scholarly journals Cereal production practices and technical efficiency among farm households in major “teff” growing mixed farming areas of Ethiopia: A stochastic meta-frontier approach

2022 ◽  
Vol 10 (1) ◽  
Author(s):  
Fisseha Zegeye Birhanu ◽  
Abrham Seyoum Tsehay ◽  
Dawit Alemu Bimrew
Keyword(s):  
Technical Efficiency ◽  
Farm Households ◽  
Mixed Farming ◽  
Cereal Production ◽  
Production Practices

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 TECHNICAL EFFICIENCY OF CEREAL PRODUCTION IN NORTH CENTRAL NIGERIA: A CASE FOR MAIZE, RICE AND SORGHUM FARMERS

2016 ◽  
Vol 15 (1) ◽  
pp. 25-34
Author(s):  
M. A. BWALA ◽  
H. S. E. KOKOYE ◽  
R. N. YEGBEMEY
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Rice Production ◽  
Cereal Crops ◽  
Stochastic Frontier Model ◽  
Survey Area ◽  
North Central ◽  
Rice Farmers ◽  
Input Combination ◽  
Cereal Production

This study estimated technical efficiency levels of cereal crops producers. The study employed the translog stochastic frontier model to estimate efficiency levels of maize, rice and sorghum producers in the survey area. Findings revealed that maize and sorghum farmers were operating in the efficiency range of 0.50 to 0.98, while for rice farmers efficiency estimates ranged between 0.71 and 0.98. Fur- thermore, it was also observed that a majority of the rice farmers operate in the range 0.91 and 0.98 efficiency levels. Also, about 18% of the farmers operate in the efficiency range of 0.81 and 0.90, while just about 14% operate in the range of 0.96 and 0.98 efficiency levels for rice production. Findings suggest that, all things been equal, most of the cereal crops producers could improve their current levels of production by adjusting their input combination.

scholarly journals Economic Analysis of Agricultural Credit on Production Efficiency of Borrower Farms

2020 ◽  
pp. 102-110
Author(s):  
S. Padma Rani
Keyword(s):  
Technical Efficiency ◽  
Tamil Nadu ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Farm Households ◽  
Tobit Regression ◽  
Independent Variables ◽  
Farm Credit ◽  
Tobit Regression Analysis ◽  
Frontier Production Function

Credit is one of the most crucial but scarce inputs used in agriculture. Farm credit is an important instrument, which has been used to increase agricultural productivity. The main focus of this research is to examine the role of agricultural credits, production and efficiency of farms in Erode District of Tamil Nadu. Kavunthapadi and Modakurichi block of Erode district was selected. A complete enumeration of farm households which borrowed institutional crop loan in each of the sample villages was made. The survey was conducted among 60 borrowers and 45 non-borrowers farm households. In the present study, the efficiency of farms among borrower and non-borrower sample households was determined by the Stochastic Frontier production function of the Cobb- Douglas type had been used. And Tobit analysis was also done to know the effect of credit on farm efficiency. The efficiency scores obtained from first stage Stochastic Frontier Approach for borrower and non-borrower farms were used as dependent variable and a dummy variable to represent credit (X5i) were used as one of the independent variables in addition to other socio economic independent variables. Results of the model revealed that the number of borrower farms with a technical efficiency of more than 90 per cent were more (57 per cent of the total borrower farms) than that of non- borrower farms (33.3 per cent) which implies that the more percentage of farmers availed credit and adopted technology had higher technical efficiency level (90 per cent). The results also indicated that technical efficiency ranged from 0.41 to 0.99 for non borrowers and from 0.62 to 0.98 for borrowers. The results of Tobit regression analysis indicated that net operational area, farm experience, access to farm credit, had positive and significant relationship with the technical efficiency of the farmer.

