Factors Responsible for Environmental Sustainability in G-20 Nations: A Panel Data Analysis

Deleterious external consequences of various productive activities have impacted the quality of the environment in all countries worldwide. These productive activities damage the environment by emitting greenhouse gases, particularly carbon dioxide, excessively using natural resources and producing solid pollutants or waste. Since these significantly contribute to environmental deterioration, policymakers should take appropriate action to reduce the external effects of these three outcomes of productive activities. In light of this challenging situation, the present study considers environmental impact (EI)—a combined external effect of three factors—as a representative of ecological degradation and examines the impact of four driving forces on the environmental effect across all G-20 nations from 1990 to 2019 based on the STIRPAT model. This study employs several econometric methodologies, including ARDL-PMG and FMOLS, to investigate the causal relationship between the four forces and EI. The primary conclusion of the analysis is based on the ARDL-PMG results, which reveal that while urbanisation and gross capital formation (GCF) have positive effects, GDP per capita and population levels have a long-term negative impact on EI. The results also demonstrate that population growth and productive activities pose the most significant obstacles to long-term improvements in environmental sustainability.

Authors

Institutions

Publication Details

Journal
Review of Development and Change
Published
2024-11-18
DOI
https://doi.org/10.1177/09722661241295518
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Responsible for Environmental Sustainability in G-20 Nations: A Panel Data Analysis

Partha Pratim Ghosh
Review of Development and Change
Energy, Environment, Economic Growth
article

Factors Responsible for Environmental Sustainability in G-20 Nations: A Panel Data Analysis

Partha Pratim Ghosh
article en

Abstract

Deleterious external consequences of various productive activities have impacted the quality of the environment in all countries worldwide. These productive activities damage the environment by emitting greenhouse gases, particularly carbon dioxide, excessively using natural resources and producing solid pollutants or waste. Since these significantly contribute to environmental deterioration, policymakers should take appropriate action to reduce the external effects of these three outcomes of productive activities. In light of this challenging situation, the present study considers environmental impact (EI)—a combined external effect of three factors—as a representative of ecological degradation and examines the impact of four driving forces on the environmental effect across all G-20 nations from 1990 to 2019 based on the STIRPAT model. This study employs several econometric methodologies, including ARDL-PMG and FMOLS, to investigate the causal relationship between the four forces and EI. The primary conclusion of the analysis is based on the ARDL-PMG results, which reveal that while urbanisation and gross capital formation (GCF) have positive effects, GDP per capita and population levels have a long-term negative impact on EI. The results also demonstrate that population growth and productive activities pose the most significant obstacles to long-term improvements in environmental sustainability.

Review of Development and ChangeVol. 29(2)
Jadavpur University (IN)
Life in Land
Openalex Percentile: Top 75%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.