ARE THERE ANY ECONOMIC IMPACTS OF BUSINESS R&D SUPPORT? THE CASE OF THE CZECH REPUBLIC

被引:7
作者
Ratinger, T. [1 ]
Cadil, V [1 ]
Amoako, Agyemang S. [2 ]
机构
[1] Czech Acad Sci, Technol Ctr, Ve Struhach 27, Prague 16000 6, Czech Republic
[2] Czech Univ Life Sci Prague, Kamycka 129, Prague 16500 6, Suchdol, Czech Republic
关键词
R&D support; economic impacts; econometric approaches; generalized propensity score matching; DEVELOPMENT SUBSIDIES; PUBLIC SUBSIDIES; FIRMS; INNOVATION; SIZE; PERFORMANCE; ENTERPRISES; PROGRAMS; SCHEMES; INPUT;
D O I
10.18267/j.cebr.251
中图分类号
F [经济];
学科分类号
02 ;
摘要
Evaluation of the economic impact of public research and development (R&D) support has become an integral part of the policymaking process. The paper examines the economic effects of the Czech programme TIP supporting R&D in private companies in the recent decade and aspires to contribute to the debate on quantitative methods for assessing outputs additionality of public R&D programmes. The analysis is based on the counter-factual econometric approach, because an appropriate control group could not be found among the unsupported companies, a so-called generalized propensity score matching (GPSM) was used. Two data sources were used: monitoring data of the programme TIP and economic data from the database Bisnode-MagnusWeb. The impact of R&D support on the firms' performance was measured by output indicators: gross value added, profit and productivity. Treatment effects are diverse depending on firm sizes. Generally, the R&D support effects are positive and more substantial in small and medium firms (SMEs) while there are no such effects confirmed for large firms. The support could only impact positively on the output (profit, productivity and gross value added) of small firms only after reaching a certain minimum threshold of the support whereas output diminishes for medium firms after a point of saturation. Implications for Central European audience: This paper results could be useful for policymakers and R&D funding providers because it provides evidence about the microeconomic impacts of programmes, namely it shows the differentiated effects of public interventions toby the size categories of beneficiaries. The analysis confirms that GPSM approach provides deliver logical outcomes and if the investigation is situated to the right period after the programme is accomplished, it has a potential to bring more insight in the effects than the standard dichotomous model.
引用
收藏
页码:45 / 62
页数:18
相关论文
共 38 条
  • [21] The effect of public R&D subsidies on firms' competitiveness: Regional and sectoral specifics in emerging innovation systems
    Kveton, Viktor
    Horak, Petr
    [J]. APPLIED GEOGRAPHY, 2018, 94 : 119 - 129
  • [22] Is there a linear relationship between R&D intensity and growth? Empirical evidence of non-high-tech vs. high-tech SMEs
    Nunes, Paulo Macas
    Serrasqueiro, Zelia
    Leitao, Joao
    [J]. RESEARCH POLICY, 2012, 41 (01) : 36 - 53
  • [23] THE SIZE DISTRIBUTION OF INNOVATING FIRMS IN THE UK - 1945-1983
    PAVITT, K
    ROBSON, M
    TOWNSEND, J
    [J]. JOURNAL OF INDUSTRIAL ECONOMICS, 1987, 35 (03) : 297 - 316
  • [24] Petrin T., 2017, LIT REV IMPACT EFFEC
  • [25] The impact of innovation support programs on small and medium enterprises innovation in traditional manufacturing industries: An evaluation for seven European Union regions
    Radicic, Dragana
    Pugh, Geoffrey
    Hollanders, Hugo
    Wintjes, Rene
    Fairburn, Jon
    [J]. ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY, 2016, 34 (08): : 1425 - 1452
  • [26] Radicic D, 2015, PROC EUR CONF ENTREP, P567
  • [27] Ratinger T, 2019, PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE INNOVATION MANAGEMENT, ENTREPRENEURSHIP AND SUSTAINABILITY (IMES 2019), P771
  • [28] R&D as a determinant of innovation in manufacturing SMEs: An attempt at empirical clarification
    Raymond, Louis
    St-Pierre, Josee
    [J]. TECHNOVATION, 2010, 30 (01) : 48 - 56
  • [29] THE CENTRAL ROLE OF THE PROPENSITY SCORE IN OBSERVATIONAL STUDIES FOR CAUSAL EFFECTS
    ROSENBAUM, PR
    RUBIN, DB
    [J]. BIOMETRIKA, 1983, 70 (01) : 41 - 55
  • [30] ROTHWELL M, 1994, HDB IND INNOVATION