scholarly journals The associations of management and demographic factors with technical, allocative and economic efficiency of Irish dairy farms

2012 ◽  
Vol 150 (6) ◽  
pp. 738-754 ◽  
Author(s):  
E. KELLY ◽  
L. SHALLOO ◽  
U. GEARY ◽  
A. KINSELLA ◽  
F. THORNE ◽  
...  
Keyword(s):  
Economic Efficiency ◽  
Key Management ◽  
Returns To Scale ◽  
Demographic Variables ◽  
Data Envelopment ◽  
The European Union ◽  
Second Stage ◽  
Key Variables ◽  
Stage Analysis ◽  
Variable Returns To Scale

SUMMARYThe phasing out of the European Union (EU) milk quota will create opportunities for producers to expand without the constraint of quota which has limited expansion since 1984. Therefore, it will be necessary for Irish dairy producers to become more competitive by increasing performance using the least amount of inputs per unit of output and maximizing the level of technical and economic efficiency. The objectives of the current study were to measure technical, allocative and economic efficiency, and to investigate the associations of key management, qualitative and demographic characteristics on efficiency. Efficiency scores were calculated using the non-parametric methodology data envelopment analysis (DEA). The DEA results showed that on average the sample of Irish dairy producers were not fully efficient in 2008 with technical, allocative and economic efficiency results under variable returns to scale (VRS) of 0·771, 0·740 and 0·571, respectively. In a second stage analysis, Tobit regressions were used to determine the associations of key variables with the technical, allocative and economic efficiency scores. The efficiency scores were included as dependent variables and the key independent variables were a variety of management and demographic variables. Mean calving date, number of grazing days, breeding season length, milk quality, discussion group membership and soil quality were all associated with technical and economic efficiency. Milk recording, use of artificial insemination (AI) and level of dairy specialization were associated with allocative and economic efficiency only. Age and age squared were the only significant demographic associations with the efficiency scores.

scholarly journals Determinants of Efficiency in Health Sector: DEA Approach and Second Stage Analysis

2016 ◽  
Vol 2 (2) ◽  
pp. 83-92
Author(s):  
Rabia Adil ◽  
Muhammad Abbas ◽  
Asif Yaseen
Keyword(s):  
Returns To Scale ◽  
Health Sector ◽  
Time Span ◽  
Healthcare Sector ◽  
Data Envelopment ◽  
Asian Countries ◽  
Second Stage ◽  
Parametric Data ◽  
Stage Analysis ◽  
Constant Returns To Scale

There are several factors that influence the performance of health structure. Achieving efficiency in healthcare sector is the goal of every economy in the world. To accomplish this end, it is dominant to find out the efficiency. The present study is designed to measure the efficiency of selected Asian countries. A Non-parametric data envelopment analysis input-oriented approach under constant returns to scale is applied to measure the technical efficiency for the time span of 2012. By applying CRS model of DEA, 11 countries out of 26 are found to be efficient. The study provides suggestions to enhance the efficiency as well productivity of these Asian countries.

scholarly journals Efficiency of Estonian grain farms in 2000 2004

2008 ◽  
Vol 17 (1) ◽  
pp. 31 ◽  
Author(s):  
N. VASILIEV ◽  
A. ASTOVER ◽  
M. MÕTTE
Keyword(s):  
Parametric Method ◽  
Returns To Scale ◽  
Scale Efficiency ◽  
Small Scale ◽  
Data Envelopment ◽  
The European Union ◽  
New Member States ◽  
Farm Scale ◽  
Grain Farms ◽  
The Eu

