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Misappropriation of R&D Subsidies: Estimating Treatment Effects with One-sided Noncompliance

Author

Listed:
  • Philipp Boeing

    (ZEW – Leibniz Centre for European Economic Research)

  • Bettina Peters

    (ZEW – Leibniz Centre for European Economic Research)

Abstract

In evaluating the effectiveness of R&D subsidies, the literature has focused on potential crowding out effects, while the possibility of misappropriation of public funds that results from moral hazard behavior has been completely neglected. This study develops a theoretical framework with which to identify misappropriation. Using Chinese firm-level data for the period 2001-2011, we show that misappropriation is a major threat. 42% of grantees misused R&D subsidies for non-research purposes, accounting for 53% of the total amount of R&D subsidies. In a second step, we study the loss of effectiveness of R&D subsidies in stimulating R&D expenditures that is due to misappropriation. We measure the loss in effectiveness by estimating the causal effect of R&D subsidies in the presence of misappropriation using an intention-to-treat (ITT) estimator and comparing it to the ideal situation (without misappropriation) using the complier average causal effect (CACE). We find that China’s R&D policy could have been more than twice as effective in boosting R&D without misappropriation. R&D expenditures could have been stimulated beyond the subsidy amount (additionality), but noncompliant behavior has resulted in a moderately strong partial crowding out effect. We find significant treatment heterogeneity by period, subsidy size, industry, and ownership. Notably, the loss in effectiveness has diminished following a policy reform in 2006. Nevertheless, the misappropriation of public funds considerably undermines the impact of R&D policies in China.

Suggested Citation

  • Philipp Boeing & Bettina Peters, 2021. "Misappropriation of R&D Subsidies: Estimating Treatment Effects with One-sided Noncompliance," DEM Discussion Paper Series 21-23, Department of Economics at the University of Luxembourg.
  • Handle: RePEc:luc:wpaper:21-23
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    References listed on IDEAS

    as
    1. Zhen Sun & Zhen Lei & Zhifeng Yin, 2018. "Innovation policy in China: nationally promulgated but locally implemented," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1481-1486, December.
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    Citations

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    Cited by:

    1. Boxu Yang & Xielin Liu & Yuchen Gao & Langmei Zhu, 2023. "A research on the effectiveness of innovation policy for regional innovation under Chinese long-range plan," Science and Public Policy, Oxford University Press, vol. 50(3), pages 491-508.
    2. Andrea Simone, 2023. "What Drives Technological Change in Regions? Relatedness and R&D Subsidies in the US from 1981 to 2010," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 114(2), pages 133-156, April.
    3. Boeing, Philipp & Peters, Bettina, 2021. "A new China shock? The untold story of China's R&D subsidies," ZEW Expert Briefs 21-10, ZEW - Leibniz Centre for European Economic Research.
    4. Kállay, László & Takács, Tibor, 2023. "The impact of public subsidies on investment and growth: Policy about evaluation, selection and monitoring," Journal of Policy Modeling, Elsevier, vol. 45(5), pages 895-909.
    5. Agnes Kügler & Klaus Friesenbichler & Jürgen Janger, 2023. "Innovationen und Investitionen österreichischer Unternehmen in der Krise," WIFO Studies, WIFO, number 70681, April.

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    More about this item

    Keywords

    R&D subsidies; misappropriation; China; moral hazard; policy evaluation.;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation

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