Covariance Matrix Adaptation Driven Dynamic Multi-population Colony Predation Optimizer: Insights, Qualitative Analysis, and Constrained Engineering Optimization

Applied Soft Computing, Год журнала: 2025, Номер unknown, С. 113041 - 113041

Опубликована: Март 1, 2025

Язык: Английский

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Research on the carbon emissions reduction effects of China’s digital economy: moderating role of the national big data comprehensive pilot zone policy

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Апрель 1, 2025

The rapid expansion of the digital economy presents substantial opportunities for achieving “dual carbon” objectives in China and globally. Understanding how contributes to carbon emission reduction is essential promoting high-quality economic growth. This study examines mechanisms through which affects emissions, with a focus on “production side” social reproduction process. Using panel data from 30 provincial-level regions between 2012 2022, this employs dual fixed-effects model mediation effect analyze impact emissions. It explores three key channels–scale effects, structural technological effects. Additionally, moderating applied assess role National Big Data Comprehensive Pilot Zone (NBDCPZ) policy enhancing effects economy. findings indicate that: (1) plays significant reducing its being more pronounced eastern areas abundant energy resources higher levels development. (2) On production side, progress upgrading mediate whereas scale increases However, combined outweighs negative expansion. (3) analysis reveals that NBDCPZ amplifies economy, further strengthening prohibitive influence As nations increasingly prioritize sustainable development, provides valuable insights into by reduction. highlight need region-specific policies leverage transformation achieve neutrality goals.

Язык: Английский

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Study on the spillover effect of digital economy development on CO2 emissions

Frontiers in Energy Research, Год журнала: 2024, Номер 12

Опубликована: Фев. 5, 2024

To study the spillover effect of digital economy development on carbon emissions, this innovatively constructs different spatial weight matrices, based 2011–2020 panel data covering 30 Chinese provinces, and it explores direct spillovers, conducted spillovers from channels, such as human capital, service industry development, information emissions through Durbin model combined with a mediating model. The results show that there is significant heterogeneity in development; terms regions, eastern region has highest average level central annual growth rate. Digital can directly suppress also indirectly by driving technological innovation optimizing energy consumption structure, exists effect. Under significantly negative. Regions same are more likely to exert emissions.

Язык: Английский

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Research on the Impact of the Digital Economy and Technological Innovation on Agricultural Carbon Emissions

Land, Год журнала: 2024, Номер 13(6), С. 821 - 821

Опубликована: Июнь 7, 2024

The digital economy, closely linked to agricultural progress, plays a key role in reducing carbon emissions. By utilizing panel data between 2011 and 2021 from 30 Chinese provincial-level regions, the present work empirically assesses direct impact nonlinear spatial spillover effects of economy on emissions, where methodologies including fixed effects, threshold models, econometrics are employed. results were as follows: (1) led remarkable inhibition which was consistent across various robustness checks. (2) reduction efficiency presented obvious variation, had greater negative effect eastern regions major grain-producing regions. (3) technological innovation played effect, showing an “inverted U-shaped” characteristic increasing first then decreasing overall. (4) This emission abatement also showed significant aspect, meaning that development one area prominently abates emissions adjacent provinces. Our findings might provide theoretical empirical foundation for comprehending addressing China perspective.

Язык: Английский

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Spatial diffusion of the socio-economic effects from the deployment of energy technologies in Spain

Spatial Economic Analysis, Год журнала: 2024, Номер 19(3), С. 501 - 520

Опубликована: Май 7, 2024

The paper covers an application to spatial economic analysis, based on a multiregional input-output model. Considering the challenges of energy sector, this method is applied analyse diffusion effect, Spanish investment in different technologies covering several policy scenarios, terms added value and employment. Sector disaggregation also analysed. Results show that renewable sources offer excellent opportunities for employment growth at global level. deployment has positive spillover effects China Germany, but its impact social development not significant.

