Measuring Hospital Efficiency through Data Envelopment Analysis when Policy-Makers' Preferences Matter: An Application to a Sample of Italian NHS Hospitals

2006 ◽  
Author(s):  
Vincenzo Rebba ◽  
Dino Rizzi
Keyword(s):  
Data Envelopment Analysis ◽  
Hospital Efficiency ◽  
Data Envelopment ◽  
Policy Makers

scholarly journals Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Xishuang Han ◽  
Xiaolong Xue ◽  
Jiaoju Ge ◽  
Hengqin Wu ◽  
Chang Su
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Policy Makers ◽  
Time Periods ◽  
Decision Making Units

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.

Systematic Review: Penilaian Efisiensi Rumah Sakit dengan Metode Data Envelopment Analysis (DEA)

2021 ◽  
Vol 10 (04) ◽  
pp. 258-268
Author(s):  
Pantri Widyastuti ◽  
Atik Nurwahyuni
Keyword(s):  
Systematic Review ◽  
Data Envelopment Analysis ◽  
Hospital Efficiency ◽  
Data Envelopment ◽  
Truncated Regression ◽  
Tobit Regression

Dalam sistem kesehatan yang berkembang saat ini, efisiensi merupakan hal yang utama. Pengukuran efisiensi bermanfaat untuk pemerintah maupun swasta untuk dapat mengambil keputusan yang berhubungan dengan tinggi rendahnya biaya perawatan di rumah sakit. Penelitian ini bertujuan untuk mengkaji metode Data Envelopment Analysis (DEA) yang digunakan dalam berbagai penelitian dalam pengukuran efisiensi rumah sakit. Desain penelitian yang digunakan adalah dengan sistematic review dengan metode PRISMA tanpa meta analisis. Sumber data didapatkan dari Proquest, Sciencedirect dan Pubmed pada tahun 2019 hingga 2020. Pencarian data dilakukan pada bulan Oktober 2020 dengan kata kunci Hospital Efficiency dan Data Envelopment Analysis. Hasilnya adalah penilaian efisiensi rumah sakit menggunakan metode DEA lebih banyak dilakukan dengan analisa dua tahap menggunakan tobit regression atau truncated regression. Perhitungan index malmquist juga banyak digunakan setelah perhitungan DEA dilakukan untuk melihat efisiensi rumah sakit dalam periode waktu tertentu.

scholarly journals Improving Efficiency Assessment of Psychiatric Halfway Houses: A Context-Dependent Data Envelopment Analysis Approach

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 189
Author(s):  
Chien-Wen Shen ◽  
Chin-Hsing Hsu ◽  
For-Wey Lung ◽  
Pham Thi Minh Ly
Keyword(s):  
Data Envelopment Analysis ◽  
Mental Illnesses ◽  
Dependent Data ◽  
Data Envelopment ◽  
Policy Makers ◽  
Efficiency Assessment ◽  
Halfway Houses ◽  
Relative Attractiveness ◽  
Medium Level ◽  
Context Dependent

This study proposes the approach of context-dependent data envelopment analysis (DEA) to measure operating performance in halfway houses to enable suitable adjustments at the current economic scale. The proposed approach can be used to discriminate the performance of efficient halfway houses and provide more accurate DEA results related to the performance of all halfway houses in a region or a country. The relative attractiveness and progress were also evaluated, and individual halfway houses’ competitive advantage and potential competitors could be determined. A case study of 38 halfway houses in Taiwan was investigated by our proposed approach. Findings suggest that fifteen halfway houses belong to the medium level, which can be classified into a quadrant by examining both their attractiveness score and progress score. The results can be used to allocate community resources to improve the operational directions and develop incentives for halfway houses with attractive and progressive values, which can reduce the institutionalization and waste of medical resources caused by the long-term hospitalization of patients with mental illnesses. Our proposed approach can also provide references for operators and policy makers to improve the management, accreditation, and resource allocation of institutions.

Evaluating the comparative efficiency of the postal services in OECD countries using context-dependent and measure-specific data envelopment analysis

2015 ◽  
Vol 22 (5) ◽  
pp. 839-856 ◽  
Author(s):  
Süleyman Çakır ◽  
Selçuk Perçin ◽  
Hokey Min
Keyword(s):  
Data Envelopment Analysis ◽  
Oecd Countries ◽  
Data Envelopment ◽  
Postal Service ◽  
Public Enterprises ◽  
Policy Makers ◽  
Content Type ◽  
Comparative Efficiency ◽  
Postal Services ◽  
Context Dependent

