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Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm

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  • Federico Biagi
  • Daniele Bondonio
  • Alberto Martini

Abstract

The purpose of this paper is to offer empirical evidence on the impact generated by investment subsidies awarded to industrial firms on employment, sales, investments and labor productivity. The analysis is based on unique firm-level administrative data provided by the Italian National Statistical Agency on the universe of both treated- and non-treated applicant firms. For employment and sales outcomes such data derive directly from the National Social Security Agency of Italy and from the Internal Revenue Service Agency. The paper focuses on a decade (2000-2009) of subsidies awarded by a large-scale national Italian programme co-funded by the European Regional Development Fund and by the universe of smaller regional programmes available to all SMEs in the Northwestern Italian region (Piedmont). The analysis produces differential impacts based on different levels of the economic value of the incentives, different types of incentives (distinguishing between non-repayable grants, ?soft-loans? and ?interest rate grants?), different sizes and geographic location of the assisted firms. For the large scale national programme, the analysis exploit the existence of a natural experiment in the form of the existence of viable applicant firms that were denied the subsidy due to an exogenous, budget induced, cut-off point in the programme rankings of each wave of regional calls for applications. Impact estimates are then retrieved with a discontinuity designed within a difference in difference scheme that ensures exact matching of crucial firm characteristics. For the regional programmes, the analysis is implemented with a conditional difference in difference model that pre-processes the data based on a propensity score estimate to ensure common support between treated and non-treated firms. The results of our analysis show that: -Large non-repayable grants, particularly when given to large firms (and in underdeveloped regions), represent an ineffective way to stimulate additional private investment and to improve the performance of the subsidized firms; -Small grants given to small firms (not in the context of severely distressed socio-economic areas) have small impacts, but when all the dimensions are taken into account, they are more cost-effective; - Non-repayable grants are outperformed by repayable soft loans and interest rate subsidies as most effective tools for assistance; -For SMEs, soft-loans and interest rate grants are the most cost-effective form of support.

Suggested Citation

  • Federico Biagi & Daniele Bondonio & Alberto Martini, 2015. "Counterfactual Impact Evaluation of Enterprise Support Programmes. Evidence from a Decade of Subsidies to Italian Firm," ERSA conference papers ersa15p1619, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa15p1619
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    References listed on IDEAS

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    Cited by:

    1. Corinne Autant-Bernard & Ruben Fotso & Nadine Massard, 2022. "Evaluating the impact of public policies on large firms: a synthetic control approach to science-industry transfer policies," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 9-50.
    2. Peter Mayerhofer, 2016. "Unternehmensinvestitionen in den österreichischen Bundesländern. Entwicklung – Struktur – Funktion regionaler Förderung," WIFO Studies, WIFO, number 58936, August.
    3. Stjepan Srhoj & Michal Lapinski & Janette Walde, 2021. "Impact evaluation of business development grants on SME performance," Small Business Economics, Springer, vol. 57(3), pages 1285-1301, October.
    4. Banai, Ádám & Lang, Péter & Nagy, Gábor & Stancsics, Martin, 2020. "Waste of money or growth opportunity: The causal effect of EU subsidies on Hungarian SMEs," Economic Systems, Elsevier, vol. 44(1).
    5. Dvouletý Ondřej & Čadil Jan & Mirošník Karel, 2019. "Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    6. Stjepan Srhoj & Michael Lapinski & Janette Walde, 2019. "Size matters? Impact evaluation of business development grants on SME performance," Working Papers 2019-14, Faculty of Economics and Statistics, Universität Innsbruck.
    7. Ondřej Dvouletý, 2017. "Effects of Soft Loans and Credit Guarantees on Performance of Supported Firms: Evidence from the Czech Public Programme START," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    8. Cerqua, Augusto & Pellegrini, Guido, 2022. "Decomposing the employment effects of investment subsidies," Journal of Urban Economics, Elsevier, vol. 128(C).

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    More about this item

    Keywords

    Counterfactual impact evaluation; enterprise support; capital grants; soft loans;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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