Promoting economic stability: the role of renewable energy transition in mitigating global volatility DOI
Ashutosh Yadav

International Journal of Energy Sector Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Purpose This study aims to investigate how renewable energy consumption impacts economic risk in volatile economies, with a specific focus on the moderating effects of GDP per capita and trade openness. It further explores nonlinear relationships between risk, highlighting role gross domestic product (GDP capita) openness these effects. Design/methodology/approach The dynamic panel threshold model (DPTM) is used analyze data from World Development Indicators (WDI) 2023 set. Key variables include share, capita), rent, composite volatility index. Quantile regression (QR) ensures robustness across different levels. Findings Trade significantly moderates relationship risk. In high markedly reduces Higher also enhances stabilizing energy. These findings highlight importance integrated policies that foster both adoption for sustainable development. Practical implications offer policymakers insights into promoting stability through investments. Policies enhancing growth can amplify benefits energy, contributing development goals. Social underscores energy’s potential long-term environmental sustainability, ensuring current does not compromise future needs. Originality/value advances understanding filling gap existing literature. incorporates roles within framework.

Language: Английский

Green Hydrogen Impact on Economic Growth: A Cross-Sectional Analysis of 29 European Countries DOI
Lamiae Sarsar

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122898 - 122898

Published: March 1, 2025

Language: Английский

Citations

0
Research on the impact of green finance on collaborative governance of pollution reduction and carbon reduction DOI Creative Commons
Ke Lu, Dongri Han, Chaoyang Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 18, 2025

Collaborative governance of pollution reduction and carbon is an important measure to achieve the goal "green ecological civilization construction" in China. This paper utilizes coupling coordination degree model assess level collaborative reduction, while entropy method employed quantify green finance development index. Using provincial panel data from 2013 2022 China, this initially explores direct relationship between through a baseline regression model. Secondly, considering heterogeneity geographical location energy endowment, categorizes sample provinces into distinct regions conduct heterogeneous analysis. Lastly, employing threshold model, examines non-linear impact on with finance, technology innovation, new industry as variables. The following results are obtained test: (1) Green significantly directly impacts reduction. (2) effect varies by showing pattern "Central > Western Eastern Northeast" "Energy-rich areas Non-energy-rich areas." (3) Considering regional heterogeneity, exhibits varying effects In case low level, high development, can have more positive influence. study offer certain reference value for government formulate relevant policies create good environment.

Language: Английский

Citations

0
Enterprise digital transformation and sustainable productivity DOI Creative Commons
Jia Wang, H. Vicky Zhao

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: April 20, 2025

Language: Английский

Citations

0
Green finance and foreign investment: catalysts for sustainable prosperity in emerging economies DOI Creative Commons
Honglin Wang

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 23, 2025

Emerging economies grapple with the simultaneous challenge of fostering economic development and ensuring environmental sustainability, necessitating research that identifies key drivers sustainable prosperity (SP). This study aims to analyze heterogeneous impact causal relationships trade openness, population growth, regulatory stringency, green patents, foreign investment, finance on SP in emerging economies. By examining these factors across 12 nations from 1990 2022, it seeks uncover how financial mechanisms can drive development. Using advanced econometric techniques, including MMQR, robustness tests (AMG, CCEMG, FE), Granger-causality analysis, findings reveal significant heterogeneity relationships. MMQR highlights critical roles finance, growth showing varying effects quantiles. Robustness corroborate findings, while confirms bidirectional between both growth. is novel its application a comprehensive methodological framework explore dynamics The results offer practical recommendations for policymakers, highlighting necessity focused initiatives, flexible approaches, investment-friendly policies correspond long-term sustainability objectives. paper areas future research, incorporation machine learning techniques enhance predictive models examination institutional quality’s influence results. These overarching dialogue fulfilling SDGs COP commitments, providing reconciling advancement conservation.

Language: Английский

Citations

0
Renewable energy and institutional quality effect on carbon dioxide emissions empirical study: a multi-factor analysis DOI

Yujuan Tang,

Kailun Li,

Qishen Tan

et al.

Applied Economics, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Aug. 5, 2024

With the development of society, industry, demand for fossil fuels and metal ores has also increased, leading to uncontrolled exploitation natural resources their further reduction. Due widespread use fuels, carbon dioxide emissions are increasing every day. This is a common concern many countries. In countries along Belt Road, have increased due rising incomes, financial growth urbanization. paper investigates CO2 in Road countries, using Stochastic Impacts by Regression on Population, Affluence, Technology Framework Driscoll-Kraay regression model were used multi-factor analysis. Research shows that more renewable energy can help improve system reduce emissions. addition, research better quality institution, lower The government should pollution from second.

Language: Английский

Citations

2
Circular economy international trade: An investigation of the relationship between European Union circularity and international trade DOI Creative Commons
Deborah de Lange

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144350 - 144350

Published: Nov. 1, 2024

Language: Английский

Citations

2
Promoting economic stability: the role of renewable energy transition in mitigating global volatility DOI
Ashutosh Yadav

International Journal of Energy Sector Management, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 31, 2024

Purpose This study aims to investigate how renewable energy consumption impacts economic risk in volatile economies, with a specific focus on the moderating effects of GDP per capita and trade openness. It further explores nonlinear relationships between risk, highlighting role gross domestic product (GDP capita) openness these effects. Design/methodology/approach The dynamic panel threshold model (DPTM) is used analyze data from World Development Indicators (WDI) 2023 set. Key variables include share, capita), rent, composite volatility index. Quantile regression (QR) ensures robustness across different levels. Findings Trade significantly moderates relationship risk. In high markedly reduces Higher also enhances stabilizing energy. These findings highlight importance integrated policies that foster both adoption for sustainable development. Practical implications offer policymakers insights into promoting stability through investments. Policies enhancing growth can amplify benefits energy, contributing development goals. Social underscores energy’s potential long-term environmental sustainability, ensuring current does not compromise future needs. Originality/value advances understanding filling gap existing literature. incorporates roles within framework.

Language: Английский

Citations

2