Rural Poverty Determinants in the Remote Rural Areas of Kyrgyzstan

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

Business & Finance, Economics, Economic Conditions, Economic Development, Management & Leadership, Leadership
Cover of the book Rural Poverty Determinants in the Remote Rural Areas of Kyrgyzstan by Kanat Tilekeyev, Peter Lang
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Author: Kanat Tilekeyev ISBN: 9783653987461
Publisher: Peter Lang Publication: July 8, 2014
Imprint: Peter Lang GmbH, Internationaler Verlag der Wissenschaften Language: English
Author: Kanat Tilekeyev
ISBN: 9783653987461
Publisher: Peter Lang
Publication: July 8, 2014
Imprint: Peter Lang GmbH, Internationaler Verlag der Wissenschaften
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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