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Effects of R&D subsidies on regional economic dynamics: Evidence from Chinese provinces

Author

Listed:
  • Eberle, Jonathan
  • Böing, Philipp
Abstract
We investigate the impact of research and development (R&D) subsidies on R&D inputs of large- and medium-sized firms and on additional innovation and economic activities in Chinese provinces. A panel vector autoregressive (VAR) model and corresponding impulse response function (IRF) analysis allow us to differentiate between direct and indirect effects, which add up to total effects. We find that an increase of R&D subsidies significantly decreases private R&D investments, although there is a significant positive effect on the R&D personnel employed in firms. We interpret these findings as a partial crowding-out effect because public funds substitute some private funds while total R&D inputs still increase. Complementarily, we find a positive secondary effect on the provincial patent activity, our measure of technological progress. Interestingly, we also find potentially unintended effects of R&D subsidies on increases in the investment rate in physical capital and residential buildings. Although R&D subsidies fail to incentivise private R&D expenditures, firms increase total R&D inputs, and provincial economies benefit from secondary effects on technological progress and capital deepening.

Suggested Citation

  • Eberle, Jonathan & Böing, Philipp, 2019. "Effects of R&D subsidies on regional economic dynamics: Evidence from Chinese provinces," ZEW Discussion Papers 19-038, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:19038
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    Cited by:

    1. Carsten A. Holz, 2020. "PRC Industrial Policies Postdate Rather Than Lead Economic Activity," CESifo Working Paper Series 8097, CESifo.
    2. Boeing, Philipp, 2020. "Innovative China: R&D subsidies, patent measures, and productivity," ZEW Expert Briefs 20-15, ZEW - Leibniz Centre for European Economic Research.
    3. Gao, Kang & Yuan, Yijun, 2022. "Spatiotemporal pattern assessment of China’s industrial green productivity and its spatial drivers: Evidence from city-level data over 2000–2017," Applied Energy, Elsevier, vol. 307(C).

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    More about this item

    Keywords

    China; R&D subsidies; regional economic development; panel VAR; impulse response function;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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