1. Impact of the cohesion policy on the level and quality of employment in Poland Project co-financed from financial means of the European Union within the Operational Programme Technical Assistance

2. General objective Analysis and assessment of the impact of interventions co-financed from the European Union structural funds within the cohesion policy on the level and quality of employment with regard to requirements of a knowledge-based economy.

3. Counting jobs Jobless who obtained employment as a result of an intervention – number of beneficiaries that have found employment within some time after the completion of the intervention. Jobs created – new jobs that are created by Structural Fund intervention within three years of the completion of works. These may be temporary or permanent. Jobs maintained – existing jobs that are at risk and would be lost without Structural Fund intervention. Employees who increased their qualifications as a result of an intervention (“number of improved jobs”) – people that benefited from the interventions and upgrades their qualifications leading to better quality of jobs they undertake.

4. Geographical coverage Research is a part of an international project which will be implemented in four states of the Visegrad Group:  the Czech Republic  Poland  Slovakia  Hungary

5. Overall research approach Top-down – analyzing macroeconomic data (mainly public statistics and LFS data) and applying econometric methods Bottom-up – analyzing detailed data obtained from beneficiaries of EU funds and properly selected control groups as well as monitoring data

6. Top down approach Includes all interventions co-financed from the financial means of the European Social Fund, European Regional Development Fund and Cohesion Fund within operational programmes provided in the National Development Plan for 2004-2006. The analysis will cover expenditures incurred as of 31 December 2008 on the basis of data from the annual reports.

7. Top-down approach – data source:  EFS, ERDF, Cohesion Fund expeditures (as of 31 Dec 2008)  The Labour Force Survey (LFS)  Results of macro-models applied in Poland: HERMIN, MaMoR3 (computable general equilibrium model, CGE) EUImpactModII (dynamic stochastic general equilibrium, DSGE)

8. Bottom-up approach Includes only selected interventions targeted at:  enterprises (ERDF) – code of intervention:152, 161, 162, 163, 321, 322, 324  education and trainings of employees (ESF) – code of intervention 24  education and trainings of jobless (ESF) – code of intervention 21

9. Bottom-up approach - methodology  Primary data: CAPI survey of entrepreneurs: 700 interviews with entrepreneurs who benefited from ERDF 700 interviews with entrepreneurs who did not benefit from Structural Funds 150 interviews with entrepreneurs who unsuccessfully applied for EU support CATI survey of employees who participated in a training financed from ESF PSM (support for jobless) 96 public employment services – PULS databases in district (powiat) job centres Case studies (best practice) Expert panel  Secondary data: The evaluation reports already available The annual reports Follow-up surveys of Programme leavers

10. Jobless who obtained employment as a result of an intervention (gross effect) SOP HRD (ESF) code of intervention: 21, 22, 25 Number of beneficiaries that have found employment within 6 months after the completion of the intervention [206 406-234 586] [190 010-210 296] Total [405 149-440 742] Note: Data refer to survey of European Social Fund leavers and SOP HRD 2008 annual report

11. Employees who increased their qualifications as a result of an intervention SOP HRD (ESF) Code of intervention: 24 Improved jobs: People who use knowledge and qualifications acquired in EU funded projects in jobs they undertake. People who … after the EU funded project: – changed their position to higher or – their wage increased or – they received additional fringe benefits (company car, private health insurance, credit or loan etc.) or – their work conditions improved (better equipment, safety work improved)

12. Do you use knowledge aquired in the EU funded project in your job? * Significance 0.01

13. Change in working conditions (wage, position, non-wage benefits) * * * Significance 0,02-0.01

14. Impact of project on changes in working conditions (wage, position, fringe benefits)

15. Project co-financed from financial means of the European Union within the Operational Programme Technical Assistance