scholarly journals The relative efficiency of schizophrenia health care systems: an international comparison using data envelopment analysis

2020 ◽  
Vol 23 (10) ◽  
pp. 1186-1192
Author(s):  
James Weatherall ◽  
Jacob Simonsen ◽  
Brian L. Odlaug
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
International Comparison ◽  
Relative Efficiency ◽  
Health Care Systems ◽  
Data Envelopment ◽  
Care Systems ◽  
Using Data

scholarly journals Eficiencia del gasto en salud en la OCDE y ALC: un análisis envolvente de datos

2019 ◽  
pp. 41-78
Author(s):  
Daysi Sanmartín-Durango ◽  
Maria Alejandra Henao-Bedoya ◽  
Yair Tadeo Valencia-Estupiñan ◽  
Jairo Humberto Restrepo-Zea
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Parametric Method ◽  
Mortality Rates ◽  
Data Envelopment ◽  
Total Expenditure ◽  
Average Efficiency ◽  
The Caribbean ◽  
Using Data

This paper measures the efficiency of expenditure in health care in 62 countries of Latin America and the Caribbean (LAC) and the Organization for Economic Co-operation and Development (OECD), based on the ratio between the level of total expenditure (as percent of GDP) and some health results (life expectancy and mortality rates in children under five years of age per every 1000 children born alive). For this purpose, the non-parametric method data envelopment analysis was applied using data from 1995, 2005 and 2014 for each group. The results allow identifying the relative efficiency and position of the set of countries analysed within both groups of countries. In 2014, the most efficient countries in LAC were Chile, Cuba, Dominican Republic, Venezuela and Jamaica, whilst in the OECD these were Japan, Luxembourg and Turkey. The average efficiency of LAC countries turns out to be below that of the OECD (0.938 and 0.974, respectively).

scholarly journals Health Care Efficiency In Transition Economies: An Application Of Data Envelopment Analysis

2011 ◽  
Vol 7 (2) ◽  
Author(s):  
Sam Mirmirani ◽  
H.C. Li ◽  
Joseph A. Ilacqua
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Transition Economies ◽  
Health Care Systems ◽  
Financial Burden ◽  
Policy Implications ◽  
Data Envelopment ◽  
Care Systems ◽  
Care Costs ◽  
Health Care Efficiency

Health care costs are a financial burden for developing and transition economies which have experienced a faster growing demand on their health care systems while aiming to improve efficiency. As costs become more complex, attention has shifted to the efficiency of an entire system. Through system-wide assessments, countries with higher health care efficiency can be identified. These systems can be replicated to allow provision of good care at lower costs. Data Envelopment Analysis is used to measure health care efficiencies and to discuss policy implications.

Relative Efficiency of Universities Using Data Envelopment Analysis

2020 ◽  
pp. 78-100
Author(s):  
Tarig Hassan Al-Amin ◽  
Maged Mohamed Gazar
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Community Service ◽  
Relative Efficiency ◽  
Arab Countries ◽  
Data Envelopment ◽  
Hypothetical Data ◽  
Teaching Research ◽  
Using Data ◽  
Efficiency Indicators

The purpose of this chapter is to evaluate the relative efficiency of universities using data envelopment analysis (DEA). The authors developed a map of efficiency indicators of universities depending on the three main functions of any university; i.e., teaching, research, and community service. Using hypothetical data of 27 universities in a given country, the authors developed the inputs and outputs for each of the three main functions of the universities. The DEA revealed some interesting results concerning the efficient and inefficient universities, and how to improve the inefficient ones. Moreover, the DEA was better than the traditional accounting method for performance evaluation. The authors concluded with some recommendations to improve efficiency of universities through the teaching, research, and community service activities. Finally, some implications for the Arab countries were discussed.

scholarly journals Construction prequalification using data envelopment analysis

2005 ◽  
Vol 32 (1) ◽  
pp. 183-193 ◽  
Author(s):  
Brenda McCabe ◽  
Viet Tran ◽  
Joseph Ramani
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Construction Projects ◽  
Performance Standard ◽  
Data Envelopment ◽  
Construction Engineering ◽  
Engineering Data ◽  
Regional Performance ◽  
Using Data

Contractor prequalification is essential in most construction projects, and the process has been performed by many different methods in practice. Data envelopment analysis (DEA) had been recognized as a useful technique to prequalify contractors by assigning relative efficiency scores. Data envelopment analysis, however, usually requires a large amount of data and has not been fully developed to achieve reliable results. An enhanced contractor prequalification model using DEA was developed together with a methodology for determining a "practical frontier" of best contractors. The established practical frontier can be used as a regional performance standard for the owner in prequalification and as improvement guidelines for contractors.Key words: contractor prequalification, construction engineering, data envelopment analysis, practical frontier.

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