IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v186y2023ipbs0040162522005947.html
   My bibliography  Save this article

Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19

Author

Listed:
  • Mitze, Timo
  • Makkonen, Teemu

Abstract

The COVID-19 pandemic and subsequent public health restrictions led to a significant slump in economic activities around the globe. This slump has been met by various policy actions to cushion the detrimental socio-economic consequences of the COVID-19 crisis and eventually bring the economy back on track. We provide an ex-ante evaluation of the effectiveness of a massive expansion of RDI funding in Finland to stimulate post-crisis recovery growth through an increase in RDI activities of Finnish firms. We make use of the fact that novel RDI grants for firms in disruptive circumstances granted in 2020 were allocated through established RDI policy channels. This allows us to estimate the structural link between RDI funding and economic growth for Finnish NUTS-3 regions based on pre-COVID-19 data. Estimates are then used to predict regional recovery growth out of sample and to quantify the growth contribution of RDI funding. Depending on the chosen scenario, our out-of-sample predictions point to a mean recovery growth rate of GDP between ~2–4 % in 2021 after a decline of up to −2.5 % in 2020. RDI funding constitutes a significant pillar of the recovery process with mean contributions in terms of GDP growth of between 0.4 and 1 %-points.

Suggested Citation

  • Mitze, Timo & Makkonen, Teemu, 2023. "Can large-scale RDI funding stimulate post-crisis recovery growth? Evidence for Finland during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  • Handle: RePEc:eee:tefoso:v:186:y:2023:i:pb:s0040162522005947
    DOI: 10.1016/j.techfore.2022.122073
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522005947
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.122073?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Czarnitzki, Dirk & Lopes-Bento, Cindy, 2013. "Value for money? New microeconometric evidence on public R&D grants in Flanders," Research Policy, Elsevier, vol. 42(1), pages 76-89.
    2. Makkonen, Teemu, 2013. "Government science and technology budgets in times of crisis," Research Policy, Elsevier, vol. 42(3), pages 817-822.
    3. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    4. Andrés Rodríguez-Pose & Edna M. Villarreal Peralta, 2015. "Innovation and Regional Growth in Mexico: 2000–2010," Growth and Change, Wiley Blackwell, vol. 46(2), pages 172-195, June.
    5. Hud, Martin & Hussinger, Katrin, 2015. "The impact of R&D subsidies during the crisis," Research Policy, Elsevier, vol. 44(10), pages 1844-1855.
    6. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    7. Alexander Chudik & M. Hashem Pesaran & Elisa Tosetti, 2011. "Weak and strong cross‐section dependence and estimation of large panels," Econometrics Journal, Royal Economic Society, vol. 14(1), pages 45-90, February.
    8. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    9. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    10. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    11. Beom Cheol Cin & Young Jun Kim & Nicholas S. Vonortas, 2017. "The impact of public R&D subsidy on small firm productivity: evidence from Korean SMEs," Small Business Economics, Springer, vol. 48(2), pages 345-360, February.
    12. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    13. Lehmann Robert & Wohlrabe Klaus, 2015. "Forecasting GDP at the Regional Level with Many Predictors," German Economic Review, De Gruyter, vol. 16(2), pages 226-254, May.
    14. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2014. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 112-138, February.
    15. Albert N. Link & John T. Scott, 2013. "Public R&D subsidies, outside private support, and employment growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(6), pages 537-550, September.
    16. Elise Ramstad, 2009. "Expanding innovation system and policy – an organisational perspective," Policy Studies, Taylor & Francis Journals, vol. 30(5), pages 533-553.
    17. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    18. Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2013. "Estimating the Benefits of Targeted R&D Subsidies," The Review of Economics and Statistics, MIT Press, vol. 95(1), pages 255-272, March.
    19. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    20. Pellens, Maikel & Peters, Bettina & Hud, Martin & Rammer, Christian & Licht, Georg, 2018. "Public investment in R&D in reaction to economic crises: A longitudinal study for OECD countries," ZEW Discussion Papers 18-005, ZEW - Leibniz Centre for European Economic Research.
    21. Mika Haapanen & Helena Lenihan & Anu Tokila, 2017. "Innovation Expectations and Patenting in Private and Public R&D Projects," Growth and Change, Wiley Blackwell, vol. 48(4), pages 744-768, December.
    22. Ascensión Barajas & Elena Huergo & Lourdes Moreno, 2021. "The role of public loans in financing business R&D through the economic cycle," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 505-538, July.
    23. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    24. Boeing, Philipp & Eberle, Jonathan & Howell, Anthony, 2022. "The impact of China's R&D subsidies on R&D investment, technological upgrading and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    25. Naqeeb Ur Rehman & Eglantina Hysa & Xuxin Mao, 2020. "Does public R&D complement or crowd-out private R&D in pre and post economic crisis of 2008?," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 349-371, January.
    26. Sari Pekkala, 2000. "Aggregate economic fluctuations and regional convergence: the Finnish case 1988-95," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 211-219.
    27. Reinhilde Veugelers, 2021. "Research and innovation policies and productivity growth," Working Papers 42620, Bruegel.
    28. Oughton, Christine & Landabaso, Mikel & Morgan, Kevin, 2002. "The Regional Innovation Paradox: Innovation Policy and Industrial Policy," The Journal of Technology Transfer, Springer, vol. 27(1), pages 97-110, January.
    29. Dirk Czarnitzki & Katrin Hussinger, 2018. "Input and output additionality of R&D subsidies," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1324-1341, March.
    30. Jerry Coakley & Ana-Maria Fuertes & Ron Smith, 2002. "A Principal Components Approach to Cross-Section Dependence in Panels," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-3, International Conferences on Panel Data.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    2. Dong-Hyeon Kim & Shu-Chin Lin, 2017. "Natural Resources and Economic Development: New Panel Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 363-391, February.
    3. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    4. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    5. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    6. Bartosz Jóźwik & Antonina-Victoria Gavryshkiv & Kinga Galewska, 2022. "Do Urbanization and Energy Consumption Change the Role in Environmental Degradation in the European Union Countries?," Energies, MDPI, vol. 15(17), pages 1-14, September.
    7. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LP, vol. 12(1), pages 61-71, March.
    8. Lazăr, Dorina & Minea, Alexandru & Purcel, Alexandra-Anca, 2019. "Pollution and economic growth: Evidence from Central and Eastern European countries," Energy Economics, Elsevier, vol. 81(C), pages 1121-1131.
    9. Alper Aslan & Ebru Topcu, 2018. "The Relationship between Export and Growth: Panel Data Evidence from Turkish Sectors," Economies, MDPI, vol. 6(2), pages 1-15, April.
    10. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    11. Blaise Gnimassoun & Valérie Mignon, 2015. "Persistence of Current-account Disequilibria and Real Exchange-rate Misalignments," Review of International Economics, Wiley Blackwell, vol. 23(1), pages 137-159, February.
    12. Adel Ben Youssef & Sabri Boubaker & Anis Omri, 2020. "Financial development and macroeconomic sustainability: modeling based on a modified environmental Kuznets curve," Climatic Change, Springer, vol. 163(2), pages 767-785, November.
    13. Alsamara, Mouyad & Mrabet, Zouhair & Dombrecht, Michel, 2018. "Asymmetric import cost pass-through in GCC countries: Evidence from nonlinear panel analysis," Economic Modelling, Elsevier, vol. 75(C), pages 432-440.
    14. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    15. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, 02.

    More about this item

    Keywords

    GDP forecasts; Regional growth; RDI funding; Post-crisis recovery; COVID-19; Finland;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:186:y:2023:i:pb:s0040162522005947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.