Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries

The coronavirus disease 2019 is a deadly disease that globally infected millions of people. It enormously increases economies national healthcare bills and death tolls that deprive the global world. The negative environmental externality further strains the country's healthcare sustainability a...

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Autores principales: Jinrong Jia, Muhammad Khalid Anser, Michael Yao-Ping Peng, Abdelmohsen A. Nassani, Mohamed Haffar, Khalid Zaman
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/87cad07f59a1431083191b03a2087ca5
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spelling oai:doaj.org-article:87cad07f59a1431083191b03a2087ca52021-11-04T15:00:41ZEconomic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries1331-677X1848-966410.1080/1331677X.2021.1996257https://doaj.org/article/87cad07f59a1431083191b03a2087ca52021-10-01T00:00:00Zhttp://dx.doi.org/10.1080/1331677X.2021.1996257https://doaj.org/toc/1331-677Xhttps://doaj.org/toc/1848-9664The coronavirus disease 2019 is a deadly disease that globally infected millions of people. It enormously increases economies national healthcare bills and death tolls that deprive the global world. The negative environmental externality further strains the country's healthcare sustainability agenda, causing to decline in global income. The study evaluates the different socio-economic and environmental factors to assess ecological complexity in a large, cross-country data set that includes 60 countries. The study used the following variables for estimation, i.e., coronavirus cases, cost of carbon emissions, per capita economic growth, foreign direct investment inflows, and population growth. Markov Switching Regression, VAR Granger causality and variance decomposition analysis applied on the given dataset. The results show that the COVID-19 cases have a rebound effect on environmental quality. Economic activities started after a lifted lockdown, and unsustainable production and consumption led to a deteriorating natural environment. The U-shaped relationship is found between carbon pollution and per capita income. On the other hand, the inverted U-shaped relationship is found between coronavirus cases and carbon pollution. The foreign direct investment inflows and population density increases carbon pollution. The study concludes that stringent environmental policies and incentive-based regulations help to minimize coronavirus cases and mitigate carbon pollution.Jinrong JiaMuhammad Khalid AnserMichael Yao-Ping PengAbdelmohsen A. NassaniMohamed HaffarKhalid ZamanTaylor & Francis Grouparticlecarbon damagescovid-19 pandemicgdp per capitafdi inflowspopulation densityswitching regressionEconomic growth, development, planningHD72-88Regional economics. Space in economicsHT388ENEkonomska Istraživanja, Vol 0, Iss 0, Pp 1-19 (2021)
institution DOAJ
collection DOAJ
language EN
topic carbon damages
covid-19 pandemic
gdp per capita
fdi inflows
population density
switching regression
Economic growth, development, planning
HD72-88
Regional economics. Space in economics
HT388
spellingShingle carbon damages
covid-19 pandemic
gdp per capita
fdi inflows
population density
switching regression
Economic growth, development, planning
HD72-88
Regional economics. Space in economics
HT388
Jinrong Jia
Muhammad Khalid Anser
Michael Yao-Ping Peng
Abdelmohsen A. Nassani
Mohamed Haffar
Khalid Zaman
Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
description The coronavirus disease 2019 is a deadly disease that globally infected millions of people. It enormously increases economies national healthcare bills and death tolls that deprive the global world. The negative environmental externality further strains the country's healthcare sustainability agenda, causing to decline in global income. The study evaluates the different socio-economic and environmental factors to assess ecological complexity in a large, cross-country data set that includes 60 countries. The study used the following variables for estimation, i.e., coronavirus cases, cost of carbon emissions, per capita economic growth, foreign direct investment inflows, and population growth. Markov Switching Regression, VAR Granger causality and variance decomposition analysis applied on the given dataset. The results show that the COVID-19 cases have a rebound effect on environmental quality. Economic activities started after a lifted lockdown, and unsustainable production and consumption led to a deteriorating natural environment. The U-shaped relationship is found between carbon pollution and per capita income. On the other hand, the inverted U-shaped relationship is found between coronavirus cases and carbon pollution. The foreign direct investment inflows and population density increases carbon pollution. The study concludes that stringent environmental policies and incentive-based regulations help to minimize coronavirus cases and mitigate carbon pollution.
format article
author Jinrong Jia
Muhammad Khalid Anser
Michael Yao-Ping Peng
Abdelmohsen A. Nassani
Mohamed Haffar
Khalid Zaman
author_facet Jinrong Jia
Muhammad Khalid Anser
Michael Yao-Ping Peng
Abdelmohsen A. Nassani
Mohamed Haffar
Khalid Zaman
author_sort Jinrong Jia
title Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
title_short Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
title_full Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
title_fullStr Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
title_full_unstemmed Economic and ecological complexity in the wake of COVID-19 pandemic: evidence from 60 countries
title_sort economic and ecological complexity in the wake of covid-19 pandemic: evidence from 60 countries
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/87cad07f59a1431083191b03a2087ca5
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