scholarly journals Technical efficiency of hybrid maize production in eastern terai of Nepal: A stochastic frontier approach

2018 ◽  
Vol 1 (1) ◽  
pp. 189-196 ◽  
Author(s):  
Surya P. Adhikari ◽  
Krishna P. Timsina ◽  
Peter R. Brown ◽  
Yuga N. Ghimire ◽  
Jeevan Lamichhane
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Production Model ◽  
Farm Size ◽  
Efficient Production ◽  
Stochastic Frontier Approach ◽  
Maize Production ◽  
Socioeconomic Variable ◽  
Older Farmers ◽  
Hybrid Maize

Maize is the second most important crop after rice in terms of area and production in Nepal. This article analyzes the technical efficiency and its determinants of hybrid maize production in eastern Nepal. Using a randomly selected data from 98 farmers (41 from Morang and 57 from Sunsari) in eastern Nepal, the study employed a stochastic frontier production model to find the production elasticity coefficients of inputs, determinants of efficiency and technical efficiency of hybrid maize farmers. The results showed that maize production responds positively to increase in amount of urea, DAP and the area planted, where as it is negative to seed quantity. The study indicate that farmers are not technically efficient with a mean technical efficiency 79 %. Socioeconomic variable age had a negative and significant while the household size had a positive and significant related to maize output. The younger farmers were observed more technically efficient than older farmers. Larger the members in the household higher the maize production. It is recommended that farmers should increase their fertilizer dose and farm size while they should decrease their seed rate for efficient production.

scholarly journals Technical Efficiency and Small Scale Maize Producers in Mwanza Region: A Stochastic Frontier Analysis

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Mukole Kongolo
Keyword(s):  
Technical Efficiency ◽  
Best Practice ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Estimation Procedure ◽  
Farm Size ◽  
Small Scale ◽  
Maize Production ◽  
Frontier Analysis

This study measured technical efficiency and its determinants in maize production by small-scale producers in Mwanza region, using a stochastic frontier production function approach. A randomly selected sample of participants in the two districts was used. The Maximum Likelihood estimation procedure was followed to obtain the determinants of technical efficiency and technical efficiency levels of small-scale maize producers. The minimum and maximum values of technical efficiency were between 20% and 91%, indicating that the least practices of specific producer operates at a minimum level of 20%, while the best practice producers  operate  at 91% technical efficiency  level respectively. The summary results of the mean technical efficiency was 63%. The main determinants of technical efficiency were labour, farm size, producer’s experience, producer’s age, family size which were all positive and statistically significant. The findings suggest that the average efficiency of small-scale maize producers could be improved by 37% through better use of existing resources and technology. These findings highlight the need for action by government to assist small-scale maize producers improve efficiency.

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.

Economic analysis of cassava production in Ogbia Local Government Area, Bayelsa State

2021 ◽  
Vol 1 (2) ◽  
pp. 001-008
Author(s):  
NC Morgan ◽  
DA Wasini ◽  
IE Larry
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Production Model ◽  
Farm Size ◽  
Cost Ratio ◽  
Gross Margin ◽  
Benefit Cost Ratio ◽  
Cassava Production

The study was carried out to analyze “the Economics of cassava production in Ogbia Local Government Area of Bayelsa State, Nigeria”. The specific objectives of the study were to describe the socio-economic characteristics of cassava farmers; analyze costs and returns of producing cassava; determine technical efficiency; determine factors influencing technical efficiency of cassava farmers; and Identify constraints associated with cassava production in the study area. The sample of (94) cassava farmers was drawn from (10) communities in Ogbia and structured questionnaires were administered. Descriptive statistics, Translog Stochastic Frontier Production Model (SFPM) and budgetary model were used to analyze the data. Female (87.23%) dominated cassava production. 74% falls within the age of 21-50 years. Majority were married (65%) and 54.26% had a family size of 6-10. 52.13% of the respondents were basically farmers and all of them get there source of income for farming from personal savings and 72.34% used both family and hired labour in the production of cassava with 58.51% of them having farm size ≤0.5. The study further reveals that the gross margin was ₦521,313.50 and the profitability index was 64.07, while the rate of return on investment was 178.31, benefit-cost ratio of 2.8 proving the viability of cassava production in the study area. Lack of credit facilities, high spread of disease, lack of land were the major constraints faced by the farmers. Loans and grants should be made available to farmers either by government agencies or rather programs to fund cassava production should be created.

