Technical inefficiency and its determinants in food crops production in Imor State, Nigeria

Ohajianya, DO; Obasi, PC; Orebiyi, JS

doi:10.4314/jasr.v6i2.47011

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…The analysis of efficiency is generally associated with the possibility of farms producing a certain optimal level of output from a given level of resources or certain level of output at least cost. [13,14,15,16], distinguished between at least two types of efficiencies.…”

Section: Introductionmentioning

confidence: 99%

Technical Efficiency of Table Egg Producers in Imo State, Nigeria

Ohajianya

2013

AJAEES

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This work was carried out in collaboration between all authors. Author DOO designed the survey. Author PNO also work the report inventory. Author JNU involved in selecting. Author MNO wrote the data analysis. Author IUN also involved in data collection. Author JSO proof read the typed manuscript. Authors CCG, COE they were also involved in data collection and also proof read the Galley proof. All authors read and approved the final manuscript.

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Section: Introductionmentioning

confidence: 99%

Technical Efficiency of Table Egg Producers in Imo State, Nigeria

Ohajianya

2013

AJAEES

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“…This is mainly due to the fact that the cereal crop producing plots practice extensive production method and those of cash crop practice intensive production one. This is not fare from empirical studies in the same field in Mali and Africa (Coulibaly et al, 2017;Audibert, 1997;Ohajianya et al, 2006;Nuama, 2006;Nuama, 2010 andAmos et al, 2004). Crop categories have different factors that determine their technical efficiency as stated in the hypothesis.…”

Section: Resultsmentioning

confidence: 53%

“…Notes: *, **, and *** correspond to significances of 10%, 5%, and 1% respectively. Subscripts 1, 2, 3 and 4, refer to plot area, purchased seed, labor used and other inputs value, respectively For all crop categories, we have an efficiency score of 55.00% and decreasing return to scale for a full sample which is not fare from other empirical studies of agricultural production in Mali and Africa (Coulibaly et al, 2017;Audibert, 1997;Ohajianya et al, 2006;Nuama, 2010;Nuama, 2016 andAmos et al, 2004). All the input variables have a positive effect on the productivity apart from labor used.…”

Section: Resultsmentioning

confidence: 99%

“…Elsewhere, results from Nuama (2010), revealed that in the full sample, the main determinant of producers" efficiency are participation to a help group, access to credit, access to land and cash crop planting compared to access to extension service that is not a determinant of rice producers. Ohajianya et al, (2006) indicated that technical inefficiency in food crops production in Imo State, Nigeria ranges of 0.21 to 0.98 with a mean of 0.61. Those results suggest that there are still opportunities for increasing productivity and farm income in Imo State through reduction in technical inefficiency in resource use.…”

Section: Agricultural Production and Technical Efficiencymentioning

confidence: 99%

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Socio-Economic, Pedological and Climate Determinants of Producers’ Technical Efficiency in Mali

Sissoko¹,

Sangare²,

Tangara³

et al. 2018

JAES

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This paper uses data from the National Surveys" data from the Living Standards Measurement Study and the Integrated Surveys on Agriculture for Mali of 2014 to analyze socioeconomic , pedological and climate determinants of producers" technical efficiency in Mali. To do so, a stochastic production frontier was estimated for each crop category and the full sample. Globally, the finding is that different stochastic parameters affect significantly the technical efficiency of different crop categories producing plots. On average, we have an efficiency score of 55.00% for the full sample. The cash crop producing plots are technically more efficient than cereal crop producing plots. Regarding the results, the setting up the following measures is highly recommended: provide adequate training methods of new technologies and new agricultural practices for cereal crop producers, crop diversification must be introduced to the production system and the promotion of better irrigation systems.

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“…A substantial part of the population of Imo State are rural farmers, most of who cultivate food crops such as cassava, yam, maize, cocoyam, melon, rice and vegetables (Obasi, 1995) and the effects of these natural disasters lead to the disruption of the rural farmer's livelihood causing a vicious cycle of falling productivity and farm incomes, and adding to the risk, damage and stress of disasters. These rural farmers are more exposed to natural disasters because they tend to live in marginal areas and depend on high-risk, low return livelihood systems such as rain fed agriculture and face many sources of vulnerability including little physical infrastructure (Ohajianya et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Untitled

2016

International Journal of Sustainable Agricultural Research

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This study analyzed productivity of farmland values in food crop production in natural disasters prone areas of Imo State, Nigeria. The study specifically determined farmland values, productivity of food crop farmers by farmland values, and factors influencing food crop farmers productivity in the different farmland values. Data were collected with questionnaire from 280 proportionately and randomly selected food crop farmers. Data were analyzed using descriptive statistics, farmland value model, productivity model, and multiple regression techniques. Results showed that farmland suitability index ranged from < 0.499 to 0.948 with a mean of 0.350.Majority (72.1%) of the farmers cultivated on non-suitable farmlands, 22.9% of them cultivated on marginally suitable farmlands while few (5%) of the farmers cultivated on suitable farmlands, implying that majority of the farmlands cultivated for food crop production in the study area are not suitable. Food crop farmers' productivity increases with suitability of farmland and the productivity of farmland increases from 1.35 to 2.25 and 3.14 as farmland moves from non-suitable to marginally suitable and suitable values respectively, thus making marginally suitable and suitable farmlands about 48% and 133% higher in farmland productivity than non-suitable farmlands. Farmland rent, quantity of fertilizer applied, quantity of organic manure applied, education level, quality of planting materials, and distance of farmland from farmer's home have significant influence on marginally suitable farmlands productivity. Farm size, quantity of fertilizer applied, quantity of organic manure applied, farming experience, and quality of planting materials significantly influenced suitable farmlands productivity. Crop farmers cultivating non-suitable farmland should explore measures to improve the fertility of their farmlands or minimize wastage of production resources through reduction in the size of farmlands, cultivated.

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Technical inefficiency and its determinants in food crops production in Imor State, Nigeria

Cited by 4 publications

References 7 publications

Technical Efficiency of Table Egg Producers in Imo State, Nigeria

Technical Efficiency of Table Egg Producers in Imo State, Nigeria

Socio-Economic, Pedological and Climate Determinants of Producers’ Technical Efficiency in Mali

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