Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis

Dhungana, Basanta R.; Nuthall, Peter L.; Nartea, Gilbert V.

doi:10.1111/j.1467-8489.2004.00243.x

Cited by 162 publications

(114 citation statements)

References 69 publications

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“…The positive effect of producer age on technical inefficiency suggests that younger farmers are more likely to be technically efficient than their older counterparts. This is consistent with the findings of Dhungana et al (2004) who showed that, in Nepalese rice farms, younger farmers may be more willing to adopt new technologies and/or to have a stronger educational background. The households that had a higher number of family members performed better in terms of technical efficiency.…”

Section: Truncated Bootstrap Analysis Of Sources Of Inefficiencysupporting

confidence: 81%

“…Furthermore, the results indicate that formal education and additional years of management experience resulted in lower technical inefficiency. This implies that increasing investment in formal and informal education might lead to better performance in the agricultural sector (Dhungana et al 2004) and that education and experience are substitutes and play a significant role in the level of technical inefficiency. The positive effect of producer age on technical inefficiency suggests that younger farmers are more likely to be technically efficient than their older counterparts.…”

Section: Truncated Bootstrap Analysis Of Sources Of Inefficiencymentioning

confidence: 99%

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Lowland farming system inefficiency in Benin (West Africa): directional distance function and truncated bootstrap approach

Singbo

Lansink

2010

Food Sec.

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This paper uses a directional distance function and a single truncated bootstrap approach to investigate inefficiency of lowland farming systems in the Benin Republic. First, we employed a dual approach to estimate and decompose short-run profit inefficiency of each farming system into pure technical, allocative and scale inefficiency and also into input and output inefficiency. Second, an econometric analysis of factors affecting the inefficiency was generated using a single truncated bootstrap procedure to improve inefficiency analysis statistically and obtain consistent estimates. In the short run, scale, allocative and output inefficiency were found to be the main sources of inefficiency. Based on inefficiency results, the inefficiency of lowland farming systems is the most diverse. Compared to a vegetable farming system, technical inefficiency is significantly higher if farmers switch to a rice farming system. Scale, allocative, output, and input inefficiency are significantly lower with an integrated ricevegetable farming system and there was high prevalence of increasing returns to scale in the integrated rice-vegetable farming system. Water control and lowland farming systems are complements and play a significant role in the level of inefficiency. Input inefficiency shows the difficulty that the producers face in adjusting the quality and quantity of seeds and fertilizers. The paper provides empirical support for efforts to promote an integrated rice-vegetable farming system in West Africa lowlands to increase food security.

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Section: Truncated Bootstrap Analysis Of Sources Of Inefficiencysupporting

confidence: 81%

Section: Truncated Bootstrap Analysis Of Sources Of Inefficiencymentioning

confidence: 99%

Lowland farming system inefficiency in Benin (West Africa): directional distance function and truncated bootstrap approach

Singbo

Lansink

2010

Food Sec.

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show abstract

“…A possible explanation of the positive coefficienct of experiece could be that the farmers have more valuable experience by hands-on learning and tends to affect use of inputs efficienctly. The results of this study are consistent with the findings of the study conducted by [6,20,[23][24][25][26].…”

Section: Resultssupporting

confidence: 83%

Determinants of technical efficiency among cash-crop producers: Evidence from East Malaysia

MohdIdris¹,

Siwar²,

Talib³

2014

IOSRJHSS

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“…Such variables are termed as two-sided censored variables. The most frequently used method to predict the values of such variables is the two-limit tobit regression model [17,28,[44][45][46]. In our case, the dependent variable represents a proportion, which requires that there should not be an excessive amount of censoring (values of zero and one).…”

Section: Determinants Of Allocative Efficiency-two-limit Tobit Regresmentioning

confidence: 99%

Levels of Technical, Allocative, and Groundwater Use Efficiency and the Factors Affecting the Allocative Efficiency of Wheat Farmers in Pakistan

et al. 2018

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Abstract:In Pakistan, excessive lowering of the groundwater table has made crop irrigation costlier and without improving production efficiency, Pakistan's rural economy will be adversely affected. This study estimated the technical, allocative, and groundwater use efficiency of wheat producers, identified the factors affecting their allocative efficiency, and suggested policy implications from these results. The data were collected from 84 tubewell owners, 65 tubewell shareholders, and 75 water buyers. The technical, allocative, and groundwater use efficiency were estimated by the Data Envelopment Analysis (DEA) method, and the important factors affecting the allocative efficiency were identified by two-limit tobit regression analysis. The results highlighted that the tubewell owners, tubewell shareholders, and water buyers had above 90% technical and groundwater use efficiency. However, allocative efficiency was substantially lower for all groups, indicating that wheat production costs could be significantly reduced by the optimal allocation of inputs. The allocative efficiency of wheat farmers decreased significantly with the increasing capacity of the tubewells, with the sharing of tubewells, and with the use of tractor-operated tubewells. The results imply that wheat farmers should be provided with technical and decision-making support to select an appropriate tubewell system that minimises their cost of production and improves their allocative efficiency. Furthermore, the resource allocation system of tubewell shareholders should be further studied to improve the allocative efficiency of wheat farmers.

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Measuring the economic inefficiency of Nepalese rice farms using data envelopment analysis

Cited by 162 publications

References 69 publications

Lowland farming system inefficiency in Benin (West Africa): directional distance function and truncated bootstrap approach

Lowland farming system inefficiency in Benin (West Africa): directional distance function and truncated bootstrap approach

Determinants of technical efficiency among cash-crop producers: Evidence from East Malaysia

Levels of Technical, Allocative, and Groundwater Use Efficiency and the Factors Affecting the Allocative Efficiency of Wheat Farmers in Pakistan

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