scholarly journals Efficacité Technique des Petits Producteurs du Maïs au Bénin

2018 ◽  
Vol 14 (19) ◽  
pp. 109
Author(s):  
Fawaz A. Adéchinan Aminou
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Farm Households ◽  
Farm Income ◽  
Selling Price ◽  
Stochastic Frontier Approach ◽  
Access To Credit ◽  
Seed Distribution ◽  
Production Area ◽  
Low Efficiency

This study examines how small maize farmers allocate their production inputs and identifies the elements that characterize efficient farms. A Cobb Douglas stochastic frontier approach is used to estimate farm level technical efficiency of maize farmers. Average technical efficiency of sampled farms was estimated to be 65.40% with a minimum of 20.47% and a maximum of 93.46%. The study further showed that the farmers’ sex, the use of improved seeds, the maize selling price, the non-farm income, the contact with an NGO, the access to credit and the production area played a positive and significant role in improving technical efficiency. The results imply that government can save resources used in extension services and focus on its improved seed distribution policy. Also, imperfections in the labor/capital market contribute to the low efficiency of farm households.

scholarly journals Risk Adjusted Production Efficiency of Maize Farmers in Ethiopia: Implication for Improved Maize Varieties Adoption

2017 ◽  
Vol 5 (9) ◽  
pp. 1099
Author(s):  
Sisay Diriba Lemessa ◽  
Molla Alemayehu Yismawu ◽  
Megersa Debela Daksa ◽  
Mulugeta Damie Watabaji
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Stochastic Frontier Approach ◽  
Technical Inefficiency ◽  
Maize Production ◽  
Production Risk ◽  
Access To Credit ◽  
Maize Varieties

This study analyzes the technical efficiency and production risk of 862 maize farmers in major maize producing regions of Ethiopia. It employs the stochastic frontier approach (SFA) to estimate the level of technical efficiencies of stallholder farmers. The stochastic frontier approach (SFA) uses flexible risk properties to account for production risk. Thus, maize production variability is assessed from two perspectives, the production risk and the technical efficiency. The study also attempts to determine the socio-economic and farm characteristics that influence technical efficiency of maize production in the study area. The findings of the study showed the existence of both production risk and technical inefficiency in maize production process. Input variables (amounts per hectare) such as fertilizer and labor positively influence maize output. The findings also show that farms in the study area exhibit decreasing returns to scale. Fertilizer and ox plough days reduce output risk while labor and improved seed increase output risk. The mean technical efficiency for maize farms is 48 percent. This study concludes that production risk and technical inefficiency prevents the maize farmers from realizing their frontier output. The best factors that improve the efficiency of the maize farmers in the study area include: frequency of extension contact, access to credit and use of intercropping. It was also realized that altitude and terracing in maize farms had influence on farmer efficiency.

scholarly journals Technical Efficiency Analysis of Millet Production in the Sahel Region of Burkina Faso

2020 ◽  
Vol 11 (1(S)) ◽  
pp. 10-18
Author(s):  
Windinkonté SEOGO ◽  
W. Jean-Pierre SAWADOGO
Keyword(s):  
Burkina Faso ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Formal Education ◽  
Stochastic Frontier ◽  
Farm Income ◽  
Factors Affecting ◽  
Access To Credit ◽  
Income Breeding ◽  
Sahel Region

Millet is the basic cereal crop which contributes to rural households’ food security in the Sahel region of Burkina Faso. This study assesses the technical efficiency and its determinants of millet farmers in this region. A stochastic frontier approach is followed to analyze data collected on 106 households randomly selected in 2017. The mean technical efficiency is estimated at 71.23% implying that millet production may be increased by 28.77% with the same resources used by farmers. The results show that formal education, off farm income, breeding, and access to credit are the main factors affecting the production efficiency. The study recommends decisions makers to take appropriate measures regarding these factors, to enhance millet productivity in the Sahel region.

scholarly journals Analysis of technical efficiency of smallholder tomato producers in Asaita district, Afar National Regional State, Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257366
Author(s):  
Dagmawe Menelek Asfaw
Keyword(s):  
Technical Efficiency ◽  
Statistical Significance ◽  
Stochastic Frontier ◽  
Maximum Likelihood Estimates ◽  
Primary Data ◽  
Farm Income ◽  
Stochastic Frontier Model ◽  
Related Factors ◽  
Access To Credit ◽  
Regional State