Purpose – In an effort to help policy makers develop competitive postal service strategies, the purpose of this paper is to evaluate the comparative operating efficiencies of postal services across the Organization for Economic Cooperation and Development (OECD) nations and then identify room for service improvement. Design/methodology/approach – As a better alternative to the conventional data envelopment analysis (DEA) which requires the proportional improvements of inputs and outputs simultaneously, the authors propose the combined use of both context-dependent and measure-specific DEAs to measure the relative attractiveness and progress of the national postal operators of OECD countries. Findings – Defying the conventional notion that public enterprises operate less efficiently than private enterprises, the author discovered that some state-owned public enterprises such as postal service operators could still be efficient if managed properly. Even inefficient postal services operators could significantly improve their service performances, once they identified the root causes of their service failures. Through a series of model experiments and testing, the authors found that proposed context-dependent and measure-specific DEA models were more useful for finding such causes than the conventional DEA model. Practical implications – For public officials and policy makers, the proposed DEAs can pinpoint what it takes to become more efficient and what steps need to be taken to improve postal service operations gradually. Originality/value – This paper is the first to combine the context-dependent DEA with measure-specific DEA to evaluate the comparative efficiency (or progress) and inefficiency (or regress) of the national postal operators of 25 OECD countries.

scholarly journals Performance of Malaysian Insurance Companies Using Data Envelopment Analysis

2018 ◽  
Vol 11 (3) ◽  
pp. 1147 ◽  
Author(s):  
Ng Jia Bao ◽  
Rohaizan Ramlan ◽  
Fazeeda Mohamad ◽  
Azlina Md Yassin
Keyword(s):  
Data Envelopment Analysis ◽  
Insurance Industry ◽  
Secondary Data ◽  
Efficiency Score ◽  
Equity Capital ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Policy Makers ◽  
Using Data

The purpose of this study is to evaluate the performance of the local insurance in Malaysia for the period 2014-2015. The major challenge in the insurance industry is increasing competition in this market. Besides that, problematic in performance measurement to evaluate performance is another challenge in insurance industry. 24 local insurance companies involved in this study using quantitative method of Data Envelopment Analysis (DEA) output-orientation CCR model. This study utilizes three inputs and three outputs; operating expenses, equity capital and commission as well as net premium, net investment income, and net incurred claim. The secondary data sources were derived from official data of local insurance companies’ annual report respectively. The DEA-Solver-LV version 8 tools were used to analyze the data that have been collected to evaluate the performance of local insurance company. This DEA model allows integration of the performance for the insurance companies and provides management overall performance evaluation. The results showed that there are 8 efficient companies in 2014 and 9 efficient companies in 2015. The average efficiency score in 2014 was increased from 78.9% to 79.1% in 2015. The findings from this study will benefit the insurance associations in Malaysia, management of insurances companies and policy makers.

scholarly journals A Literature review on the Identification of Variables for Measuring Hospital Efficiency in the Data Envelopment Analysis (DEA)

2021 ◽  
Vol 10 (1) ◽  
pp. 1-15
Author(s):  
Nokky Farra Fazria ◽  
Inge Dhamanti
Keyword(s):  
Data Envelopment Analysis ◽  
Outpatient Service ◽  
Medical Personnel ◽  
Hospital Efficiency ◽  
Data Envelopment ◽  
Knowledge Maps ◽  
Efficiency Assessment ◽  
Relevant Variables ◽  
Selection Of ◽  
Inputs And Outputs

The selection of input and output variables usually pose a problem when carrying out efficiency assessment in hospitals. Data Envelopment Analysis (DEA) is an instrument that is used to calculate the efficiency of a hospital using some inputs and outputs. Therefore, this study aims to identify the most frequently used hospital inputs and outputs from an existing paper,, in order to assist the hospital management staffs in choosing the relevant variables that can represent available inputs, are easily accessible, and need improvement. It was conducted using keywords such as “hospital efficiency” and “DEA for hospital” to search for peer-reviewed journals in the PubMed and Open Knowledge Maps from the year 2014-2020. From, the 586 articles, 54 samples were obtained from the about 5-3504 hospitals which were analyzed from 23 countries. The results showed that, the five most used inputs were the number of beds, medical personnel, non-medical staff,  medical technician staff and operational costs, while the most used outputs were number of inpatients, surgeries, emergency visits, outpatient service, and days of inpatients. These variables are often used for accessing the efficiency of hospitals in the DEA application.

scholarly journals Efficiency Evaluation of State Transport Undertakings of India using DEA-NN approach

2015 ◽  
Vol 10 (5) ◽  
pp. 2189-2198
Author(s):  
Dr. Punita Saxena ◽  
Dr. Amita Kapoor
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Data Envelopment Analysis ◽  
Network Model ◽  
Neural Network Model ◽  
Transport Sector ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Data Set ◽  
Policy Makers

The economy of any nation depends on the structure and functioning of its various sectors. Transport sector is one of the vital sectors for the financial system of any developing country. All other sectors are dependent on it either directly or indirectly. Thus improving the efficiency of this sector has become a major concern for the operators and the policy makers. The present paper presents an amalgamation of the two non-parametric techniques, Data Envelopment Analysis (DEA) and Neural Networks (NNs) to compute the efficiency scores of State Transport Undertakings of India. DEA is used to compute the efficiency scores of 27 DMUs. These scores are used to train a neural network model, namely the BPN model. The algorithm is developed and used for predicting the efficiency scores of other units of the data set. The results obtained are comparable and it has been shown that this approach helps in improving the discriminatory power of DEA.

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