Notice of Retraction: Relative efficiency evaluation of Chinese health care system based on data envelopment analysis (DEA) model

2010 ◽  
Author(s):  
Feng Zhou ◽  
Yuan-Biao Zhang
Keyword(s):  
Health Care ◽  
Data Envelopment Analysis ◽  
Health Care System ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Dea Model ◽  
Care System

DEA by sequential exclusion of alternatives in heterogeneous samples

2016 ◽  
Vol 15 (01) ◽  
pp. 5-22 ◽  
Author(s):  
Fuad Aleskerov ◽  
Vsevolod Petrushchenko
Keyword(s):  
Data Envelopment Analysis ◽  
New Method ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Dea Model ◽  
Economic Applications ◽  
Heterogeneous Samples ◽  
Efficiency Estimation ◽  
Dea Approach ◽  
Russian Universities

Data Envelopment Analysis (DEA) is a well-known nonparametric technique of efficiency evaluation which is actively used in many economic applications. However, DEA is not very well applicable when a sample consists of firms operating under drastically different conditions. We offer a new method of efficiency estimation in heterogeneous samples based on a sequential exclusion of alternatives and standard DEA approach. We show a connection between efficiency scores obtained via standard DEA model and the ones obtained via our algorithm. We also illustrate our model by evaluating 28 Russian universities and compare the results obtained by two techniques.

scholarly journals Alternative Secondary Goals in Multiplicative Two-Stage Data Envelopment Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chao Lu ◽  
Haifang Cheng
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Nonparametric Method ◽  
Two Stage ◽  
Dea Model ◽  
Second Stage ◽  
China Construction Bank ◽  
Overall Efficiency ◽  
Decision Making Units

Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of a set of decision-making units (DMUs) with multiple inputs and outputs. As an extension of the DEA, a multiplicative two-stage DEA model has been widely used to measure the efficiencies of two-stage systems, where the first stage uses inputs to produce the outputs, and the second stage then uses the first-stage outputs as inputs to generate its own outputs. The main deficiency of the multiplicative two-stage DEA model is that the decomposition of the overall efficiency may not be unique because of the presence of alternate optima. To remove the problem of the flexible decomposition, in this paper, we maximize the sum of the two-stage efficiencies and simultaneously maximize the two-stage efficiencies as secondary goals in the multiplicative two-stage DEA model to select the decomposition of the overall efficiency from the flexible decompositions, respectively. The proposed models are applied to evaluate the performance of 10 branches of China Construction Bank, and the results are compared with the results of the existing models.

scholarly journals Comprehensive Assessment of the Efficiency and Sustainability of the Regional Health Care System

2021 ◽  
Vol 17 (1) ◽  
pp. 31-43
Author(s):  
V.A. Chereshnev ◽  
N.V. Krivenko ◽  
V.G. Krylov
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Relative Efficiency ◽  
Objective Assessment ◽  
Comprehensive Assessment ◽  
World Health ◽  
Risk Level ◽  
Regional Health ◽  
Regional Health Care ◽  
Care System

Nowadays, the sustainability of the health care system is a relevant research topic. The works of Russian scientists demon- strate the lack of a systematic approach to determining the efficiency and sustainability of the Russian health care. International experience and the data of the Regional Office for Europe of the World Health Organization (WHO) show that, despite exten- sive research, efficiency indicators of the health care system have been insufficiently developed. Using the methods of multidi - mensional comparative analysis, determined factor analysis, structural analysis, expert assessment, statistical modelling and forecasting methods, we developed a methodology for the comprehensive assessment of the efficiency and sustainability of the regional health care system. The methodological toolkit includes the comprehensive assessment of the relative efficien cy and relative sustainability of the regional health care system based on the established integral indicators. We tested this methodol- ogy on the example of the health care system of Sverdlovsk Oblast in the period 2017–2018. Integral indicators of the relative efficiency are directly influenced by the indicators of medical and social performance, which largely depend on the funding and management of the health care system. Simultaneously, the indicators of the relative efficiency can be high even if the indicators of the relative sustainability did not reach the established threshold. An integral indicator of the risk level considers the need to maintain the sustainability of the health care system for its functioning and development. Further, we constructed an interactive model for determining the risk zone and safe zone of the health care system. Due to its versatility, the proposed methodological toolkit allows an objective assessment of the efficiency and sustainability of the regional health care system

scholarly journals RELATIVE EFFICIENCY MEASUREMENT OF THE EDUCATIONAL SCHOOLS FROM THE PERSPECTIVE OF DATA ENVELOPMENT ANALYSIS (DEA) -CASE STUDY

2014 ◽  
Vol 2 (12) ◽  
pp. 1-13
Author(s):  
YOUCEF SOUAR ◽  
AMER IMANE ◽  
TALHA AEK
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Dea Model ◽  
Shed Light ◽  
Search Paper

The aim of this search paper is to shed light on the relative efficiency measurement of the educational schools presented in the sample composed by 33 schools from the perspective of data envelopment analysis (DEA) (Model CRS is oriented input) for the period 2010-2013, where the number of efficient institutions 16 , and 17 inefficient institutions.

scholarly journals Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 889
Author(s):  
Chia-Nan Wang ◽  
Hoang-Phu Nguyen ◽  
Cheng-Wen Chang
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Undesirable Output ◽  
Dea Model ◽  
Asian Economies ◽  
Dea Method ◽  
Bad Outputs

Sustainable development has become a global catchphrase in the recent development age. This leads to the growth of various methodologies in evaluating environmental efficiency, such as the Data Envelopment Analysis (DEA) method. The purpose of this study is to propose an extended DEA model, i.e., the undesirable output model, in measuring the relative eco-efficiency scores across nations. The study collected the data of inputs, namely bad outputs and good outputs of the top 20 Asian economies in the period of 2005–2019, and then estimated the environmental efficiency of each country and classified them. The results have shown that there are four nations having higher average environmental efficiency than others. Japan is a good example of sustainable development that simultaneously balances economic development and environmental protection. The study has also discussed possible solutions for improvement to the group of nations with low environmental efficiency. Contributing to applying a novelty extended DEA model, this work recommends a more precise model, taking the weight of outputs into account for further studies.

ANALISIS KINERJA INDUSTRI MANUFAKTUR DI JAWA TENGAH: APLIKASI DEA MODEL VRS

2018 ◽  
Vol 4 (1) ◽  
pp. 1-9
Author(s):  
Bhimo Rizky Samudro ◽  
Yogi Pasca Pratama
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Manufacturing Industry ◽  
Data Envelopment ◽  
Input Unit ◽  
Dea Model ◽  
Constant Return ◽  
Central Java ◽  
Production Output ◽  
Central Java Province

This study aims to estimate the level of efficiency of the manufacturing industry in Central Java Province. The position of the manufacturing industry in Central Java between two clusters of Jakarta-Bandung and Surabaya were the justification for the urgency of this research. The concept of relative efficiency with format Constant Return to Scale (CRS) and the Variable Return to Scale (VRS) was used as the theoretical framework of this research. The concept was applied by the method of Data Envelopment analysis (DEA) to describe the level of efficiency of the manufacturing industry sub-sector in Central Java province in 2016. The study also describes a way of increasing efficiency in production output for the manufacturing sub-sector classified as inefficient. DEA model used in this study is the CRS and VRS with the orientation of the output (output-oriented)The results of this study indicate that the apparel sub-sector; wood and processing; machinery and equipment; as well as furniture and processing is a sub-sector of manufacturing industry in Central Java in 2016 were classified as inefficient. Sub sectors using too much input unit, thus creating inefficient production levels relative to other sub-sectors.

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).

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