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, Journal Year: 2024, Volume and Issue: 208, P. 123720 - 123720

Published: Sept. 4, 2024

Language: 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, Journal Year: 2025, Volume and Issue: 17(5), P. 2185 - 2185

Published: March 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.

Language: 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, Journal Year: 2025, Volume and Issue: 13(8), P. 1279 - 1279

Published: April 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.

Language: Английский

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

Applied Energy, Journal Year: 2025, Volume and Issue: 389, P. 125839 - 125839

Published: April 2, 2025

Language: Английский

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

Published: Nov. 8, 2024

Language: 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, Journal Year: 2024, Volume and Issue: 373, P. 123615 - 123615

Published: Dec. 10, 2024

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