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The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature

机译:研发补贴的有效性:评估文献的元回归分析

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摘要

Widespread and increasing public subsidy for research and development (R&D) has given rise to a large and growing number of evaluation studies. While economic theory identifies market failures that justify public support, theory also suggests reasons why returns might be disappointing. Similarly, the empirical literature investigated - 52 micro-level studies published since 2000 on either input or output R&D -reports a wide range of findings. The lack of conclusiveness both of theory and of the evaluation literature motivate this Meta-Regression Analysis (MRA). This study contributes to policy debate by identifying a representative subsidy effect: after controlling for publication selection bias and for a wide range of sample and study heterogeneities, MRA findings reject crowding out of private investment by public subsidy but reveal no evidence of substantial additionality. In addition, among the research practices explaining the heterogeneous effects reported in this literature, those related to the treatment of unobservable firm heterogeneity are particularly important.
机译:越来越多的公共研究与开发补贴(R&D)引起了越来越多的评估研究。尽管经济学理论确定了市场失灵可以证明公众支持的合理性,但理论也提出了回报可能令人失望的原因。同样,所研究的经验文献-自2000年以来发表的有关投入或产出R&D的52个微观研究-报告了广泛的发现。理论和评估文献都缺乏结论性,这促使了元回归分析(MRA)。这项研究通过确定代表性的补贴效果,为政策辩论做出了贡献:在控制了出版物选择的偏见以及广泛的样本和研究异质性之后,MRA的研究结果拒绝了公共补贴挤占私人投资的现象,但没有发现任何实质性的额外证据。此外,在解释该文献报道的异质性影响的研究实践中,与无法观察到的公司异质性的治疗有关的那些研究尤为重要。

著录项

  • 来源
    《Research policy》 |2016年第4期|797-815|共19页
  • 作者

    Christos Dimos; Geoff Pugh;

  • 作者单位

    Centre for Applied Business Research (CABR), Faculty of Business, Education and Law, Staffordshire University, Leek Road, Brindley Building, Stoke-on-Trent ST4 2DF, UK;

    Centre for Applied Business Research (CABR), Faculty of Business, Education and Law, Staffordshire University, Leek Road, Brindley Building, Stoke-on-Trent ST4 2DF, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    RD subsidies; Evaluation; Meta-regression analysis; Publication bias; Additionality; Crowding out;

    机译:研发补贴;评估;元回归分析;出版偏见;附加性;挤出来;
  • 入库时间 2022-08-18 02:51:51

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