Bringing Climate Action Into Perspective: Do the Engagements of Green Energy, Technological Innovation, and Tourism Matter in the Post‐COP27 Era? DOI
Jiao Zhu, Wei Zhou, Ridwan Lanre Ibrahim

et al.

Natural Resources Forum, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

ABSTRACT This study examines how green energy, technological innovation, and tourism affect the volatility of carbon dioxide emissions in global economy, considering role globalization, economic growth, population. uses STIRPAT framework based on 1995–2019 dataset. In addition, augmented mean group estimator, fully modified ordinary least squares, dynamic method moments quantile regression are employed to analyze stated model. The results reveal that variables interrelate long run. Moreover, positively drives surge greenhouse gas across quantiles, robustly long‐run estimates obtained from other estimators. Green energy significantly mitigates upper quantiles Other covariates meet expected signs. this context, heterogeneity conditional distribution CO 2 is unveiled throughout examined. Likewise, analysis makes it possible verify functional roles current future environmental degradation. From results, some policy implications derived so respective governments can consider them. These measures focus boosting renewable resources attain sustainability.

Language: Английский

Exploring coupling coordination of new urbanization, green innovation and low-carbon development systems in China DOI
Xuemei Li,

Xiqing Zhou,

Yufeng Zhao

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: 495, P. 145022 - 145022

Published: Feb. 17, 2025

Language: Английский

Citations

2

Innovate, conserve, grow: A comprehensive analysis of technological innovation, energy utilization, and carbon emission in BRICS DOI

Meng Zhang,

Muhammad Imran,

Ronaldo Juanatas

et al.

Natural Resources Forum, Journal Year: 2024, Volume and Issue: unknown

Published: June 30, 2024

Abstract The aim of this study was to embark on a transformative exploration the interplay between technological innovation, renewable energy, economic development, and carbon emissions in BRICS nations, unveiling novel insights that redefine sustainability paradigms contribute global environmental policymaking. This comprehensive spans years 1990–2022, meticulously examining dynamics indicators, energy consumption, generation, progress. dataset's non‐normal distribution prompts use moment quantile regression, providing nuanced with consideration for diverse slopes cross‐sectional dependencies. Validation through “Dumitrescu‐Hurlin panel Causality Test” refines findings, revealing diminishing impact innovation across quantiles. illuminates compelling connection: heightened correlates strongly reduced emissions, particularly evident at lower aligns seamlessly existing research, emphasizing technology's potential sustainability. Conversely, concerning positive association emerges utilization highlighting persistent challenge posed by escalating use. Urgent strategic interventions are underscored address ecological consequences associated rising consumption. intricate relationship electricity production unfolds, renewables' pivotal role mitigating impact. ongoing discussions regarding their indispensable contribution sustainable development. underscores importance prioritizing power initiatives. However, disconcerting surfaces development all quantiles, costs accompanying growth nations. As advances, escalate, presenting substantial challenges imperative balance progress conservation efforts. enriches discourse fostering within nations beyond, marking significant stride toward more environmentally conscious future.

Language: Английский

Citations

12

How to decouple tourism growth from carbon emission? A panel data from China and tourist nations DOI Creative Commons

HeSong Gan,

Dandan Zhu, Muhammad Waqas

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35030 - e35030

Published: July 26, 2024

A pervasive threat regarding human health, ecological balance, progress, and sustainability marks the current era. Many nations are grappling with consequences of overabundance carbon emissions from a wide range destructive activities, which is primary driver air pollution, global warming, warming. Thus, while some countries squandering their riches, others making great strides to keep environment clean green so that future generations may thrive. National governments policymakers now focusing lot energy on addressing dangers posed by environmental concerns climate change. very contentious issue in recent years has been link between change tourism its vulnerability. This study focuses impact fluctuating visitor numbers greenhouse gas emissions, responsible for acceleration warming other changes. Therefore, we look at how most visited countries' have changed due increased tourism. The effects regional scale investigated using panel data analysis spanning 2001-2018 China, including top 80 countries. best-modified assessment methodologies determine overall, direct, indirect tourist spending emissions. findings demonstrate CO2 might be reduced regulation, urbanization, revenue they could through economic expansion, population, Due this distinction, tourists' overall much more harmful than direct impact. In addition, U-shape formed growing economy, vice versa. Several factors population density, growth, GDP growth. Spending infrastructure development expansion also considerably mitigates impacts alteration. results reveal nation's often rise industry. Still, begin decline after certain levels show two important policy implications.

