Crop producers’ technical efficiency and its determinants in Gurage zone, Ethiopia: A comparative analysis using rural-urban migration as a parameter

Agza, Mesfin; Alamirew, Bamlaku; Shibru, Admasu

doi:10.1080/23311886.2021.1995996

Cited by 5 publications

(3 citation statements)

References 27 publications

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“…The coefficient of education is positive and significant, and this may be because better-educated farmers are more likely to participate in off-farm employment. This finding is in harmony with studies conducted by (Agza et al, 2021;Ndubueze-ogaraku et al, 2021). While the use of row planting significantly reduces technical inefficiency, the number of plots that show the level of land fragmentation is positively and significantly related to the technical inefficiency of teff.…”

Section: Estimation Results Of Stochastic Frontier Modelsupporting

confidence: 85%

“…Age and education of household head are both continuous and measured in years. Studies conducted by(Agza et al, 2021;Ndubueze-ogaraku et al, 2021) found that the age and education level of the household head is positively and significantly related to technical inefficiency. But a study conducted by…”

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confidence: 99%

“…Regarding the functional forms of the output function and the inefficiency function, this study employed the Cobb-Douglas production function for the output function and the truncated normal function for the inefficiency equation. Many previous studies have also used the Cobb-Douglass production function (Belete 2020; Ayele and Tarekegn 2021), and the Cobb-Douglass production function is easy to analyze, interpret, and include multiple inputs(Agza et al, 2021).…”

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confidence: 99%

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Impact of Rural Out-Migration on Technical Efficiency of Wheat and Teff Producers in Southern Ethiopia

Eshetu

Haji

Ketema

et al. 2022

Preprint

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This study examined the impact of rural out-migration on the technical efficiency of producers using the new economics labor migration theory as a theoretical framework, and the multinomial endogenous switching regression as an analytical framework. Primary data were gathered from a random sample of 415 rural households in southern Ethiopia. Descriptive results showed that most of the migrants are young, better educated, unmarried, and male migrants. The mean technical efficiency of wheat and teff are 83 and 66 percent respectively. The average treatment effect on treated and untreated are − 5.51 and − 4.14 respectively for teff producers, and significant at 1 percent. The base heterogeneities for participation in rural-urban migration are 4.10 and 3.09 for wheat and teff producers respectively whereas the base heterogeneities for participation in international migration are 12.85 and 14.24 for wheat and teff producers respectively. Besides, the base heterogeneities for non-participation in international migration are 14.6 and 21.25 for wheat and teff producers respectively. Hence, rural out-migration significantly reduces crop technical efficiency, and the finding supports the lost labor hypothesis of the new economics labor migration theory. Promoting productivity, off-farm activity, and provision of public goods would reduce labor out-migration in southern Ethiopia.

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Section: Estimation Results Of Stochastic Frontier Modelsupporting

confidence: 85%

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confidence: 99%

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