Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy

Journal of Environmental Management, Год журнала: 2023, Номер 337, С. 117755 - 117755

Опубликована: Март 20, 2023

Язык: Английский

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Examining the influence of green innovations in industrial enterprises on China's smart city development

Technological Forecasting and Social Change, Год журнала: 2023, Номер 199, С. 123031 - 123031

Опубликована: Ноя. 28, 2023

Язык: Английский

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Digital transformation and firms' pollution emissions

Technological Forecasting and Social Change, Год журнала: 2023, Номер 197, С. 122910 - 122910

Опубликована: Окт. 18, 2023

Язык: Английский

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Does the construction of smart cities make cities green? Evidence from a quasi-natural experiment in China

Cities, Год журнала: 2023, Номер 140, С. 104436 - 104436

Опубликована: Июнь 15, 2023

Язык: Английский

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Two birds with one stone: could China’s smart city pilot promote energy efficiency and energy equality?

Journal of Cleaner Production, Год журнала: 2024, Номер 486, С. 144592 - 144592

Опубликована: Дек. 28, 2024

Язык: Английский

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Finding the pioneers of China's smart cities: From the perspective of construction efficiency and construction performance

Technological Forecasting and Social Change, Год журнала: 2024, Номер 204, С. 123410 - 123410

Опубликована: Апрель 29, 2024

Язык: Английский

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Sustainable development through digital innovation: Unveiling the impact of big data comprehensive experimental zones on energy utilization efficiency

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Июль 4, 2024

Abstract Efficient energy utilization stands as a linchpin for national security and sustainable development, particularly in developing countries. The transformative potential of big data driving regional economic growth is pivotal advancing the goals sustainability carbon neutrality. This study employs advanced Generalized Difference‐in‐Differences methods to investigate enduring influence establishing Big Data Comprehensive Experimental Areas (BDCEAs) on efficiency within experimental zones from 2008 2020. Our findings underscore significant role BDCEAs fostering practices contributing global pursuit harmonious coexistence between humanity nature. Through rigorous analysis, we reveal variations, emphasizing substantial impact specific areas, while also exploring underlying mechanisms industrial structure upgrading, technological innovation, resource allocation optimization. research enriches understanding factors influencing efficiency, providing valuable insights leveraging digital economy promote greener more future.

Язык: Английский

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Aggravating or alleviating? Smart city construction and urban inequality in China

Technology in Society, Год журнала: 2024, Номер 77, С. 102562 - 102562

Опубликована: Апрель 26, 2024

Язык: Английский

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Utilizing Data Collaboration to Drive Nitrogen Pollution Mitigation and Carbon Emission Reduction at City Scale

Deleted Journal, Год журнала: 2025, Номер unknown, С. 100028 - 100028

Опубликована: Март 1, 2025

Язык: Английский

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The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 19, 2024

Based on panel data from 210 prefecture-level cities in China 2003 to 2021, this study employs the Time-Varying Differences-in-Differences (Time-Varying DID) approach systematically examine impact of smart city construction pollution emissions and its underlying mechanisms. Additionally, Propensity Score Matching-Differences-in-Differences method is employed for further validation. The research findings indicate that Smart City Construction (SCC) significantly reduces urban Volume Sewage Discharge (VSD), sulfur dioxide (SO2), Emissions Fumes Dust (EFD), thereby mitigating (PE) enhancing environmental quality. Mechanism analysis reveals SCC achieves these effects through scale effects, structural technological effects. heterogeneity shows provincial capital exhibit a stronger suppression effect compared non-provincial cities. Moreover, with lower levels education attainment demonstrate ability curb emissions, while larger more pronounced emissions. marginal contributions mainly consist three aspects: Firstly, it enriches literature factors by assessing, first time, influence PE. Secondly, comprehensive employed, integrating VSD, EFD, SO2 data, economic at level. DID used evaluate policy SCC. Finally, analyzes mechanisms various perspectives.

Язык: Английский

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