scholarly journals Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

2020 ◽  
Author(s):  
Francis Akabo Asodina ◽  
Faizal Adams ◽  
Fred Nimoh ◽  
Bright Owusu Asante ◽  
Amos Mensah
Keyword(s):  
Technical Efficiency ◽  
Poverty Alleviation ◽  
Production Efficiency ◽  
Smallholder Farmers ◽  
Cross Sectional ◽  
Scale Elasticity ◽  
Factors Affecting ◽  
Soybean Production ◽  
West Region ◽  
Production Practices

Abstract The economic importance of soybean towards poverty alleviation and food security is gaining wider popularity and common acceptance among smallholder farmers in sub-Sahara Africa, especially in Ghana. Commercial soybean cultivation is relatively new in Ghana; hence it has recently benefited from several productivities enhancing innovation/technologies. However, despite these efforts, productivity has remained low. This paper investigates factors affecting production efficiency among commercial soybean farmers, across the three commercial districts of the Upper West region of Ghana. A cross-sectional data collected from 271 soybean farmers were used to investigate technical efficiency of soybean production. The overall mean technical efficiency estimate is 59% with a scale elasticity of 0.89-indicating a huge scope for efficiency improvement. The result shows that, factors affecting technical efficiency are dependent on the farmer’s socioeconomic status. With the existing technology and production recourses, soybean farmers can improve their current levels of soybean production by 41% through the adoption of best production practices.

scholarly journals Productivity and Efficiency of Precision Farming: The Case of Czech Cereal Production

2021 ◽  
Vol 13 (3) ◽  
pp. 15-24
Author(s):  
Lukáš Čechura ◽  
◽  
Zdenka Žáková Kroupová ◽  
Vladimír Kostlivý ◽  
Michaela Lekešová ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Cost Savings ◽  
Estimation Procedure ◽  
Precision Farming ◽  
Theil Index ◽  
Productivity Change ◽  
Four Component Model ◽  
Cereal Production ◽  
Productivity Dynamics

The paper deals with the sources of competitiveness of Czech cereal production by considering precision farming technology and employing micro-level data collected in the FADN database for the period 2005–2018. The analysis is based on the stochastic frontier modelling of an input distance function in the specification of the four-component model, which currently represents the most advanced approach to technical efficiency analysis. To provide a robust estimate of the model, the paper employs methods which control for the potential endogeneity of netputs in the four-step estimation procedure. Furthermore, the total factor productivity change is calculated using the Törnqvist-Theil index. The results reveal that Czech cereal producers took great advantage of their production possibilities and experienced technological progress, which contributed considerably to productivity dynamics and consequently to an increase in their competitiveness. Precision farming, which is associated with a large number of innovations reflected in technological change and optimal resource use, contributed to higher technical efficiency connected with cost savings in Czech cereal production.

scholarly journals Access to Credit and Farm Efficiency in Cameroon: A Data Envelopment Analysis Approach

2021 ◽  
pp. 48-62
Author(s):  
Orelien Tresor Feumba Tchamba
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Returns To Scale ◽  
Farm Households ◽  
Farm Size ◽  
Data Envelopment ◽  
Agricultural Field ◽  
Access To Credit ◽  
Farm Efficiency ◽  
Constant Returns To Scale

The aims of this paper is to analyze the effect of access to credit on the technical efficiency of farms in Cameroon’s rural area. Using a sample of 545 farm households, we first estimate a Data Envelopment Analysis (DEA) model with constant returns to scale; then a censored TOBIT model enabling us to identify factors of efficiency, especially the effect of access to credit on efficiency. Two main results emerge from our analysis. First, we find that on average, the level of technical efficiency of farms is 56.78%; showing therefore the possibility of substantial efficiency gains. Second, farm size, association membership, and fertilizer expenditure negatively affect technical efficiency, while access to credit, age and education increase it. Based on these results, we believe that it’s interesting for farm householders to organize themselves in associations to benefit from available credits and financial facilities and to share their experiences in the agricultural field in order to improve their efficiency.

scholarly journals Comparison of Technology and Technical Efficiency in Cereal Production among EU Countries

