Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123973 - 123973
Published: Jan. 15, 2025
Language: Английский
Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 212, P. 123973 - 123973
Published: Jan. 15, 2025
Language: Английский
International Review of Financial Analysis, Journal Year: 2024, Volume and Issue: 95, P. 103345 - 103345
Published: May 3, 2024
Language: Английский
Citations
80Cities, Journal Year: 2023, Volume and Issue: 142, P. 104552 - 104552
Published: Aug. 30, 2023
Language: Английский
Citations
68Published: Jan. 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
Language: Английский
Citations
4Economic Analysis and Policy, Journal Year: 2023, Volume and Issue: 80, P. 482 - 494
Published: Sept. 7, 2023
Language: Английский
Citations
36Energy Economics, Journal Year: 2023, Volume and Issue: 127, P. 107056 - 107056
Published: Sept. 20, 2023
Language: Английский
Citations
28Information Processing & Management, Journal Year: 2023, Volume and Issue: 60(5), P. 103478 - 103478
Published: Aug. 14, 2023
Language: Английский
Citations
26Resources Policy, Journal Year: 2024, Volume and Issue: 89, P. 104637 - 104637
Published: Jan. 12, 2024
Language: Английский
Citations
13Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9218 - 9236
Published: Jan. 8, 2024
Language: Английский
Citations
11Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: March 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.
Language: Английский
Citations
11Sustainability, Journal Year: 2023, Volume and Issue: 15(2), P. 1192 - 1192
Published: Jan. 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.
Language: Английский
Citations
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