R&D expenditure and regional innovation in Italy: evidence from a panel data analysis
DOI:
https://doi.org/10.71014/sieds.v80i4.562Abstract
This study investigates the relationship between Research and Development (R&D) expenditure and innovation across Italian regions, employing patent applications as a proxy for innovation output. The primary objective is to assess the extent to which different types of R&D expenditure — higher education, business, and public sector — contribute to regional innovation capacity, under the assumption that knowledge constitutes a fundamental driver of economic growth. The findings reveal that higher education R&D expenditure has a significant and positive long-term impact on patent production, while business and public R&D expenditures show no statistically significant effects. These results highlight the central role of universities in Italy’s innovation system and suggest policy implications aimed at enhancing university-industry collaboration and improving the effectiveness of public R&D funding.
References
ABRAMO G., D’ANGELO C. A. 2009. The alignment of public research supply and industry demand for effective technology transfer: the case of Italy. Science and Public Policy, Vol. 36, No. 1, pp. 2-14. DOI: https://doi.org/10.3152/030234209X403226
ABRAMO G., D’ANGELO C. A. 2022. Drivers of academic engagement in public–private research collaboration: An empirical study. The Journal of Technology Transfer, Vol. 47, No. 6, pp. 1861–1884. DOI: https://doi.org/10.1007/s10961-021-09884-z
AGHION P., HOWITT P. 1992. A model of growth through creative destruction, Econometrica, Vol. 60, No. 2, pp. 323-351. DOI: https://doi.org/10.2307/2951599
AGHION P., HOWITT P. 1998. Endogenous growth theory. Cambridge, MA: MIT Press.
ARCHIBUGI D. 1992. Patenting as an indicator of technological innovation: A review, Science and Public Policy, Vol. 19, No. 6, pp. 357-368.
AUDRETSCH D.B., KEILBACH M. 2011. Knowledge spillover entrepreneurship, innovation and economic growth. In AUDRETSCH D.B., ET AL. (Eds.) Handbook of Research on Innovation and Entrepreneurship, Cheltenham: Edward Elgar, pp. 281-310. DOI: https://doi.org/10.4337/9781849807760.00024
AZAGRA-CARO J.M., CONSOLI D. 2016. Knowledge flows, the influence of national R&D structure and the moderating role of public-private cooperation, The Journal of Technology Transfer, Vol. 41, No. 1, pp. 152-172. DOI: https://doi.org/10.1007/s10961-014-9382-7
BARRA C., ZOTTI R. 2018. The contribution of university, private and public sector resources to Italian regional innovation system (in)efficiency, The Journal of Technology Transfer, Vol. 43, pp. 432-457. DOI: https://doi.org/10.1007/s10961-016-9539-7
BELLUCCI A., PENNACCHIO L. 2015. University knowledge and firm innovation: Evidence from European countries, Journal of Technology Transfer, Vol. 40, No. 6, pp. 795-815.
BILBAO-OSORIO B., RODRÍGUEZ-POSE A. 2004. From R&D to innovation and economic growth in the EU, Growth and Change, Vol. 35, No. 4, pp. 434-455. DOI: https://doi.org/10.1111/j.1468-2257.2004.00256.x
BONTEMPI M. E., LAMBERTINI L., PARIGI B. M. 2024. Exploring the innovative effort: duration models and heterogeneity, Eurasian Business Review, Vol. 14, No. 13, pp. 587-656. DOI: https://doi.org/10.1007/s40821-024-00272-9
BOTTAZZI L., PERI G. 2003. Innovation and spillovers in regions: Evidence from European patent data, European Economic Review, Vol. 47, No. 4, pp. 687-710. DOI: https://doi.org/10.1016/S0014-2921(02)00307-0
BUESA M., HEIJS J., PELLITERO M.M., BAUMERT T. 2006. Regional Systems of Innovation and the Knowledge Production Function: The Spanish Case, Technovation, Vol. 26, No. 4, pp. 463-472. DOI: https://doi.org/10.1016/j.technovation.2004.11.007
BUGAMELLI M., LOTTI F., AMICI M., ET AL. 2018. Productivity growth in Italy: A tale of a slow-motion change. Bank of Italy Occasional Papers, No. 422. DOI: https://doi.org/10.2139/ssrn.3128850
CARAYANNIS E.G., CAMPBELL D.F.J. 2009. ‘Mode 3’ and ‘Quadruple Helix’:Toward a 21st-century fractal-innovation ecosystem, International Journal of Technology Management, Vol. 46, No. 3-4, pp. 201-234. DOI: https://doi.org/10.1504/IJTM.2009.023374
DE RASSENFOSSE G., DERNIS H., GUELLEC D., PICCI L., ET AL. 2013. The worldwide count of priority patents: A new indicator of inventive activity, Research Policy, Vol. 42, No. 3, pp. 720-737. DOI: https://doi.org/10.1016/j.respol.2012.11.002
DICKEY D.A., FULLER W.A. 1979. Distributions of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, Vol. 74, No. 366, pp. 427–431. DOI: https://doi.org/10.1080/01621459.1979.10482531
DICKEY D.A., FULLER W.A. 1981. Likelihood ratio statistics for autoregressive time series with a unit root, Econometrica, Vol. 49, No. 4, pp. 1057–1072. DOI: https://doi.org/10.2307/1912517
EDQUIST C. 2011. Design of innovation policy through diagnostic analysis: Identification of systemic problems (or failures), Industrial and Corporate Change, Vol. 20, No. 6, pp. 1725–1753. DOI: https://doi.org/10.1093/icc/dtr060
EPO. 2024. Annual Review 2024. European Patent Office.
