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Example from enterprise support in Poland

Rafał Trzciński. Example from enterprise support in Poland. Impact Evaluation Seminar Warsaw, 12.12.2011. Purpose of the evaluation. Estimation of the impact of grants on growth of SMEs in Poland.

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Example from enterprise support in Poland

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  1. Rafał Trzciński Example from enterprise support in Poland Impact Evaluation Seminar Warsaw, 12.12.2011

  2. Purpose of the evaluation • Estimation of the impact of grants on growth of SMEs in Poland. • Measure covered by the study:Improvementof competitiveness of SMEs through investments (Measure 2.3) implementedwithinSectoral Operational Programme Improvement of the Competitiveness of Enterprises, years 2004-2006 (SOP-ICE). • Measure 2.3 was aimed at improvement of competitiveness of Polish SMEs throughmodernisation of their product offer and their technologybase. • Average value of the subsidy amounted to PLN 532 thousand.

  3. SELECTION BIAS Impact evaluation problem Factor x1 Effects ? Factorx2 SOP-ICE Problem: lowcompetitivenessof enterprises

  4. The approach • Counterfactual framework -> Q: what would have happened in the absence of the intervention? • Quasi-experimental approach was chosen. • Control group was selected from unsuccessful applicants. • Method used to reduce the selection bias: Propensity Score Matching.

  5. Data sets used in the evaluation • PARP data sets (databases of all applicants, with employment +9); • 19 covariates were controlled, such as: age, revenues, size, legal form, assets, the use of other subsidies, etc. • Central Statistical Office data sets (Report on revenues, costs and financial results and the cost of fixed assets); • 31 outcome variables were estimated, such as: net revenues from sales, employment, expenditures, profits, etc.

  6. Propensity Score Matching (1-1; nearest neighbour) Control group Beneficiaries Unsuccessful applicants ps= 0,8 ps= 0,1 ps= 0,5 ps= 0,4 ps= 0,9 ps= 0,6 ps= 0,2 ps= 0,1 ps= 0,3 ps= 0,2 ps= 0,01 ps= 0,8 ps= 0,3 ps= 0,9 ps= 0,4

  7. Selection bias

  8. Date of measurement

  9. Employment and wages costs Impact: +14 FTEs Impact: +PLN 511thousand

  10. Net revenues from sales Impact: +PLN 5 211 thousand

  11. Operating expenses Impact: +PLN 5 006 thousand

  12. Losses – scale of the phenomenon Impact: +3,3% Impact: zero

  13. Losses Impact: +PLN 360 thousand Impact: +PLN 3 335 thousand

  14. Profits Impact: +PLN 412 thousand Impact: +PLN 248 thousand

  15. Asset Turnover Impact: -0,10

  16. Total expenditures on tangible fixed assets in use Impact: +PLN 434 thousand Impact: +PLN 395 thousand

  17. Liabilities Impact: +PLN 458 thousand Impact: +PLN 372 thousand

  18. Export Impact: +PLN 1 479 thousand Impact: -PLN 753 thousand

  19. Value of purchases in total imports Impact: +PLN 1 307 thousand

  20. Structure of imports Impact: +PLN 1 158 thousand Impact: -PLN 109 thousand

  21. Current ratio Impact: -0,07

  22. Summary • Main positive impacts: • Employment and wages. • Export and import (production activity). • Profits. • Expenditures on tangible fixed assets in use (machinery and technical equipment). • Main negative impacts, or no impact: • Productivity of the enterprises. • Losses and their amount. • Liquidity of the enterprises.

  23. More on this… www.parp.gov.pl/index/more/24238

  24. Thank you for your attention! • Polish Agency for Enterprise Development • 81/83 Pańska Street • 00-834 Warsaw, Poland • Tel + 48 (22) 432 80 80 • Fax + 48 (22) 432 86 20 • + 48 (22) 432 84 04 • Infoline: + 48 (22) 432 89 91/92/93 • www.parp.gov.pl

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