Assessing Production Efficiency by Farm Size in Rwanda: A Zero-inefficiency Stochastic Frontier Approach

2020 ◽  
Author(s):  
Jules Ngango ◽  
Seungjee Hong
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Sub Saharan Africa ◽  
Farm Size ◽  
Farm Income ◽  
Maize Production ◽  
Positive Effects ◽  
Study Results ◽  
The Relationship

Abstract This study investigates the relationship between farm size and technical efficiency for maize production in Rwanda. Since levels of technical efficiency tend to vary considerably across farms in sub-Saharan Africa, with a mixture of both inefficient and fully efficient farms, the use of the conventional stochastic frontier method is not appropriate. In this paper, we apply a zero-inefficiency stochastic frontier method that manages both efficiency and inefficiency in the studied sample. The average technical efficiency of maize farms for the full sample is estimated at 0.64, demonstrating that maize output can be improved by approximately 36% without increasing the proportion of farm inputs used. Regarding the relationship between farm size and technical efficiency, the study results show a positive relationship between farm size and technical efficiency for maize production in Rwanda. Thus, the enforcement of land reforms such as land consolidation and enhanced aggregate productivity growth are needed. The results also indicate that education, cooperative membership, extension services, access to credit, off-farm income, land tenure, and livestock ownership have significant and positive effects on technical efficiency.

scholarly journals Technical Efficiency of Plantain Production in Ekiti Southwest Local Government Area of Ekiti State, Nigeria

2018 ◽  
Vol 8 ◽  
pp. 1203-1213
Author(s):  
Rufus Sunday Owoeye ◽  
F. O. Osundare
Keyword(s):  
Local Government ◽  
Technical Efficiency ◽  
Descriptive Analysis ◽  
Stochastic Frontier ◽  
Local Government Area ◽  
Production Model ◽  
Farm Size ◽  
Small Scale ◽  
Access To Credit ◽  
Pests And Diseases

This study examined the technical efficiency of plantain production in Ekiti Southwest Local Government Area (LGA) of Ekiti State, Nigeria. The study used multistage sampling techniques for data collection. Data were collected from 90 plantain farmers through well-structured questionnaires from the LGA with three towns purposively selected. The collected data were analyzed using descriptive statistics, budgetary analysis and stochastic frontier production model. Results from descriptive analysis showed that 48.88 percent of the plantain farmers had secondary education and above. Majority of the respondents (66.67 percent) had between 5 and 8 members that made up the household in the study area. Findings further showed that majority of the respondents produced on small scale with average plantain farm size of 0.96 hectares. The farmers were fairly experienced with 44.44 percent of them had more than 15 years of farming experience. With mean profit of ₦251,500 per hectare and percentage profit of 63.11 percent, the venture was considered to be highly profitable. Farmers who invested ₦1 realized revenue of ₦0.63. The RTS parameter (0.931) was obtained from the summation of the coefficients of the estimated inputs (elasticities) which indicated that plantain production in the study area was in Stage II of the production surface meaning that these variables were efficiently utilized. Depreciation, hired labour, family labour, farm size and quantity of suckers planted were the significant variables that influence efficiency of the plantain farmers. Age, land acquisition and access to credit contributed significantly to technical inefficiency. Among the most prevalent constraints were; price fluctuation (72.22%), heavy wind (70.00%), high cost of farm input (68.89%), pests and diseases and pilferage (63.33%) each, insufficient credit facility, storage facility and poor agricultural extension services (62.22%) respectively.

scholarly journals Technical efficiency analysis of maize production: evidence from Ghana

2014 ◽  
Vol 8 (2-3) ◽  
pp. 73-79 ◽  
Author(s):  
Beatrice Bempomaa ◽  
Henry de-Graft Acquah
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Returns To Scale ◽  
Maize Yield ◽  
Stochastic Frontier Approach ◽  
Maize Production ◽  
Productivity Level ◽  
Work Activities ◽  
Increasing Returns To Scale ◽  
Farm Work

The study applies the single-stage modelling stochastic frontier approach to investigate the performance of maize farmers in the Ejura-Sekyedumase District of Ghana. It estimates the level of technical efficiency and its determinants for 306 maize farmers. Findings indicated that land, labour and fertilizer influenced output positively whilst agrochemicals and seeds affected output negatively. A wide variation in output was also found among producers of maize. The study further revealed that age, sex and off-farm work activities were significant determinants of technical inefficiencies in production. Results from the maximum likelihood estimate of the frontier model showed that averagely, farmers were 67% technically efficient, implying that 33% of maize yield was not realized. The return to scale which measures the productivity level of farmers was 1.22, suggesting that the farmers are operating at an increasing returns to scale.

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.

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