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Do EU Funds boost productivity and employment?: Firm level analysis for Latvia

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  • Konstantins Benkovskis

    (OECD)

  • Olegs Tkacevs

    (OECD)

  • Naomitsu Yashiro

    (OECD)

Abstract

This paper investigates the effects of spending the European Regional Development Fund (ERDF) on productivity, employment and other performance indicators of Latvian firms. After controlling for the fact that more productive and larger firms are more likely to benefit from ERDF resources, we find that participation in projects co-financed by the ERDF increases firms’ employment, turnover and capital stock per employee immediately, while it raises their productivity only three years after the launch of such projects. Furthermore, participants that were initially less productive, larger, less capital intensive and more financially leveraged enjoy larger productivity gains. Also, financing capital investment through the ERDF does not result in any productivity gains compared to the case when it is financed through private funding. However, it results in a larger increase in employment, which is possibly partly due to the firm’s plan to increase employment being one of important criteria for selecting the ERDF beneficiaries.

Suggested Citation

  • Konstantins Benkovskis & Olegs Tkacevs & Naomitsu Yashiro, 2018. "Do EU Funds boost productivity and employment?: Firm level analysis for Latvia," OECD Economics Department Working Papers 1525, OECD Publishing.
  • Handle: RePEc:oec:ecoaaa:1525-en
    DOI: 10.1787/98e0a368-en
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    Cited by:

    1. Oleg Sidorkin & Martin Srholec, 2022. "Do Direct Subsidies Stimulate New R&D Outputs in Firms? Evidence from the Czech Republic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2203-2229, September.
    2. Yuzuka Kashiwagi & Yasuyuki Todo, 2021. "Propagation Of Positive Effects Of Post‐Disaster Policies Through Supply Chains," Contemporary Economic Policy, Western Economic Association International, vol. 39(2), pages 348-364, April.
    3. Konstantins Benkovskis & Jaan Masso & Olegs Tkacevs & Priit Vahter & Naomitsu Yashiro, 2020. "Export and productivity in global value chains: comparative evidence from Latvia and Estonia," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 557-577, August.
    4. Konstantins Benkovskis & Peter Jarrett & Ze'ev Krill & Olegs Tkacevs & Naomitsu Yashiro, 2022. "The Survival of Latvian Products and Firms in Export Markets," Working Papers 2022/02, Latvijas Banka.
    5. Giuseppe Albanese & Guido de Blasio & Andrea Locatelli, 2021. "Does EU regional policy promote local TFP growth? Evidence from the Italian Mezzogiorno," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 327-348, April.
    6. Julia Bachtrögler-Unger & Harald Oberhofer, 2018. "Euroscepticism and EU Cohesion Policy: The Impact of Micro-Level Policy Effectiveness on Voting Behaviour," WIFO Working Papers 567, WIFO.
    7. Loredana Fattorini & Mahdi Ghodsi & Armando Rungi, 2020. "Cohesion Policy Meets Heterogeneous Firms," Journal of Common Market Studies, Wiley Blackwell, vol. 58(4), pages 803-817, July.
    8. Maximilian v. Ehrlich & Henry G. Overman, 2020. "Place-Based Policies and Spatial Disparities across European Cities," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 128-149, Summer.
    9. Mesquita, José & Pereira dos Santos, João & Tavares, José, 2023. "European Funds and Firm Performance: Evidence from a Natural Experiment," IZA Discussion Papers 16526, Institute of Labor Economics (IZA).
    10. Domagoj Selebaj & Matej Bule, 2021. "Effects of grants from EU funds on business performance of non-financial corporations in Croatia," Public Sector Economics, Institute of Public Finance, vol. 45(2), pages 177-207.

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    More about this item

    Keywords

    EU funds; firm-level data; productivity; propensity score matching;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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