Health System Efficiency of OECD Countries with Data Envelopment Analysis

• Authors: Yusuf Ersoy , Adem Aktaş

Title variants

PL

Efektywność systemów opieki zdrowotnej w krajach OECD – badanie za pomocą metody granicznej analizy danych

Abstracts

PL

Cel: opracowanie ma na celu pomiar efektywności w 37 krajach OECD w roku 2020 za pomocą metody granicznej analizy danych (Data Envelopment Analysis – DEA), a ponadto uszeregowanie efektywnych jednostek decyzyjnych przy użyciu modelu DEA z nadefektywnością. Metodologia: w ramach badania przeprowadzono analizy z wykorzystaniem zorientowanych na nakłady modeli Charnesa, Coopera i Rhodesa (CCR), zorientowanych na nakłady modeli Bankera, Charnesa i Coopera (BCC) oraz tych modeli z nadefektywnością przy użyciu czterech nakładów i trzech wyników. Wyniki: przeprowadzona analiza wykazała, że efektywnością cechuje się czternaście krajów w modelu CCR i dwadzieścia krajów w modelu BCC. Kraje efektywne uszeregowano zgodnie z wynikami modeli z nadefektywnością. Ograniczenia/implikacje badawcze: ograniczeniami badania są analizy oparte na modelach DEA zorientowanych na nakłady oraz to, że zostało ono przeprowadzone w krajach OECD. Oryginalność/wartość: ocena efektywności systemów opieki zdrowotnej zyskała w ostatnich latach na znaczeniu. Wiele krajów podejmuje starania na rzecz poprawy swoich systemów opieki zdrowotnej. Z powodu epidemii, takich jak COVID-19, kraje OECD, podobnie jak wiele krajów na całym świecie, zwiększyły udział wydatków na opiekę zdrowotną w PKB. W związku z tą sytuacją ocena efektywności krajów OECD w dziedzinie zdrowia stała się bardzo istotnym tematem badawczym.

EN

Purpose: This study is aimed at measuring the efficiency of 37 OECD countries for 2020 using the Data Envelopment Analysis (DEA) method. Besides, it is aimed at ranking the efficient decision making units by using the super-efficiency DEA model. Design/methodology/approach: In the study, analyses were carried out with input-oriented Charnes, Cooper and Rhodes (CCR), input-oriented Banker, Charnes and Cooper (BCC) models and super-efficiency models of these models by using 4 inputs and 3 outputs. Findings: As a result of the analysis, 14 countries in the CCR model and 20 countries in the BCC model were efficient. According to the results of the super-efficiency models, the efficient countries were ranked. Research limitations/implications: The limitations of the study are the analyses are based on input-oriented DEA models and the research was conducted in OECD countries. Originality/value: Performance evaluation of health systems has gained importance in recent years. Many countries are making efforts to improve their health systems. Due to epidemics such as COVID-19, OECD countries, like many countries around the world, have increased the share of health expenditures in GDP. Because of this situation, the evaluation of the performance of OECD countries in the field of health has emerged as a very important research topic.

Keywords

EN

data envelopment analysis; GDP; health system efficiency; OECD countries; performance measurement

PL

metoda granicznej analizy danych; PKB; efektywność systemu opieki zdrowotnej; pomiar efektywności; kraje OECD

• Publisher: Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
• Journal: Problemy Zarządzania
• Year: 2022
• Volume: 20
• Issue: 4(98)
• Pages: 90-109

Dates

published

2022

Contributors

author

Yusuf Ersoy

• Malazgirt Vocational School, Muş Alparslan University, Muş, Turkey

• https://orcid.org/0000000201061695

author

Adem Aktaş

• Malazgirt Vocational School, Muş Alparslan University, Muş, Turkey

• https://orcid.org/000000031451913X

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Identifiers

DOI

10.7172/1644-9584.98.4

Biblioteka Nauki

16530389