1. Nina Drejerska Mariola Chrzanowska Employment diversification strategies in rural areas across Polish regions

2. Introduction (1) Rural-urban typology of the Polish NUTS 3 regions France, Germany, Poland, Italy and Romania with the largest populations in predominantly rural regions

3. Introduction (2) In Poland, on average 38% of inhabitants of predominantly rural areas were employed in agriculture, forestry and fishing (2013) Employment varies regionally: 8% in the Silesia 45% in the Lubelskie Employment strategies Situation on the labour market in agriculture

4. Research (1) basic question - to find if Polish small (NUTS 3) regions can be divided into clusters of similar employment strategies in rural areas ; EU typology of: predominantly rural, intermediate, and predominantly urban; structure of employment (total, male and female): agriculture, forestry and fishing, industry and construction, trade and services (trade; repair of motor vehicles; transportation and storage; accommodation and catering; information and communication).

5. Research (2) - spatial autocorrelation global Moran’s statistic – statistically important for employment structure (total, male and female) Local Moran’s statistic to detect clusters of regions with similar employment strategies

6. Fig. 2 Employment in agriculture, forestry and fishing Total Male Female - local Moran’s statistics

7. Fig. 3 Employment in industry and construction Total - local Moran’s statistics Male Female

8. Fig. 4 Employment in trade and services Total - local Moran’s statistics Female Male

9. Conclusions A cluster of predominantly rural regions in south-eastern Poland where employment in : agriculture, forestry and fishing is a relatively significant trend; industry and construction as well as trade and services is not so important. Clusters of regions in the west-southern Poland where employment in industry and construction is a significant as an employment strategy. Identification of such employment strategies in rural areas can contribute for example to planning education facilities or instruments of regional labour market policy – for future investigations

10. Nina Drejerska, PhD, Assistant Professor Faculty of Economic Sciences WULS-SGGW nina_drejerska@sggw.pl Mariola Chrzanowska, PhD, Assistant Professor Faculty of Applied Informatics and Mathematics mariola_chrzanowska@sggw.pl Thank you