Global Advanced Research Journal of Agricultural Science
September 2012 Vol. 1(7), pp 191-200
Copyright © 2012 Global Advanced Research Journals

 

Full Length Research Paper

Who is technically efficient in Crop Production in Tigray Region, Ethiopia?    Stochastic Frontier Approach

Shumet Asefa

Department of Economics, Wollega University,Ethiopia.

E-mail:shumetasefa@gmail.com;  Tel: +251913486802

Accepted 30 August, 2012

Abstract

 This paper provides new estimates of small holder farmers' technical efficiency and its principal determinants using a rural Tigray micro finance survey data collected in 2009. Both descriptive and econometric methods are used. The hypotheses tests confirm the adequacy of Cobb-Douglas over Translog frontier;the appropriateness of using SFA over OLS; the joint statistical significance of inefficiency effects; the appropriateness of using truncated normal distribution for one sided error; and the increasing returns to scale nature of the stochastic production function. The maximum likelihood parameter estimates showed that except labor all input variables have positive and significant effect on production. The results reveal that number of oxen owned has the highest elasticity, then land, followed by labor and value of farm equipment. The analysis shows that the mean technical efficiency of farmers is 60.38% implying that output in the study area can be increased by 39.62% at the existing level of inputs and current technology by operating at full technical efficient level. The estimated stochastic frontier production function revealed that all determinants (except households' sex, farm size, participation in irrigation, and member to association) have significant effect on efficiency of farmers. The sign of coefficients of determinants is found as the expected, except households' sex. Education of household heads, family literacy, family size, share cropping, credit access, crop diversification, and land fertility are found to enhance efficiency. In contrast, Households' age, dependency ratio, livestock size, and off-farm activity are found to increase inefficiency.

 Keywords: Ethiopia, Agriculture, Ethiopia, Smallholder Farmers, Technical Efficiency, Tigray.

Related Articles


Original Research Articles
Bello M, Daudu S, Galadima OE, Anzaku TKA and AA Abubakar
Factors Influencing Adoption of Crop-Based Technologies in Jenkwe Development Area of Nasarawa State, Nigeria.
Glo. Adv. Res. J. Agric. Sci. October 2012 Vol: 1(8): - [Abstract] [Full Text - PDF] (182 KB)
P. Azinwi Tamfuh, E. Djoufac Woumfo, F.O. Tabi, M. Angue-Abossolo and D. Bitom
Geostatistical modeling and agricultural perspectives of vertisol properties in the Benue Floodplain of North Cameroon
Glo. Adv. Res. J. Agric. Sci. July 2018 Vol: 7(7): - [Abstract] [Full Text - PDF] (1,736 KB)
IMPS Ilangamudali, SHS Senarathne and WCP Egodawatta
Evaluation of Coconut Based Gliricidia sepium Agroforestry Systems to Improve the Soil Properties of Intermediate and Dry Zone Coconut Growing Areas
Glo. Adv. Res. J. Agric. Sci. February 2014 Vol: 3(2): - [Abstract] [Full Text - PDF] (179 KB)
Raji MO, Salihu Muhammad, Firima Dinebari, Amira Bello, Oladigbolu RA and Kaoje AU
Predictors of Hawking experience, and knowledge of health hazard of street hawking, among Child Hawkers in Sokoto Metropolis
Glo. Adv. Res. J. Agric. Sci. September 2017 Vol: 6(9): - [Abstract] [Full Text - PDF] (123 KB)
Ogutu MO, Muasya R, Ouma G
Effects of Cropping System, Planting Location and Inorganic Nitrogen on Quality of Bean Seed in Western Kenya
Glo. Adv. Res. J. Agric. Sci. November 2012 Vol: 1(9): - [Abstract] [Full Text - PDF] (417 KB)
Maria Angela Orsi, Luciana Helena Antoniassi da Silva, Clarice Weis Arns and Tânia Rosária Pereira Freitas
Evolutive phylogenetic based on amino acids sequence surround the fusion protein cleavage site gene of Newcastle disease virus from field samples of surveillance program and vaccine strains in Brazil
Glo. Adv. Res. J. Agric. Sci. March 2018 Vol: 7(3): - [Abstract] [Full Text - PDF] (545 KB)

Current Issue

Viewing Options

View Full Article - PDF
Download Full Article - PDF

Search for Articles

Shumet Asefa on Google Scholar
Shumet Asefa on Pubmed

Statistics

Viewed 2370
Printed 586
Downloaded 1594
Powered By iPortal Works