The aim of this study is to analyse the efficiency of Estonian grain farms after Estonia’s transition to a market economy and during the accession period to the European Union (EU). The non-parametric method Data Envelopment Analysis (DEA) was used to estimate the total technical, pure technical and scale efficiency of Estonian grain farms in 2000–2004. Mean total technical efficiency varied from 0.70 to 0.78. Of the grain farms 62% are operating under increasing returns to scale. Solely based on the DEA model it is not possible to determine optimum farm scale and the range of Estonian farm sizes operating efficiently is extensive. The most pure technically efficient farms were the smallest and the largest but the productivity of small farms is low compared to larger farms because of their small scale. Therefore, they are the least competitive. Since pre-accession period to the EU, large input slacks of capital have replaced the former excessive use of labour and land. This raises the question about the effects on efficiency of the EU’s investment support schemes in new member states.;

scholarly journals The Efficiency of Waste Sector in Italy: An Application by Data Envelopment Analysis

2020 ◽  
Vol 24 (3) ◽  
pp. 225-238
Author(s):  
Massimo Gastaldi ◽  
Ginevra Virginia Lombardi ◽  
Agnese Rapposelli ◽  
Giulia Romano
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Returns To Scale ◽  
Sustainable Growth ◽  
Waste Reduction ◽  
Data Envelopment ◽  
Environmental Legislation ◽  
Dea Models ◽  
Developed Nations ◽  
Variable Returns To Scale

AbstractWith growing environmental legislation and mounting popular concern for the need to pursuing a sustainable growth, there has been an increasing recognition in developed nations of the importance of waste reduction, recycling and reuse maximization. This empirical study investigates both ecological and economic performances of urban waste systems in 78 major Italian towns for the years 2015 and 2016. To this purpose the study employs the non-parametric approach to efficiency measurement, represented by Data Envelopment Analysis (DEA) technique. More specifically, in the context of environmental performance we implement two output-oriented DEA models in order to consider both constant and variable returns to scale. In addition, we include an undesirable output – the total amount of waste collected – in the two models considered. The results show that there is variability among the municipalities analysed: Northern and Central major towns show higher efficiency scores than Southern and Islands ones.

scholarly journals Cost efficiency of the Czech and Slovak banking sectors: an application of the data envelopment analysis

2016 ◽  
Author(s):  
Iveta Palecková
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Banking Sector ◽  
Banking Industry ◽  
Returns To Scale ◽  
Data Envelopment ◽  
Cost Efficient ◽  
The Cost ◽  
Variable Returns To Scale

The aim of the paper is to estimate the cost efficiency of the Czech and Slovak commercial banks within the period 2010-2014. For empirical analysis the Data Envelopment Analysis input-oriented model with variable returns to scale is applied on the data of the commercial banks. The intermediation approach is adopted to define the inputs and outputs. The Czech commercial banks are more cost efficient than Slovak commercial banks. The development of average cost efficiency is similar in the Czech and Slovak banking industry. The most efficient Czech banks are Ceská sporitelna and Sberbank in the Czech banking sector, the most efficient Slovak bank is Privatbanka with 100% efficiency.

scholarly journals Does Access to Modern Marketing Channels Improve Dairy Enterprises’ Efficiency? A Case Study of Punjab, Pakistan

1998 ◽  
Vol 17 (1) ◽  
pp. 63-82
Author(s):  
Sana Sadaf ◽  
Khalid Riaz
Keyword(s):  
Returns To Scale ◽  
Marketing Channels ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Land Area ◽  
Fresh Milk ◽  
The Mean ◽  
Using Data ◽  
Variable Returns To Scale

The main objective of this study is to investigate how access to modern marketing channels impacts the efficiency of dairy enterprises. Using data on dairy farms in central Punjab (Sargodha), we carry out a nonparametric data envelopment analysis to measure their technical and scale efficiencies. The results show that, for the sample dairy enterprises, the mean technical efficiency under variable returns to scale was 0.89 while scale efficiency was 0.94. The results of a follow-on regression analysis support the hypothesis that the access to modern marketing channels, where payment for fresh milk is based on measured milk quality (fat content), improved efficiency. We find that efficiency is positively affected by the size of dairy operations, and negatively by the size of operational land area. Moreover, dairy enterprises with smaller herds tend to operate at a suboptimal scale, possibly due to credit and/or land constraints.

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