The tomato had nutritional, economic and health benefits to the societies, however, its production and productivity were low in developing countries and particularly in Ethiopia. This might be due to technical inefficiency caused by institutional, governmental, and farmers related factors. Therefore this study tried to investigate the factors that affecting technical efficiency and estimating the mean level of technical efficiency of tomato producers in Asaita district, Afar Regional State, Ethiopia. Both primary and secondary data sources were used; the primary data was collected from 267 tomato producers from the study area cross-sectional by using a multistage sampling technique. The single-stage stochastic frontier model and Cobb Douglas production function were applied and statistical significance was declared at 0.05. The maximum likelihood estimates of the stochastic frontier model showed that land, labor, tomato seed, and oxen have a significant effect on tomato output; and education, extension contact, training, and access to credit have a positive and significant effect on technical efficiency, whereas household size, off-farm income, livestock ownership, distance to market, and pesticides have a worthy and significant effect on technical efficiency; and also estimated mean technical efficiency of tomato producer in a study area was 80.9%. In a line with this, the responsible body should prioritize rural infrastructure development in areas such as education, marketplace, and farmer training centers; demonstrate access to credit and extension services; use the recommended amount of pesticides per hectare, and give more intension to mixed farming rather than animal husbandry exclusively.

scholarly journals The Impact of Credit on Technical Efficiency Among Vegetable Farmers in Swaziland

2014 ◽  
Vol 4 (1) ◽  
pp. 114 ◽  
Author(s):  
Micah B. Masuku ◽  
M. O. Raufu ◽  
Nokwanda G. Malinga
Keyword(s):  
Technical Efficiency ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Farm Income ◽  
Green Pepper ◽  
Access To Credit ◽  
Vegetable Farmers ◽  
The Government ◽  
The Impact

<p>Access to credit is regarded as an important intervention for improving the incomes of the rural population, mainly by mobilizing resources to more productive uses. Production of vegetables by smallholder farmers in Swaziland is inconsistent and lower than the national demand, hence the gap is filled by imports from South Africa. The purpose of the study was to assess the influence of credit on technical efficiency of smallholder vegetable farmers in Swaziland. Data were collected in 2013 from farmers through a structured questionnaire, which was administered using personal interviews. A two-stage sampling procedure was used by stratifying the vegetable farmers in the Hhohho region according to the four Rural Development Areas (RDAs). This was followed by a simple random sampling technique used to select the number of vegetable farmers from each stratum. A sample size of 120 farmers was selected from a population of 289. The Stochastic Frontier production function was used to analyze the data using the STATA program (version 12). The results revealed that credit had a negative effect on technical efficiency of cabbage and green pepper farmers, while it had a positive effect on the technical efficiency of tomato, and beetroot farmers. The technical efficiency of tomatoes and cabbage farmers was affected by age, education level, farming experience and access to credit (p &lt;0.01), while beetroot and green pepper was affected by farmer’s age, and off-farm income. (p&lt;0.05). The study recommended that vegetable farmers should increase the amount of seeds, fertilizer and chemicals used in order to improve yields. The Government of Swaziland should subsidize farming inputs and financial institutions should make credit more available to agribusinesses in order to improve the efficient use of input resources.</p>

Profitability analysis and technical efficiency of Sasakawa global 2000 maize technology in Lere Agricultural Zone, Kaduna state, Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 20-30
Author(s):  
A.M. Durba ◽  
A. Adewumi ◽  
U. Musa
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Score ◽  
Farm Size ◽  
Farm Income ◽  
Gross Margin ◽  
Access To Credit ◽  
Profitability Analysis ◽  
The Mean

The study determined the profitability and technical efficiency of Sasakawa Global (SG-2000) maize technology in Lere Agricultural Zone, Kaduna State, Nigeria. A total of 146 respondents were selected through a multi-stage sampling technique. Data were collected through structured questionnaire administered to the sampled respondents and complemented with interview schedule. Analysis of the data collected was done using descriptive statistics, farm budgeting technique and stochastic frontier function. Results showed that the mean age of SG-2000 adopters was 45years old, 73% of them were males and 81% were married. The mean farming experience of the adopters was 15 years, household size of 8 persons and farm size of 2.26ha respectively. Also, majority of the farmers were members of farmers’ cooperative society and had access to extension services. The farm budgeting technique revealed maize production was profitable in the area with gross margin and net farm income of ₦99,407.76/ha and ₦96,700.80/ha respectively. The maize farmers were not technically efficient with a mean efficiency score of 0.8181. The farm size at p<0.10, seed at p<0.01, fertilizer at p<0.01, capital input at p<0.01 probability levels respectively were efficiency factors, while the sex of farmer at p<0.10, marital status at p<0.10, farming experience at p<0.05 and access to credit at p<0.01 probability levels respectively were the inefficiency factors. It is recommended that other farmers in the study area should adopt the SG-2000 maize technology to improve their level of profitability and technical efficiency. Keywords: Profitability, Technical efficiency, SG-2000 maize technology, Farmers and Kaduna State

Technical Efficiency in Seed Potato Production Systems in Uganda

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 122-140
Author(s):  
Ambrose Rwaheru Aheisibwe ◽  
Razack B. Lokina ◽  
Aloyce S. Hepelwa
Keyword(s):  
Technical Efficiency ◽  
Seed Potato ◽  
Arable Land ◽  
Stochastic Frontier ◽  
Potato Production ◽  
Maximum Likelihood Estimates ◽  
Farm Income ◽  
Seed Potato Production ◽  
Extension Services ◽  
Income Source

