scholarly journals Improving the technical efficiency and productivity of dairy farms in Greece

2021 ◽  
Vol 123 (2) ◽  
pp. 95-100
Author(s):  
Ioannis Mitsopoulos ◽  
Maria Tsiouni ◽  
Aleksandra Pavloudi ◽  
Dimitrios Gourdouvelis ◽  
Stamatios Aggelopoulos
Keyword(s):  
Dairy Cattle ◽  
Technical Efficiency ◽  
Economic Viability ◽  
Data Envelopment ◽  
Current State ◽  
Parametric Data ◽  
The Mean ◽  
Dea Method ◽  
Cattle Farms ◽  
Efficiency And Productivity

This paper aims to examine the current state of dairy cattle farming in Greece, to identify factors that aff ect its profitability, and to analyse the efficiency of farms, using the non-parametric Data Envelopment Analysis (DEA) method. It also assesses the economic viability of dairy cattle farms by quantifying the technical efficiency of their processes, with a view to suggesting measures that may serve to improve competitiveness. Results have shown that the mean technical efficiencies estimated for the CRS and VRS DEA approaches are 0.693 and 0.754 respectively, indicating that 30.7% and 21.6% equiproportional decreases in inputs are feasible, given the level of outputs and the production technology.

scholarly journals BANKING SECTOR EFFICIENCY: A DEA AND TIME SERIES APPROACH

Ekonomika ◽  
2010 ◽  
Vol 89 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Fadzlan Suflan
Keyword(s):  
Technical Efficiency ◽  
Banking Sector ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
New Approach ◽  
Time Series Approach ◽  
The Mean ◽  
Dea Method

The paper provides a new approach to modeling bank efficiency. Unlike previous bank efficiency studies, the present paper employs the data envelopment analysis (DEA) method on quarterly data to construct the efficiency frontiers. The Malaysian banking sector is used for a case study. The results show that the Malaysian banking sector has exhibited the mean technical efficiency of 97.3%, suggesting the minimal input waste of 2.7%. The empirical findings suggest that the pure technical efficiency outweighs the scale efficiency in determining the Malaysian banking sector’s technical efficiency. The results imply that, although the Malaysian banking sector has been efficient in managerial terms, it has been operating at a non-optimal scale of operations.p>

scholarly journals INTERTEMPORAL EFFICIENCY AND PRODUCTIVITY CHANGING ON TELECOMMUNICATION INDUSTRY (TI) IN ASEAN-5

2021 ◽  
Vol 6 (1) ◽  
pp. 123
Author(s):  
Dyah Wulan Sari ◽  
Lusi Sulistyaningsih ◽  
Haura Azzahra Tarbiyah Islamiya ◽  
Wenny Restikasari
Keyword(s):  
Technical Efficiency ◽  
Malmquist Index ◽  
Primary Source ◽  
Efficiency Score ◽  
Productivity Change ◽  
Telecommunication Industry ◽  
Data Envelopment ◽  
The Mean ◽  
Intertemporal Efficiency ◽  
Efficiency And Productivity

The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5  JEL Classifications: L8, F6, O5, O1, O3

scholarly journals The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia

2008 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Empirical Evidence ◽  
Financial Institutions ◽  
Economies Of Scale ◽  
Financial Intermediaries ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Parametric Data ◽  
Dea Method

This paper investigates the performance of Malaysian non-bank financial institutions during the period of 2000-2004. Several efficiency estimates of individual NBFIs are evaluated using the non-parametric Data Envelopment Analysis (DEA) method. The findings suggest that during the period of study, scale inefficiency outweighs pure technical inefficiency in the Malaysian NBFI sector. We find that the merchant banks have exhibited a higher, technical efficiency compared to their peers. The empirical findings suggest that scale efficiency tends to be more sensitive to the exclusion of risk factors, implying that potential economies of scale may be overestimated when risk factors are excluded.  

EVALUATING THE EFFICIENCY OF VIETNAM BANKS USING DATA ENVELOPMENT ANALYSIS

2021 ◽  
pp. 2150010
Author(s):  
DO THI THANH NHAN ◽  
KIM-HUNG PHO ◽  
DANG THI VAN ANH ◽  
MICHAEL MCALEER
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Data Envelopment ◽  
Resource Analysis ◽  
Scientific Disciplines ◽  
Business Efficiency ◽  
Dea Method ◽  
Using Data

Efficiency is a topic of great interest because its applications are diverse and rich. It is applied greatly in all scientific disciplines, especially accounting for a very large proportion in economics, finance and accounting. The main objective in this paper is to analyze the effectiveness of banks in Vietnam. In order to investigate this issue, there are several implements to examine bank effectiveness where the data envelopment analysis (DEA) method is widely used. This paper presents details of the DEA method. Using the data collected from banks in Vietnam for the period 2014–2017, the approach is executed to investigate issues of technical efficiency, resource analysis and business efficiency of banks in Vietnam.

Productivity changes in Indian steel plants: DEA approach

2018 ◽  
Vol 35 (5) ◽  
pp. 1093-1114 ◽  
Author(s):  
Pankaj Kumar ◽  
J. Maiti
Keyword(s):  
Technical Efficiency ◽  
Management Control ◽  
Data Envelopment ◽  
Content Type ◽  
Multiple Input ◽  
Output Factors ◽  
Productivity Indices ◽  
Changes Over Time ◽  
Efficiency And Productivity

Purpose The purpose of this paper is to evaluate the technical efficiency and productivity changes in the integrated steel plants in India over a period of five years. Design/methodology/approach Since this evaluation of integrated steel plants needs consideration of multiple input and output factors, data envelopment analysis (DEA) has been employed including bootstrapping (to account for statistical noise) to evaluate the relative efficiency of the steel manufacturing units. The efficiency and Malmquist productivity indices of a sample of ten integrated steel plants producing around 55 percent of the industry’s output were determined for the period 2008-2013. The results of these changes were further categorized according to the management control, route followed to produce crude steel, size and age of these steel plants, for gaining insights. Findings The study finds that private sector steel plants with larger capacity and which have adopted the latest and most modern technologies are more efficient and productive over the study period. Practical implications Public sector steel plants should therefore be provided with more autonomy and delegation of power and should be agiler in responding to market requirements as well as increasing their installed capacities to be competitive in technical efficiency and productivity as well as profitability in the long term to ensure sustainable achievements. Originality/value Productivity changes over time, both with respect to technological and efficiency changes, for the Indian integrated steel plants producing comparable products using DEA.

