Natural resource consumption and industrial green transformation: Does the digital economy matter?

Resources Policy, Год журнала: 2023, Номер 81, С. 103396 - 103396

Опубликована: Фев. 24, 2023

Язык: Английский

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Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk

Energy Economics, Год журнала: 2023, Номер 119, С. 106570 - 106570

Опубликована: Фев. 14, 2023

Язык: Английский

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Technology, Urbanization and Natural Gas Supply Matter for Carbon Neutrality: A New Evidence of Environmental Sustainability under the Prism of COP26

Resources Policy, Год журнала: 2023, Номер 82, С. 103465 - 103465

Опубликована: Март 28, 2023

Язык: Английский

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What derives renewable energy transition in G-7 and E-7 countries? The role of financial development and mineral markets

Energy Economics, Год журнала: 2023, Номер 121, С. 106661 - 106661

Опубликована: Апрель 11, 2023

Язык: Английский

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Articulating CO2 emissions limiting roles of nuclear energy and ICT under the EKC hypothesis: An application of non-parametric MMQR approach

Geoscience Frontiers, Год журнала: 2023, Номер 14(5), С. 101589 - 101589

Опубликована: Март 23, 2023

Limiting toxic elements from being exposed to the world's atmosphere has been biggest challenge among environmental researchers and stakeholders. Climate change conferences have counselling global economies take serious steps toward profound decarbonization keep universal temperature below 1.5 °C. In this context, direction of research changed, are more focused on tracing how limit pollution it threshold level. milieu, nuclear energy can make a big difference along with other alternatives fossil energy. Therefore, we extend extant literature by exploring dynamic effects atomic ICT carbon emissions (CO2) for top countries using data 1990 2017. To obtain robust findings, deploy novel non-parametric econometric approach (i.e., method moments quantile regression). The results suggest that is sustainable alternative historical fuel as curbs CO2 in lower, middle, upper quantiles. Furthermore, our findings corroborate penetration through internet, mobile telephone plays vital role improving quality. Moreover, unveil linear economic growth jeopardizes environment unleashing harmful gases. also support existence Environmental Kuznets Curve (EKC) hypothesis confirming negative association between polynomial (squared-GDP) designated nations. Also, Granger causality test reaffirms causal nexus selected series runs technological innovation emissions, indicating any policy shock both leads degradation. We, therefore, advocate territories enriching their baskets boost achieve 100% decoupling pollution.

Язык: Английский

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Introducing a new measure of energy transition: Green quality of energy mix and its impact on CO2 emissions

Energy Economics, Год журнала: 2023, Номер 122, С. 106702 - 106702

Опубликована: Май 5, 2023

This paper introduces a novel measure of the energy transition, i.e., green quality mix (GREENQ) across Organisation for Economic Co-operation and Development (OECD) countries. Then, examines impact GREENQ on CO2 emissions in panel dataset 36 OECD countries from 1970 to 2021. The explanatory variables include per capita income, institutional technology. Long-run data estimations indicate that technology increase emissions. evidence is negatively related level These findings are robust employ different estimation techniques. Potential policy implications also discussed.

Язык: Английский

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Environmental quality and energy transition prospects for G-7 economies: The prominence of environment-related ICT innovations, financial and human development

Journal of Environmental Management, Год журнала: 2023, Номер 342, С. 118120 - 118120

Опубликована: Май 12, 2023

Язык: Английский

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Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Авг. 14, 2024

Abstract This study examines the multifaceted impact of artificial intelligence (AI) on environmental sustainability, specifically targeting ecological footprints, carbon emissions, and energy transitions. Utilizing panel data from 67 countries, we employ System Generalized Method Moments (SYS-GMM) Dynamic Panel Threshold Models (DPTM) to analyze complex interactions between AI development key metrics. The estimated coefficients benchmark model show that significantly reduces footprints emissions while promoting transitions, with most substantial observed in followed by footprint reduction reduction. Nonlinear analysis indicates several insights: (i) a higher proportion industrial sector diminishes inhibitory effect but enhances its positive transitions; (ii) increased trade openness amplifies AI’s ability reduce promote (iii) benefits are more pronounced at levels development, enhancing (iv) as transition process deepens, effectiveness reducing increases, role further transitions decreases. enriches existing literature providing nuanced understanding offers robust scientific foundation for global policymakers develop sustainable management frameworks.

Язык: Английский

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Asymmetric effect of economic policy uncertainty, political stability, energy consumption, and economic growth on CO2 emissions: evidence from G-7 countries

Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(16), С. 47422 - 47437

Опубликована: Фев. 4, 2023

Язык: Английский

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Economy-energy-environment nexus: The role of information and communication technology towards green development in Malaysia

Innovation and Green Development, Год журнала: 2023, Номер 2(4), С. 100085 - 100085

Опубликована: Июнь 27, 2023

Global warming and climate change are caused by anthropogenic greenhouse gas (GHG) emissions from rising energy consumption due to population economic growth. Over the past decade, information communication technology (ICT) usage has increased which may increase utilization GHG emissions. Conversely, ICT's clean technologies can minimize pollution. Therefore, this study investigated dynamic influences of ICT, growth, population, use on in Malaysia employing autoregressive distributed lag (ARDL) approach using data 1990 2021. The results ARDL bounds test indicated existence a long-run link between variables. revealed that 1% number Internet users could 0.013% short run but cut 0.077% long run. Additionally, have positive association with robustness outcomes been checked Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegration Regression (CCR) methods. This article offers additional policy proposals for emission reduction sustainable development promoting renewable financing green ICT.

Язык: Английский

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