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Can government subsidy strategies and strategy combinations effectively stimulate enterprise innovation? Theory and evidence

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  • Wanshu Wu

    (Huaqiao University)

  • Kai Zhao

    (Huaqiao University)

  • Lei Li

    (Huaqiao University)

Abstract

This paper tries to disentangle between the effects of non-R&D and R&D subsidies, and explores the mechanism of different subsidies and their combination on R&D investment and innovation output of listed enterprises in China by combining theory with empirical research. Based on the unbalanced panel data of 2707 Chinese listed enterprises from the year 2008 to 2015, this study confirms that both R&D subsidy and non-R&D subsidy have an incentive effect on the R&D investment, but the former is more effective than the latter. When R&D subsidy is at a high level, there is a positive relation between government non-R&D subsidies and enterprise R&D investment; sufficient non-R&D subsidies can effectively strengthen the incentive effect of R&D subsidies on R&D investment of enterprises. Furthermore, R&D subsidy can promote the innovation output of enterprises through direct and indirect paths, whereas, non-R&D subsidy or subsidy policy-mix has a certain “masking effect” on the innovation output.

Suggested Citation

  • Wanshu Wu & Kai Zhao & Lei Li, 2021. "Can government subsidy strategies and strategy combinations effectively stimulate enterprise innovation? Theory and evidence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 423-446, July.
  • Handle: RePEc:spr:epolit:v:38:y:2021:i:2:d:10.1007_s40888-021-00230-y
    DOI: 10.1007/s40888-021-00230-y
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    1. Liliana Gelabert & Andrea Fosfuri & Josep A. Tribó, 2009. "Does The Effect Of Public Support For R&D Depend On The Degree Of Appropriability?," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 736-767, December.
    2. Raffaello Bronzini & Eleonora Iachini, 2014. "Are Incentives for R&D Effective? Evidence from a Regression Discontinuity Approach," American Economic Journal: Economic Policy, American Economic Association, vol. 6(4), pages 100-134, November.
    3. Charles Bérubé & Pierre Mohnen, 2009. "Are firms that receive R&D subsidies more innovative?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(1), pages 206-225, February.
    4. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    5. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    6. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 121-134, March.
    7. 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.
    8. Saul Lach, 2002. "Do R&D Subsidies Stimulate or Displace Private R&D? Evidence from Israel," Journal of Industrial Economics, Wiley Blackwell, vol. 50(4), pages 369-390, December.
    9. Catozzella, Alessandra & Vivarelli, Marco, 2011. "Beyond Additionality: Are Innovation Subsidies Counterproductive?," IZA Discussion Papers 5746, Institute of Labor Economics (IZA).
    10. Dirk Czarnitzki & Cindy Lopes-Bento, 2014. "Innovation Subsidies: Does the Funding Source Matter for Innovation Intensity and Performance? Empirical Evidence from Germany," Industry and Innovation, Taylor & Francis Journals, vol. 21(5), pages 380-409, July.
    11. Aschhoff, Birgit & Sofka, Wolfgang, 2009. "Innovation on demand--Can public procurement drive market success of innovations?," Research Policy, Elsevier, vol. 38(8), pages 1235-1247, October.
    12. Bettina Becker, 2015. "Public R&D Policies And Private R&D Investment: A Survey Of The Empirical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 29(5), pages 917-942, December.
    13. Katrin Hussinger, 2008. "R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
    14. Hottenrott, Hanna & Lopes-Bento, Cindy, 2014. "(International) R&D collaboration and SMEs: The effectiveness of targeted public R&D support schemes," Research Policy, Elsevier, vol. 43(6), pages 1055-1066.
    15. Marino, Marianna & Lhuillery, Stephane & Parrotta, Pierpaolo & Sala, Davide, 2016. "Additionality or crowding-out? An overall evaluation of public R&D subsidy on private R&D expenditure," Research Policy, Elsevier, vol. 45(9), pages 1715-1730.
    16. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    17. Bettina Becker & Nigel Pain, 2008. "What Determines Industrial R&D Expenditure In The Uk?," Manchester School, University of Manchester, vol. 76(1), pages 66-87, January.
    18. Dirk Czarnitzki & Julie Delanote, 2017. "Incorporating innovation subsidies in the CDM framework: empirical evidence from Belgium," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(1-2), pages 78-92, February.
    19. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    20. Guerzoni, Marco & Raiteri, Emilio, 2012. "Innovative public procurement and R&D Subsidies: hidden treatment and new empirical evidence on the technology policy mix in a quasi-experimental setting," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201218, University of Turin.
    21. Dominique Guellec & Bruno Van Pottelsberghe De La Potterie, 2003. "The impact of public R&D expenditure on business R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 225-243.
    22. Spyros Arvanitis & Laurent Donzé & Nora Sydow, 2010. "Impact of Swiss technology policy on firm innovation performance: an evaluation based on a matching approach," Science and Public Policy, Oxford University Press, vol. 37(1), pages 63-78, February.
    23. Oliviero Carboni, 2011. "R&D subsidies and private R&D expenditures: evidence from Italian manufacturing data," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(4), pages 419-439.
    24. Scott J. Wallsten, 2000. "The Effects of Government-Industry R&D Programs on Private R&D: The Case of the Small Business Innovation Research Program," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 82-100, Spring.
    25. David Aristei & Alessandro Sterlacchini & Francesco Venturini, 2017. "Effectiveness of R&D subsidies during the crisis: firm-level evidence across EU countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 26(6), pages 554-573, August.
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    2. Gao(高凯), Kai & Wang(王玲), Ling & Liu(刘婷婷), Tingting & Zhao(赵华擎), Huaqing, 2022. "Management executive power and corporate green innovation——Empirical evidence from China's state-owned manufacturing sector," Technology in Society, Elsevier, vol. 70(C).
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    4. Pan, Xianyou & Yuan, Ge & Wu, Xianhua & Xie, Pinjie, 2023. "The effects of government subsidies on the economic profits of hydrogen energy enterprises – An analysis based on A-share listed enterprises in China," Renewable Energy, Elsevier, vol. 211(C), pages 445-451.
    5. Han Xiao & Cheng Ma & Hongwei Gao & Ye Gao & Yang Xue, 2022. "Green Transformation of Anti-Epidemic Supplies in the Post-Pandemic Era: An Evolutionary Approach," IJERPH, MDPI, vol. 19(10), pages 1-26, May.
    6. Bingqiang Li & Shan Wang & Nannan Dong & Jinzhi Li & Xi Li & He Yu, 2023. "Empirical Analysis of Subsidy Industrial Policy’s Effect on Export Innovation in the Chinese Manufacturing," SAGE Open, , vol. 13(4), pages 21582440231, November.

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    More about this item

    Keywords

    Non-R&D subsidies; Strategy combination; Subsidy policy-mix; R&D investment;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • H20 - Public Economics - - Taxation, Subsidies, and Revenue - - - General
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure

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