ETZKOWITZ H. 2003. Research groups as quasi-firms: The invention of the entrepreneurial university, Research Policy, Vol. 32, No. 1, pp. 109-121. DOI: https://doi.org/10.1016/S0048-7333(02)00009-4
EVANGELISTA R., VEZZANI A. 2010. The economic impact of technological and organizational innovations, Research Policy, Vol. 39, No. 8, pp. 1198-1208. DOI: https://doi.org/10.1016/j.respol.2010.08.004
FRITSCH M., FRANKE G. 2004. Innovation, regional knowledge spillovers and R&D cooperation, Research Policy, Vol. 33, No. 2, pp. 245–255. DOI: https://doi.org/10.1016/S0048-7333(03)00123-9
FURMAN J.L., HAYES R. 2004. Catching up or standing still? National innovative productivity among ‘follower’ countries, 1978-1999, Research Policy, Vol. 33, No. 9, pp. 1329-1354. DOI: https://doi.org/10.1016/j.respol.2004.09.006
GIURI P., MARIANI M., BRUSONI S., ET AL. 2007. Inventors and invention processes in Europe: Results from the PatVal-EU survey, Research Policy, Vol. 36, No. 8, pp. 1107–1127. DOI: https://doi.org/10.1016/j.respol.2007.07.008
GRILICHES Z. 1990. Patent statistics as economic indicators: A survey, Journal of Economic Literature, Vol. 28, No. 4, pp. 1661-1707. DOI: https://doi.org/10.3386/w3301
GRILICHES Z. 1998. Patent statistics as economic indicators: a survey. In R&D and productivity: the econometric evidence (pp. 287-343). University of Chicago Press.
GROSSMAN G.M., HELPMAN E. 1991. Quality ladders in the theory of growth, The Review of Economic Studies, Vol. 58, No. 1, pp. 43–61. DOI: https://doi.org/10.2307/2298044
GUERRERO M., CUNNINGHAM J., URBANO D. 2015. Economic impact of entrepreneurial universities’ activities: An exploratory study of the United Kingdom, Research Policy, Vol. 44, No. 3, pp. 748-764. DOI: https://doi.org/10.1016/j.respol.2014.10.008
HALL B. H., GRILICHES Z., HAUSMAN J. A. 1984. Patents and R&D: Is there a lag?, National Bureau of Economic Research, NBER Working Paper, No. 1454. DOI: https://doi.org/10.3386/w1454
HALL B.H., HARHOFF D. 2012. Recent research on the economics of patents, Annual Review of Economics, Vol. 4, pp. 541-565. DOI: https://doi.org/10.1146/annurev-economics-080511-111008
HERB W., LOTZE M., SCHULTZE, W., ET AL. 2025. Real effects of capitalized research and development expenditures: A leading indicator for future innovation performance?, Review of Quantitative Finance and Accounting, Vol. 64, pp. 417-473 DOI: https://doi.org/10.1007/s11156-024-01310-3
IM K.S., PESARAN H., SHIN Y. 2003. Testing for unit roots in heterogeneous panels, Journal of Econometrics, Vol. 115, pp. 53-74. DOI: https://doi.org/10.1016/S0304-4076(03)00092-7
ISLAM M.R. 2009. R&D intensity, technology transfer and absorptive capacity. Working Papers 13-09, Monash University, Department of Economics.
