scholarly journals Evaluation of Health Resource Allocation Efficiency Based on Data Envelopment Analysis 2014–2018 in Two Dimensions of Time-Region

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lina Liu ◽  
Wei Xu ◽  
Yixuan Su ◽  
Xv Zhou
Keyword(s):  
Health Care ◽  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Health Resources ◽  
Two Dimensions ◽  
Current Status ◽  
Time Interval ◽  
Data Envelopment ◽  
Efficient Operation ◽  
Supply Level

Since the new health care reform, China’s health care system has become increasingly mature and perfect, and the health awareness and needs of residents have also increased, which has raised higher requirements for the scientific understanding of the current status of health care resource allocation and making it achieve the goal of efficient operation. This paper evaluates the allocation of health resources in China from 2014 to 2018 in two dimensions: time and space by reviewing the China Health and Health Statistical Yearbook from 2014 to 2020, collecting data on the number of medical institutions, number of beds, per capita medical budget expenditure, number of consultations, and bed utilization rate during the study time interval, and analyzing them using data envelopment analysis. The results show that there are regional differences in the supply level of medical and health resources in China. Although the supply level is mainly on the rise, there are differences in the supply level of medical and health resources among provinces. The polarization phenomenon exists between eastern, central, and western regions, the urban and rural areas, the urban hospitals, and grassroots-level health care organizations.

scholarly journals Data Envelopment Analysis Applications on Primary Health Care Using Exogenous Variables and Health Outcomes

2021 ◽  
Vol 13 (3) ◽  
pp. 1337
Author(s):  
Silvia González-de-Julián ◽  
Isabel Barrachina-Martínez ◽  
David Vivas-Consuelo ◽  
Álvaro Bonet-Pla ◽  
Ruth Usó-Talamantes
Keyword(s):  
Health Care ◽  
Factor Analysis ◽  
Data Envelopment Analysis ◽  
Pharmaceutical Expenditure ◽  
Healthcare Services ◽  
Data Envelopment ◽  
Exogenous Variables ◽  
Healthcare Resources ◽  
Explanatory Variables ◽  
Primary Health

A data envelopment analysis was used to evaluate the efficiency of 18 primary healthcare centres in a health district of the Valencian Community, Spain. Factor analysis was used as a first step in order to identify the most explanatory variables to be incorporated in the models. Included as variable inputs were the ratios of general practitioners, nurses, and costs; as output variables, those included were consultations, emergencies, avoidable hospitalisations, and prescription efficiency; as exogenous variables, those included were the percentage of population over 65 and a multimorbidity index. Confidence intervals were calculated using bootstrapping to correct possible biases. Efficient organisations within the set were identified, although the results depend on the models used and the introduction of exogenous variables. Pharmaceutical expenditure showed the greatest slack and room for improvement in its management. Data envelopment analysis allows an evaluation of efficiency that is focussed on achieving better results and a proper distribution and use of healthcare resources, although it needs the desired goals of the healthcare managers to be clearly identified, as the perspective of the analysis influences the results, as does including variables that measure the achievements and outcomes of the healthcare services.

Measuring and Evaluating Efficiency on IT Outsourcing operations through Data Envelopment Analysis

2016 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
João Correia dos Santos ◽  
Miguel Mira da Silva
Keyword(s):  
Data Envelopment Analysis ◽  
Design Science ◽  
Science Research ◽  
Business Environment ◽  
It Outsourcing ◽  
Data Envelopment ◽  
It Services ◽  
Programming Technique ◽  
Efficient Operation ◽  
Measuring Efficiency

Information Technology (IT) outsourcing is a set of IT services that require providers to manage a long relationship with multiple services that have a high degree of variance between clients. IT outsourcing operational contexts display multi-input and multi-output variables, so managers need guidance on developing suitable approaches in order to identify the set of variables to analyse. This work proposes a model based on Data Envelopment Analysis (DEA), which is a linear programming technique able to manipulate multiple inputs and outputs. DEA allows the identification of the most efficient operation, which in turn enables providers to set the best operational strategy to follow. The results demonstrate the importance of quantitative measures in a dynamic business environment like IT outsourcing. To develop the authors' research, design science research was applied, and eighteen IT outsourcing contracts were used to demonstrate their model's utility. This work is a major contribution for measuring efficiency in IT outsourcing operations.

