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

被引:302
作者
Dimos, Christos [1 ]
Pugh, Geoff [1 ]
机构
[1] Staffordshire Univ, CABR, Fac Business Educ & Law, Leek Rd,Brindley Bldg, Stoke On Trent ST4 2DF, Staffs, England
关键词
R&D subsidies; Evaluation; Meta-regression analysis; Publication bias; Additionality; Crowding out; PUBLIC SUBSIDIES; DEVELOPMENT INVESTMENT; ECONOMICS; METAANALYSIS; COMPLEMENT; BIAS;
D O I
10.1016/j.respol.2016.01.002
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
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. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:797 / 815
页数:19
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