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.

Technical Efficiency Through Innovative Methods and Estimations in Financial Markets

2021 ◽  
pp. 55-70
Author(s):  
Aikaterini Kokkinou
Keyword(s):  
Financial Markets ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Efficiency Estimation ◽  
Non Parametric

This paper investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). This chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency in financial markets level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level. This chapter investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). More specifically, this chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency, its industrial level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level.

scholarly journals ANALISIS EFISIENSI USAHA TERNAK SAPI PERAH MENGGUNAKAN STOCHASTIC FRONTIER ANALYSIS

Bina Ekonomi ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 27-42
Author(s):  
Luxy Lutfiana Rachmawati ◽  
Fitri Kartiasih
Keyword(s):  
Technical Efficiency ◽  
Milk Production ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Stochastic Production Frontier ◽  
Frontier Analysis ◽  
Self Sufficiency ◽  
Negative Effect ◽  
Stochastic Production ◽  
Positive Effect

The Milk Self-sufficiency Program that is targeted to be reached by the year of 2020 is threatened by the increasing of milk imports. Local milk production can only meet 18 to 20 percent of the national milk demand. This study aims to investigate the level of technical efficiency of the people's small hold farmers’ cattles in Java and to analyze factors that influence milk production using Stochastic Frontier Analysis. The results showed that the feed per animal per day had a positive effect on the average milk production per animal per day; while the size of cage per animal had a negative effect. The average level of efficiency of dairy cattle business in Java is 83.56 percent, but statistically there are effects of inefficiency in this business. Factors that influence the inefficiency of livestock businesses are: the farmer’s age, the farmer’s educational level, participation of the farmers in cooperatives and farmer groups.Keywords: dairy cows; Stochastic Production Frontier; technical efficiency

scholarly journals PROFITABILITY AND EFFICIENCY OF DAIRY FARMING IN SLEMAN REGENCY

Agric ◽  
2021 ◽  
Vol 32 (2) ◽  
pp. 173-188
Author(s):  
Muhammad Fauzan
Keyword(s):  
Data Analysis ◽  
Technical Efficiency ◽  
Milk Production ◽  
Stochastic Frontier ◽  
Dairy Farming ◽  
Production Costs ◽  
Production Functions ◽  
Health Examination ◽  
Average Income ◽  
Dairy Farmers

The eruption of Mount Merapi has caused a serious impact on dairy farming in Sleman Regency. The death of livestock and the destruction of forage has decreased the income of dairy farmers, which is the main livelihood of the community. This study aims to analyze the profitability, the factors that influence the level of milk production, the level of technical efficiency, and the factors that cause the in-efficiency of dairy farming in Sleman Regency. This study used a questionnaire on 62 respondents. Analysis of profitability and production functions of the stochastic frontier is used for data analysis. The results showed that the business activities of dairy farming in Sleman Regency were profitable businesses with an average income from cash production costs per year is Rp. 18,347,565.38 per livestock business or Rp. 6,437,742.24 per unit of livestock. Factors that influence milk production were concentrate feed and the amount of livestock ownership. The level of technical efficiency of dairy farmers is 88.9%. The level of technical efficiency was influenced by the age of the farmer and animal’s health examination.

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 Market Structure, International Competitiveness, and Price Formation of Hainan’s Fruit Exports

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hailing Fu ◽  
Chongli Huang ◽  
Zhuoqi Teng ◽  
Yuantao Fang
Keyword(s):  
Bargaining Power ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
International Competitiveness ◽  
Production Costs ◽  
Analysis Model ◽  
Frontier Analysis ◽  
Index Model ◽  
Gradual Loss ◽  
Constant Market Share

Through a constant market share (CMS) model and a price index model, current research aims to analyze the impetus of the growth of Hainan, China’s fruit exports and the adverse impact of rising production costs. This paper considered the changes in the international competitiveness of Hainan’s fruit exports and analyzed the reasons for these changes. Additionally, this manuscript analyzed the effects of Hainan’s price-bargaining power on fruit exports under the condition of asymmetric information by applying a two-tier stochastic frontier analysis model. The results show that the rising costs of labor led to the gradual loss of price advantage, and the contribution of competitiveness to the growth of Hainan’s fruit exports has rapidly declined. The results also indicate that the degree of information held by both importers and Hainan has an important influence on the final exporting price, whereas the importers hold more information and have stronger price-bargaining power than Hainan. Policy suggestions based on the results are proposed.

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.

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