A stochastic frontier analysis of technical efficiency in smallholder maize production in Zimbabwe: The post-fast-track land reform outlook

Mango, Nelson; Makate, Clifton; Hanyani-Mlambo, Benjamin T.; Siziba, Shephard; Lundy, Mark

doi:10.1080/23322039.2015.1117189

Cited by 71 publications

(75 citation statements)

References 21 publications

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“…This result is consistent with the expectation as well as the previous studies such as Mango et al (2015) and Latruffe et al (2004), which confirms the fact that extension service provides technical support, including practice on right input use, market information and training on improved farming techniques. The coefficient of the household size variable in efficiency model indicates that households with larger family size are more efficient in resource use.…”

Section: Determinants Of Profit Efficiencysupporting

confidence: 82%

“…Distance to market place might have impact on the access to information and agricultural technology and thus influences the level of efficiency (Thuo et al, 2014), since access to market encourage surplus production for market and also enhance access to agricultural inputs, it is expected to have positive impact on efficiency by minimizing the transaction costs (Latruffe et al, 2004). Participation in an extension program dummy, which is equals 1 if the farmers received extension service and 0 otherwise, is included to test the hypothesis that access to extension service improves efficiency (Kilic et al, 2009;Mango et al, 2015). Soil quality was included to test how the soil quality influences efficiency.…”

Section: Definition Of Variables Used In Efficiency Analysis and The mentioning

confidence: 99%

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Profit efficiency analysis among groundnut farmers from Malawi

Bocher¹,

Simtowe²

2017

J. Dev. Agric. Econ.

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This study analyzes the profit efficiency and its determinants in groundnut production, applying a stochastic profit frontier model on survey data collected from 400 groundnut growing households in Malawi. The result indicated that the inefficiencies in groundnut production hindered profitability in the sector. The profit efficiency ranged from 1% to 89% (with a mean of 45%). Significant association was observed between efficiency and both farm specific and institutional factors. Efficiency appeared to be significantly and positively associated with access to extension service (p<0.05), household size (p<0.05) and, soil quality (p<0.000). Distance to the local market from the homestead (p<0.000), and land size (p<0.000) allocated to groundnut production were found to reduce the profit efficiency. Maleheaded households, on the average were six percent more efficient compared to female headed households. The study indicated potential for increasing groundnut profitability by 55% by improving the access to extension services and markets, which underscores the need for increased resource allocation to support the delivery of extension services and to the improvement of market infrastructure for the enhancement of groundnut profitability.

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Section: Determinants Of Profit Efficiencysupporting

confidence: 82%

Section: Definition Of Variables Used In Efficiency Analysis and The mentioning

confidence: 99%

Profit efficiency analysis among groundnut farmers from Malawi

Bocher¹,

Simtowe²

2017

J. Dev. Agric. Econ.

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“…Female farmers also have relatively less access to productive resources like loan and land. The result is in agreement with the findings of [7] that gender was an important determinant of efficiency among smallholder maize farming communities in Zimbabwe.…”

Section: Resultssupporting

confidence: 83%

Technical efficiency in rain-fed maize production in Adamawa state Nigeria: Stochastic approach

Usman¹

2017

Engineering Journal

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“…The coefficients of frequency of extension contact and training were also found negative and significant at 1% level, indicating that having more frequent extension contact and participating in training activities could improve technical efficiency of farmers as extension agents provide information on technologies to farmers. Mango et al (2015) and Obare et al (2010) found similar results.…”

Section: Estimation Of Productivity Parameters and Determinant Factorssupporting

confidence: 77%

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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A stochastic frontier analysis of technical efficiency in smallholder maize production in Zimbabwe: The post-fast-track land reform outlook

Cited by 71 publications

References 21 publications

Profit efficiency analysis among groundnut farmers from Malawi

Profit efficiency analysis among groundnut farmers from Malawi

Technical efficiency in rain-fed maize production in Adamawa state Nigeria: Stochastic approach

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

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