EFFICIENCY AND PRODUCTIVITY CHANGE IN FIELD CROP AND MILK FARMS IN LUBLIN PROVINCE IN 2014-2016

2018 ◽  
Vol XX (1) ◽  
pp. 137-142
Author(s):  
Alina Syp ◽  
Dariusz Osuch
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Dairy Farms ◽  
Productivity Change ◽  
Data Envelopment ◽  
Field Crop ◽  
Dea Model ◽  
Malmquist Indices ◽  
Efficiency And Productivity ◽  
Efficiency Indicators

The aim of the study was assessment of efficiency and productivity of farms in the Lublin province in the years 2014-2016. The analysis was based on the Data Envelopment Analysis (DEA) model oriented on inputs and Malmquist indices with its components. The calculations were made for medium-sized field and dairy farms that continuously collected data for the FADN system during the period under consideration. In our research all efficiency indicators for dairy farms were larger than for field crop farms. In the years 2014-2016, the average technical efficiency of dairy farms was 0.752, which means that in those farms it is possible to reduce inputs on average by 25% and the value of production will remain at the same level. In the case of field crop farms, inputs should be limited by 33%. The applied decomposition of calculated Malmquist indices allowed to define what factors influenced changes in productivity.

Measuring technical, allocative and economic efficiencies of dairy farms in western Turkey

2016 ◽  
Author(s):  
Mustafa Terin ◽  
Murat Kulekci ◽  
Ibrahim Yildirim
Keyword(s):  
Data Envelopment Analysis ◽  
Dairy Cattle ◽  
Agricultural Development ◽  
Dairy Farms ◽  
The Other ◽  
Data Envelopment ◽  
Western Turkey ◽  
Current Output ◽  
Production Value ◽  
Cattle Farms

A study was conducted to determine the input efficiencies of 43 dairy cattle farms under the aegis of Agricultural Development Cooperative in Erikler Village of Center Town of Kirklareli Province in Western Turkey. Data envelopment analysis was used. The technical, allocative and economical efficiencies were found to be as 0.66, 0.43 and 0.23 respectively. The analysis results showed that only 23.26% of the farms were efficient (they had constant return to scale) regarding the usage of major inputs while the remaining 76.74% had increasing return to scale, indicating that these farms could maintain the current output with decreasing current inputs. The current output (gross production value) per cow could be maintained by saving 46.56, 46.72, 42.96, and 45.20% dry weed (kg), straw (kg), concentrated feed (kg), and labour (hour), respectively along with 39.82% veterinary and 46.73% the other expenses.

scholarly journals The Analysis of Tuberculosis Funds Efficiency on High Burden Countries

2019 ◽  
Author(s):  
Estro Dariatno Sihaloho ◽  
Adiatma Y.M Siregar
Keyword(s):  
Technical Efficiency ◽  
High Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
High Burden ◽  
Marginal Effects ◽  
Dea Method ◽  
Low Efficiency ◽  
Using Data ◽  
Global Health Problem

Tuberculosis remains a major global health problem and ranks as the second leading cause of death from infectious disease worldwide. Countries devote their budgets to overcome the tuberculosis problem. An efficient use of these budgets will arguably reduce the number of tuberculosis cases and eventually give a positive impact to the economy. This paper aims it aims to estimate the technical efficiency scores of tuberculosis funds on high-burden countries by using Data Envelopment Analysis(DEA) method. Further, this study analyzes other environmental factors that are crucial to increase the efficiency scores by using Tobit method. DEA shows that some countries exhibit high efficiency scores while others exhibit low efficiency scores. It also informs how countries use funds to maximize their results. Meanwhile, the Tobit estimation shows that taxing cigarettes and committing budgets to control tobaccos have positive marginal effects on technical efficiency scores.

scholarly journals Implementation of Data Envelopment analysis (DEA) in measuring the efficiency zakat fund management

2019 ◽  
Vol 1 (1) ◽  
pp. 50-57
Author(s):  
Tsalis Syaifuddin
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Fund Management ◽  
Improve Performance ◽  
Output Variable ◽  
Travel Costs ◽  
Parametric Data ◽  
Dea Method ◽  
Input Variables ◽  
Output Variance

This study aims to determine the efficiency level of management of zakat funds at the National Zakat Amil Agency (BAZNAS). The author uses the quantitative non-parametric Data Envelopment Analysis (DEA) method. Total assets, promotion, and documentation costs, and official travel costs as input variables. Whereas the output variance consists of receiving zakat funds and distributing zakat funds. The results showed that BAZNAS experienced efficiency in 2012-2014 and 2017 with a score of 100%. Inefficiencies occurred in 2015 at 79.16% and in 2016 amounted to 98.72%. In 2015-2016, all input variables experienced inefficiency, while the output variable was the only inefficient distribution of zakat funds. In overcoming, inefficiencies can be adjusted between the target and actual quantities specified in the DEA calculation. The author recommends that BAZNAS pay attention to the causes of inefficiency so that it can improve performance better.

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.

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