Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Дек. 17, 2024
Язык: Английский
Environment Development and Sustainability, Год журнала: 2024, Номер unknown
Опубликована: Дек. 17, 2024
Язык: Английский
Technological Forecasting and Social Change, Год журнала: 2024, Номер 209, С. 123777 - 123777
Опубликована: Сен. 26, 2024
Язык: Английский
Процитировано
10Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144777 - 144777
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Energy Economics, Год журнала: 2025, Номер unknown, С. 108317 - 108317
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1Energy, Год журнала: 2024, Номер unknown, С. 132968 - 132968
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
6Sustainable Development, Год журнала: 2025, Номер unknown
Опубликована: Март 6, 2025
ABSTRACT In recent decades, rapid development in emerging economies, particularly within the BRICS bloc, has intensified climate challenges, threatening environmental sustainability. Green energy, technological innovation, and carbon pricing strategies have emerged as key tools for mitigating these impacts while promoting green economic growth, aligning with international goals such 2030 SDGs pledge neutrality by 2060. However, balancing socio‐economic growth sustainability remains a significant challenge countries. This study investigates impact of diffusion, finance, natural resource rents on CO 2 emissions economies from 1995 to 2022. The research employs advanced panel data techniques, specifically Augmented Mean Group (AMG) Common Correlated Effects (CCEMG) models, account cross‐sectional dependence heterogeneity. empirical results show that finance all negative emissions, contributing emission reductions. contrast, diffusion are positively associated indicating higher lead an increase emissions. Dumitrescu Hurlin causality tests reveal bidirectional causal relationships, suggesting not only do factors influence but also advancement technologies growth. Based findings, recommends policy actions support SDG targets, 7, 8, 9, 13, through promotion R&D, circular economy practices.
Язык: Английский
Процитировано
0Energy Economics, Год журнала: 2025, Номер unknown, С. 108391 - 108391
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Business Strategy and the Environment, Год журнала: 2025, Номер unknown
Опубликована: Март 17, 2025
ABSTRACT This paper examines the impact of digital transformation on and upgrading China's manufacturing industry. Utilizing regression analysis, a two‐way fixed effects model, mechanism analysis panel threshold study explores how enhances technological advancement green innovation in The findings highlight heterogeneity across dimensions, regions, industries, reveal nonlinear, increasing marginal When surpasses key thresholds (0.2770 for transformation, 0.4884 level, 8.9504 innovation), its positive is significantly amplified. research provides theoretical framework empirical evidence to guide industry's strategic development sustainable upgrading.
Язык: Английский
Процитировано
0International Journal of Innovation Studies, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Applied Economics Letters, Год журнала: 2025, Номер unknown, С. 1 - 6
Опубликована: Март 20, 2025
Язык: Английский
Процитировано
0Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 13
Опубликована: Март 27, 2025
In the context of “dual-carbon” goal, studying complex relationship between carbon emissions and ecosystem service values brought about by land-use change is great significance in promoting regional low-carbon optimization, territorial spatial governance, achievement goal peaking neutrality. This study takes 286 cities China as research object, based on data China’s land use value (ESV) from 2012 to 2022, adopts geo-spatial analysis techniques such autocorrelation geographically-weighted regression models temporal characteristics, degree coupling coordination, influencing factors municipal total ESV. The results show that (1) have exhibited an overall increasing trend 2022. ESV has shown a downward characterized inverted “N” shape. (2) coordination effect generally shows mirrored “L” growth (3) There significant negative correlation ESV, primarily manifested “high-high,” “high-low,” “low-low” clustering characteristics. (4) Three socio-economic factors—local fiscal general budget expenditure, energy utilization efficiency, population—positively influence Strictly controlling local population can effectively promote China's green, development ecological security.
Язык: Английский
Процитировано
0