Testing the load capacity curve hypothesis with green innovation, green tax, green energy, and technological diffusion: A novel approach to Kyoto protocol

Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 4931 - 4945

Published: March 1, 2024

Abstract Environmental degradation, which is seen as the most critical obstacle to sustainable development, addressed by SDGs 7, 11, and 13. The Kyoto Protocol first international agreement solve problem of environmental degradation. purpose this research examine role Annex II nations in promoting sustainability, particularly those that have adopted obligations under Protocol. study tests load capacity curve hypothesis for countries during 1994–2018 period. To begin with, we applied some priori panel data analysis utilized appropriate methods based on results. Unit root, cointegration, long‐run estimators were employed. findings confirmed a relationship model. In end, two different estimators, namely cross‐sectional ARDL augmented mean group estimator, used test validity hypothesis. found while did not hold true all countries, it was only valid Finland. This suggests are adequately contributing achievement targets.

Language: Английский

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Impact of nuclear energy and hydro electricity consumption in achieving environmental quality: Evidence from load capacity factor by quantile based non-linear approaches

Gondwana Research, Journal Year: 2023, Volume and Issue: 129, P. 412 - 424

Published: June 6, 2023

Language: Английский

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Does nuclear energy reduce consumption-based carbon emissions: The role of environmental taxes and trade globalization in highest carbon emitting countries

Nuclear Engineering and Technology, Journal Year: 2023, Volume and Issue: 56(1), P. 180 - 188

Published: Sept. 15, 2023

This research examined consumption-based carbon emission reduction by nuclear energy consumption and environmental tax while considering the context of trade globalization in highest five emitter nations from 1990 to 2020. study used various empirical methodologies, including preliminary analysis check stationarity cointegration, CS-ARDL for long-run analysis, CCEMG, AMG robustness, DH causality test short-term pairwise causation. The results indicated that consumption, tax, help mitigate emissions economic growth population density boost emissions. Furthermore, also found two-way casual connection exists between density, Thus, emphasize need government policies encourage as a strategy reduce achieve maintain development.

Language: Английский

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How do transportation-based environmental taxation and globalization contribute to ecological sustainability?

Ecological Informatics, Journal Year: 2023, Volume and Issue: 74, P. 102009 - 102009

Published: Jan. 26, 2023

Language: Английский

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Extricating the impacts of emissions trading system and energy transition on carbon intensity

Applied Energy, Journal Year: 2023, Volume and Issue: 357, P. 122461 - 122461

Published: Dec. 22, 2023

Language: Английский

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Time, frequency, and quantile-based role of R&D investments in energy on sectoral degradation in the United States

Energy & Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 30, 2024

An important part of environmental pollution has resulted in energy consumption, the level varies across sectors, and R&D investments have been strategic tools this respect. Considering fact, research studies role on CO 2 emissions by focusing USA case as pioneering investing country technologies. In context, study makes a disaggregated analysis performs various nonlinear methods to data between 1975/Q1 2020/Q4. The empirical results demonstrate that (i) strong dependency sectoral times frequencies; (ii) at higher quantiles, nuclear generally declining impact power building sector emissions, whereas renewable stimulate emissions; (iii) are causally effective quantiles; (iv) total curb emissions. demonstrates varying heterogonous based time, frequency, quantile, types. Thus, policymakers should include types, sector-based differentiating impacts re-formulating policy framework critical issue for ensuring sustainable development. Accordingly, policies (e.g. relying investments, re-balance distribution among alternatives, consideration differences) discussed.

Language: Английский

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The Role of Information and Communication Technologies and Energy‐Related Research and Development Investments in Energy Transition: Evidence from the United States of America by Machine Learning Algorithm

Energy Technology, Journal Year: 2024, Volume and Issue: 12(5)

Published: March 4, 2024

In this study, given the critical role and importance of energy transition, effect information communication technologies ( ICT ) is researched levels energy‐related research development (R&D) investments on transition index ETI ), controlling for human capital HC consumption EC income (gross domestic product [ GDP ]) are disaggregated. Therefore, in United States America (USA) focused as world's leading economy, a total five machine learning (ML) algorithms performed, data from 2000/Q1 to 2021/Q4 used. outcomes, it shown that: 1) multivariate adaptive regression splines approach best estimation algorithm among ML approaches based coefficient determination R 2 which has 85% capacity ; 2) most important factors , followed by renewable R&D investments, efficiency nuclear that order; 3) carbon capture storage no significant . overall results suggested technological progress central USA environmental policies implemented should be closely linked progress.

Language: Английский

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Modeling the link between environmental, social, and governance disclosures and scores: the case of publicly traded companies in the Borsa Istanbul Sustainability Index

Financial Innovation, Journal Year: 2024, Volume and Issue: 10(1)

Published: Feb. 28, 2024

Abstract This study constructs a proposed model to investigate the link between environmental, social, and governance (ESG) disclosures ESG scores for publicly traded companies in Borsa Istanbul Sustainability (XUSRD) index. In this context, considers 66 companies, examining recently structured 2022 that were published first time as novel data applying multilayer perceptron (MLP) artificial neural network algorithm. The relevant results are fourfold. (1) MLP algorithm has explanatory power (i.e., R 2 ) of 79% estimating companies’ scores. (2) Common, environment, pillars have respective weights 21.04%, 44.87%, 30.34%, 3.74% total (3) absolute relative significance each reporting principle varies. (4) According significance, most effective is common principle, followed by social environmental principles, whereas principles less significance. Overall, demonstrate linear approach complete deficient inefficient increasing scores; instead, should focus on highest findings contribute literature defining significant stimulating XUSRD

Language: Английский

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Public procurement and green innovation in Chinese enterprises: insights from econometric models and cross-case studies

Asian Journal of Technology Innovation, Journal Year: 2024, Volume and Issue: 32(3), P. 572 - 603

Published: Jan. 7, 2024

This study employs econometric models and cross-case analysis to investigate the impact mechanism of public procurement (PP) on enterprises' green innovation (EGI). Based manual identification government customers, we conduct panel model estimations Chinese listed company data from 2010 2021. Findings reveal that PP has a effect at micro level. Moreover, expected market returns, corporate social responsibility (CSR), financing constraints play mediating role between EGI. Additionally, delved into relationship EGI through study. It not only validates conclusions drawn but also summarises heterogeneous characteristics affecting in practice. contributes existing literature outcomes factors impacting furnishes additional empirical insights mechanisms which enhances

Language: Английский

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Assessing the effect of the aquaculture industry, renewable energy, blue R&D, and maritime transport on GHG emissions in Ireland and Norway

Aquaculture, Journal Year: 2024, Volume and Issue: 586, P. 740769 - 740769

Published: March 6, 2024

Language: Английский

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