ICT age for the seniors and socially excluded persons in Helsinki 2008-2013
What makes people socially excluded?Role of drivers, individual characteristics and local...
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What makes people socially excluded?
Role of drivers, individual characteristics and local conditions.
Mihail Peleah, Andrey Ivanov, UNDP Bratislava Regional Center
Presentation for HDCA 2013 Conference10-12 September 2013, Managua, Nicaragua
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Drivers of social exclusionSpecific local conditions
Social exclusion status
Individual characteristics
interact with
in context of
…and result in
Structures and institutions; values and behavior patterns; policiesDrivers are external factors, influenced by legacies, that either speed up or slow down the process of individual vulnerabilities turning into social exclusion
(social exclusion risk factors), like poor education, disability, minority status
Predominant industry, single or multiple employment opportunities, local infrastructures, history of violent conflict or environmental disaster
of the individual in three dimensions—exclusion from economic life, social services, and civic and social participation
Social Exclusion Chain
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HOW WE MEASURE SOCIAL EXCLUSION STATUS?
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Social Exclusion Index
• Objective and multidimensional measure of social exclusion
• Measure status excluded or non-excluded, not ‘perception’ or ‘risk’
• Applicable for Europe and Central Asia region
• Useful for policymaking
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Data sources• Regional Survey for RHDR (2009)
• Kazakhstan and Tajikistan• Moldova and Ukraine• Macedonia FYR and Serbia
• + Armenia: Social Cohesion Study (2010)• Compatible with the Regional Survey• Includes sub-national level
• Serbia• Secondary source contextualization• Roma and IDP
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Construction of index
• Based on Alkire-Foster (2009)• 3 areas of exclusion
– Economic exclusion– Exclusion from – Exclusion from civic and political participation
• 24 indicators, 8 per area• Exclusion is overlapping deprivations• Threshold is 9 out of 24
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Social Exclusion Index H—Social Exclusion HeadcountSensitive to breadth, not depth of exclusionH=0.600 (3 out of 5) A—Average Share of Deprivations among ExcludedSensitive to depth of exclusionA=0.569 M0=H▪A—Social Exclusion IndexSensitive both to breadth and depth of exclusionM0=0.600•0.569=0.341
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Profiles of exclusison
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DRIVERS OF EXCLUSION
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Drivers of Exclusion
• Structural or institutional drivers
• Values and behavioural patterns
• Policies
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Corruption: Supply and Tolerance
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Attitudes matter
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PERSONAL CHARACTERISTICS
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Different combinations of individual risks and local context results in different levels of social exclusion
Average
Capital or economic center
Small town
Village
Average risk of exclusion in the region hides significant territorial differences…
Individual vulnerabilities (like disability) interact with local
conditions and amplify exclusion
Disabled doesn’t mean automatically excluded!
Local conditions matter
Source: RHDR “Beyond Transition: Toward Inclusive Societies”, 2011
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Cycles of exclusion
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LOCAL CONDITIONS
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Three steps
• Regional study– In-study contextual data– Contextualization by experts
• Armenia– Secondary sources at regional level
• Serbia– Secondary sources at municipal level– Extended set of indicators– Some econometrics
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Secondary Source Contextualization
Survey
Administrative datasets
Statistical databases
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Local economy matters
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Serbia: Social Exclusion andHealth
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Serbia: Social Exclusion and Education
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Serbia: Social Exclusion and Employment
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Regression: Mixed pictureFull set Booster Full set Boosterind OLS ind OLS best MLS best MLS
lactrate Activity rate (%) +0.002 -0.046lorgemp Employed in enterprise, institutions, cooperatives and other
organizations (total, %)-0.046 +0.038 -0.028
lagric Agriculture, forestry and water works (%) +0.068 -0.394lromashare Share of Roma in settlement +0.217 -0.486lcurrevpc Current revenues (in RSD thousands) per capita -0.028 -0.110 -0.036 -0.066ldistcap Distance from capital (by car) +0.004 +0.032ldistuni Distance to nearest university -0.011 +0.095 -0.028ldistrest Distance to nearest restaurant -0.000 +0.092ldisthosp Distance to nearest hospital +0.032 +0.088lbirth1000w Birth rate per 1000 women -0.050 -0.435 -0.052ldeath1000 Number of deaths per year per 1000 +0.232 -0.804lpupsch Number of pupils in primary schools per school -0.002 +0.002lchisch Number of children in preschool institutions per institution -0.003 +0.006 +0.019lchi1000 Number of children in preschool institutions per 1000 children 5-9 -0.005 -0.001 -0.005
ldoc1000 Number of doctors per capita per 1000 people -0.185 -2.175lvoted Number of voters who casted their vote in last elections per 100
person adult population (share of those who casted)-0.001 +0.218 +0.488
nperhh Number of persons in household -0.165 +0.771nkids14hh Number of children under 14 in household -0.189 +1.389 -0.311 +1.204v15 Age of respondent +0.063 -0.005p_isdsbld Main respondent has disability or long-term illenss +2.600 +3.220 +2.432 +2.519
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COMBINING PIECES OF PUZZLE
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Different combinations of individual risks, drivers and local context results in different levels of social exclusion
If you are young person, with low education, living in village, with single company—you face high risk of exclusion
…and secondary education doesn’t help much in these conditions…
…while vibrant business environment makes a lot of difference
…economic centers offer more opportunities (even with low education)
…and much more if you are educated
++
++ + +
Source: RHDR “Beyond Transition: Toward Inclusive Societies”, 2011