Sustainable development through green transition in EU countries: New evidence from panel quantile regression

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121545 - 121545

Published: June 24, 2024

Language: Английский

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Dissecting the Structural Shift in Greenhouse Gas Emissions in Japan Amidst the Nexus of Natural Resource Rents, Income, and Population Growth: An Econometric Analysis

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 5, 2025

ABSTRACT Human economic activities, aimed at rapid growth, contribute significantly to greenhouse gas emissions, thereby accelerating climate change and raising concerns about sustainability, particularly in the context of United Nations Sustainable Development Goals (UNSDGs). The study's objectives align with UNSDG Goal 15, which seeks minimise impact human activities on environment halt further environmental degradation. This study explores structural shifts emissions Japan by examining relationship between total gases, natural resource rents, real income, population from 1970 2018. Utilising novel autoregressive distributed lag (ARDL) model dynamic quantile ARDL techniques, analysis reveals an annual equilibrium convergence rate approximately 34%–36%. multivariate VECM causality system identifies significant long‐run causal relationships, indicating influence these covariates maintaining a stable equilibrium. In short run, one‐way is observed per capita squared income emissions. Long‐term findings suggest that reductions GDP, growth improved atmospheric quality. results support Environmental Kuznets Curve (EKC) hypothesis, confirming existence ‘inverted U‐curve’ for Japan. Furthermore, robust aligns net probabilistic effects both short‐ long‐term scenarios. By applying innovative accounting decomposition frameworks, shows changes consistently lead reduced Overall, provide empirical Japan's goal achieving carbon neutrality 2050 underscore importance adhering transformative policy measures.

Language: Английский

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Geopolitical risk and corporate environmental investment

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: Jan. 6, 2025

This paper examines the impact of geopolitical risk on corporate environmental investment, focusing A-share listed companies in China's Shanghai and Shenzhen stock markets from 2000 to 2022. The study finds that risks currently faced by China have had a negative domestic investment. adverse effect primarily occurs through mechanisms such as increased market uncertainty, higher debt costs. Heterogeneity analysis reveals with proportion executives backgrounds those under regulation experience less investment when facing risks. These findings significant theoretical practical implications for managers policymakers, offering valuable references guidance further enhancing

Language: Английский

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Revisiting the relationship between geopolitical risk and ecological footprint: A comprehensive analysis based on dual machine learning

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124125 - 124125

Published: Jan. 20, 2025

Language: Английский

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Using Machine Learning Techniques to Test the Load Capacity Curve Hypothesis: A Classifier-Lasso Application on Global Panel Data

Biophysical Economics and Sustainability, Journal Year: 2025, Volume and Issue: 10(1)

Published: Feb. 19, 2025

Language: Английский

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Industrial Robotics, Resource Efficiency, Energy Transition, and Environmental Quality: Designing a Sustainable Development Goals Framework for G7 Countries in the Presence of Geopolitical Risk

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 1960 - 1960

Published: Feb. 25, 2025

In recent years, the integration of industrial robotics has emerged as a powerful tool in reshaping industries by enhancing production efficiency, reducing waste generation, and optimizing resource utilization. However, robotics, particularly manufacturing production, require significant energy that can potentially impact on environmental quality. Despite growing adoption artificial intelligence (AI)-based there is paucity literature ecological footprint (EF), context advanced economies. this context, study aims to investigate transition, geopolitical risk EF G7 countries from 1993 2021. The employed econometric techniques, including Kernel-based Regularized Least Squares (KRLS) Artificial Neural Network (ANN) machine learning methods. results unveiled significantly curtail degradation impeding EF. Resource efficiency transition posed negative Geopolitical risks economic growth exacerbate Based results, proposes important policy implications for achieving sustainable development.

Language: Английский

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Hybrid molecular fuzzy recommender systems for impact of climate change on renewable energy performance

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122799 - 122799

Published: March 1, 2025

Language: Английский

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How do economic policy uncertainty and geopolitical risk affect oil imports? Evidence from China and India

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 59, P. 101695 - 101695

Published: March 26, 2025

Language: Английский

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Can energy technology R&D investments dampen the burden of energy vulnerability? The imperatives of energy productivity, digital innovativeness, and institutional efficiency

Energy Sources Part B Economics Planning and Policy, Journal Year: 2025, Volume and Issue: 20(1)

Published: April 21, 2025

Language: Английский

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Exploring the Load Capacity Factor and Pollution Haven Hypothesis in India: Analyzing Energy Security Risk and Financial Development in an Asymmetric Framework

Environmental Quality Management, Journal Year: 2025, Volume and Issue: 34(4)

Published: April 22, 2025

ABSTRACT Global warming has led to environmental degradation, which turned into one of the most pressing challenges affecting practically all forms life. Understanding determinants this problem is essential formulate corrective policy measures. The existing literature neglected supply side dynamics, as majority prior research concentrated on demand aspects degradation. To address limitation, study uses load capacity factor, a novel, broader, and comprehensive indicator health that considers both well concerns primary goal investigate novel factor hypothesis along with pollution haven in Indian context presence energy security risk financial development. utilized data from 1980 2021 used nonlinear auto regressive distributed lag model for analysis. results validate U‐shaped hypothesis, suggesting quality deteriorates initially but improves economic growth breaches threshold level. further India, demonstrating international investments India have creation havens are flowing intensive sectors. It revealed jeopardizing sustainability, country vulnerable terms security, whereas development enhancing environment through promotion green initiatives. needs develop important policies pertaining its activity preservation, included paper.

Language: Английский

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