scholarly journals A stochastic frontier analysis on farm level technical efficiency in Zimbabwe: A case of Marirangwe smallholder dairy farmers

2015 ◽  
Vol 7 (6) ◽  
pp. 237-242 ◽  
Author(s):  
Masunda Stein ◽  
Rudo Chiweshe Amanda
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farmers ◽  
Frontier Analysis ◽  
Farm Level ◽  
Smallholder Dairy ◽  
On Farm

scholarly journals Farm Structure And Efficiency In The Hungarian Agriculture

2015 ◽  
Vol 4 (2) ◽  
pp. 51-56
Author(s):  
Orsolya Tóth ◽  
István Takács
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Farm Size ◽  
Empirical Literature ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Legal Forms ◽  
On Farm

Abstract It has long been the subject of empirical researches to examine the technical efficiency on farm (micro) level. Two main methods are most often used in the empirical literature: the non-parametric Data Envelopment Analysis (DEA) based on linear programming, and the Stochastic Frontier Analysis (SFA) introduced by Aigner, Lovell and Schmidt (1977). The present study aimed to investigate the technical efficiency of farms involved in agricultural activities in Hungary using the DEA-method and the data from the Hungarian FADN database. The technical efficiency was examined based on legal forms, farm size categories and the type of farming between 2001 and 2013.

scholarly journals Investigation of wheat efficiency and productivity development in Slovakia 

2012 ◽  
Vol 52 (No. 8) ◽  
pp. 368-378
Author(s):  
S. Covaci ◽  
Z. Sojková
Keyword(s):  
Empirical Evidence ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Time Varying ◽  
Stochastic Frontier Model ◽  
Frontier Analysis ◽  
Time Period ◽  
On Farm ◽  
Efficiency And Productivity

This study has focused on two main tasks: verifying the suitability of using stochastic frontier analysis on a transforming sector, and providing empirical evidence to explain the technical efficiency structure among farms in the time period 2000–2004. Two stochastic frontier model specifications were employed, the Battese and Coelli 1992 specification with the systematically time-varying inefficiency effect, and the Battese and Coelli 1995 one stage specification explaining technical inefficiency based on farm-specific variables. Our analyses were carried out at the commodity level, wheat production, where the accessibility of a data panel allowed us to enrich the calculation of the level of technical efficiency by the analysis of productivity changes within the chosen period of time, supports this idea as well. 

scholarly journals Analisis Efisiensi Teknis pada Usaha Peternakan Sapi Perah Rakyat di Kecamatan Lembang (Technical Efficiency Analysis of Smallholder Dairy Farming at Lembang)

1970 ◽  
Vol 4 (2) ◽  
pp. 46-56
Author(s):  
Anggraeni Efrika Cahyawati ◽  
Bagus Priyo Purwanto ◽  
Suryahadi Suryahadi
Keyword(s):  
Technical Efficiency ◽  
Production Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farming ◽  
Ratio Test ◽  
Frontier Analysis ◽  
Lactating Cows ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farming

This study aims to analyze the level of techincal production efficiency of smallholder dairy farming at Lembang, West Java Province. Data were collected from selected 60 farmers by using proportionate stratified judgemental sampling method. The respondents were categorized into two groups based on lactating cow : category 1 = 1-5 lactating cows, and category 2 = 6-10 lactating cows. Each category comprised of 30 respondents. The data analysis in this study used stochastic frontier production. The result of the analysis of category 2 indicated that the presence of technical inefficiency had effects in milk production by the significant estimated gamma coefficient, the likelihood ratio test and the predicted technical within farmers. The estimated gamma parameter (ɣ) of model for production function was 0.99, indicating about 99 percent of variation in output milk among farmers was due to differences in their technical efficiencies. The result indicated that smallholder dairy farming in Lembang is efficient with an average of technical efficiency of 91 percent. Factors influencing production efficiency are farmer's age, farming experience, and livestock ownership.Keywords : dairy farms, technical efficiency, stochastic frontier analysis

scholarly journals TECHNICAL EFFICIENCY ESTIMATION OF DAIRY FARMING IN KOSOVO

New Medit ◽  
2019 ◽  
Vol 18 (3) ◽  
pp. 77-84
Author(s):  
Arben Musliu ◽  
Blend Frangu ◽  
Jennie S. Popp ◽  
Nathan Kemper ◽  
Michael Thomsen
Keyword(s):  
Technical Efficiency ◽  
Milk Production ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Research Data ◽  
Production Costs ◽  
Dairy Farmers ◽  
Frontier Analysis ◽  
Efficiency Estimation ◽  
Feed Costs

The aim of this research paper is to assess the technical efficiency (TE) of milk production in Kosovo using the stochastic frontier analysis. Research data are collected through surveys from 100 commercially oriented dairy farmers. The study finds that TE of milk production by most of these farms is high. Using the Cobb-Douglas production function, individual measures of TE range from 0.87 to 0.98 (on a scale of 0 to 1.00) with the average being 0.95. There were 57 farms with TE greater than 0.95 and 35 farms with TE less than 0.95. In the study’s sample, female dairy farmers have roughly the same mean TE of 0.95 as male dairy farmers. The variation in milk production among the sampled farms was modeled in terms of concentrate and forage feed costs and pre-production costs. The study suggests that concentrate feed and pre-production costs can significantly influence TE of milk production among Kosovar dairy farms.

