scholarly journals Évaluation Du Niveau D’efficacité Technique Des Systèmes De Production A Base De Maïs Au Bénin

2016 ◽  
Vol 12 (27) ◽  
pp. 276 ◽  
Author(s):  
Toléba Séidou Mamam ◽  
Biaou Gauthier ◽  
Zannou Afio ◽  
Saïdou Aliou
Keyword(s):  
Technical Efficiency ◽  
Production Systems ◽  
Stochastic Frontier ◽  
Truncated Regression ◽  
Maize Production ◽  
Access To Credit ◽  
High Productivity ◽  
Technical Performance ◽  
Second Stage ◽  
Main Production

This study estimates the technical efficiency of a sample of 411 maïzicoles farms in the main production areas in Benin. The study proposed an evaluation of the technical performance of these farms and identified factors of inefficiency by using the model of the production stochastic frontier Cobb-Douglas to assess the levels of efficiencies of systems production involved in the first step. A truncated regression was used in the second stage in order to establish a relationship between the indices of technical efficiency and some exogenous variables or attributes. The results of the first step shows that the index of technical efficiency varies from 37.37 to 96.22% for all systems, and that of the average technical efficiency is 80.35%. The maximum value of technical efficiency of at least 92.75% obtained shows that there are very efficient producers in the study sample as being close to the production frontier. These producers who obtain such a high productivity can be referred to generally improve the productivity of maize production systems in Benin. The results of the second stage indicate that the variables such as access to fertilizers and herbicides, the use of animal traction and tractor, technical guidance and access to credit influence significantly (p <0.05 to p <0.001) the technical efficiency of maize farms surveyed.

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 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 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.

Tourism Supply Efficiency: An Analysis of Countries in the Asia-Pacific Region

2021 ◽  
Vol 12 (4) ◽  
pp. 1139
Author(s):  
Sakkarin NONTHAPOT
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Likelihood Estimation ◽  
Asia Pacific ◽  
Pacific Region ◽  
Asia Pacific Region ◽  
Factors Affecting ◽  
Technical Performance ◽  
Negative Effect ◽  
Technical Performance Measurement

The objective of this research is to analyze the factors affecting the tourism supply and its efficiency of the tourism supply for countries in the Asia-Pacific region. The method uses the stochastic frontier with Maximum Likelihood Estimation (MLE) analyzed by Frontier software. 4.1. The data were collected from panel data from 2010 - 2019 for 23 countries. The results of the study revealed that 1) Tourism investment from the private sector and timing factors positively affect the tourism supply of countries in the Asia-Pacific region, while the tourism labor value factor has a negative effect on the tourism supply of countries in the region 2) For the technical performance measurement of tourism supply in each sub-region in the Asia-Pacific region, the average is between 0.387 and 0.657. East Asia shows the highest technical efficiency in China, Hong Kong, Japan, Macau and Mongolia while South Asia has the lowest technical efficiency in Bangladesh, India, Nepal, Pakistan, Sri Lanka and the Maldives, respectively.

scholarly journals Analysis of technical efficiency in maize production in Guji Zone: stochastic frontier model

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Aschalew Shiferaw Belete
Keyword(s):  
Maximum Likelihood ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Maize Yield ◽  
National Average ◽  
Likelihood Method ◽  
Farm Income ◽  
Total Production ◽  
Maize Production ◽  
Truncated Normal

Abstract Background The Guji Zone in particular and Oromia region in general have a huge potential for crop production that can even contribute for the country as a whole in the struggle for achieving food security. Maize is Ethiopia’s largest cereal crop in terms of total production, acreage, and the number of farm holdings. It is one of the staple crops produced in the study area. However, the farm productivity per hectare is low compared to the national average which indicates the presence of farming inefficiency in the study area. Thus, this study was undertaken with the objective of estimating the level of farmers’ technical efficiency in maize production and identifying the factors which determine the variation in the level of technical efficiency among the farmers. Results This study was relied on the primary data collected from a sample of maize producing farm household of Adola Rede and Anna Sorra districts of the Guji Zone using a survey questionnaire. A simple random sampling technique was found appropriate for selecting the respondents, since the populations of these study area are homogeneous. The analysis was relied on a cross-sectional data collected from 234 sample farm households. A one-step stochastic frontier normal/truncated-normal model was used to estimate the farmers’ technical efficiency as well as to identify the determinants of yield per hectare of maize which was estimated by maximum-likelihood method. The empirical result indicates that there are large numbers of inefficient farmers in both districts. The estimated technical efficiency for maize producing farmers is equal to 69.03%. Besides, the current study revealed that 69.23% of maize producing farmers have been operating within a technical efficiency score interval equal to (0.5–0.75) in both districts. In addition, the maize yield per hectare in the study area is very low compared to the national average, i.e., the mean yield is 19.2 quintal per hectare. Moreover, the maximum-likelihood results show that gender of the head of the household, age of the head of the household, farm income, row planting, access to credit, number of active labor force, land size owned, access to improved seed and seed type used, and number of livestock were significantly determine the farmers technical inefficiency. Conclusion The results of the study revealed that there is an opportunity which is being squandered in maize production in the study area. For instance, with a given technology, it is possible to raise the maize yield per hectare by 30.07% in the study area. Thus, the government and any concerned stakeholders should facilitate access to improved seed and fertilizer, credit, farm technology, and short-term training. Besides, all stakeholders should work in a cooperative and organized manner to implement the full agricultural package on farm level.