JONES C.I. 1995. R&D-based models of economic growth, Journal of Political Economy, Vol. 103, No. 4, pp. 759-784. DOI: https://doi.org/10.1086/262002
KIM Y.K., LEE K., PARK W.G., CHOO K. 2012. Appropriate intellectual property protection and economic growth, Research Policy, Vol. 41, No. 2, pp. 358-375. DOI: https://doi.org/10.1016/j.respol.2011.09.003
LEOGRANDE A. 2024. The Propensity for Patenting in the Italian Regions, MPRA Paper 120553, University Library of Munich, Germany. DOI: https://doi.org/10.31235/osf.io/p4exf
LOTTI F., SCHIVARDI F. 2005. Cross-country differences in patent propensity: A firm-level investigation, Giornale degli Economisti e Annali di Economia, Bocconi University, Vol. 64, No. 4, pp. 469-502.
LUCAS R.E. 1988. On the mechanics of economic development, Journal of Monetary Economics, Vol. 22, No. 1, pp. 3-42. DOI: https://doi.org/10.1016/0304-3932(88)90168-7
MALERBA F., NELSON R., ORSENIGO L., WINTER S.G. 1999. ‘History-friendly’ models of industry evolution: The computer industry, Industrial and Corporate Change, Vol. 8, No. 1, pp. 3-40. DOI: https://doi.org/10.1093/icc/8.1.3
NEWEY W.K., WEST K.D. 1994. Automatic lag selection in covariance matrix estimation, Review of Economic Studies, Vol. 61, No. 4, pp. 631–654. DOI: https://doi.org/10.2307/2297912
OECD.2007. Innovation and growth: Rationale for an innovation strategy. pp. 3-29.
PEGKAS P., STAIKOURAS C., TSAMADIAS C. 2020. Does research and development expenditure impact innovation? Evidence from the European Union countries, Journal of Policy Modeling, Vol. 42, No. 5, pp. 1041–1055. DOI: https://doi.org/10.1016/j.jpolmod.2019.07.001
PERKMANN M., TARTARI V., MCKELVEY M., ET AL. 2013. Academic engagement and commercialisation: A review of the literature on university–industry relations, Research Policy, Vol. 42, No. 2, pp. 423-442. DOI: https://doi.org/10.1016/j.respol.2012.09.007
PESARAN M.H., SHIN Y., SMITH R.P. 1999. Pooled Mean Group Estimation of Dynamic Heterogeneous Panels, Journal of the American Statistical Association, Vol. 94, No. 446, pp. 621–634. DOI: https://doi.org/10.1080/01621459.1999.10474156
PHILLIPS P.C., PERRON P. 1988. Testing for a unit root in time series regression, Biometrika, Vol. 75, pp. 335-346. DOI: https://doi.org/10.1093/biomet/75.2.335
PORTER M.E., STERN S. 2000. Measuring the ‘ideas’ production function: Evidence from international patent output, International Journal of Technology Management, Vol. 20, No. 5-8, pp. 460-484. DOI: https://doi.org/10.3386/w7891
ROMER P.M. 1986. Increasing returns and long-run growth, Journal of Political Economy, Vol. 94, No. 5, pp. 1002-1037. DOI: https://doi.org/10.1086/261420
ROMER P.M. 1990. Endogenous technical change, Journal of Political Economy, Vol. 98, No. 5, Part 2, pp. S71-S102. DOI: https://doi.org/10.1086/261725
RUSCIANO R. 2024. The strategic role of the third mission in universities: a concrete case study, European Scientific Journal, Vol. 20, No. 16, pp. 1–12. DOI: https://doi.org/10.19044/esj.2024.v20n16p1
STERLACCHINI A. 2008. R&D, higher education and regional growth: Uneven linkages among European regions, Research Policy, Vol. 37, No. 6-7, pp. 1096-1107. DOI: https://doi.org/10.1016/j.respol.2008.04.009
WANG E., HAGEDOORN J. 2014. The lag structure of the relationship between patenting and R&D, Research Policy, Vol. 43, No. 8, pp. 1275–1285. DOI: https://doi.org/10.1016/j.respol.2014.03.010
WEI Y., LIU X., SONG M., ROMILLY P. 2001. Endogenous innovation growth theory and regional income convergence in China, Journal of International Development, Vol. 13, No. 2, pp. 153-168. DOI: https://doi.org/10.1002/jid.721
WESTERLUND J. 2007. Testing for error correction in panel data, Oxford Bulletin of Economics and Statistics, Vol. 69, No. 6, pp. 709–748. DOI: https://doi.org/10.1111/j.1468-0084.2007.00477.x
WOLSZCZAK-DERLACZ J. 2025. The determinants of European universities patenting and co-patenting with companies, The Journal of Technology Transfer, Vol. 50, pp. 620-636. DOI: https://doi.org/10.1007/s10961-024-10112-7
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Andrea Ciccarelli, Audrey De Dominicis, Greta Torquati

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

