Advancements in coupling strategies for urban microclimate and building energy models

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 218, P. 115790 - 115790

Published: May 8, 2025

Language: Английский

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Impact of extreme high temperatures on pollution emissions of enterprise: Evidence from China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121493 - 121493

Published: June 18, 2024

Language: Английский

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Which works better? Comparing the multiple effects of heterogeneous environmental regulations on urban green economic transformation in China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122124 - 122124

Published: Aug. 11, 2024

Language: Английский

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Dynamic influence of remittances on energy poverty eradication in Pakistan: A moderation analysis through consumption and investment

Review of Development Economics, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Abstract Energy poverty is a prevalent subject in Pakistan, and reducing it will accelerate the pace towards reaching targets of sustainable development goal 7 carbon neutrality. Workers' remittances have proved to be major income source not clear how they can channeled improve energy access consumption eradicate poverty. Therefore, this study designed investigate impact considering both weak (energy consumption) strong (Multi‐Dimensional Poverty Index [MDEPI]) forms Data from 1990 2020 were gathered analyzed using dynamic‐ARDL simulations understand empirical outcomes. The outcomes show that effectively reduce MDEPI with −0.056 coefficient. results reveal through channel (−1.569); however, relationship ineffective Pakistan. In case form poverty, supported idea individually investment channels alleviate policies should promoted legally initiatives, which build vacuum for solutions eradication

Language: Английский

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Nonlinear impacts of environmental transport taxes and biofuel consumption on greenhouse emissions in the four largest European Union countries

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

Published: Sept. 28, 2024

Abstract Incompatible with the pioneering role of transportation sector in greenhouse gas (GHG) emissions, this research mainly deals GHG emissions from transport sector. In context, study looks at four leading European Union (EU) countries (i.e., Germany, France, Italy, and Spain), investigates their sub‐types aviation, rail, road), uses environmental taxes (ETAX) as main explanatory variable bivariate modeling, considers biofuel consumption (BIO) a control factor multivariate modeling. The monthly data between 2004 2022, quantile‐on‐quantile regression well, Granger causality‐in‐quantiles approaches. results demonstrate that (i) ETAX is completely inefficient on aviation road emissions; (ii) curbs rail France only middle quantiles; (iii) moderating impact BIO, becomes effective declining (iv) BIO has certainly reversing nexus emissions. Overall, highlights stand‐alone ineffective curbing but certain contribution manner. Thus, strongly recommends taking further actions, such more use case study, to support practices combating for EU countries.

Language: Английский

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Investigation of the role of data conversion on prediction results: Evidence from USA's energy-related emissions and source-based energy use data

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

Published: Dec. 13, 2024

Considering data conversion practices in empirical research, this research investigates the role of on prediction results United States (USA), where yearly and monthly energy-related carbon dioxide (CO 2 ) emissions source-based energy consumption is available, which makes USA an appropriate case for analysis. In context, study considers CO as dependent variable, uses use indicators explanatory drivers, performs cointegration regression (CR) approaches datasets between 1989/1 2023/12, consist original series (MOS), converted by quadratic-average-approach (MCSQA), quadratic-average-sum (MCSQS). The reveal that (i) increases R values improves goodness fit criteria models, training testing are above 96%; (ii) causes a change coefficients variables. While direction variables changes from MOS to MCSQA MCSQS, it same across but p-values slightly differentiate; (iii) dynamic OLS approach has highest performance among applied; (iv) importance differentiate. Overall, empirically demonstrates increasing varying impact results. Accordingly, discusses benefit predictions, policymakers can capacity prevent incorrect

Language: Английский

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Environmental regulation and industrial energy efficiency: new evidence from partially linear functional-coefficient models

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Language: Английский

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