Analysis of Technical Efficiency of Tomato Production in Samarkand region, Uzbekistan

골리브 사나예브 (Golib Sanaev); 김경량 (Kyung-Ryang Kim)

Analysis of Technical Efficiency of Tomato Production in Samarkand region, Uzbekistan

Journal of Regional Studies and Development
Abbr : JRSD
2017, 26(1), pp.247-271
Publisher : Institute for Poverty Alleviation and International Development: IPAID
Research Area : Social Science > Area Studies > Regional Studies in general > Comparative / Statistical Regional Studies
Published : April 30, 2017

Golib Sanaev ¹, Kyung-Ryang Kim ¹

¹강원대학교

Accredited

ABSTRACT

In recent years, ongoing agrarian reforms in Uzbekistan are becoming more oriented to diversification of agricultural production with a focus on the production of fruit and vegetables. In this study technical efficiency of tomato production in the Eastern part of Samarkand region is estimated using stochastic frontier production function. Data for the study were collected from randomly selected 250 private farms in Jambay and Bulungur districts of Samarkand region. Technical efficiency of private farms was estimated independently for two districts. The results of the likelihood ratio-type test showed that data are analyzed better with translog production function in both districts. The mean of technical efficiency of private farmers was 83.0 and 88.4 percent in Jambay and Bulungur districts respectively. These results suggest that private farms can increase tomato yield by 17.0 percent in Jambay and 11.6 percent in Bulungur through reallocation of existing resources. Empirical results indicated that farmer's experience and education are found to be important variables and have negative effects on technical inefficiency and were significant in both districts. Farmers who studied at agricultural colleges or universities are found to be more efficient in Jambay district.

KEYWORDS

Determinants of inefficiency, Stochastic Frontier Analysis

Citation status

* References for papers published after 2023 are currently being built.

[journal] Ajibefun, I. A / 2002 / Determinants of technical efficiency in smallholder food crop farming: application of stochastic frontier production function / Quarterly Journal of International Agriculture 41(3) : 225~240

[journal] Ajibefun, Igbekele A / 2006 / Technical Efficiency of Small Scale Farmers: an Application of the Stochastic Frontier Production Function to Rural and Urban Farmers in Ondo State, Nigeria / International Economic Journal / 한국국제경제학회 20(1) : 87~108

[journal] Aigner, D / 1977 / Formulation and estimation of stochastic frontier production function models / journal of Econometrics 6(1) : 21~37

[book] Battese, G. E / 1992 / International Applications of Productivity and Efficiency Analysis / Springer Netherlands : 149~165

[book] Battese, G. E / 1993 / A stochastic frontier production function incorporating a model for technical inefficiency effects (Vol. 69) / Department of Econometrics, University of New England

[journal] Battese, G. E / 1995 / A model for technical inefficiency effects in a stochastic frontier production function for panel data / Empirical economics 20(2) : 325~332

[journal] Bera, A. K / 1999 / Estimating production uncertainty in stochastic frontier production function models / Journal of Productivity Analysis 12(3) : 187~210

[journal] Bozoğlu, M / 2007 / Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province, Turkey / Agricultural systems 94(3) : 649~656

[journal] Coelli, T. J / 1996 / Identification of factors which influence the technical inefficiency of Indian farmers / Australian Journal of Agricultural Economics 40(2) : 103~128

[book] Coelli, T. J / 2005 / An introduction to efficiency and productivity analysis / Springer Science &Business Media

[journal] Farrell, M. J / 1957 / The measurement of productive efficiency. Journal of the Royal Statistical Society / Series A (General) 120(3) : 253~290

[journal] Frame, W. S / 2001 / US financial services consolidation: The case of corporate credit unions / Review of Industrial Organization 18(2) : 229~241

[journal] Hjalmarsson, L / 1996 / DEA, DFA and SFA: a comparison / Journal of Productivity Analysis 7(2-3) : 303~327

[journal] Horrace, W. C / 1996 / Confidence statements for efficiency estimates from stochastic frontier models / Journal of Productivity Analysis 7(2-3) : 257~282

[book] Ibrah, A. A. A / 2015 / Technical Efficiency of Wheat Farms in River Nile State / Sudan

[journal] Karimov, A. A / 2014 / Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement / Agricultural and Food Economics 2(1) : 1~

[report] Kim, K.R / 2013 / Agriculture and Marketing Development for Agro-Processing Pilot Cluster in Uzbekistan. Policy Consultation on Uzbekistan’s Industry Innovation Strategy / Ministry of Strategy and Finance of Republic of Korea and Korea Development Institute, KSP

[journal] Kodde, D.A / 1986 / Wald Criteria for Jointly Testing Equality and Inequality Restrictions / Econometrica 54 : 1243~1248

[book] Kumbhakar, S. C / 2015 / A Practitioner's Guide to Stochastic Frontier Analysis Using Stata / Cambridge University Press

[journal] Theodoridis, A / 2014 / Efficiency and productivity change analysis of cotton production in Uzbekistan / Outlook on AGRICULTURE 43(4) : 259~263

[journal] Wang, H. J / 2002 / Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model / Journal of Productivity Analysis 18(3) : 241~253

[web] World Bank / 2015 / World Bank Group – Uzbekistan Partnership: Country Program Snapshot / http://pubdocs.worldbank.org/pubdocs/publicdoc/2015/10/420141446025649239/Uzbekistan-Snapshot.pdf

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