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Rural Poverty Determinants in the Remote Rural Areas of Kyrgyzstan

A Production Efficiency Impact on the Poverty Level of a Rural Household

by Kanat Tilekeyev (Author)
©2014 Thesis XII, 234 Pages

Summary

This book is a study about rural poverty in the remote rural area of Kyrgyzstan. It analyses the linkage of poverty with the limits of production frontier efficiency of the rural households in the selected area. A field survey of the cross-section random sample collects primary information about 297 rural households. This allows to measure rural poverty and frontier production efficiency of a sample, using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. The empirical results demonstrate statistical significance of the poverty-efficiency linkage in the case of simple and multivariate linear regression. The endogeneity problem is resolved with the proposed instrumental variables, not correlating with the wealth of the household, but affecting the technical efficiency.

Table Of Contents

  • Cover
  • Title
  • Copyright
  • About the Author
  • About the Book
  • This eBook can be cited
  • Table of Contents
  • List of Figures
  • List of Tables
  • List of Abbreviations
  • Preface / Acknowledgments
  • 1. Introduction
  • 2. Kyrgyzstan - Country Profile
  • 2.1 Geography, Climate, Natural Resources
  • 2.2 History, People, Economy and Political System
  • 2.3 Poverty Trends in Kyrgyzstan
  • 2.4 Research Question Formulation
  • 3. Theoretical Background
  • 3.1 Poverty Measurement Methodology
  • 3.1.1 Poverty Measurement Tools
  • 3.1.2 Living Standards Measurement Study
  • 3.1.3 Poverty Methodology History in Kyrgyzstan
  • 3.2 Production Frontier History
  • 3.2.1 Frontier Model Assumptions
  • 3.2.2 Data Envelopment Analysis
  • 3.2.3 Stochastic Frontier Analysis
  • 3.2.4 Frontier Model Application
  • 4. Survey
  • 4.1 Selected Region Description – Talas Oblast
  • 4.1.1 Geography, Climate, Population and Economy
  • 4.1.2 Agriculture of the Region
  • 4.2 Data Collection Methodology
  • 4.2.1 Survey Questionnaire
  • 4.2.2 Survey Sample Design
  • 4.3 Survey Organization
  • 4.3.1 Survey Management and Preparation
  • 4.3.2 Staff Training and Quality Control
  • 4.3.3 Project Schedule Implementation and Final Data Collected
  • 5. Descriptive Statistics
  • 5.1 Household Sample Profile
  • 5.2 Agricultural Production Activity
  • Land
  • Crop Production
  • Livestock Production
  • 5.3 Non-Agricultural Activity Statistics
  • 6. Empirical Analysis Results
  • 6.1 Poverty Measurement
  • 6.1.1 Consumption Aggregate Construction
  • 6.1.2 Poverty Line Adoption
  • 6.1.3 Poverty Measurement Results
  • 6.2 Production Efficiency Measurement
  • 6.2.1 Production Variables Set
  • 6.2.2 DEA Efficiency Model Application
  • 6.2.3 SFA Efficiency Model Application
  • 6.3 Poverty - Efficiency Linkage Model Results and Discussions
  • 6.3.1 Poverty Indicator Adjustment
  • 6.3.2 Poverty - Efficiency Model Results
  • 7. Conclusions
  • A Research Questionnaire
  • B Supporting Letter
  • C Maps of the Sampled Villages
  • D Additional Agricultural Statistics of the Sample
  • E TSLS First Stage Results
  • Bibliography

LIST OF FIGURES

Figures

LIST OF TABLES

Details

Pages
XII, 234
Year
2014
ISBN (PDF)
9783653042894
ISBN (ePUB)
9783653987461
ISBN (MOBI)
9783653987454
ISBN (Hardcover)
9783631650936
DOI
10.3726/978-3-653-04289-4
Language
English
Publication date
2014 (July)
Keywords
ländliche Armut Haushalte Effizienzgrenze Feldforschung
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2014. XII, 234 pp., num. fig. and tables

Biographical notes

Kanat Tilekeyev (Author)

Kanat Tilekeyev is an agricultural economist. He was involved in research and development projects in Kyrgyzstan. With a joint scholarship from the University of Central Asia (UCA) and the German Academic Exchange Service (DAAD), he also studied at the University of Gießen (Germany) before joining UCA’s Institute of Public Policy and Administration as a research fellow.

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Title: Rural Poverty Determinants in the Remote Rural Areas of Kyrgyzstan
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