on Private Sector Employers: 1984-2001," NBER Working Papers 10598, National Bureau of Economic Research, Inc.
    8. Yohei Kobayashi, 2014. "Effect of R&D tax credits for SMEs in Japan: a microeconometric analysis focused on liquidity constraints," Small Business Economics, Springer, vol. 42(2), pages 311-327, February.
    9. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    10. Hsu, Po-Hsuan & Tian, Xuan & Xu, Yan, 2014. "Financial development and innovation: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 112(1), pages 116-135.
    11. John DiNardo & David S. Lee, 2004. "Economic Impacts of New Unionization on Private Sector Employers: 1984–2001," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1383-1441.
    12. Sabrina T. Howell, 2017. "Financing Innovation: Evidence from R&D Grants," American Economic Review, American Economic Association, vol. 107(4), pages 1136-1164, April.
    13. Gregory Tassey, 2007. "Tax incentives for innovation: time to restructure the R&E tax credit," The Journal of Technology Transfer, Springer, vol. 32(6), pages 605-615, December.
    14. Lin, Chen & Lin, Ping & Song, Frank, 2010. "Property rights protection and corporate R&D: Evidence from China," Journal of Development Economics, Elsevier, vol. 93(1), pages 49-62, September.
    15. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Roc ́ıo Titiunik, 2017. "rdrobust: Software for regression-discontinuity designs," Stata Journal, StataCorp LP, vol. 17(2), pages 372-404, June.
    16. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    17. Meuleman, Miguel & De Maeseneire, Wouter, 2012. "Do R&D subsidies affect SMEs’ access to external financing?," Research Policy, Elsevier, vol. 41(3), pages 580-591.
    18. Patrick J. McEwan & Joseph S. Shapiro, 2008. "The Benefits of Delayed Primary School Enrollment: Discontinuity Estimates Using Exact Birth Dates," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    19. Zhao, Kai & Wu, Wanshu, 2015. "Ambiguity Between Pirate Incentive And Collective Desirability Within Semi-Delegation Pattern," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 56(2), pages 259-279, December.
    20. Boeing, Philipp, 2016. "The allocation and effectiveness of China’s R&D subsidies - Evidence from listed firms," Research Policy, Elsevier, vol. 45(9), pages 1774-1789.
    21. Yanmei Zhu & Xinhua Wittmann & Mike Peng, 2012. "Institution-based barriers to innovation in SMEs in China," Asia Pacific Journal of Management, Springer, vol. 29(4), pages 1131-1142, December.
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    More about this item

    Keywords

    SMEsʼ innovation policy; technology-based SMEs; substantive innovation; strategic innovation; fuzzy RDD;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy

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