scholarly journals Technical Efficiency of Smallholder Tomato Production in Semi-Urban Farms in Cameroon: A Stochastic Frontier Production Approach

2017 ◽  
Vol 7 (4) ◽  
pp. 27 ◽  
Author(s):  
Martin Paul Jr. Tabe-Ojong ◽  
Ernest L. Molua
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Smallholder Farmers ◽  
Research Question ◽  
Stochastic Frontier ◽  
Negative Influence ◽  
Farm Size ◽  
Primary Data ◽  
Tomato Production ◽  
Frontier Analysis

Agriculture is the mainstay of Cameroon’s economy as it serves the purposes of food, livelihood and employment. Nevertheless, the country’s agriculture is plagued by low productivity and inefficiency in production. One of the main reasons for low productivity is the inability of farmers to fully exploit available technologies and production techniques. An important research question that comes to mind is, what are the major factors that hinder the technical efficiency of smallholder farmers? This study thus aimed to determine the level of technical efficiency in the production of tomato in smallholder farms, relying on primary data collected using a structured survey instrument administered to 80 tomato farmers in the Buea municipality of Cameroon. Data was analyzed using descriptive statistics and a stochastic frontier analysis method in the Cobb-Douglas production function. The STATA.14 software was used to obtain both stochastic frontier estimates and the determinants of technical efficiency. The results indicate that farmers are not fully technically efficient with a mean technical efficiency score of 0.68 with one farmer operating on the frontier. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. The older farmers were observed with the best measures of technical efficiency. Education, age and the adoption and practice of agronomic techniques had a positive and significant influence on technical efficiency while the nearest distance to the extension agent had a rather negative influence on technical efficiency. The input-output relationship showed that the area of tomato cultivation and the quantity of improved seed used were positive and significantly related to output at the 5% level of probability. As a result, it is recommended that farmers should increase their farm size, use of improved seeds and the adoption and practice of novel techniques in production. More emphasis should be placed on extension agents as they have a significant role to play in terms of improving and augmenting farmers’ education and information base through on farm demonstrations and result oriented workshops as all this will ensure increased production and productivity thereby increasing technical efficiency and achieving food self-sufficiency.

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 Technical Efficiency among Pepper Farmers in Sarawak, Malaysia: A Stochastic Frontier Analysis

2020 ◽  
Vol 10 (3) ◽  
pp. 729-739
Author(s):  
Anita Rosli ◽  
Alias Radam ◽  
Khalid Abdul Rahim ◽  
Amin Mahir Abdullah
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Agricultural Practices ◽  
Piper Nigrum ◽  
Maximum Output ◽  
Full Time ◽  
Frontier Analysis ◽  
One Step ◽  
The Mean

This study aimed to estimate the technical efficiency among pepper (Piper nigrum. L) farmers in Sarawak, Malaysia, using Stochastic Frontier Analysis (SFA). SFA involves a one-step process that can estimate technical inefficacy factors simultaneously with the production frontier. 678 pepper farmers were involved in this study, and the data were collected from 2012 to 2013. The mean score for technical efficiency was 0.518, indicating that pepper farmers were not efficient. However, the inefficiency model showed that education level, membership in farmers’ association, full-time as a pepper farmer, attending courses and visiting sample farms were factors that significantly improved inefficiency. The major problem of pepper farming in Sarawak is poor agricultural practices where farmers do not fully utilize the available agricultural inputs to produce maximum output. Based on the findings, farmers must improve their knowledge and skills in pepper farming through agronomic education.

scholarly journals The trends in efficiency of Lithuanian dairy farms: a semiparametric approach

2015 ◽  
Vol 37 (2) ◽  
pp. 167-178 ◽  
Author(s):  
Tomas Baležentis ◽  
Tianxiang Li ◽  
Alvydas Baležentis
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Dairy Farms ◽  
Random Coefficients ◽  
Family Farms ◽  
Frontier Analysis ◽  
Semiparametric Approach ◽  
Farm Accountancy Data Network ◽  
Development Paths

This study aims at analysing the trends in efficiency of Lithuanian dairy farms and thus identifying the prospective development paths. The semiparametric approach based on nonparametric regression and Stochastic Frontier Analysis is applied for the analysis. The research relies on Farm Accountancy Data Network and covers family farms. The period of 2004–2011 is considered. In order to identify the underlying trends in dairy farming, we focus on such features as technical efficiency, partial elasticities, and elasticity of scale. The semiparametric approach yielded rather high efficiencies. Specifically, the average technical efficiency of 89% was observed. A decline in technical efficiency during 2004–2011 is present for both point estimates and associated bounds of the confidence interval. Analysis of the elasticity of scale implies that most of the farms could still increase their scale of operation. The obtained results were confirmed by a parametric random coefficients model.

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