Technological Forecasting and Social Change, Год журнала: 2025, Номер 212, С. 123973 - 123973
Опубликована: Янв. 15, 2025
Язык: Английский
Technological Forecasting and Social Change, Год журнала: 2025, Номер 212, С. 123973 - 123973
Опубликована: Янв. 15, 2025
Язык: Английский
International Review of Financial Analysis, Год журнала: 2024, Номер 95, С. 103345 - 103345
Опубликована: Май 3, 2024
Язык: Английский
Процитировано
80Cities, Год журнала: 2023, Номер 142, С. 104552 - 104552
Опубликована: Авг. 30, 2023
Язык: Английский
Процитировано
68Опубликована: Янв. 1, 2025
This article utilizes panel data from 31 Chinese provinces during the time span 2011 to 2020 evaluate effect of digital finance on real economy perspective green innovation. Empirical models show that can accelerate growth in economy. Specifically, influence is more pronounced areas with high financial development. Further analysis shows innovation plays role mechanism through which promotes economic growth. article’s findings demonstrate government foster profound incorporation into
Язык: Английский
Процитировано
4Economic Analysis and Policy, Год журнала: 2023, Номер 80, С. 482 - 494
Опубликована: Сен. 7, 2023
Язык: Английский
Процитировано
36Energy Economics, Год журнала: 2023, Номер 127, С. 107056 - 107056
Опубликована: Сен. 20, 2023
Язык: Английский
Процитировано
28Information Processing & Management, Год журнала: 2023, Номер 60(5), С. 103478 - 103478
Опубликована: Авг. 14, 2023
Язык: Английский
Процитировано
26Resources Policy, Год журнала: 2024, Номер 89, С. 104637 - 104637
Опубликована: Янв. 12, 2024
Язык: Английский
Процитировано
13Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(6), С. 9218 - 9236
Опубликована: Янв. 8, 2024
Язык: Английский
Процитировано
11Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Март 2, 2024
Abstract This paper examines the coupling coordination degree between digital economy and green technology innovation in 19 urban agglomerations across China from 2011 to 2020. Through analysis of model, spatial autocorrelation, multi-distance clustering analysis, kernel density grey correlation this study uncovers mechanism Chinese agglomerations. Data revealed a significant increase within However, there are noticeable imbalances trend. Additionally, distance highlights shift random distribution clustered characteristics. The polarization features vary among each agglomeration exhibit positive correlation. Factors such as economic sustainability, creative talent, policy support, impetus, technological support will affect China's Policy recommendations proposed foster development economy, promote coordinated growth beyond clusters, ultimately build ecological civilization that is both intelligent.
Язык: Английский
Процитировано
11Sustainability, Год журнала: 2023, Номер 15(2), С. 1192 - 1192
Опубликована: Янв. 9, 2023
Digital inclusive finance is key to China’s agriculture and low-carbon economics. The panel data for 30 provinces were chosen from 2011 2019. An SBM GML model was applied in the thesis measure agricultural green total factor productivity (GTFP), determine how Inclusive Finance would affect GTFP a two-way fixed effect created. This study found that, 2019, advancement of could effectively enhance drive continuous increase China. Specifically, increased by 0.288% as result every 1% rise index; helps technologies advance become more effective. According mechanism test, increases growth improving technology innovation. Further analysis shows that development significantly related depth digitalization Finance, but not terms its breadth. above findings provide new ideas empirical evidence revealing connection among and, on this basis, designing relevant policies.
Язык: Английский
Процитировано
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