Technology-driven carbon reduction: Analyzing the impact of digital technology on China's carbon emission and its mechanism

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123124 - 123124

Опубликована: Дек. 21, 2023

Язык: Английский

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Pathways towards carbon neutrality in low carbon cities: The role of green patents, R&D and energy use for carbon emissions

Technological Forecasting and Social Change, Год журнала: 2023, Номер 200, С. 123109 - 123109

Опубликована: Дек. 30, 2023

Язык: Английский

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The impact of digital government on corporate green innovation: Evidence from China

Technological Forecasting and Social Change, Год журнала: 2024, Номер 206, С. 123570 - 123570

Опубликована: Июль 8, 2024

Язык: Английский

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Carbon emission reduction contribution analysis of electricity enterprises in urban green development: A quantum spherical fuzzy sets-based decision framework

Technological Forecasting and Social Change, Год журнала: 2024, Номер 200, С. 123181 - 123181

Опубликована: Янв. 3, 2024

Язык: Английский

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How does the digital economy affect the green transition: The role of industrial intelligence and E-commerce

Research in International Business and Finance, Год журнала: 2024, Номер 73, С. 102541 - 102541

Опубликована: Авг. 27, 2024

Язык: Английский

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Blue Sky Protection Campaign: Assessing the Role of Digital Technology in Reducing Air Pollution

Systems, Год журнала: 2024, Номер 12(2), С. 55 - 55

Опубликована: Фев. 5, 2024

Air pollution severely threatens people’s health and sustainable economic development. In the era of digital economy, modern information technology is profoundly changing way governments govern, production mode enterprises, living behavior residents. Whether can bring ecological welfare needs to be further studied. Based on panel data from 269 Chinese cities 2006 2021, this study empirically examines impact air by using two-way fixed effect model. The results show that will significantly reduce concentration fine particles in help protect atmospheric environment. are still valid after interactive model two-stage least square method robustness test causality identification. Digital also promoting green innovation, improving energy efficiency, easing market segmentation. reducing heterogeneous. plays a more substantial role resource-based areas with high degree modernization commodity supply chain. positive affected amount pollutants emitted. When PM2.5 high, protecting atmosphere strongly highlighted. This research beneficial exploration environment while building an civilization society. conclusion urban managers, public, business operators entirely use equipment such as 5G, remote sensing, Internet Things their respective fields

Язык: Английский

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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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The Impact of Innovation-Driven Industrial Clusters on Urban Carbon Emission Efficiency: Empirical Evidence from China

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106220 - 106220

Опубликована: Фев. 1, 2025

Язык: Английский

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Does Income Inequality Undermine the Carbon Abatement Benefits of Artificial Intelligence?

Journal of Cleaner Production, Год журнала: 2024, Номер 472, С. 143437 - 143437

Опубликована: Авг. 18, 2024

Язык: Английский

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Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105776 - 105776

Опубликована: Авг. 26, 2024

Язык: Английский

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