2013年-世界发展银行全球_Market_Accessibility_and_Regional_Maps___Kyrgyz_Republic_65页_5mb

Summary: Market Accessibility and Regional Maps in the Kyrgyz Republic

Core Content

This paper examines the relationship between market accessibility and regional development in the Kyrgyz Republic, using a combination of census data, household surveys, and geographic information systems (GIS) to analyze spatial patterns of poverty and economic activity. The focus is on how market access influences economic outcomes and the distribution of poverty, with an emphasis on the role of transportation infrastructure in shaping these dynamics.

Main Points

• Market Accessibility and Development: Access to markets is considered a critical factor in development and poverty alleviation. Improved market access reduces economic distance, facilitates trade, and can lead to higher per capita income and better living standards.

• Market Accessibility Index (MAI): The paper introduces the MAI, which measures the potential connectivity between populated places and major cities via the transport network. It is calculated using a negative exponential potential model that incorporates travel time and population/expenditure data.

• Data Sources:

  • Population: 2009 census data from the National Statistical Committee (NSC) and ARIS GIS data.
  • Poverty Rate: Calculated using the head count rate method from the ELL approach and the Kyrgyz Integrated Household Survey (2009).
  • Education and Health: Data from the 2009 census and the UN Kyrgyzstan district profile, including education levels, health outcomes, and the number of health facilities.
  • Employment and Sector Data: Sectors such as agriculture, manufacturing, and transport are analyzed using 2009 census data.
  • Nighttime Lights: Used as an indicator of economic activity, with data from US NOAA for 2010.
  • Government Expenditure: Data from the BOOST database (2010) for transport and capital road repair.

• Key Findings:

  • High Market Access: Concentrates near large cities with better infrastructure, such as Bishkek and Osh.
  • Low Market Access: More prevalent in rural and mountainous areas, contributing to economic and social disparities.
  • Correlation Between Population and Expenditure Potential: The population potential is more widely distributed than expenditure potential, leading to similar spatial patterns in both indices.
  • Poverty and Accessibility: Areas of high poverty coincide with low market access and limited availability of basic services like education and health.
  • Unemployment and Low-Wage Sectors: High poverty areas also show high unemployment and employment in low-wage sectors.

Key Information

• The Market Accessibility Index is a tool that can be used in economic models to assess the significance of market access on per capita expenditure and poverty.
• GIS and Spatial Analysis: The use of GIS data allows for the visualization and analysis of spatial patterns, making it easier to understand the relationship between market access and poverty.
• Infrastructure Impact: Improved transportation infrastructure reduces travel time and costs, thereby increasing economic opportunities and access to services.
• Policy Implications: The paper suggests that policies should focus on improving connectivity in lagging areas, promoting labor mobility, and increasing investment in infrastructure and basic services to reduce economic and social disparities.
• Limitations:
  • Osh city data is incomplete due to issues in the Household Budget Survey (2009).
  • The accessibility index is a relative measure and should be interpreted in comparison with other regions, not as a direct cause-effect relationship.
  • Other factors such as informal and formal barriers, religion, language, and culture also influence accessibility.

Methodology

• Travel Time Model: Constructed using GIS data to calculate the shortest travel time from each origin to a target city.
• Data Modifications:
  • Population and expenditure data are matched to GIS road segments.
  • Travel time per road segment is calculated in meters.
  • Additional wait times at border crossings are included in the model.
  • Population points are matched to the nearest road intersection for analysis.

Conclusion

The study highlights the importance of spatial analysis in understanding regional development and poverty dynamics. It demonstrates that areas with better market access tend to have higher economic activity, better living standards, and more access to essential services. Future work will integrate the Market Accessibility Index into economic models to further explore its impact on poverty and regional growth. The findings support the need for policies that improve infrastructure and connectivity in underdeveloped regions to promote more equitable development.