Productive Efficiency of Potato and Melon Growing Farms  in Uzbekistan: A Two Stage Double Bootstrap Data  Envelopment Analysis

Karimov, Aziz

doi:10.3390/agriculture3030503

Cited by 15 publications

(12 citation statements)

References 19 publications

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“…This finding is similar to Karimov (2013) and Latruffe et al (2005) for the single bootstrap procedure. This result indicates that farms could be more inefficient if we used a confidence interval index rather than the single estimated point.…”

Section: Smooth Bootstrap Resultssupporting

confidence: 84%

“…This conclusion indicates that the technical inefficiency of maize and rice farms is mainly affected by management rather than the operating scale. This finding is similar to the result of Karimov (2013), which estimated the efficiency of www.ccsenet.org/jas Journal of Agricultural Science Vol. 7, No.…”

Section: Technical and Scale Efficienciessupporting

confidence: 90%

“…These results indicate that rice crops in Moc Chau and maize crops in Mai Son have much more efficient farmers in the sample. Karimov (2013) has suggested that authors must use bias-corrected efficiency scores to recommend policy. This suggestion is based on the distance between the initial and bias-corrected TE.…”

Section: Smooth Bootstrap Resultsmentioning

confidence: 99%

“…Crop production is affected by many exogenous factors, such as household characteristics, household assets, extensions, and weather. Moreover, farms operating at optimal scale are assumed in constant return to scale (CRS) technical efficiency (Karimov, 2013). Therefore, this study selected the technical efficiency under variable return to scale (VRS) to become dependent variables in the Tobit model.…”

Section: Variables Explaining the Efficiency Estimatesmentioning

confidence: 99%

See 3 more Smart Citations

Productive Efficiency of Crop Farms in Viet Nam: A DEA with a Smooth Bootstrap Application

Linh¹,

Nanseki²,

Chomei³

2015

JAS

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Rice and maize are the two most important annual crops in Viet Nam. Rice production is sufficient for self-consumption and exportation, whereas maize production is insufficient and must be imported because of the growing feed industry. In Son La, the largest area in the Northwest with the greatest production of maize, maize is cultivated continuously all year, whereas paddy rice is cultivated mostly in the spring. To our knowledge, this article is the first study to estimate farm-level technical and scale efficiencies and to identify the factors influencing them. This study first applied a standard and smooth bootstrap DEA method to estimate the technical and scale efficiencies, then used a Tobit regression method to identify factors influencing these efficiencies among farms. The results showed that the opportunity for both technical and scale inefficiencies of maize and rice crops is insignificant. Findings from the second stage indicated that the age of the head of household, the numbers of family, the national electricity source, the distance to the nearest market, and the access to credit, extension services and milling machines are the main factors affecting the technical and scale efficiencies of rice and maize crops. The findings suggest continuing improvement of management, co-operation in cultivation, crop diversity and optimal use rice plots. The results also recommend expanding the national electricity source, emphasizing policies for adjusting customs and knowledge, using credit in appropriate ways and continuing to enhance extension services.

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Section: Smooth Bootstrap Resultssupporting

confidence: 84%

Section: Technical and Scale Efficienciessupporting

confidence: 90%

Section: Smooth Bootstrap Resultsmentioning

confidence: 99%

Section: Variables Explaining the Efficiency Estimatesmentioning

confidence: 99%

See 2 more Smart Citations

Productive Efficiency of Crop Farms in Viet Nam: A DEA with a Smooth Bootstrap Application

Linh¹,

Nanseki²,

Chomei³

2015

JAS

View full text Add to dashboard Cite

show abstract

“…Wadud and White () point out that the choice of methodology must be based on the available data and the question under investigation. Usually there is no common way in the choice of particular method and is decided in a case by case merit (Karimov, ). In this study, we adopt a DEA framework.…”

Section: Methodsmentioning

confidence: 99%

Processor Linkages and Farm Household Productivity: Evidence from Dairy Hubs in East Africa

et al. 2017

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Linking smallholder farmers to large enterprises could be a powerful mechanism to improve input and output markets as well as other productivity-enhancing services for liquidity constrained smallholders. Dairy hubs promoted by East African Dairy Development project are collective farmer-owned milk bulking and/or chilling plants through which farmers get access to output markets and inputs as well as other services necessary for their dairy enterprises. The hubs act as a linkage between large processors and smallholder dairy farmers. They enable farmers to supply milk to large dairy processors who are emerging key players in the East African dairy industry. In addition to the different forms of linkages with large processors, these hubs also differ in their level of growth toward sustainability. In light of this background, this work aims to provide evidence on the effects, at farm level, of different types of linkages between smallholder dairy farmers and large processors through dairy hubs. The study uses cross-sectional survey data collected from 993 smallholder livestock keeping households living within the dairy hubs' catchment areas in Kenya and Uganda. Statistical tests on technical efficiency estimates from dairy farm enterprises were conducted in order to provide evidence of the effects of the types of processor linkages on the performance of the dairy farm enterprises. The results provide evidence of no strong influence at farm levels that can be attributed to different forms of linkages with processor that dairy hubs adopt. Moreover, though hub sustainability is directly linked to the producer organization's efficiency level, our results show that it does not sufficiently translate to more productive farmers. These findings call for concerted efforts by development agents in the dairy sector, policy makers, and even large processors to intervene in order to support improved farm performance. As evident from the study, one direct policy tool at the disposal of these agents is extension messages. [EconLit citations D24; L25; Q12]. C

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RETRACTED ARTICLE: Measuring the technical efficiency of rice farmers in Chiang Mai province, Thailand

et al. 2022

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Productive Efficiency of Potato and Melon Growing Farms in Uzbekistan: A Two Stage Double Bootstrap Data Envelopment Analysis

Cited by 15 publications

References 19 publications

Productive Efficiency of Crop Farms in Viet Nam: A DEA with a Smooth Bootstrap Application

Productive Efficiency of Crop Farms in Viet Nam: A DEA with a Smooth Bootstrap Application

Processor Linkages and Farm Household Productivity: Evidence from Dairy Hubs in East Africa

RETRACTED ARTICLE: Measuring the technical efficiency of rice farmers in Chiang Mai province, Thailand

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