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https://doi.org/10.1080/1331677X.2021.1996257

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

Jinrong Jia
Muhammad Khalid Anser
Michael Yao-Ping Peng
Abdelmohsen A. Nassani
Mohamed Haffar
Khalid Zaman


Puni tekst: engleski pdf 1.903 Kb

str. 3397-3415

preuzimanja: 85

citiraj


Sažetak

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.

Ključne riječi

Carbon damages; COVID-19 pandemic; GDP per capita; FDI inflows; population density; switching regression

Hrčak ID:

302605

URI

https://hrcak.srce.hr/302605

Datum izdavanja:

31.3.2023.

Posjeta: 166 *