Measuring technical efficiency of urban farms in Uyo metropolis

Etim, Nsikak-Abasi A.; Udoh, Edet J.; Awoyemi, Taiwo Timothy

doi:10.4314/gjass.v4i1.2248

Cited by 10 publications

(11 citation statements)

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“…This predominant cropping system is attributable to the farm size of the respondents; hence most farms combined cultivation of sweet potato production with other crops so as to maximize a variety of farm output relative to their small farm holdings in the study area. This result agrees with the findings in a study carried out by Amaza, 2007 andEtim et al, 2005 on farmer's demography.…”

Section: Socioeconomic Characteristics Of Sweet Potato Farmerssupporting

confidence: 93%

“…The efficiency, with which farmers use available resources and improved technologies, is important in agricultural production (Rahji, 2005). The efficient use of farm resources is germane for agricultural sustainability (Goni et al, 2013) and a prerequisite for optimum farm production since inefficiency in resource use can distort food availability and security (Etim et al, 2005). Efficiency measurement is germane in production studies.…”

Section: Stochastic Frontier Productionmentioning

confidence: 99%

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Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

Onuwa

Folorunsho

Binuyo

et al. 2021

Turkish JAF Sci.Tech.

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The level of yield among sweet potato farmers is on a decline; low output and yield differences was observed, indicating the existence of inefficiency in production systems and variations in input utilization. Efficiency in resource use must be sustained in order to improve productivity and maximize farm output. This study therefore analyzed the technical efficiency of sweet potato production. Multi-stage sampling techniques were adopted in selecting 94 respondents for this study. Data collected was analyzed using descriptive statistics and stochastic frontier production function. The socioeconomic variables of the respondents affected their farm efficiency and level of farm output. The estimated ratio of the L/R test was 0.579; indicating a goodness of fit of the frontier model and thus a rejection of the null hypothesis. The coefficients of sweet potato seeds (vines) (0.362) and labour (0.439) were positive and statistically significant at 5% level of probability, while the coefficients of farm size (-1.333), fertilizer (-0.452) and herbicides (-0.766) were negative but statistically significant at 5% level of probability. The inefficiency model revealed that the coefficient of farm capital (-0.172), education (-2.281), access to credit (-0.472), farming experience (-0.639), extension contact (-0.733) and membership of cooperatives (-0.396) were negative and statistically significant at 5% level of probability. The mean technical efficiency was 0.62 (62%) implying that the sweet potato farmers in the study area were not producing at optimal capacity. The constraints identified significantly affected sweet potato production in the study area. Subsidizing input costs; sensitizing farmers on appropriate farming practices, cooperative formation and efficiency in resource utilization; improving access to agricultural inputs, technology, farm capital, credit and extension services, market linkages, farm labour supply and the development of indigenous technologies in sweet potato production are strongly recommended.

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Section: Socioeconomic Characteristics Of Sweet Potato Farmerssupporting

confidence: 93%

Section: Stochastic Frontier Productionmentioning

confidence: 99%

Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

Onuwa

Folorunsho

Binuyo

et al. 2021

Turkish JAF Sci.Tech.

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“…The statistics on age and educational level are indications that the producers are within an active and productive age group, and have acquired some levels of formal education. The vast majority of producers of waterleaf are women who, according to Udoh (1999) and Etim et al (2005) supplement the family income with small-scale production. Income of C89,200.00 (C975.99/m 2 ) indicates substantial profit from waterleaf production.…”

Section: Resultsmentioning

confidence: 99%

“…From the distribution, the most efficient producer in terms of resource use has an efficiency index of 0.97 and the least efficient an index of 0.04. None of the producers produced the maximum output possible indicating that producers encountered problems they were not able to completely overcome, and which could include technical production constraints and socioeconomic and/or environmental factors (Udoh, 2000;Etim et al, 2005). In subsistence farming resources are mostly allocated to various uses on the basis of their shadow values, which is the amount by which the contribution could be increased if one extra unit of the resource could be used, thereby preventing the producers from reaching the maximum production efficiency (Parikh et al, 1995;Ali, 1996;Udoh and Akintola, 2001a;Udoh, 2005).…”

Section: Maximum Likelihood (Ml) Estimates and Inefficiencymentioning

confidence: 99%

Estimating Technical Efficiency of Waterleaf Production in a Tropical Region

Udoh

Etim

2007

Journal of Vegetable Science

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Information on economics of production of minor vegetables is largely limited. This is the case for waterleaf [Talinum triangulare (Jacq). Wild]. Farm-level, output-oriented technical efficiency indices were estimated by fitting stochastic production frontier functions to survey data collected from waterleaf producers. By use of the Maximum Likelihood analysis, asymptotic parameter estimates were evaluated to describe efficiency determinants. The most critical production factors were labor, irrigation, and use of organic manure. The mean efficiency term, 0.65, indicates that waterleaf output could be increased with available technology. Some socioeconomic factors were evaluated to determine their influences on the ability of producers to be E. J. Udoh and N. A. Etim are affiliated with the

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“…This trend may not be unconnected with inefficiency of use resourced and other allocations (Nwosu and Okoli, 2010). It may therefore, be important for yam farmers to manage the little resources at their disposal optimally for increased yield and sustainability of yam production, (Udoh and Akintola 2001;Etim et al, 2005;Udoh and Etim, 2007).…”

Section: Introductionmentioning

confidence: 99%

Effect of rainfall variation on yam production in Kuta, Shiroro Local Government area of Niger State, Nigeria

I¹,

E.K²,

E³

2014

IOSRJESTFT

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Measuring technical efficiency of urban farms in Uyo metropolis

Cited by 10 publications

References 0 publications

Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

Technical Efficiency of Sweet Potato Production: A Stochastic Frontier Analysis

Estimating Technical Efficiency of Waterleaf Production in a Tropical Region

Effect of rainfall variation on yam production in Kuta, Shiroro Local Government area of Niger State, Nigeria

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