2015 ◽  
Vol 7 (2) ◽  
pp. 27-37 ◽  
Author(s):  
L. Cechura ◽  
◽  
H. Hockmann ◽  
M. Malý ◽  
Z. Žáková Kroupová ◽  
...  
Keyword(s):  
Technical Efficiency ◽  
Eu Countries ◽  
Cereal Production

A generalized stochastic production frontier analysis of technical efficiency of rice farming

2016 ◽  
Vol 9 (2) ◽  
pp. 114-128 ◽  
Author(s):  
Aditi Bhattacharyya ◽  
Raju Mandal
Keyword(s):  
Technical Efficiency ◽  
Rice Production ◽  
Farm Households ◽  
Rice Farming ◽  
Stochastic Production Frontier ◽  
Production Frontier ◽  
Technical Inefficiency ◽  
Content Type ◽  
Farm Level ◽  
Stochastic Production

Purpose This paper aims to analyze farm-level technical inefficiency of rice farming in Assam, India, using a multiple-output generalized stochastic frontier framework. Design/methodology/approach Primary data for this study were collected in 2009-2010 from 310 farm-households in four non-contiguous districts of Dhubri, Morigaon, Dibrugarh and Cachar that are located in different agro-climatic regions of Assam. Based on a Cobb–Douglas production function for multiple rice varieties, the paper simultaneously estimates the generalized stochastic production frontier and examines effects of exogenous factors on farm-level technical inefficiency. Findings Results of this study show that the average technical inefficiency of farms is 8.5 per cent in the sample. Further, inefficiency is lower in the frequently flood prone areas, and availability of government support helps reduce such inefficiency as well. However, technical efficiency is higher for the Muslim farm-households, and it decreases with greater land fragmentation. The study also finds that the use of primitive technology like bullock reduces technical efficiency of rice farming. Originality/value This paper is based on a novel data set that has specially been collected to examine productivity and efficiency of rice cultivation in the flood plains of Assam that has not been studied before. Further, to the best of the authors’ knowledge, this paper is the first one to model rice production as a multiple-output stochastic production frontier and analyze technical efficiency of rice production accordingly.

Multidimensional study of pulse production in Bundelkhand region of India

2017 ◽  
Author(s):  
Rajesh Kumar ◽  
S. K. Singh ◽  
Uma Sah
Keyword(s):  
Weed Management ◽  
Plant Protection ◽  
Uttar Pradesh ◽  
Madhya Pradesh ◽  
Farm Households ◽  
Rabi Season ◽  
Protection Measures ◽  
Production Practices ◽  
Growing Region ◽  
Pulse Production

The Bundelkhand is a major pulses growing region of India. The livelihood of farm households in the region dependent on the agriculture and particularly on pulses as one of the major cultivated crop. The Bundelkhand region comprises of 13 districts which includes 7 districts from Uttar Pradesh and 6 districts from Madhya Pradesh. The major growing pulse crops are pigeonpea, urdbean, and mungbean cultivated during kharif and chickpea, field pea and lentil in rabi season. The study was conducted among 650 farmers to know the extent of adoption of improved pulse production practices and constraints perceived by the farmers in cultivation of the pulses in Bundelkhand region. The study revealed that all the sampled farmers of Hamirpur district were using improved seed of pulses whereas fertilize was applied by all the sampled farmers of Chitrakut district. The plant protection measures used by all the selected farmers of Chitrakut, Jalaun and Mahoba districts. In Madhya Pradesh, about 90% selected farmers of Sagar and Tikamgarh district were using improved seed of pulses, application of DAP and pest management done by all the farmers. About 70% farmers of Jhansi and Mahoba district farmers faced the problem of assess to quality seed while 70 % sampled farmers of Madhya Pradesh reported lack of knowledge about quality seed, non availability of fertilizers in Tikamgarh district, problem in lentil crop. Problem of weed management reported by 60-80% of sampled farmers from all the district of M. P. Thus it can be concluded that assess to quality seed, insect damage loss and menance of blue bull were the major constraints adversely impacted the pulse production in Bundhelkhand region.

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