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The Swedish Business Development Program – Evaluation and some methodological and practical notes

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  • Jonas MÃ¥nsson
  • Barbro Widerstedt

Abstract

In this study we evaluate a special form of business support – support to cover costs associated with business counselling. The policy question is whether firms that receive this support within the Regional Business Development programme have a positive outcome compared with firms that do not receive the support. However, the study also addresses some methodological issues based on the fact that impact evaluations of different kind of business support in general suffer from a number of methodological problems. A first problem relates to the fact that firms have a different and more complicated heterogeneity than is the case in e.g. labour market policy evaluations. This raises the question on how firms in the comparison group should be selected. Since the selection process is not known in most cases of business support, we use a stratified matching approach that allows matching in several dimensions. A second problem is that there are many 'actors' on the state support market. This means that in absence of full information about other support givers we may end up in a situation where the firms in the comparisons group have received a similar support from another support provider, and is, in effect, treated. In the most extreme case the treated firms are compared with firms that have received exactly the same type of support from another provider. This problem is referrers to as contaminated data. A final problem is that business support is often a ‘two stage’ process where firms has to apply for funding, and an administrative organisation decide if the application is granted. This gives raise to two types of selection; self–selection (whether to apply) and administrative selection (getting funding). In the final analysis we address the issue of selection. The results of our evaluation points some important facts: If we include selection and allow contaminated data business counselling give positive impacts on value added, growth in investments and employment and a more efficient production. Not allowing for contamination in the data reveals a positive, however, smaller impacts on value added and investments a slightly larger impact on employment. Finally, if we restrict the data so that self–selection is deleted we find no significant impacts. A preliminary conclusion from the analysis is that it is the fact that firms set time aside to formulate e.g. investments strategies, problems etc. that generate impacts rather than the support itself.

Suggested Citation

  • Jonas MÃ¥nsson & Barbro Widerstedt, 2012. "The Swedish Business Development Program – Evaluation and some methodological and practical notes," ERSA conference papers ersa12p858, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa12p858
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    References listed on IDEAS

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    1. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    2. Chrisman, James J., 1989. "Strategic, administrative, and operating assistance: The value of outside consulting to pre-venture entrepreneurs," Journal of Business Venturing, Elsevier, vol. 4(6), pages 401-418, November.
    3. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    4. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    5. James J. Chrisman & John Leslie, 1989. "Strategic, Administrative, and Operating Problems: The Impact of Outsiders on Small Firm Performance," Entrepreneurship Theory and Practice, , vol. 13(3), pages 37-52, April.
    6. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    7. Kevin Mole & Mark Hart & Stephen Roper & David Saal, 2008. "Differential Gains from Business Link Support and Advice: A Treatment Effects Approach," Environment and Planning C, , vol. 26(2), pages 315-334, April.
    8. Chrisman, James J. & Hoy, Frank & Robinson, Richard Jr., 1987. "New venture development: The costs and benefits of public sector assistance," Journal of Business Venturing, Elsevier, vol. 2(4), pages 315-328.
    9. Marcus Box, 2008. "The death of firms: exploring the effects of environment and birth cohort on firm survival in Sweden," Small Business Economics, Springer, vol. 31(4), pages 379-393, December.
    10. Colin Wren, 2002. "Evaluating the effect of soft business support upon small firm performance," Oxford Economic Papers, Oxford University Press, vol. 54(2), pages 334-365, April.
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