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

Author

Listed:
  • Jonathan Eberle

    () (Department of Economic Geography and Location Research, Philipps University Marburg)

  • Philipp Boeing

    () (ZEW - Leibniz Centre for European Economic Research, Mannheim and Peking University, China Center for Economic Research (CCER), Beijing)

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 incentivize 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

  • Jonathan Eberle & Philipp Boeing, 2019. "Effects of R&D subsidies on regional economic dynamics: Evidence from Chinese provinces," Working Papers on Innovation and Space 2019-03, Philipps University Marburg, Department of Geography.
  • Handle: RePEc:pum:wpaper:2019-03
    as

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    References listed on IDEAS

    as
    1. Hanna Hottenrott & Bettina Peters, 2012. "Innovative Capability and Financing Constraints for Innovation: More Money, More Innovation?," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1126-1142, November.
    2. Valter Giacinto, 2010. "On vector autoregressive modeling in space and time," Journal of Geographical Systems, Springer, vol. 12(2), pages 125-154, June.
    3. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    4. Shang-Jin Wei & Zhuan Xie & Xiaobo Zhang, 2017. "From "Made in China" to "Innovated in China": Necessity, Prospect, and Challenges," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 49-70, Winter.
    5. Li, Xibao, 2009. "China's regional innovation capacity in transition: An empirical approach," Research Policy, Elsevier, vol. 38(2), pages 338-357, March.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    China; R&D subsidies; regional economic growth; panel VAR; impulse response functions;

    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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