Technology gap in sheep farms in Türkiye
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://doi.org/10.37496/rbz5220230022 https://locus.ufv.br//handle/123456789/31695 |
Resumo: | The objective of this study was to spatially estimate the technical efficiency of sheep farms and explore the factors affecting the technical efficiency. Research data were collected randomly from 328 selected sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa provinces in Türkiye. The metafrontier technical efficiencies (MTE) were estimated by using a stochastic meta-frontier production model. The meta-frontier technology ratio (MTR) was used to calculate the distance from the individual frontier to the meta-frontier. The determinants of technical efficiency were explored by using the two-limit Tobit model. Research results showed that the technical efficiency level of sheep farms varied spatially. The MTE of sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa were 0.45, 0.24, 0.25, 0.36, 0.42, and 0.21, respectively. The MTR was the highest in Konya, while the smallest was in Sanliurfa. Research results also showed that the variables of family size, education level of the operator, liquidity, return on asset, and information on sheep breeding positively affected the technical efficiency level of sheep farms. In contrast, total capital and farmland were negatively affected. The study suggests strengthening the economic viability of sheep farms and increasing their knowledge of sheep breeding to increase the technical efficiency level of sheep farms. |
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Canan, Selime2023-10-26T22:19:12Z2023-10-26T22:19:12Z2023-10-26CANAN, S. Technology gap in sheep farms in Türkiye. Revista Brasileira de Zootecnia, v. 52, p. 01-12, 2023. DOI: 10.37496/rbz52202300221806-9290https://doi.org/10.37496/rbz5220230022https://locus.ufv.br//handle/123456789/31695https://doi.org/10.37496/rbz5220230022The objective of this study was to spatially estimate the technical efficiency of sheep farms and explore the factors affecting the technical efficiency. Research data were collected randomly from 328 selected sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa provinces in Türkiye. The metafrontier technical efficiencies (MTE) were estimated by using a stochastic meta-frontier production model. The meta-frontier technology ratio (MTR) was used to calculate the distance from the individual frontier to the meta-frontier. The determinants of technical efficiency were explored by using the two-limit Tobit model. Research results showed that the technical efficiency level of sheep farms varied spatially. The MTE of sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa were 0.45, 0.24, 0.25, 0.36, 0.42, and 0.21, respectively. The MTR was the highest in Konya, while the smallest was in Sanliurfa. Research results also showed that the variables of family size, education level of the operator, liquidity, return on asset, and information on sheep breeding positively affected the technical efficiency level of sheep farms. In contrast, total capital and farmland were negatively affected. The study suggests strengthening the economic viability of sheep farms and increasing their knowledge of sheep breeding to increase the technical efficiency level of sheep farms.engBrazilian Journal of Animal Sciencev. 52, p. 01-12, 2023Creative Commons Attribution Licenseinfo:eu-repo/semantics/openAccessEfficiency determinantsMeta-frontier technical efficienciesMetatechnology ratioSheepTechnology gap in sheep farms in Türkiyeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINAL1806-9290-rbz-52-e20230022.pdf1806-9290-rbz-52-e20230022.pdfartigoapplication/pdf726791https://locus.ufv.br//bitstream/123456789/31695/1/1806-9290-rbz-52-e20230022.pdf77124af98681956f760833956149f87dMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/31695/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/316952023-10-26 19:19:13.166oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452023-10-26T22:19:13LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
Technology gap in sheep farms in Türkiye |
title |
Technology gap in sheep farms in Türkiye |
spellingShingle |
Technology gap in sheep farms in Türkiye Canan, Selime Efficiency determinants Meta-frontier technical efficiencies Metatechnology ratio Sheep |
title_short |
Technology gap in sheep farms in Türkiye |
title_full |
Technology gap in sheep farms in Türkiye |
title_fullStr |
Technology gap in sheep farms in Türkiye |
title_full_unstemmed |
Technology gap in sheep farms in Türkiye |
title_sort |
Technology gap in sheep farms in Türkiye |
author |
Canan, Selime |
author_facet |
Canan, Selime |
author_role |
author |
dc.contributor.author.fl_str_mv |
Canan, Selime |
dc.subject.eng.fl_str_mv |
Efficiency determinants Meta-frontier technical efficiencies Metatechnology ratio Sheep |
topic |
Efficiency determinants Meta-frontier technical efficiencies Metatechnology ratio Sheep |
description |
The objective of this study was to spatially estimate the technical efficiency of sheep farms and explore the factors affecting the technical efficiency. Research data were collected randomly from 328 selected sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa provinces in Türkiye. The metafrontier technical efficiencies (MTE) were estimated by using a stochastic meta-frontier production model. The meta-frontier technology ratio (MTR) was used to calculate the distance from the individual frontier to the meta-frontier. The determinants of technical efficiency were explored by using the two-limit Tobit model. Research results showed that the technical efficiency level of sheep farms varied spatially. The MTE of sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa were 0.45, 0.24, 0.25, 0.36, 0.42, and 0.21, respectively. The MTR was the highest in Konya, while the smallest was in Sanliurfa. Research results also showed that the variables of family size, education level of the operator, liquidity, return on asset, and information on sheep breeding positively affected the technical efficiency level of sheep farms. In contrast, total capital and farmland were negatively affected. The study suggests strengthening the economic viability of sheep farms and increasing their knowledge of sheep breeding to increase the technical efficiency level of sheep farms. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-10-26T22:19:12Z |
dc.date.available.fl_str_mv |
2023-10-26T22:19:12Z |
dc.date.issued.fl_str_mv |
2023-10-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CANAN, S. Technology gap in sheep farms in Türkiye. Revista Brasileira de Zootecnia, v. 52, p. 01-12, 2023. DOI: 10.37496/rbz5220230022 |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.37496/rbz5220230022 https://locus.ufv.br//handle/123456789/31695 |
dc.identifier.issn.none.fl_str_mv |
1806-9290 |
dc.identifier.doi.pt-BR.fl_str_mv |
https://doi.org/10.37496/rbz5220230022 |
identifier_str_mv |
CANAN, S. Technology gap in sheep farms in Türkiye. Revista Brasileira de Zootecnia, v. 52, p. 01-12, 2023. DOI: 10.37496/rbz5220230022 1806-9290 |
url |
https://doi.org/10.37496/rbz5220230022 https://locus.ufv.br//handle/123456789/31695 |
dc.language.iso.fl_str_mv |
eng |
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eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
v. 52, p. 01-12, 2023 |
dc.rights.driver.fl_str_mv |
Creative Commons Attribution License info:eu-repo/semantics/openAccess |
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Creative Commons Attribution License |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Brazilian Journal of Animal Science |
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Brazilian Journal of Animal Science |
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