This study established the level of technical efficiency and its determinants among the informal and formal seed potato producers in the southwestern highlands agro - ecological zone of Uganda. A multi- stage sampling procedure was employed to select 636 households (499 informal seed producers and 137 formal seed producers) from which data was collected for two seasons using a semi - structured questionnaire. Data was analyzed using the stochastic frontier approach with a one - step approach. Maximum likelihood estimates for the efficiency parameters showed that both informal and formal seed potato producers were not fully efficient. The mean technical efficiency for informal and formal seed potato producers was 8 1 .4 and 80.4 percent respectively. In terms of yield loss, informal and formal seed potato producers respectively lost an average of 981 and 1,208 kg/acre of seed potato tubers due to inefficiency factors . Specifically, off- farm income source, scale of production, seasonal variation, access to extension services and seed producer being male positively influenced informal seed producers’ technical efficiency while producers’ level of education and seed potato variety diversity negatively influenced their efficiency. For formal seed producers, technical efficiency was influenced positively by producers’ education and negatively by household size. The study suggests that there is an opportunity to improve technical efficiency of informal and formal seed producers by 19 and 20 percent respectively. Therefore, this calls for increased investment in developing and promoting high yielding varieties, provision of extension services, input intensification and addressing gender issues in seed potato production in the context of limited arable land .

scholarly journals Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 246
Author(s):  
Markose Chekol Zewdie ◽  
Michele Moretti ◽  
Daregot Berihun Tenessa ◽  
Zemen Ayalew Ayele ◽  
Jan Nyssen ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Crop Production ◽  
Large Scale ◽  
Positive Impact ◽  
Smallholder Farmers ◽  
Stochastic Frontier ◽  
Crop Productivity ◽  
Small Scale ◽  
Stochastic Frontier Approach ◽  
Small Scale Irrigation

In the past decade, to improve crop production and productivity, Ethiopia has embarked on an ambitious irrigation farming expansion program and has introduced new large- and small-scale irrigation initiatives. However, in Ethiopia, poverty remains a challenge, and crop productivity per unit area of land is very low. Literature on the technical efficiency (TE) of large-scale and small-scale irrigation user farmers as compared to the non-user farmers in Ethiopia is also limited. Investigating smallholder farmers’ TE level and its principal determinants is very important to increase crop production and productivity and to improve smallholder farmers’ livelihood and food security. Using 1026 household-level cross-section data, this study adopts a technology flexible stochastic frontier approach to examine agricultural TE of large-scale irrigation users, small-scale irrigation users and non-user farmers in Ethiopia. The results indicate that, due to poor extension services and old-style agronomic practices, the mean TE of farmers is very low (44.33%), implying that there is a wider room for increasing crop production in the study areas through increasing the TE of smallholder farmers without additional investment in novel agricultural technologies. Results also show that large-scale irrigation user farmers (21.05%) are less technically efficient than small-scale irrigation user farmers (60.29%). However, improving irrigation infrastructure shifts the frontier up and has a positive impact on smallholder farmers’ output.

THE DETERMINANTS OF LIVELIHOOD INCOME DIVERSIFICATION AMONG RURAL FARMING HOUSEHOLDS IN OSUN STATE, NIGERIA.

2021 ◽  
Vol 5 (2) ◽  
pp. 79-84
Author(s):  
M. Akinyemi ◽  
J. A. Olayinka ◽  
M. Junaidu ◽  
D. Ekpa ◽  
T. Bodaga ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Rural Economy ◽  
Descriptive Statistics ◽  
Farm Households ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Practice ◽  
African Countries ◽  
Income Diversification ◽  
Access To Credit

Rural economy in Nigeria is worst hit with the erratic and unpredictable factors that affect agricultural practice which is the main livelihood of the rural farm households. Consequently, farmers are left with the option of sourcing other means of survival to cope with the hard times due to in consistent and seasonal distribution of income which characterize small farm holders in sub-Saharan African countries. This study investigates the factor influencing the livelihood income diversification among rural farm households in Osun state, Nigeria. Multi stage sampling techniques was employed to sample120 structured and pre-tested questionnaires from 120 rural farm households. Descriptive statistics and multiple regression analysis were used to analyze the data. The results of the descriptive statistics revealed that household heads of age range 50-60 years are 38.6% and about 40.70% had primary education while 26.30% had no education. About 98.31% of the rural households engaged in farming out of which 80.57% have farm size ranging between 1-3 hacters. Logit regression analysis shows that access to credit was positively significant (P<0.05) which implies that farmers that have access to credit were more likelihood to have income diversification. Age of the farmers was negatively significant (P<0.1). It connotes that the older the farmers the lesser the likelihood to income diversification. Income equivalent of household was positively significant (P<0.1). Access to electricity was positively significant (P<0.05). This implies that access to electricity increase farmer’s likelihood to income diversification. The off-farm income analysis shows that education and farm size were respectively negative and

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