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Title: | Performance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysis |
Authors: | Daneshvar, Sahand Opatokun, Ismail Oluwaseyi Eastern Mediterranean University, Faculty of Engineering, Dept. of Industrial Engineering |
Keywords: | Industrial Engineering Performance Efficiency Evaluation-Healthcare Systems-HEalth Sector-Hospitals-Europe Covid-19 Pandemic-Health System-Europe Data Envelopment Analysis DEA CCR European Countries Healthcare Efficiency Gross Domestic Product Total Population Covid-19 Tests |
Issue Date: | Feb-2021 |
Publisher: | Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) |
Citation: | Opatokun, Ismail Oluwaseyi. (2021).Performance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysis . Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Industrial Engineering, Famagusta: North Cyprus. |
Abstract: | In this paper, a non-parametric method known as Data Envelopment Analysis was used
to analyse the efficiency of the healthcare systems of 48 European countries in
managing the covid-19 pandemic. Using the constant returns to scale model of
Charnes, Cooper and Rhodes (CCR) on input and output variables like total
population, total covid-19 cases, total tests performed, total recoveries etc, the results
showed that only 10 out of the 48 countries were optimally efficient in their
management of the pandemic with some of the richest countries like France and
Belgium being some of the poorest performers. Minimally developed countries like
the Czech Republic, Andorra and Moldova were some of the best performers with
Moldova being the most referenced optimal country in the benchmark test. It was
shown that the inefficient countries like France and Belgium had to reduce the number
of cases via distancing and lockdown measures to improve efficiency. The same goes
for minimally efficient countries like the United Kingdom.
The results finally indicate that developmental indices like gross domestic product
(GDP) had an insignificant impact on the efficiency of countries in managing the
pandemic as very rich countries were poor performers, although their high populations
likely skewed the efficiency ratios in comparison to high performing countries with
low populations.
Keywords: Data Envelopment Analysis, DEA, CCR, European, Countries,
Healthcare, Efficiency, Gross Domestic Product, Total Population, Covid-19, Tests ÖZ:
Bu makalede, Veri Zarflama Analizi olarak bilinen parametrik olmayan bir yöntem,
covid-19 pandemisini yönetmede 48 Avrupa ülkesinin sağlık sistemlerinin etkinliğini
analiz etmek için kullanılmıştır. Charnes, Cooper ve Rhodes'un (CCR) ölçek modeline
göre sabit getiri modelini toplam nüfus, toplam covid-19 vakaları, gerçekleştirilen
toplam testler, toplam geri kazanımlar gibi girdi ve çıktı değişkenleri üzerinde
kullanarak, sonuçlar 48 ülkeden yalnızca 10'unun Fransa ve Belçika gibi en zengin
ülkelerden bazıları en fakir performans gösteren ülkelerden bazıları ile pandemiyi
idare etmede en iyi şekilde etkiliydi. Çek Cumhuriyeti, Andorra ve Moldova gibi
minimal gelişmiş ülkeler, kıyaslama testinde en çok başvurulan optimal ülke olan
Moldova ile en iyi performans gösteren ülkelerden bazılarıydı. Fransa ve Belçika gibi
verimsiz ülkelerin verimliliği artırmak için mesafe ve tecrit tedbirleri yoluyla vaka
sayısını azaltmak zorunda kaldığı gösterildi. Aynı durum Birleşik Krallık gibi
minimum düzeyde verimli ülkeler için de geçerli.
Son olarak sonuçlar, gayri safi yurtiçi hasıla (GSYİH) gibi kalkınma endekslerinin,
çok zengin ülkeler zayıf performans gösterenler olduğu için, ülkelerin pandemiyi
yönetmedeki verimliliği üzerinde önemsiz bir etkiye sahip olduğunu göstermektedir.
Anahtar Kelimeler: Veri Zarflama Analizi DEA), CCR, Avrupa, Ülkeler, Sağlık
Hizmetleri, Verimlilik, Gayri Safi Yurtiçi Hasıla, Toplam Nüfus, Covid-19, Pandemi,
Testler |
Description: | Master of Science in Industrial Engineering. Institute of Graduate Studies and Research. Thesis (M.S.) - Eastern Mediterranean University, Faculty of Engineering, Dept. of Industrial Engineering, 2021. Supervisor: Assist. Prof. Dr. Sahand Daneshvar. |
URI: | http://hdl.handle.net/11129/5577 |
Appears in Collections: | Theses (Master's and Ph.D) – Industrial Engineering
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