Язык: Английский

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The impact of the digital economy on environmental pollution: a perspective on collaborative governance between government and Public

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Июль 3, 2024

The rapid development of the digital economy is driving transformative changes in a multifaceted collaborative environmental governance system. From perspective between government and public, this study employs double fixed-effects models, spatial econometric instrumental variables methods to empirically explore how influences pollution, using panel data from 30 provinces China spanning 2011 2022. results demonstrate that significantly lowers pollution. primary mechanism through government’s behaviors, which are positively moderated by public concerns, enhancing effectiveness. Additionally, induces spillover effect on This promotion management poised become pivotal direction future governance.

Язык: Английский

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Outdoor design PM2.5 concentration method for fresh air systems based on dual-carbon target: A case study of urban economic regions from China

Thermal Science, Год журнала: 2024, Номер 28(4 Part A), С. 3141 - 3154

Опубликована: Янв. 1, 2024

Under the goal of ?achieving carbon peak by 2030 and neutrality 2060?, how to select type fresh air system has become a key area ener?gy conservation. The method outdoor design PM2.5 concentration is one important factors affecting selection filtration system. This paper first analyzed values 31 cities in China from 2017 2020 based on mathematical induction, next gave recommended coeffi?cient K under six urban economic regions methods combination with actual situation. Finally, filters five typical was taken as an example, differences coefficient different were compared analyzed. results showed that could meet required value needs region. per capita GDP best. conditions, strict normal conditions differs average 0.06 0.04. will provide new for correct systems achieve dual energy-saving goal.

Язык: Английский

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Spatial spillover effect and driving factors of urban carbon emissions in the Yellow River Basin using nighttime light data

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

Опубликована: Авг. 24, 2024

Yellow River Basin (YRB) is a pivotal region for energy consumption and carbon emissions (CEs) in China, with cities emerging as the main sources of regional CEs. This highlights their critical role achieving sustainable development China's neutrality. Consequently, there pressing need detailed exploration urban spillover effects an in-depth analysis complex determinants influencing CEs within YRB. Remote sensing data provide optimal conditions conducting extensive studies across large geographical areas extended time periods. study integrates DMSP/OLS NPP/VIIRS nighttime light datasets longitudinal Using harmonized dataset from 2007 to 2021, this quantifies 58 prefecture-level By combining ESDA, STIRPAT model spatial econometric model, investigation further clarifies empirically driving factors The delineates phase-wise augmentation CEs, converging towards distinct distribution characterized by "lower reach > middle upper reach". autocorrelation tests unravel interplay between agglomeration differentiation patterns underscored pronounced lock-in phenomena. Significantly, demonstrates that urbanization, economic development, structure, green coverage rate, industrial population, technological progress, FDI each exhibit varied direct indirect effect on Furthermore, it elaborates potential policy implications future research directions, offering crucial insights formulating mitigation strategies advance development.

Язык: Английский

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The impact of digitalization on low-carbon transition in China: the moderating role of dual development targets

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Май 28, 2024

Язык: Английский

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Enhanced Long-Term Prediction Based on 2D Tensorization for Building Energy Consumption

Journal of intelligence and knowledge engineering., Год журнала: 2024, Номер 2(1), С. 25 - None

Опубликована: Март 1, 2024

Building energy consumption constitutes a significant contributor to greenhouse gas emissions. Precise forecasting of in buildings plays pivotal role managing building efficiently, thereby aiding the reduction However, existing prediction algorithms often focus on within-period variations data and overlook between-period variations. This limitation makes it challenging achieve precise results, especially for long-term forecasts. To address this research gap, paper proposes an Enhanced Long-Term Prediction based 2D Tensorization (ELP2T) consumption. First, Frequency-Guided Network (FG-2TN) is proposed. Energy data, when represented as one-dimensional time series, faces certain limitations, FG-2TN employed these limitations. Second, Progress-Optimized Deep Convolutional (PO-DCN) It designed efficiently extract learn features from obtained two-dimensional tensors with fewer parameters less time. Third, modular method proposed transform series into using Fast Fourier transform. These are processed then concatenated sequence output. Ultimately, comparative analysis was carried out several traditional highlight superior performance ELP2T model. The average R² score our 0.807, representing impressive enhancement 11.06% compared most advanced alternatives. substantial improvement firmly establishes superiority approach. Especially, considering length 720 units, gain metric increases 18.09%, underscoring pronounced advantage addressing scenarios.

Язык: Английский

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