Asymmetric Causal Linkages Between Financial Development and Ecological Footprint: Evidence From <scp>G7</scp> and <scp>E7</scp> Economies

ABSTRACT This study investigated the asymmetric causal relationship between financial development and the ecological footprint in G7 and E7 countries from 1992 to 2019 using the Hatemi‐J panel asymmetric causality test. Motivated by the increasing global concern about how financial systems interact with environmental sustainability, the study aimed to provide a comparative understanding between advanced and emerging economies. Another objective of the study is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis across different development levels. The results show that financial development and the ecological footprint are asymmetrically linked in G7 economies but symmetrically linked in E7 economies. The EKC is valid for E7 countries, while the Pollution Halo and Pollution Haven hypotheses hold for G7 and E7, respectively. By integrating financial asymmetry into environmental causality analysis, this study contributed to the literature with a novel empirical approach. Empirical evidence suggested that promoting green finance, renewable energy, and energy efficiency can align financial growth with sustainability, while emerging economies should prioritize institution‐building to align financial expansion with environmental objectives, and developing green bond markets, carbon trading systems, and transparent environmental disclosure frameworks.

Authors

Institutions

Publication Details

Journal
Sustainable Development
Published
2025-12-03
DOI
https://doi.org/10.1002/sd.70495
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

Asymmetric Causal Linkages Between Financial Development and Ecological Footprint: Evidence From G7 and E7 Economies

Mert Baran Tunçel, Serdar Yaman
Sustainable Development
Energy, Environment, Economic Growth
article

Asymmetric Causal Linkages Between Financial Development and Ecological Footprint: Evidence From G7 and E7 Economies

Mert Baran Tunçel, Serdar Yaman
article en

Abstract

ABSTRACT This study investigated the asymmetric causal relationship between financial development and the ecological footprint in G7 and E7 countries from 1992 to 2019 using the Hatemi‐J panel asymmetric causality test. Motivated by the increasing global concern about how financial systems interact with environmental sustainability, the study aimed to provide a comparative understanding between advanced and emerging economies. Another objective of the study is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis across different development levels. The results show that financial development and the ecological footprint are asymmetrically linked in G7 economies but symmetrically linked in E7 economies. The EKC is valid for E7 countries, while the Pollution Halo and Pollution Haven hypotheses hold for G7 and E7, respectively. By integrating financial asymmetry into environmental causality analysis, this study contributed to the literature with a novel empirical approach. Empirical evidence suggested that promoting green finance, renewable energy, and energy efficiency can align financial growth with sustainability, while emerging economies should prioritize institution‐building to align financial expansion with environmental objectives, and developing green bond markets, carbon trading systems, and transparent environmental disclosure frameworks.

Sustainable Development
Şırnak University (TR)
Openalex Percentile: Top 55%
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.