Technical and Allocative Efficiency Analysis of Nigerian Rural Farmers: Implication for Poverty Reduction

Asogwa, Benjamin C.; Ihemeje, J. C.; Ezihe, J. A. C.

doi:10.3923/aj.2011.243.251

Cited by 21 publications

(27 citation statements)

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“…The dependence of Ghanaian agriculture on manual labor is stressed by Asante et al [33] who also finds labor to have negative returns to output in Ghana. The findings of this study is also substantiated by the those of Asogwa et al [34] who found that land, fertilizer and seeds have positive elasticities, whereas it is not the case for labor.…”

Section: Production Function Of Soybean In Northern Ghanasupporting

confidence: 78%

Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach

et al. 2016

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NGOs and development agencies have a conspicuous presence in facilitating capacity building, access to production resources and markets. Capacity building by NGOs and development agencies is expected to contribute to farm efficiency and sustainability by promoting and enhancing fertilizer use as well as increasing soil fertilities. However, the influence of these factors on technical efficiency as an important dimension of sustainability has not been further explored in Ghana. This study therefore assesses the influence of NGOs on technical efficiency among smallholder soybean farmers by applying stochastic frontier analysis. The data collected from 349 smallholder soybean producers in the three northern regions of Ghana are employed for the analysis. Results show that the mean technical efficiency of soybean production is 0.885, indicating a growth potential of 11.5%. Land area, agro-chemicals and seeds contribute to production growth while labor is over used. We find that NGO facilitation as well as group membership influences technical efficiency. Furthermore, farmers facilitated by NGOs and development agencies are 4.4 p.p. more efficient than non-facilitated farmers. Our study therefore implies that production and efficiency can be improved by providing more services to farmer group members and sustainable interventions from NGOs and social programs.

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Section: Production Function Of Soybean In Northern Ghanasupporting

confidence: 78%

Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach

et al. 2016

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“…The farmers of Xanthosoma on the contrary had negative coefficient which implied that some members of the household may be engaged in other activities and not available for farm work. This is in agreement with the findings of Asogwa et al (2011). Constraints to cocoyam production in the area were scarcity of improved high yielding comels, high cost of labour, lack of capital, poor storage facilities, high cost of transportation, use of traditional techniques, diseases and pests' attacks, and scarcity of land.…”

Section: Educational Attainmentsupporting

confidence: 81%

“…The implication was that farmers of Colocasia were able to utilize their farming experience economically while the farmers of Xanthosom were not. Farmers' farming experience is expected to have a positive effect on allocative efficiency and negative on inefficiency (Asogwa et al, 2011), because cost minimizing input combination and revenue maximizing output requires information about technology and market price.…”

Section: Determinants Of Allocative Efficiency For Colocasia and Xantmentioning

confidence: 99%

“…In this study, the stochastic frontier cost function model used by Asogwa et al (2011) and Tijjani and Bakare (2014) was adopted for allocative efficiency analysis. The cost function model is stated as: Log C 1 = β 0 + β 1 log P 1 + β 2 log P 2 + β 3 log P 3 + β 4 log P 4 + β 5 log Y 1 + V i + U i Where: C 1 = Total production cost (Naira) P 1 = Cost of corms (Naira) P 2 = Cost of fertilizer (Naira) P 3 = Cost of organic manure (Naira) P 4 IV.…”

Section: Empirical Model Stochastic Frontier Cost Function Modelmentioning

confidence: 99%

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Allocative Efficiency of Smallholder Cocoyam Farmers in South-South, Nigeria

Wilcox¹,

Ugwumba²,

Achike³

et al. 2016

IJEAB

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“…In developing countries, agriculture and crop-level production efficiencies have been extensively investigated by measuring technical efficiency, economic efficiency and allocative efficiency (Ali and Choudhry, 1990;Parikh et al, 1995;Coelli and Battese, 1996). In sub-Saharan African, only a few studies have been conducted on technical efficiency, particularly for staple crops (Abdulai and Huffman, 2000;Duvel et al, 2003;Abdulai and Tietje, 2007;Asogwa et al, 2011). Of these studies, only Msuya and Ashimogo (2006) measured technical efficiency and its determinants for sugarcane farmers in Tanzania.…”

Section: Introductionmentioning

confidence: 99%

Technical efficiency of traditional African vegetable production: A case study of smallholders in Tanzania

Rajendran¹,

Afari‐Sefa²,

Karanja³

et al. 2015

J. Dev. Agric. Econ.

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Traditional African vegetables are receiving more attention for their significant contribution to food and nutrition security and enhanced livelihoods of smallholders. Although demand is increasing for these nutrients-dense crops, the production of traditional vegetables in Tanzania remains low. Technical innovations can reduce yield gaps and increase the productivity of traditional vegetable crops. This paper measures the technical efficiency of farm households that produce traditional vegetables in Tanzania using a Cobb-Douglas stochastic frontier production function. This study reports data from a primary survey of 181 households that cultivated traditional vegetables in five regions (Arusha, Tanga, Morogoro, Dodoma and Dar es Salaam) of Tanzania. The results show that overall mean technical efficiency is 67%. It indicates that if the average farmer of the sample could achieve the technical efficiency level of most efficient counterpart, then average farmers of the sample could increase their output by 27% with better use of available production resources given the current state of technology. Farmers were observed to be more technically efficient in the Arusha region than in the other study regions. Possible reasons for the observed regional difference include agroclimatic variability, access to extension services, and infrastructure facilities. A linear relationship exists between farm size and technical efficiency. The study concludes that strengthening farmer associations to encourage knowledge sharing and enhancing the existing cluster approach to farming may help to improve technical efficiency.

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Technical and Allocative Efficiency Analysis of Nigerian Rural Farmers: Implication for Poverty Reduction

Cited by 21 publications

References 0 publications

Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach

Do NGOs and Development Agencies Contribute to Sustainability of Smallholder Soybean Farmers in Northern Ghana—A Stochastic Production Frontier Approach

Allocative Efficiency of Smallholder Cocoyam Farmers in South-South, Nigeria

Technical efficiency of traditional African vegetable production: A case study of smallholders in Tanzania

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