Resource-Use Efficiency in Yam Production in Delta and Kogi States 
 of Nigeria

Ekunwe, P.A.; Orewa, S. I.; Emokaro, C. O.

doi:10.3923/ajar.2008.61.69

Cited by 15 publications

(13 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This implies that, as the farmer is ageing their productivity on the farm will decline. The significance of farm income, educational level and age of farmers is in conformity with earlier findings by , Pius and Odjurwuedernie (2006) and Ekunwe et al (2008). Other variables like farm size (x 1 ), farming experience (x 4 ), sex (x 5 ) and family size (x 6 ) were found to be insignificant and therefore have no serious impact on yam production in the area.…”

Section: Resultssupporting

confidence: 88%

See 1 more Smart Citation

Economic assessment of yam production in Kabba- Bunu Local Government Area of Kogi State, Nigeria

Ibitoye¹,

Onimisi²

2013

J. Dev. Agric. Econ.

View full text Add to dashboard Cite

Area of Kogi State, Nigeria. Data used for the study were obtained using structured questionnaire. The questionnaire was administered to 150 randomly selected yam farmers in the area. Descriptive statistics, multiple regression and gross margin (GM) analysis were used to analyze the data. The regression result showed that, farm income (2.778), age (1.820) and education level (2.334) have significant effects on yam output in the area. The GM analysis also revealed that, yam production is profitable in the study area with an average profit of N 121,200 ha -1 . It was therefore recommended that, farm inputs be made available to farmers at subsidized prices as a way of improving income from yam production.

show abstract

Section: Resultssupporting

confidence: 88%

“…Gross ratio is a profitability ratio that measures the overall success of the farm. The lower the ratio, the higher the return per naira invested (Ekunwe et al, 2008):…”

Section: Model Specificationmentioning

confidence: 99%

Economic assessment of yam production in Kabba- Bunu Local Government Area of Kogi State, Nigeria

Ibitoye¹,

Onimisi²

2013

J. Dev. Agric. Econ.

View full text Add to dashboard Cite

show abstract

“…It therefore, shows that there is efficiency gap but with scope for improvement in Pineapple production among Pineapple farmers in the study area. These results compare favourably with the findings of Ekunwe and Orewa (2007), Ogundari and Ojo (2007), Ekunwe et al (2008), Ojo et al (2009) and Shehu et al (2010). The sample frequency distribution indicated a clustering of technical efficiency in the region 0.71 -0.80 efficiency ranges representing 14% of the respondents.…”

Section: Under Peer Reviewsupporting

confidence: 87%

Economic Efficiency Analysis of Pineapple Production in Edo State, Nigeria: A Stochastic Frontier Production Approach

Akhilomen

Bivan²,

Rahman³

et al. 2015

AJEA

View full text Add to dashboard Cite

This study analyses farmers' overall efficiency in Pineapple production in Edo State, Nigeria. Data were collected through well structured questionnaire administered on 175 Pineapple farmers selected using a multi-stage sampling technique and analyzed using descriptive statistics and the stochastic frontier production and cost function models. The result of the study revealed that while farm size and labour significantly influenced production efficiency, the cost of farm and suckers and output were significant in influencing cost efficiency. The mean technical, allocative and economic efficiencies of the farmers were 0.70, 0.68 and 0.64 respectively indicating ample opportunity for farmers to increase their productivity through improvement in their technical and allocative efficiencies. The return to scale (RTS) for the production function revealed that the farmers operated in the rational zone (stage II) of the production surface having an RTS of 0.52. The analysis further indicated that the presence of technical and allocative inefficiencies had effect on Pineapple production as depicted by the significant estimated gamma coefficient of each model and the predicted technical and allocative efficiencies within the farmers. The study recommends the need to increase output through more intensive use of land, availability of high yielding Pineapple varieties and the effective and efficient utilization of labour and fertilizer inputs. It also recommends that farmers be encouraged to join cooperatives and extension services should intensify their efforts in training and mobilizing farmers for improved Pineapple production. An easier access to credit from formal sources, notably micro-credit institutions and farmers' education are essential to improve productivity and profitability of Pineapple production in Nigeria. Policies that focuses on ways of attracting and encouraging the youths who are agile and stronger to embark on Pineapple production should be pursued such as the setting up of fruit processing factories or industries in the rural areas.

show abstract

“…Therefore, in this study, only improved salt producers are considered for the efficiency analysis. Although there have been many studies on the technical efficiency of agricultural production in West Africa (Ekunwe et al, 2008;Ogundele and Okoruwa, 2004), however, there are no studies been conducted in West Africa, particularly in Guinea on the technical efficiency of salt production.…”

Section: Introductionmentioning

confidence: 99%

A Stochastic Frontier Approach for Measuring Technical Efficiency of Small-Scale Improved Salt Production in Guinea

Baldé¹

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

Salt production is a major driving force behind the loss of mangrove in Guinea. As the traditional salt production causes increasing deforestation, the intensive exploitation of mangrove resources has now reached a critical threshold. Therefore, improved techniques using sunlight as the source of energy has been introduced as an alternative to the traditional salt production techniques which consumes a significant amount of mangrove wood. Therefore, it's of interest to examine the efficiency of the new salt production technique, in this an attempt is made to determine the technical efficiency of salt producers adopting the improved techniques by using the stochastic frontier analysis method. The study used primary data collected through a survey. A sample of 100 salt producers was interviewed during March-April 2013. However, this study considers only 65 producers using the improved salt production techniques along the Guinean coast in Koba, particularly in Balessourou district. The results revealed that labor cost and dimension of the basins contribute to enhance the performance of salt production in terms of revenue earned. Inefficiency model indicated that membership in salt producer organizations, producers' participation in activities organized by local and/or international institutions; family size and land rent significantly influenced technical inefficiency. Results also highlighted the fact that even the best producers were inefficient. The mean level of their technical efficiencies was estimated at 27%, while the efficiency ranged from 0.0 to 92%. In addition, the estimation of the loss due to the inefficiency occurring seasonally was significant and valued at 601,024 Guinean francs per basin. In order to improve the efficiency of salt production, this study advocates some strategies such as coating basins for minimizing the loss of salt during extraction, encouraging producers' participation in activities organized by the government and its partners and strengthening producers' organizations to enhance producer participation in salt production.

show abstract

Resource-Use Efficiency in Yam Production in Delta and Kogi States of Nigeria

Cited by 15 publications

References 1 publication

Economic assessment of yam production in Kabba- Bunu Local Government Area of Kogi State, Nigeria

Economic assessment of yam production in Kabba- Bunu Local Government Area of Kogi State, Nigeria

Economic Efficiency Analysis of Pineapple Production in Edo State, Nigeria: A Stochastic Frontier Production Approach

A Stochastic Frontier Approach for Measuring Technical Efficiency of Small-Scale Improved Salt Production in Guinea

Contact Info

Product

Resources

About