Productivity and Efficiency Analysis of Smallholder Maize Producers in Southern Ethiopia

Geta, Endrias; Bogale, Ayalneh; Kassa, Belay; Elias, Eyasu

doi:10.1080/09709274.2013.11906554

Cited by 58 publications

(60 citation statements)

References 3 publications

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“…This implies that farmers who have allocated fertile land for wheat production were more technically and economically efficient than their counterparts. This result is consistent with the empirical findings of (Fekadu and Bezabih, 2008;Awol, 2014;Mekonnen et al, 2015;Assefa, 2016). Frequency of extension contact had significant and positive effect on technical efficiency at 5%, allocative and economic efficiencies at 1% significance level, respectively.…”

Section: Determinants Of Efficiencysupporting

confidence: 91%

“…Hence, improvement in the level of efficiency will increase productivity by enabling farmers to produce the maximum possible output from a given level of inputs with the existing level of technology Many researchers, in different sectors, have done many efficiency estimation studies in Ethiopia. However, the majority of farm efficiency studies are limited to technical efficiency (Fekadu and Bezabih, 2008;Yami et al, 2013;Beshir, 2016;Kelemu and Negatu, 2016;Assefa, 2016;Tiruneh and Geta, 2016). But, focusing only on technical efficiency (TE) understates the benefits that could be derived by producers from improvements in overall performance.…”

Section: Introductionmentioning

confidence: 99%

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Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Western Ethiopia

ASFAW¹

2019

RAAE

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Yield enhancement through increasing efficiency in cereal production in general and in wheat production in particular could be an important way towards achieving food security. This study was aimed at estimating the levels of technical, allocative and economic efficiencies of smallholder wheat producers; and to identify factors affecting efficiency of smallholder farmers in wheat production. A two stages sampling technique was used to select 152 sample farmers to collect primary data pertaining of 2016/17 production year. Both primary and secondary data sources were used for this study. Stochastic production frontier approach and two limit Tobit model was employed. The stochastic production frontier model indicated that input variables such as mineral fertilizers, land and seed were the significant inputs to increase the quantity of wheat output. The estimated mean values of technical, allocative and economic efficiency were 78, 80 and 63% respectively, which indicate the presence of inefficiency in wheat production in the study area. A twolimit Tobit model result indicated that technical efficiency positively and significantly affected by sex of the household head, education, extension contact, off/non-farm activity and soil fertility but negatively affected by land fragmentation. Similarly, age, education, extension contacts and off/non-farm activity positively and significantly affected allocative efficiency. In addition, economic efficiency positively and significantly affected by sex, age, education, extension contact, off/non-farm activity and soil fertility. The policy measures derived from the results include: expansion of education, strengthening the existing extension services, establish and/or strengthening the existing off/non-farm activities and strengthening soil conservation practices in the study area.

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Section: Determinants Of Efficiencysupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Western Ethiopia

ASFAW¹

2019

RAAE

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“…Education enables farmers to better access to, understand and interpret agricultural information to adopt technologies and use them more efficiently. Tiruneh and Geta (2016), Geta et al (2013), Yami et al (2013), and Asogwa et al (2012) reported similar results. The result shows that distance to all weather roads affected technical efficiency of barley farmers positively and significantly at 1% significance level against the priori expectation, indicating that farmers living far from allweather roads operate efficiently than the roadside residents.…”

Section: Estimation Of Productivity Parameters and Determinant Factorssupporting

confidence: 72%

“…Following Aigner et al (1977), the translog production function has been used recently by many studies to estimate technical inefficiency (Tiruneh and Geta, 2016;Geta et al, 2013;Yami et al, 2013;Beshir et al, 2012). Moreover, the uses of different functional forms have a distinct but small impact on estimated efficiency (Kopp and Smith, 1980).…”

Section: Model Specificationmentioning

confidence: 99%

Technical efficiency of smallholder barley farmers: The case of Welmera district, Central Oromia, Ethiopia

Getahun¹,

Geta²

2017

Afr. J. Agric. Res.

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Crop production and productivity are not only inevitably affected by level of adoption of improved technologies and external factors but also the technical efficiencies of producers. The main objectives of this study are to estimate technical efficiency of sample barley farmers, assess determinant factors and compute yield loss due to inefficiency. Plot level data from 180 barley growers were collected through three stage systematic random sampling procedures. A one-step maximum likelihood was used to estimate stochastic frontier translog production function to determine the level of technical efficiency and its determinant factors. The estimated value of technical efficiency ranges from 0.11 to 0.99 with an average of 0.53 allowing inefficiency gap of 0.47 indicating the opportunity to increase barley output by 47% by using the same inputs mix and existing technology. The study found sex, age and education level of the household head, distance to all weather roads, credit service, group membership, extension contact, training, plot fragmentation, tenure status, and investment in fertilizers significantly impact technical efficiency. The result suggests the need to involve female headed households into extension and trainings, increase the education level of households through informal and formal literacy, inspire household membership into farmers' groups and enable them to share best practices from model and more experienced farmers, inspire barley producers to invest on fertilizers and strengthen rural micro finance institutions to provide credit at some reasonable costs.

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“…Thipbharos (2013);Wassie (2012); (Geta et al, 2013) stated that Tobit regression is a model which was developed by Tobin in 1958 that used for deciding the efficiency factors by using two techniques of estimation and translog production function. Ray (1991) and Worthington & Dollery (1999) measured technical efficiency factors by using DEA to predict the value of technical efficiency, and Tobit regression with econometrica equation.…”

Section: Introductionmentioning

confidence: 99%

Factors That Influence Technical Efficiency of Organic Rice in Sumberngepoh Village, Lawang District, Malang Regency

Narendar

Syafrial

Hanani

2018

AGRISE

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Abstract:The production and productivity of organic paddy tends to lower than non organic paddy. The constraints for production and productivity of organic paddy are the gap of transition period of conventional to organic farming and the huge influence of input usage. The technical efficiency concept is the suitable choice to determine the minimum input that farmer obtained to certain outputs. There are some factors that can influence farmers in decision making for using input. The purposes of this research were to analyze factors that influence the efficiency of organic paddy farming technique in Sumberngepoh Village. The research was conducted at Gapoktan (farmers group) "Sumber Mulyo" in Sumberngepoh Village, Lawang Sub District, Malang District with 45 samples of farmer. The data used in this research was data of farming during rainy season of 2016-2017. The data was analyzed by using Tobit regression. The result showed that the factors which influence and gave significantly positive towards farming efficiency technique were participation of field school, field control by farmers group, planting method and planting seasons.

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Productivity and Efficiency Analysis of Smallholder Maize Producers in Southern Ethiopia

Cited by 58 publications

References 3 publications

Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Western Ethiopia

Economic Efficiency of Smallholder Farmers in Wheat Production: The Case of Abuna Gindeberet District, Western Ethiopia

Technical efficiency of smallholder barley farmers: The case of Welmera district, Central Oromia, Ethiopia

Factors That Influence Technical Efficiency of Organic Rice in Sumberngepoh Village, Lawang District, Malang Regency

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