斯德哥尔摩国际和平研究所-Measuring-Social-Cohesion-in-the-Kyrgyz-Republic_-The-Social-Cohesion-Index_68页_3mb

Summary of "Measuring Social Cohesion in the Kyrgyz Republic"

Core Content

This document presents the development and application of a Social Cohesion Index for assessing social cohesion in the Kyrgyz Republic as part of the "Social Cohesion through Community-Based Development" project. The index is designed to evaluate the baseline, midline, and endline impact of community-based development interventions across 30 sub-districts (Ayil Aimak). The study is conducted by the Stockholm International Peace Research Institute (SIPRI) and the University of Central Asia (UCA), with funding from the World Bank and the Aga Khan Foundation.

The index is based on a streamlined conceptual model of social cohesion, known as the Social Cohesion Radar, which identifies three main domains: social relations, connectedness, and focus on the common good. Each domain includes three dimensions, which are used to measure different aspects of social cohesion.

Main Viewpoints

• Social Cohesion as a Multi-Dimensional Construct: Social cohesion is not a single concept but a multi-dimensional one that can be measured across micro, meso, and macro levels. It is defined as a descriptive attribute of a collective, expressing the quality of social cooperation.

• Three Domains of Social Cohesion:

  • Social Relations: Involves social networks, trust in people, and acceptance of diversity.
  • Connectedness: Includes identification with the country, trust in institutions, and perception of fairness.
  • Focus on the Common Good: Refers to solidarity and helpfulness, respect for social rules, and civic participation.

• Empirical Approach: The index is built using exploratory factor analysis and scale standardization on baseline survey data from 2014, with the intention of applying the same methodology at midline and endline (2017) to track changes in social cohesion over time.

• Data Sources: The study uses data from four levels: community, household, individual (adults), and youth. Each level provides specific information relevant to the dimensions of social cohesion.

Key Information

Data Overview

• Community Data: Contains information on geography, infrastructure, economic activity, and community participation.
• Household Data: Includes details on household composition, assets, income, migration, and critical events.
• Individual Data: Encompasses subjective well-being, education, health, personality, trust, identity, social networks, and civic participation.
• Youth Data: Similar to individual data, but with more limited scope.

Methodology Highlights

• Indicator Selection: Based on face validity, which refers to the initial judgment of whether an indicator aligns with the guiding principles of social cohesion.
• Data Cleaning and Recoding: Missing data was removed, and indicators were recoded to facilitate interpretation. Continuous variables were treated as such, while nominal or ordinal variables were dichotomized.
• Aggregation: Data was aggregated from the household level to the village and sub-district levels to enable comparisons at different administrative levels.
• Challenges with Youth Data: Three dimensions of social cohesion had no corresponding indicators in the youth data, so they were not included in the overall index. However, the youth data were used to calculate single dimensions where indicators matched those of adults.

Findings

• Social Cohesion Levels: Social cohesion in the Kyrgyz Republic generally ranges from moderate to moderately high, but social networks and solidarity and helpfulness are areas for improvement.

• Determinants and Outcomes: Correlation analysis identified several factors influencing social cohesion, including:

  • Economic conditions (e.g., employment, income, education)
  • Spatial structure (e.g., access to infrastructure like paved roads)
  • Modernization (e.g., presence of new media)
  • Demographic factors (e.g., household size)
  • Diversity (e.g., number of languages spoken)
  • Well-being (e.g., life satisfaction)
  • Personality traits

• Youth Dimension Analysis: Although youth data were not included in the overall index, they were used to calculate scores for dimensions where indicators matched those of adults. This allowed for a comparison of youth and adult perspectives on social cohesion.

Future Steps

• The index will be recalculated at the midline and endline to assess the impact of interventions.
• The project aims to use the index to guide advocacy efforts and policy interventions by identifying key areas where improvements can be made.
• The study also highlights the importance of context-specific indicators and the potential for using the Social Cohesion Radar in other regions for cross-national comparisons.

Conclusion

The Social Cohesion Index provides a structured and empirical method to assess the levels and determinants of social cohesion in the Kyrgyz Republic. It emphasizes the importance of social relationships, institutional trust, and collective action in promoting cohesion. The study also underscores the need for contextual relevance in measuring social cohesion and the value of longitudinal analysis to evaluate the impact of development interventions.

Key Tables and Figures

• Table 1: Lists the three domains of social cohesion and their respective dimensions.
• Table 2: Shows social cohesion scores for 30 sub-districts, grouped by treatment and overall score.
• Table 3: Provides social cohesion scores for specific villages.
• Table 4: Details differences in social cohesion between pilot and control groups.
• Table 5: Summarizes cohesion profiles across five clusters.
• Table 6: Outlines baseline correlations between social cohesion and its determinants and outcomes.
• Table 7: Lists youth dimension scores across 30 sub-districts, grouped by treatment and diversity.
• Table 8: Compares youth and adult dimension scores.
• Table 9: Details correlations between youth dimension scores and determinants/outcomes.
• Figure 1: Visualizes the three domains of social cohesion and their dimensions.
• Figure 2: Color-codes social cohesion scores.
• Figure 3: Shows a dendrogram of sub-district clustering based on cohesion levels.
• Figure 4–11: Present correlations between social cohesion and various determinants and outcomes.