Economic Growth, FDI, Tourism, and Agricultural Productivity as Drivers of Environmental Degradation: Testing the EKC Hypothesis in ASEAN Countries

This study examines the long-run relationship between carbon dioxide (CO2) emissions and key macroeconomic and sectoral drivers in ten ASEAN economies from 1995 to 2023. Employing Driscoll–Kraay standard errors, Prais–Winsten regression, heteroskedastic panel-corrected standard errors, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) estimators, the analysis accounts for cross-sectional dependence, slope heterogeneity, and endogeneity. Results indicate that GDP exerts a more-than-unitary positive effect on emissions, with a negative GDP-squared term supporting the Environmental Kuznets Curve. Agriculture raises emissions through land-use change and high-emission cultivation practices, while tourism shows a negative association likely reflecting territorial accounting effects. Trade openness increases emissions, highlighting the carbon intensity of export structures, whereas foreign direct investment exerts no significant net effect. These results suggest that ASEAN economies must accelerate renewable energy adoption, promote climate-smart agriculture, embed enforceable environmental provisions in trade policy, and implement rigorous sustainability screening for FDI to achieve low-carbon growth trajectories.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-09-19
DOI
https://doi.org/10.3390/su17188394
Citations
7
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
21.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Growth, FDI, Tourism, and Agricultural Productivity as Drivers of Environmental Degradation: Testing the EKC Hypothesis in ASEAN Countries

Peter Marty, Yuldoshboy Sobirov, Elbek Khodjaniyazov, Olimjon Saidmamatov et al.
7 citations
Sustainability
Energy, Environment, Economic Growth
21.92
article

Economic Growth, FDI, Tourism, and Agricultural Productivity as Drivers of Environmental Degradation: Testing the EKC Hypothesis in ASEAN Countries

Peter Marty, Yuldoshboy Sobirov, Elbek Khodjaniyazov, Olimjon Saidmamatov, Beruniy Artikov
article en
7 citations

Abstract

This study examines the long-run relationship between carbon dioxide (CO2) emissions and key macroeconomic and sectoral drivers in ten ASEAN economies from 1995 to 2023. Employing Driscoll–Kraay standard errors, Prais–Winsten regression, heteroskedastic panel-corrected standard errors, Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegrating Regression (CCR) estimators, the analysis accounts for cross-sectional dependence, slope heterogeneity, and endogeneity. Results indicate that GDP exerts a more-than-unitary positive effect on emissions, with a negative GDP-squared term supporting the Environmental Kuznets Curve. Agriculture raises emissions through land-use change and high-emission cultivation practices, while tourism shows a negative association likely reflecting territorial accounting effects. Trade openness increases emissions, highlighting the carbon intensity of export structures, whereas foreign direct investment exerts no significant net effect. These results suggest that ASEAN economies must accelerate renewable energy adoption, promote climate-smart agriculture, embed enforceable environmental provisions in trade policy, and implement rigorous sustainability screening for FDI to achieve low-carbon growth trajectories.

SustainabilityVol. 17(18)
Urgench State University (UZ), ZHAW Zurich University of Applied Sciences (CH)
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
21.92
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.