Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123720 - 123720

Опубликована: Сен. 4, 2024

Язык: Английский

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Energy-economy-environment evaluation of building-integrated photovoltaic considering facade factors for representative megacities in China

Applied Energy, Год журнала: 2025, Номер 389, С. 125839 - 125839

Опубликована: Апрель 2, 2025

Язык: Английский

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Research on the Impact of Green Investment on Low-Carbon Economic Development: Based on the Test of Spatial Spillover Effect

Sustainability, Год журнала: 2025, Номер 17(5), С. 2185 - 2185

Опубликована: Март 3, 2025

To address the challenge of achieving coordinated development between economy and environment in context a green economy, this study utilized SBM-GML model to assess total factor carbon productivity across 30 provinces China from 2012 2021. This assessment aimed quantify index low-carbon elucidate its spatial characteristics. The findings indicate following: (1) transition China’s exhibit agglomeration characteristics; however, there are notable disparities degree different regions. (2) influence investments on economic advancement both local adjacent regions exhibits distinct nonlinear attributes, with impact being more pronounced than neighboring effect. (3) Innovation technologies serves as partial intermediary relationship investment advancement. (4) Different types have heterogeneous impacts development.

Язык: Английский

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A Novel Approach to Evaluating Industrial Spatial Structure Upgrading: Evidence from 284 Cities and 96 Sub-Industries in China (1978–2022)

Mathematics, Год журнала: 2025, Номер 13(8), С. 1279 - 1279

Опубликована: Апрель 13, 2025

This paper introduces a novel spatial angle index method for evaluating industrial structure upgrading, drawing on review and critique of existing approaches, including the traditional proportional method, hierarchy coefficient, production efficiency cosine method. The proposed integrates both local projected indices, accounting actual industry proportions specific regions assessing deviation these indices from extreme states. approach effectively captures spillover effects between combined influence points upgrading. Utilizing firm survival big data 96 sub-industries across 284 cities in China 1978 to 2022, evaluates upgrading levels examines their spatiotemporal evolution patterns using kernel density estimation. study reveals that although different weight matrices (commuting distance, latitude–longitude commuting time) produce slightly results, differences are not substantial. Notably, analysis shows tertiary sector consistently demonstrates superior levels, while secondary has underperformed, particularly since 1992. primary sector, however, experienced significant improvements, at times even surpassing sector. findings further suggest changes occurred before 1987, pace change stabilized 1988.

Язык: Английский

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Characterization and regional linkage analysis of PM2.5 emissions driven by energy consumption in mainland China, 2007–2017

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123615 - 123615

Опубликована: Дек. 10, 2024

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Research on the optimization of new energy development and investment: Taking Shenzhen as an example

Опубликована: Ноя. 8, 2024

Язык: Английский

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