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Launch of Regional Human Development Report 2011—Oxford
Oxford—natural place for launch: evolving OPHI-UNDP cooperation   large network of HD professionals and students  Report is the fruit of very hard work, with support of many dedicated people—we thank them all In particular, large team of authors—many are here, others follow the launch on-line. Why Oxford; acknowledgements
Human Development and Social Inclusion Complementary, people-centered concepts; evolved in parallel so far  Human development isthegoalto achieve—people living long, healthy and creative lives they have reason to value;  Social inclusion isthe meansto get there; and Social exclusion—the existence of cumulative deprivations in three dimensions—is the obstacleto be overcome to achieve the goal.
Overall objectives of the Report  Understand  the dynamics of social exclusion, inclusion and human development in the region since 1991 Provide tools  for assessing levels and intensity of social exclusion, detecting its main causes and the risks  Identify  determinants of social exclusion in individual dimensions Formulate  realistic, evidence-based policy responses at                   		central and local levels to effectively address it
To achieve these objectives, we Define the chain of social exclusion: risks interacting with drivers and local characteristics to result in exclusion status  Develop an operational methodology for social exclusion measurement and monitoring at national and local levels Analyze patterns of exclusion  Provide policy recommendations rooted in local specifics to enhance social inclusion.
Exclusion, not multi-dimensional poverty Same methodology as MPI, but different application  Social exclusion: accumulation of deprivations 	-Dynamic process: interaction of exclusion risks, drivers, local context; feedback loops -Relative (but not subjective): deprivations are measured relative to others in same society; but the measure is not about feelings of deprivation—it is about  not having access to basic consumption basket, public services  or social networks. 6
The social exclusion chain Individual characteristics  gender, ethnicity, health status Feedback to traits Positive: empowered, educated, Negative – accident as consequence of informal labor Inclusion Drivers of Exclusion Local context:  rural, mono-town Positive reinforcing feedback i.e. vote, voice or action Institutions, policies and values Exclusion Negative feedback i.e. informality, unemployment
The report’s quantitative underpinnings Social Exclusion Survey in 6 countries of the region (FYROM, SRB, UKR, MVA, TAJ, KAZ) Locality-specific data for contextualization of survey Secondary data on all countries of the region Development and other indicators relevant to social exclusion and inclusion
Quantifying social exclusion
Multidimensional Poverty Approach Same UNDP/OPHI approach as used for Global HDR 2010 for poverty ‘Dual cutoff’ method:  ,[object Object]
across dimensions: overall threshold (number of deprivations) beyond which a person is considered socially excluded ,[object Object]
Tough measurement question:How many deprivations does it take to be excluded? Threshold-number of deprivations, a matter of choice Our survey: 9   12
The cut-off line affects the share of excluded, but not countries’ relative standing
Share of socially excluded and the social exclusion index
Highly even contribution of individual dimensions to overall exclusion
Main findings:  Individual characteristics  and exclusion status
Social exclusion and age: children and elderly are most affected
Employment is crucial to avoid social exclusion
Low education level raises social exclusion
Certain groups are more excluded (Serbia Survey)
Higher Human Development Index correlates closely with higher social inclusion
Drivers of exclusion  and their implications  for exclusion status
Poor governance goes closely with exclusion 23
Barriers to business exacerbate social exclusion
A better functioning labour market enhances social inclusion
Informal employment brings dubious benefits
Less tolerant values enhance social exclusion
Specifics of local context and its implications  for social exclusion
Tolerance of corruption heightens social exclusion
Location matters greatly!  30
Social exclusion is particularly high in mono-company towns
The quality of local infrastructure also affects social exclusion
Lasting effects of environmental disasters in yet another area: social exclusion
Towards an ‘individualized approach’ to social exclusion  Integrating individual risks,    specifics of local context, and values.
Individual vulnerabilities (like disability) interact with local conditions and amplify exclusion Different combinations of individual risks, drivers and local context results in different levels of social exclusion Average Average risk of exclusion in the region hides significant territorial differences… Capital or  economic center Disabled doesn’t mean automatically excluded! Local conditions matter Small town Village
Combination of risks, concluded
In sum: both who you are and where you live matter  If you are young person, with low education, living in a village, or a town with a single company—you face a 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 + + + 37
Conclusions  ,[object Object]
It could be anyone!  Everyone is at risk of being left out of society, not only marginalized groups.

