Performance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysis

dc.contributor.advisorDaneshvar, Sahand
dc.contributor.authorOpatokun, Ismail Oluwaseyi
dc.date.accessioned2023-04-14T08:53:44Z
dc.date.available2023-04-14T08:53:44Z
dc.date.issued2021-02
dc.date.submitted2021
dc.departmentEastern Mediterranean University, Faculty of Engineering, Dept. of Industrial Engineeringen_US
dc.descriptionMaster 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.en_US
dc.description.abstractIn 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, Testsen_US
dc.description.abstractÖZ: 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, Testleren_US
dc.identifier.citationOpatokun, 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.en_US
dc.identifier.urihttps://hdl.handle.net/11129/5577
dc.language.isoen
dc.publisherEastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)en_US
dc.relation.publicationcategoryTez
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIndustrial Engineeringen_US
dc.subjectPerformance Efficiency Evaluation-Healthcare Systems-HEalth Sector-Hospitals-Europeen_US
dc.subjectCovid-19 Pandemic-Health System-Europeen_US
dc.subjectData Envelopment Analysisen_US
dc.subjectDEAen_US
dc.subjectCCRen_US
dc.subjectEuropeanen_US
dc.subjectCountriesen_US
dc.subjectHealthcareen_US
dc.subjectEfficiencyen_US
dc.subjectGross Domestic Producten_US
dc.subjectTotal Populationen_US
dc.subjectCovid-19en_US
dc.subjectTestsen_US
dc.titlePerformance Efficiency Evaluation of European Countries Healthcare Systems during the Pandemic (Covid-19) Using the Data Envelopment Analysisen_US
dc.typeMaster Thesis

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