Analysis of Maize Production Efficiency in Maize Production in Ethiopia Evidence from Low Land of Gudeya Bila: Stochastic Frontier Approach

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tolesa Tesema
Keyword(s):  
Production Efficiency ◽  
Stochastic Frontier ◽  
Stochastic Frontier Approach ◽  
Maize Production

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.

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 Production Efficiency and Diversification in Mexican Coffee-Producing Districts

2007 ◽  
Vol 39 (3) ◽  
pp. 749-763 ◽  
Author(s):  
Dmitry Vedenov ◽  
Jack Houston ◽  
Gabriela Cardenas
Keyword(s):  
Production Efficiency ◽  
Stochastic Frontier ◽  
Coffee Production ◽  
Stochastic Frontier Approach ◽  
Lower Efficiency ◽  
Input Distance Function ◽  
Cash Crops ◽  
Efficiency Factors ◽  
Staple Crop ◽  
Over Time

Coffee production system is analyzed for 24 municipios (districts) in Veracruz, Mexico, from 1997 to 2002. A stochastic frontier approach is used to estimate an input distance function and to evaluate production efficiency. Results show the production process to be stable over time despite global price fluctuations. Production of staple crop (corn) with either coffee or other cash crops results in increased efficiency as a result of the economies of complementarity, while production of coffee with other cash crops leads to lower efficiency. Factors contributing to higher efficiency included higher population density, road availability, and higher altitude, typically associated with production of higher-quality coffee.

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