Language: Английский

Citations

11

How Digital Technology Reduces Carbon Emissions: From the Perspective of Green Innovation, Industry Upgrading, and Energy Transition DOI
Huang Jian-gang, Xinya Chen, Xing Zhao

et al.

Journal of the Knowledge Economy, Journal Year: 2024, Volume and Issue: unknown

Published: March 19, 2024

Language: Английский

Citations

9

Machine Learning for Optimising Renewable Energy and Grid Efficiency DOI Creative Commons
Bankole I. Oladapo,

Mattew A. Olawumi,

Francis T. Omigbodun

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(10), P. 1250 - 1250

Published: Oct. 19, 2024

This research investigates the application of machine learning models to optimise renewable energy systems and contribute achieving Net Zero emissions targets. The primary objective is evaluate how can improve forecasting, grid management, storage optimisation, thereby enhancing reliability efficiency sources. methodology involved various models, including Long Short-Term Memory (LSTM), Random Forest, Support Vector Machines (SVMs), ARIMA, predict generation demand patterns. These were evaluated using metrics such as Mean Absolute Error (MAE) Root Squared (RMSE). Key findings include a 15% improvement in after optimisation 10–20% increase battery efficiency. Forest achieved lowest MAE, reducing prediction error by approximately 8.5%. study quantified CO2 emission reductions source, with wind power accounting for 15,000-ton annual reduction, followed hydropower solar 10,000 7500 tons, respectively. concludes that significantly enhance system performance, measurable errors emissions. improvements could help close “ambition gap” 20%, supporting global efforts meet 1.5 °C Paris Agreement

Language: Английский

Citations

9

Measurement and decomposition of green water resource utilization efficiency across multiple water use sectors in China: A perspective on water-saving potential DOI

Yihu Ji,

Qiting Zuo, Chenguang Zhao

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107806 - 107806

Published: Jan. 7, 2025

Language: Английский

Citations

1

Does the new-type urbanization policy promote green technological innovation? Evidence from a quasi-natural experiment in China DOI
Yuxin Liu, Zhou Xiang-hong

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 24, 2025

Assessing the impact of new-type urbanization (NTU) on green technological innovation reveals how effectively policy fosters sustainable growth and advancement. This helps policymakers optimize strategies to promote eco-friendly align national efforts with broader environmental goals. Using panel data from 274 cities in China 2009 2021, this study regards a NTU pilot as quasi-natural experiment uses multi-period difference-in-differences (DID) method examine innovation.Its heterogeneous effects are examined perspective economic development, industrial structure, resource endowment, foundation innovation. Based this, structure research development (R&D) expenditure considered moderating variables analyse mechanism. The findings revealed that (1) has significantly improved level innovation; (2) promotes by optimizing improving R&D expenditure; (3) non-resource-based higher levels, advanced structures, solid for innovation, significant effects.

Language: Английский

Citations

1

Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models DOI Creative Commons
Hasnain Iftikhar, Murad Khan, Justyna Żywiołek

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33148 - e33148

Published: June 20, 2024

Carbon dioxide (CO

Language: Английский

Citations

8

How does new urbanization affect urban carbon emissions? Evidence based on spatial spillover effects and mechanism tests DOI

Weimin Xiang,

Yeqiang Lan, Lei Gan

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102060 - 102060

Published: July 1, 2024

Language: Английский

Citations

7

How does enterprise digitalization affect corporate carbon emission in China: A firm-level study DOI
Yang Yang, Pundarik Mukhopadhaya, Zhuangxiong Yu

et al.

China Economic Review, Journal Year: 2024, Volume and Issue: unknown, P. 102285 - 102285

Published: Sept. 1, 2024

Language: Английский

Citations

7