Clustering Macroeconomic Impact of Covid-19 in OECD Countries and China

Year 2020, Volume: 5 Issue: Özel Sayı, 280 - 291, 26.12.2020

Bige Kucukefe

https://doi.org/10.30784/epfad.811289

Cited By: 2

Abstract

The coronavirus pandemic (COVID-19) has caused the biggest economic contraction in global economy since the Second World War. COVID-19 pandemic has forced governments to take unprecedented measures to prevent the spread and to protect their economies that presented a dilemma because of their conflicting outcomes. This paper investigates the presumption of health-economy trade-off due to COVID-19 by comparing the GDP declines and deaths in per million population in OECD countries and China. The empiric data shows the countries with the highest death rates have seen the largest economic downturns. The clustering analysis by using k-means algorithm finds that there are three partitions of countries for current account balances, GDP growth rate, and deaths in per million population. The countries with current account surpluses above 2.5% of GDP managed to limit their GDP decline below -15% and are in the same cluster. On the other hand, the countries with higher death rates and current account deficits group another cluster and saw GDP declines as above 15% except for USA and Brasil.

Keywords

Clustering, K-Means clustering, Regression Analysis, COVID-19

Covid-19’un OECD Ülkeleri ve Çin’de Makroekonomik Etkisinin Kümeleme Analizi

Abstract

Koronavirüs salgını (COVID-19), İkinci Dünya Savaşı'ndan bu yana küresel ekonomideki en büyük ekonomik daralmaya neden oldu. COVID-19 pandemisi, hükümetleri hem bu hastalığın yayılmasını önlemek hem de ekonomilerini korumaya çalışmak gibi birbiri ile çelişki içinde görünen amaçlar için benzeri görülmemiş önlemler almaya zorladı. Bu makale, OECD ülkeleri ve Çin’de GSYİH düşüşlerini ve milyon kişi başına düşen ölümleri karşılaştırarak COVID-19 nedeniyle bir sağlık-ekonomi değiş tokuşu olup olmadığı varsayımını araştırmaktadır. Ampirik veriler, en yüksek ölüm oranlarına sahip ülkelerin en büyük ekonomik gerilemeleri yaşadığını göstermektedir. K-ortalamalar algoritması kullanılarak yapılan kümeleme analizi, cari hesap dengesi, GSYİH büyümesi ve bir milyon kişi başına düşen ölüm sayısı açısından ülkelerin üç bölüme ayrıldığını bulmuştur. Cari hesap fazlası GSYH’nin %2,5'inin üzerinde olan ülkeler, GSYİH düşüşlerini % -15'in altında sınırlamayı başardılar ve aynı kümede yer almaktadırlar. Öte yandan, ölüm oranları ve cari açıkları yüksek olan ülkeler başka bir kümede yer alırlar ve bu ülkelerin GSYİH, ABD ve Brezilya dışında, %15'in üzerinde düşmüştür.

Keywords

COVID-19, Kümeleme, K-Ortalama kümelemesi, Regresyon analizi

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