Analysis of the Research & Development Funding in Greece under EU Programmes

Evangelos Makryvelios, George Mavrotas


This paper presents the findings of the study of the funding of Research and Development (R&D) projects in Greece. Initially, a descriptive approach by sector and geographical area is performed on the absorption of Research and Development funds upon the completion of 1,949 research projects implemented by 3,259 research institutions in the framework of funding actions of the operational programmes of the Partnership Agreement for the Development Framework, for the 2007-2013 programming period. The absorption indicators identified by type of beneficiary, by scientific field and region resulting from the processing of the above data can be used in the future to allocate the funds for research projects. Subsequently, the paper studies the existence or not of a correlation between the initial project evaluation and the fund absorption at completion, as well as the correlation between the initial project evaluation and the effectiveness indices of projects at completion. For the specific deterministic analysis, statistical models are used with data from 293 research projects implemented in two programmes. In both cases, it appeared that there was no statistically significant relation between the initial evaluation and the degree of fund absorption or the eventual effectiveness of projects, a result which indicates that the initial evaluation approach may need improvement. 

Full Text:



Afcha, S., & López, G. (2014). Public funding of R&D and its effect on the composition of business R&D expenditure. BRQ Business Research Quarterly, 17(1), 22-30.

Afcha, S., & Lucena, A. (2020). The effectiveness of R&D subsidies in fostering firm innovation: The role of knowledge-sourcing activities. BRQ Business Research Quarterly. https://doi:10.1177/2340944420933629

Antonelli, C., & Crespi, F. (2013). The "Matthew effect" in R&D public subsidies: The Italian evidence. Technological Forecasting and Social Change, 80(8), 1523-1534.

Bulathsinhala, N. (2014).Ex-ante evaluation of publicly funded R&D projects: Searching for exploration. Science and Public Policy, 42(2), 162–175.

Caloffi, A., Mariani, M., Rossi, F., & Russo, M. (2018). A comparative evaluation of regional subsidies for collaborative and individual R&D in small and medium-sized enterprises. Research Policy, 47(8), 1437-1447.

Chapman, G., Lucena, A., & Sergio, A. (2018). R&D subsidies & external collaborative breadth: Differential gains and the role of collaboration experience. Research Policy, 47(3), 623-636.

Chen, J., Heng, C., Tan, B., & Zhijie, L. (2018). The distinct signaling effects of R&D subsidy and non-R&D subsidy on IPO performance of IT entrepreneurial firms in China. Research Policy, 47(1), 108-120.

Cozzarin, B. (2008). Data and the measurement of R&D program impacts. Evaluation and program planning, 31(3), 284-298.

Aksnes, D., Sivertsen, G., Leeuwen, T., & Wendt, K. (2017). Measuring the productivity of national R&D systems: Challenges in cross-national comparisons of R&D input and publication output indicators. Science and Public Policy, 44(2), 246–258.

Radicic, D., & Pugh, G. (2016). R&D Programmes, Policy Mix, and the ‘European Paradox’: Evidence from European SMEs. Science and Public Policy, 44(4), 497–512.

Dimos, C., & Pugh, G. (2016). The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature. Research Policy, 45(4), 797-815.

Diwei Lv D, Chen, W., & Lan, H. (2020). Multiple performance pressure inconsistency, resource slack, and the firm’s R&D investment: A behavioral agency theory perspective. BRQ Business Research Quarterly, (1-22). https://doi:10.1177/2340944420916097

European Commission. (2010). Europe 2020: A strategy for smart, sustainable and inclusive growth. Retrieved August 4, 2020 from

European Commission. (2019). Eurostat Science, technology and innovation Database. Retrieved August 4, 2020 from

Feller, I. Mapping the frontiers of evaluation of public-sector R&D programs. Science and Public Policy, 34(10), 681–690.

F.E.I.R. (2012). Solving business innovation problems. Proposals for solving barriers to business innovation. Retrieved August 18, 2020 from

Frascati, (2015). Guidelines for Collecting and Reporting Data on Research and Experimental Development. Retrieved June 24, 2020 from

General Secretariat of Public Investment and N.S.R.F. (2017). NSRF Integrated Monitoring System for Indicators and in fact for the NSRF 2014-2020 programming period. Retrieved July 4, 2020 from

Guo, D., Guo, Y., & Jiang, K. (2018). Governance and effects of public R&D subsidies: Evidence from China. Technovation, 74-75, (18-31).

Hsu, F., & Hsueh, C. (2008). Measuring relative efficiency of government-sponsored R&D projects: A three-stage approach. Evaluation and program planning, 32(178-86).

Hünermund, P., & Czarnitzki, D. (2019). Estimating the causal effect of R&D subsidies in a pan-European program. Research Policy, 48(1), 115-124.

Kim, E., Kim, S., & Kim, H. (2017). Development of an evaluation framework for publicly funded R&D projects: The case of Korea's Next Generation Network. Evaluation and Program Planning, 63(18-28).

Květoň, V., & Horák, P. (2018). The effect of public R&D subsidies on firms' competitiveness: Regional and sectoral specifics in emerging innovation systems. Applied Geography, 94(119-129).

MIA RTDI. (2009). Implementation guide for Action “Cooperation 2009”. Retrieved July 6, 2020 from

MIA RTDI. (2011). Implementation guide for Action “Cooperation 2011”. Retrieved July 6, 2020 from

Montmartin, B., Herrera, M., & Massard, N. (2018). The impact of the French policy mix on business and R&D: how geography matters. Research Policy, 47(10), 2010-2027.

National Documentation Center (2019). Research and Development Expenditure and Personnel in Greece in 2018, Preliminary data. Retrieved April 4, 2020 from

National Documentation Center (2018). Regional Knowledge Intensive Activities in Greece in 2017. Retrieved April 4, 2020 from

Onken, J., Aragon, R., & Calcagno, A. (2019). Geographically-Related Outcomes of U.S. Funding for Small Business Research and Development: Results of the Research Grant Programs of a Component of the National Institutes of Health. Evaluation and Program Planning, 77, (101696).

Silva, A., Silva, S., & Carneiro, A. (2017). Determinants of grant decisions in R&D subsidy programmes: Evidence from firms and S&T organisations in Portugal. Science and Public Policy, 44(5), 683–697.

Sohn, S., Yong, G., & Han, H. (2007). Structural equation model for the evaluation of national funding on R&D project of SMEs in consideration with MBNQA criteria. Evaluation and program planning, 30(10-20).

Vanino, E., Roper, S., & Becker, B. (2019). Knowledge to money: Assessing the business performance effects of publicly-funded R&D grants. Research Policy, 48(7), 1714-1737.

Yang, J., Ma, J., Doty, D., & Lee, J. (2020). IJV’s political ties and R&D strategy: Asymmetric contingencies of market versus governmental policy turbulence. BRQ Business Research Quarterly. December. https://doi:10.1177/2340944420977858


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Journal of Public Administration and Governance  ISSN 2161-7104

Copyright © Macrothink Institute

'Macrothink Institute' is a trademark of Macrothink Institute, Inc.

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.