scholarly journals Profitability Comparison Between Boro Rice and Maize Production in Dinajpur District

2021 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
Rozina Yeasmin ◽  
Mohammad Saidur Rahman ◽  
Mohammad Ismail Hossain
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Cost Ratio ◽  
Maize Production ◽  
Frontier Analysis ◽  
Benefit Cost Ratio ◽  
Rice Farmers ◽  
Benefit Cost ◽  
Boro Rice

The study focuses on comparing technical efficiency and profitability between Boro rice farmers and maize farmers in Dinajpur district consisting of 150 randomly collected samples which are analyzed with statistical software STATA 12.0 version. Stochastic Frontier Analysis (SFA) is used to accomplish the first objective where it is found that the maize farmers are efficient compared to boro-rice farmers. The deviation of the mean technical efficiency is estimated at 0.09. In addition maize farmers are also more profitable than boro-rice farmers estimated with a benefit Cost Ratio (BCR) of1.08 is for boro-rice and 1.26 is for maize production. The net profit for boro-rice is estimated as 10,527.60 Tk./ha whereas 28,966.40 Tk./ha for maize producers. However mean technical efficiency of boro-rice (0.44) and maize (0.53) cultivation clearly indicates that better utilization of resources will raise the efficiency and profitability for both crops production. Res. Agric., Livest. Fish.8(1): 51-56, April 2021

The ripple effect of credit accessibility on the technical efficiency of maize farmers in Ghana

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anthony Siaw ◽  
Yuansheng Jiang ◽  
Martinson Ankrah Twumasi ◽  
Wonder Agbenyo ◽  
Gideon Ntim-Amo ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Farm Size ◽  
Farm Income ◽  
Agricultural Credit ◽  
Maize Production ◽  
Content Type ◽  
Frontier Analysis ◽  
Access To Credit ◽  
Variable Approach ◽  
The Impact

PurposeThe purpose of this study is to examine the impact of access to credit on technical efficiency (TE) of maize farmers in a developing country, Ghana.Design/methodology/approachThe study employed an instrumental variable approach and the stochastic frontier analysis (SFA) method for the estimation of the results.FindingsThe study found that farmers who have access to agricultural credit stand the chance of increasing TE by a margin of 8%, which also influences the maize production than those who did not have access to credit. The average TE score of the farmers was 74%. The study also found out that factors like membership, gender, farmers' access to credit, age and social network determine farmers' possibility of accessing agricultural credit. The study finds out that returns to size are increasing among the maize farmers and that significant improvement in efficiency can be realized by increasing the level of input used in production. Also, factors such as farm size, labor, seeds and fertilizer are the essential determinants of maize production output. Also, gender, extension, age, off-farm income, access to credit and membership were significant factors influencing technical inefficiency (TI).Originality/valueThe paper contributes to the existing literature on agricultural credit on rural agricultural development. The problem of endogeneity associated with access to credit, which has been considered by other researchers, is dealt with this study. This paper also provides information to government policymakers, practitioners and all other stakeholders in the maize sub-sectors and also will benefit small farmers outside the study area.

scholarly journals Economic Efficiency of Maize at Dairi District North Sumatra Province

2020 ◽  
Vol 3 (2) ◽  
pp. 83-91
Author(s):  
Helentina Situmorang ◽  
Ratna Winandi ◽  
Nunung Nuryartono
Keyword(s):  
Technical Efficiency ◽  
Economic Efficiency ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Low Frequency ◽  
Likelihood Estimation ◽  
Production Level ◽  
Maize Production ◽  
Low Efficiency ◽  
Level Of Significance

Dairi Regency has the potential to increase its maize production. One of the problems in maize farming is its low productivity because of its low efficiency of input use. The objectives of this research are:(1) analyzing factors influencing maize production, and (2) analyzing the economic efficiency of maize farming at Dairi District. The analysis methods used are the Cobb-Douglas stochastic frontier production function utilizing Maximum Likelihood Estimation (MLE) to analyze technical efficiency, the dual cost function to analyze allocative efficiency. This research used cross-section data. The research findings showed thatfactors like seed and fertilizers (SP-36 and Phonska) were positively and statistically significant on maize production (level of significance at 5 %), the use of urea and herbicide also havea positive and statistically significant influence on maize production (level of significance at 10 %). Furthermore, labor use hasa positive, but not statistically significant effect on maize production. The efficiency analysis revealed that the maize farmers had economic inefficiency. The low frequency of extension visits was a substantial contributorto this technical inefficiency. Agricultural extension is deemed essential to significantly increase the technical efficiency.  

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