11/13/2018 Poverty and Deprivation in Central Europe: Concepts, Measurement and Application Frank (FH) Flinterman Faculty of Spatial Sciences University of Groningen The Netherlands

Introduction Personal background Structure of this presentation 11/13/2018 Introduction Personal background Structure of this presentation Background of this research

Main Research Question 11/13/2018 Main Research Question Central question: Which region-specific factors explain differences between multidimensional poverty risks of vulnerable groups in Central Europe?

Theoretical Framework 11/13/2018 Theoretical Framework

11/13/2018 Definitions Poverty: the inability to meet basic material needs (Financial poverty) Deprivation: the insufficient capabilities to meet basic needs. (Multidimensional poverty) A livelihood comprises the assets (natural, physical, human, financial and social capital), the activities, and the access to these (mediated by institutions and social relations) that together determine the living gained by the individual or household

11/13/2018 Data “The EU-SILC is an instrument aiming at collecting timely and comparable cross-sectional and longitudinal multidimensional micro data on income, poverty, social exclusion and living conditions. This instrument is anchored in the European Statistical System” 53,428 households 125,316 personal interviews

Operationalisation (1) 11/13/2018 Operationalisation (1) Poverty Deprivation State 1 non-poor non-deprived State 2 poor State 3 deprived State 4

Operationalisation (2) 11/13/2018 Operationalisation (2) Financial Housing Societal Health Subjective Income percentile Durables Education level General health Financial problems Arrears on payment Sanitation Employment situation Health problems Vulnerability Financial vulnerability Living conditions Mobility Unmet need Living environment Notes: Each category scores 1-5. The dimension score is a simple average of all categories

Equivalised household size 6,5 1,84 0,660 11/13/2018 N Min. Max. Mean Std. Dev. Household size 45053 1 14 2,84 1,493 Equivalised household size 6,5 1,84 0,660 Marital status household head (cat.) 45047 4 n.a. Household category (cat.) 11 Activity status household head (cat.) Number of children 1,10 1,512 Country of birth household head 45019 0,06 0,246 Urbanization degree 39314 3 2,10 0,914 Valid N 39302 Notes: No data on urbanization degree for Slovenia, (cat.) Categorical variable.

Share of elderly of total population 0.12 0.17 0.15 0.017 11/13/2018 N Min. Max. Mean Std. Dev. GDP per inhabitant 45053 4532.8 20512.9 8133.64 3191.448 Population density 31 2424.9 135.40 232.682 Share of elderly of total population 0.12 0.17 0.15 0.017 Unemployment rate 15 years and older 2.8 16.4 9.58 3.858 Share of university graduates of total population 0.06 0.25 0.16 0.047 Doctors per 1000 inhabitants 41296 189.3 666 264.22 66.727 Hospital beds per 1000 inhabitants 477.5 1071 666.26 119.939 Share of heavy metal industry of total manufacturing 0.07 0.34 0.13 0.046 Valid N Notes: No data on doctors per 1000 inhabitants and hospital beds per 1000 inhabitants for Lithuania.

Hierarchical analysis 11/13/2018 Hierarchical analysis (1) (2) (3) (4) (5) (6) (7)

11/13/2018 Hypotheses Households with many children, households with an inactive head and elderly households have a significantly lower well-being in comparison to their financial poverty state, because of restricted access to public services. Indicators of the quality of health and education services are expected to have a strong influence on the multidimensional poverty risk of the distinguished vulnerable groups, as these households suffer most from the low quality of and restricted access to public services.

11/13/2018   40% line 20% line Exp(B) Sig. Single male 1.084 0.428 1.216 0.056 Single female 1.203 0.046 1.373 0.000 Single parent with child(ren) 1.204 0.103 1.912 Couple w/o children 0.705 0.725 Couple with 1-2 child(ren) 0.588 0.672 Couple with 3+ children 0.799 0.085 0.997 0.981 Elderly couple 1.009 0.894 0.935 0.318 Single male elderly 0.806 0.066 0.855 0.147 Single female elderly 1.595 1.761 Other w/o children 0.860 0.032 0.827 0.010 Other with child(ren) 0 (b) - Born in country of residence Born in another country Employed 1.776 1.865 Unemployed 1.092 0.311 1.176 0.034 Retired 1.083 0.270 1.065 0.347 Inactive Densely populated 0.937 0.090 0.837 Intermediately populated 1.035 0.486 0.828 Thinly populated

11/13/2018   40% line 20% line Exp(B) Sig. Single male 0.945 0.494 1.456 0.000 Single female 1.013 0.873 1.229 0.016 Single parent with child(ren) 1.237 0.014 1.923 Couple w/o children 0.382 0.551 Couple with 1-2 child(ren) 0.795 1.006 0.925 Couple with 3+ children 1.801 2.421 Elderly couple 0.642 0.516 Single male elderly 0.741 0.030 0.729 0.042 Single female elderly 0.935 0.492 1.122 0.227 Other w/o children 0.360 0.442 Other with child(ren) 0 (b) - Born in country of residence Born in another country Employed 1.000 0.998 1.202 0.078 Unemployed 0.446 0.345 Retired 1.197 0.012 1.255 0.002 Inactive Densely populated 0.506 0.489 Intermediately populated 0.683 0.474 Thinly populated

11/13/2018   Estimate Sig. Intercept 3.472 0.000 Single male -0.116 Single female -0.088 Single parent child(ren) -0.182 Couple w/o children 0.100 Couple with 1-2 child(ren) 0.097 Couple with 3+ children -0.077 Elderly couple 0.048 Single male elderly -0.007 0.701 Single female elderly -0.165 Other w/o children 0.053 Other with child(ren) 0 (b) - Employed 0.433 Unemployed -0.299 Retired 0.010 0.440 Inactive Urbanization degree 0.045

11/13/2018 Regional population density -3.4E-04 0.000 Regional GDP per head 4.3E-05 Doctors per 1000 inhabitants 3.5E-04 Hospital beds per 1000 inhabitants -5.1E-04 Railroad kms per km2 1.625 Regional proportion of tertiary -1.2E-02 students of total students/pupils Model Statistics -2RLL AIC 46200.43 46202.43

Single parent child(ren) -0.176   Estimate Sig. Intercept 3.361 0.000 Single male -0.127 Single female -0.090 Single parent child(ren) -0.176 Couple w/o children 0.092 Couple with 1-2 child(ren) 0.102 Couple with 3+ children -0.077 Elderly couple 0.041 Single male elderly -0.020 0.249 Single female elderly -0.173 Other w/o children 0.052 Other with child(ren) 0 (b) - Employed 0.446 Unemployed -0.284 Retired 0.018 0.106 Inactive Urbanization degree 0.054 Regional GDP per head 4.2E-05 Regional proportion of tertiary students -0.016 of total students/pupils Model Statistics -2RLL AIC 51157.33 51465.33 11/13/2018

11/13/2018 Conclusions Elderly households and urban households are the main groups that have a higher deprivation relative to their poverty risk Larger families are relatively more at risk of poverty than of deprivation A significant part of the variability in well-being is due to regional differences Only regional GDP per capita seems to explain part of the regional variability in well-being means