THE IMPACTS OF BIASED RESOURCE ALLOCATION ON THE EFFECTIVENESS OF OFFICIAL DEVELOPMENT ASSISTANCE

2018 ◽  
Vol 65 (01) ◽  
pp. 239-256
Author(s):  
SUNG-KO LI ◽  
CHUN-KEI TSANG
Keyword(s):  
Economic Growth ◽  
Resource Allocation ◽  
Developing Countries ◽  
Data Envelopment Analysis ◽  
Development Assistance ◽  
Official Development Assistance ◽  
Data Envelopment ◽  
Allocation Of Resources ◽  
Negative Impacts

Many developing countries are receiving official development assistance (ODA). Whether ODA is beneficial or harmful to the receiving country is controversial in the literature. This paper analyzes this issue from a new angle by adopting the framework of competitiveness which allows us to link resource allocation with economic growth. Under this framework, we point out that the mechanism of resource allocation influences the effectiveness of ODA on economic growth. By applying data envelopment analysis (DEA) to competitiveness, we capture the effects of inefficient and biased allocation of resources on ODA. The data confirm the co-existence of positive and negative impacts of ODA. Finally, we conclude that current ODA is not efficient in helping most of the receiving countries.

scholarly journals New Approach in Fixed Resource Allocation and Target Setting Using Data Envelopment Analysis with Common Set of Weights

Complexity ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Marzieh Ghasemi ◽  
Mohammad Reza Mozaffari ◽  
Farhad Hosseinzadeh Lotfi ◽  
Mohsen Rostamy malkhalifeh ◽  
Mohammad Hasan Behzadi
Keyword(s):  
Decision Making ◽  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Target Setting ◽  
New Approach ◽  
Common Set Of Weights ◽  
Programming Techniques ◽  
Using Data ◽  
Decision Making Units

One of the mathematical programming techniques is data envelopment analysis (DEA), which is used for evaluating the efficiency of a set of similar decision-making units (DMUs). Fixed resource allocation and target setting with the help of DEA is a subject that has gained much attention from researchers. A new model was proposed by determining a common set of weights (CSW). All DMUs were involved with the aim of achieving higher efficiency in every DMU after the procedure. The minimum resources and targets allocated to each DMU were commensurate to the efficiency of that DMU and the share of DMU in the input resources and the output productions. To examine the proposed method, other methods in the DEA literature were examined as well, and then, the efficiency of the method was demonstrated through a numerical example.

An application of centralized data envelopment analysis in resource allocation in container terminal operations

2015 ◽  
Vol 42 (8) ◽  
pp. 776-788 ◽  
Author(s):  
Shu-Man Chang ◽  
Jaw-Shen Wang ◽  
Ming-Miin Yu ◽  
Kuo-Chung Shang ◽  
Shih-Hao Lin ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Container Terminal ◽  
Data Envelopment ◽  
Container Terminal Operations ◽  
Terminal Operations

Technical efficiency of the Russian agriculture

2016 ◽  
pp. 144-155 ◽  
Author(s):  
V. Korotchenya
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Agricultural Sector ◽  
Time Interval ◽  
Data Envelopment ◽  
Analysis Methodology ◽  
Russian Agriculture ◽  
Advanced Economies ◽  
Cross Country ◽  
Low Efficiency

Based on the data envelopment analysis methodology applied in the cross-country context with a metafrontier approach and window analysis, the article provides a technical efficiency estimate of the Russian agriculture. The group of countries included in the study comprises the CIS, BRIC, EU, and OECD members. The time interval is 1992-2007. The research has revealed low efficiency of the Russian agriculture among the CIS members and a relatively large technology gap with respect to advanced economies, but which tends to decline. The estimates also indicate growth of the Russian agricultural sector efficiency within the CIS beyond the time interval of the research.

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