Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30752
Title: A metafrontier analysis of determinants of technical efficiency in beef farm types: an application to Botswana
Contributor(s): Bahta, Sirak (author); Baker, Derek  (author)orcid ; Malope, Patrick (author); Katjiuongua, Hikuepi (author)
Publication Date: 2015
Open Access: Yes
DOI: 10.22004/ag.econ.211194Open Access Link
Handle Link: https://hdl.handle.net/1959.11/30752
Abstract: The study used a stochastic metafrontier model followed by a Tobit regression model to estimate technical efficiency and meta-technology ratios and assess factors influencing efficiency of a suite of beef farm types in Botswana. Results show that the average technical efficiency level is 0.496 for the whole sample and 0.355, 0.463 and 0.571 for beef farms who engage in cattle only, cattle and crop, and cattle, crop and small stock farming, respectively. Considerable scope is identified for improving beef production in Botswana, and targeting is enabled by the differential results across the farm types. Policy analysis using models that assume different beef farm types operate under similar technology are therefore presenting a misleading picture. Considering the importance of livestock sector in poverty reduction, there is a need for appropriate policies directed towards enhancing efficiency. Especially, such policies should be targeted on provision of technology-related services such as controlled breeding methods.
Publication Type: Conference Publication
Conference Details: ICAE 2015: 29th International Conference of Agricultural Economists, Milan, Italy, 8th - 14th August, 2015
Source of Publication: International Conference of Agricultural Economists: Agriculture in an Interconnected World, p. 1-32
Publisher: International Association of Agricultural Economists (IAAE)
Place of Publication: Milan, Italy
Fields of Research (FoR) 2008: 140201 Agricultural Economics
080609 Information Systems Management
140209 Industry Economics and Industrial Organisation
Fields of Research (FoR) 2020: 380101 Agricultural economics
460908 Information systems organisation and management
380109 Industry economics and industrial organisation
Socio-Economic Objective (SEO) 2008: 919999 Economic Framework not elsewhere classified
Socio-Economic Objective (SEO) 2020: 159999 Other economic framework not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: www.icae2015.org
Appears in Collections:Conference Publication
UNE Business School

Files in This Item:
4 files
File Description SizeFormat 
Show full item record

Page view(s)

1,888
checked on Sep 24, 2023

Download(s)

22
checked on Sep 24, 2023
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.