Evaluating technical efficiency of hair goat farms in Turkey: the case of Mersin Province

Tümer, Emine İkikat; Ağır, Hasan Burak; Aydoğan, İlknur

doi:10.1007/s11250-020-02407-2

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…Effective use of scarce resources used in production is very important to ensure the sustainability of farms. There are studies on efficiency in farms, aiming to contribute to the more efficient operation of farms (Thiombiano, 2017;Oğuz and Yener, 2018;Hajihassaniasl, 2019;Oğuz and Yener, 2019;Kaur and Bhaskar, 2020;Tümer et al, 2020;Parlakay and Çimrin, 2021). In the globalizing world, the optimum use of scarce resources is becoming an increasingly important issue.…”

Section: Introductionmentioning

confidence: 99%

Konya İli (Çumra İlçesi) Mısır Üretiminde Etkinlik Analizi ve Etkinliğe Etki Eden Faktörlerin Belirlenmesi

YENER,

ÖZAYDIN

2023

Türk Tarım Ve Doğa Bilimleri Dergisi

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The study aims to determine the efficiency of input use and to analyze the factors affecting technical efficiency in farms producing maize. Maize is among the most cultivated cereals in the world. Konya, on the other hand, ranks first in Turkey with a 10% share in maize production. The research area of Cumra district, which constitutes 15.76% of the maize production in Konya province, has been selected according to the purposive sampling method. In the study, the sample volume was determined as 77, with a 95% confidence interval and a 5% margin of error, according to the stratified sampling method. In the study, linear regression analysis was carried out to determine the factors affecting the technical efficiency of maize producers. According to the results of the research, gross production value (USD), total land size (ha), and age were found to be statistically significant at the 5% significance level. Variable costs and education were statistically significant at the 10% significance level. The DEA method, which is a non-parametric method, was used to determine the technical efficiency and scale efficiency of farms under the assumption of technical efficiency, VRS, and CRS. Farms should be informed about the optimum use of inputs. In addition, a farmer training program to be organized on this subject should be given to the farmers.

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Section: Introductionmentioning

confidence: 99%

Konya İli (Çumra İlçesi) Mısır Üretiminde Etkinlik Analizi ve Etkinliğe Etki Eden Faktörlerin Belirlenmesi

YENER,

ÖZAYDIN

2023

Türk Tarım Ve Doğa Bilimleri Dergisi

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“…The issues of achieving technical efficiency and controlling efficiency determinants require urgent solutions. Up to now, some studies have been conducted related to the technical efficiency of sheep farms (Fousekis et al, 2001;Galanopoulos et al, 2011;Cannas et al, 2019;İkikat Tümer et al, 2020;Yilmaz and Gül, 2021). However, previous studies have ignored the spatial differentiation in technical efficiency scores when analyzing production efficiency.…”

Section: Introductionmentioning

confidence: 99%

Technology gap in sheep farms in Türkiye

Canan

2023

Revista Brasileira De Zootecnia

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Animal production systems and agribusinessFull-length research article Technology gap in sheep farms in TürkiyeABSTRACT -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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Characterization of dairy goat production systems using autochthonous breeds in Andalusia (Southern Spain): Classification and efficiency comparative analysis

Morales‐Jerrett

Guerrero²,

Camúñez-Ruíz³

et al. 2022

Small Ruminant Research

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Evaluating technical efficiency of hair goat farms in Turkey: the case of Mersin Province

Cited by 6 publications

References 23 publications

Konya İli (Çumra İlçesi) Mısır Üretiminde Etkinlik Analizi ve Etkinliğe Etki Eden Faktörlerin Belirlenmesi

Konya İli (Çumra İlçesi) Mısır Üretiminde Etkinlik Analizi ve Etkinliğe Etki Eden Faktörlerin Belirlenmesi

Technology gap in sheep farms in Türkiye

Characterization of dairy goat production systems using autochthonous breeds in Andalusia (Southern Spain): Classification and efficiency comparative analysis

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