Enhancing climate action in OECD countries: the role of environmental policy stringency for energy transitioning to a sustainable environment

Environmental Sciences Europe, Год журнала: 2024, Номер 36(1)

Опубликована: Сен. 3, 2024

Climate change affects the world economy, environment, and human well-being, jeopardizing overall sustainability. The escalating impacts of climate emphasize necessity to assess moderating influence environmental policy stringency (EPS) on association energy transition (ET) GHG emissions from 1990 2020 across 36 OECD countries. Further, this study incorporates direct impact (ET), environmental-related technology (ERTs), green innovation (INV), Gross Domestic Product (GDP) emission. For purpose, employs an extensive range econometric techniques, including DOLS, FMOLS, CCR, MMQR approaches evaluate data attributes. findings demonstrate that interaction ET*EPS contributes lower −0.271% −0.300% all quantiles (20th 80th). This indicates implementation policies fosters adoption transitions mitigate negative effects change, particularly reduce emissions. technologies (ERTs) (INV) decrease by 0.15%–0.13% 0.967%–2.049%, respectively, quantiles, thus encouraging heterogeneous effect ERTs is due varying levels in sample highlight crucial need for integrating strictness measures effectively It highlights significance adaptive, responsive are line with SDGs 7 & 13, which concentrate sustainable practices integrated action economies.

Язык: Английский

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Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Ноя. 25, 2024

In recent years, the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) region has faced pressing environmental concern, containing deforestation, pollution, biodiversity depletion, increasing vulnerability to change. Since many member countries depend highly on Bengal's ecosystem livelihoods economic activities, addressing such challenges is crucial sustainable development. This research examines impacts forestry, urbanization, financial inclusion load capacity factor (LCF) in period 2000–2022. The study seeks understand factors influencing regional LCF using econometric methods, as cross-sectional dependence, slope homogeneity tests, second-generation unit root panel cointegration analyses. Driscoll Kraay Standard Error (DKSE) method reveals a U-shaped connection between income LCF, supporting hypothesis Load Capacity Curve (LCC) BIMSTEC zone. result indicates strong positive connections while highlighting adverse effects inclusion. Additional quantile regression (QR) analysis validation confirms steady association across various quantiles. highlights benefits forestry urbanization drawbacks population size. suggests promoting balanced urban development, cautious inclusion, management, providing insights policymakers develop strategies resilience prosperity region.

Язык: Английский

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Harmonizing sustainable Horizons: Deciphering the intricate nexus between disaggregated financial inclusion and clean energy transition in BRICS economies

Energy Strategy Reviews, Год журнала: 2024, Номер 55, С. 101531 - 101531

Опубликована: Сен. 1, 2024

Язык: Английский

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What is the Role of Environmental Stress on Public Health? Asymmetric Evidence on Carbon Emissions, Ecological Footprint, and Load Capacity Factor

Environmental Research and Technology, Год журнала: 2024, Номер 7(3), С. 291 - 302

Опубликована: Март 19, 2024

The aim of this paper is to analyze the effects carbon emission, ecological footprint, which takes into account demand side environment, and load capacity factor, both supply sides on health expenditures with conventional quantile methods. According co-integration approach, there no relationship between environment expenditures. other side, findings obtained from method, can give robust results in presence tailed distributions possible endogeneity problems consider asymmetric structure data set, show existence a long-term variables. coefficient estimates, while emission footprint increase expenditures, factor decreases.

Язык: Английский

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Does industry 4.0 and environmental quality asymmetrically affect South Africa’s manufacturing sector? A fresh insight from nonlinear autoregressive distributed lag (NARDL) model

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Июль 10, 2024

Abstract Owing to recent developments and implications inspired by fourth industrial revolution (4IR) technologies in the global manufacturing sector through Industry 4.0 (I4.0) concept, this study was conducted discover impacts of I4.0 environmental quality on South African sector, considering governance quality. To best our knowledge, no has analysed long-run short I4.0, integrating bound test cointegration, Fully-Modified Ordinary Least Squares (FMOLS) & Dynamic (DOLS) nonlinear autoregressive distributed lag (NARDL) estimations techniques. Therefore, attempts bridge gap using different econometric approaches. The data used spans from 2000Q1 2020Q4. principal component analysis create components. In study, utilising dynamic NARDL, it is seen that LCO2, representing quality, possesses positive significant relationship with LMVA, but when interaction variables (GOV, INS, POL ECO), there exists a insignificant LMVA showing dearth green innovative Africa respective its significance. Utilising FMOLS DOLS, GOV, ECO which represents mostly negative relationships even variable proving have not yet started be impactful industry at large.

Язык: Английский

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