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Beyond Transition- Towards Inclusive Societes (Regional Human Development Report 2011)

  • 1. Launch of Regional Human Development Report 2011—Oxford
  • 2. Oxford—natural place for launch: evolving OPHI-UNDP cooperation large network of HD professionals and students Report is the fruit of very hard work, with support of many dedicated people—we thank them all In particular, large team of authors—many are here, others follow the launch on-line. Why Oxford; acknowledgements
  • 3. Human Development and Social Inclusion Complementary, people-centered concepts; evolved in parallel so far Human development isthegoalto achieve—people living long, healthy and creative lives they have reason to value; Social inclusion isthe meansto get there; and Social exclusion—the existence of cumulative deprivations in three dimensions—is the obstacleto be overcome to achieve the goal.
  • 4. Overall objectives of the Report Understand the dynamics of social exclusion, inclusion and human development in the region since 1991 Provide tools for assessing levels and intensity of social exclusion, detecting its main causes and the risks Identify determinants of social exclusion in individual dimensions Formulate realistic, evidence-based policy responses at central and local levels to effectively address it
  • 5. To achieve these objectives, we Define the chain of social exclusion: risks interacting with drivers and local characteristics to result in exclusion status Develop an operational methodology for social exclusion measurement and monitoring at national and local levels Analyze patterns of exclusion Provide policy recommendations rooted in local specifics to enhance social inclusion.
  • 6. Exclusion, not multi-dimensional poverty Same methodology as MPI, but different application Social exclusion: accumulation of deprivations -Dynamic process: interaction of exclusion risks, drivers, local context; feedback loops -Relative (but not subjective): deprivations are measured relative to others in same society; but the measure is not about feelings of deprivation—it is about not having access to basic consumption basket, public services or social networks. 6
  • 7. The social exclusion chain Individual characteristics gender, ethnicity, health status Feedback to traits Positive: empowered, educated, Negative – accident as consequence of informal labor Inclusion Drivers of Exclusion Local context: rural, mono-town Positive reinforcing feedback i.e. vote, voice or action Institutions, policies and values Exclusion Negative feedback i.e. informality, unemployment
  • 8. The report’s quantitative underpinnings Social Exclusion Survey in 6 countries of the region (FYROM, SRB, UKR, MVA, TAJ, KAZ) Locality-specific data for contextualization of survey Secondary data on all countries of the region Development and other indicators relevant to social exclusion and inclusion
  • 10.
  • 11.
  • 12. Tough measurement question:How many deprivations does it take to be excluded? Threshold-number of deprivations, a matter of choice Our survey: 9 12
  • 13. The cut-off line affects the share of excluded, but not countries’ relative standing
  • 14. Share of socially excluded and the social exclusion index
  • 15. Highly even contribution of individual dimensions to overall exclusion
  • 16. Main findings: Individual characteristics and exclusion status
  • 17. Social exclusion and age: children and elderly are most affected
  • 18. Employment is crucial to avoid social exclusion
  • 19. Low education level raises social exclusion
  • 20. Certain groups are more excluded (Serbia Survey)
  • 21. Higher Human Development Index correlates closely with higher social inclusion
  • 22. Drivers of exclusion and their implications for exclusion status
  • 23. Poor governance goes closely with exclusion 23
  • 24. Barriers to business exacerbate social exclusion
  • 25. A better functioning labour market enhances social inclusion
  • 26. Informal employment brings dubious benefits
  • 27. Less tolerant values enhance social exclusion
  • 28. Specifics of local context and its implications for social exclusion
  • 29. Tolerance of corruption heightens social exclusion
  • 31. Social exclusion is particularly high in mono-company towns
  • 32. The quality of local infrastructure also affects social exclusion
  • 33. Lasting effects of environmental disasters in yet another area: social exclusion
  • 34. Towards an ‘individualized approach’ to social exclusion Integrating individual risks, specifics of local context, and values.
  • 35. Individual vulnerabilities (like disability) interact with local conditions and amplify exclusion Different combinations of individual risks, drivers and local context results in different levels of social exclusion Average Average risk of exclusion in the region hides significant territorial differences… Capital or economic center Disabled doesn’t mean automatically excluded! Local conditions matter Small town Village
  • 37. In sum: both who you are and where you live matter If you are young person, with low education, living in a village, or a town with a single company—you face a 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 + + + 37
  • 38.
  • 39. It could be anyone! Everyone is at risk of being left out of society, not only marginalized groups.
  • 40. Income doesn’t tell the whole story ! To be part of society, you also need access to public services, and opportunities to participate in community life.
  • 41. Attitudes, local economy characteristics, policies matter
  • 42. No single policy can eliminate exclusion - Policies need to be comprehensive to break the social exclusion chain38
  • 43. Recommendations Genuine, sustained commitment to social inclusion with clear targets Preventive focus on individual vulnerabilities Clear focus on people’s capacities Addressing institutional drivers is crucial Match this with deliberate efforts to change mindsets UNDP can help: We can generate projectable ideas We can implement them region-wide using our country office network, and partners

Editor's Notes

  1. Downward spiral: discrimination/gender bias raising unemployment; ineffective health, education, social spending leading to lower tax baseUpward spiral: education of girls in Muslim societies; human capital gains from including Roma in labor markets.
  2. WB Index government effectiveness Barriers to businessInformality
  3. Actually the study has a data set on individual characteristics and local context, which makes it possible to combine the individual risks fro exclusion