Spatio-Temporal Evolution and Interactive Relationship Between Digital Economy and Green Development in China DOI Creative Commons
Tingting Chen, Chunyan Lu,

Yuting Lai

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 11030 - 11030

Опубликована: Ноя. 27, 2024

A digital economy parallel with green development holds profound significance for achieving sustainability. The primary objective of this study was to explore the synergistic interaction effects between and in China forecast their future development. This analyzed spatio-temporal characteristics provincial by integrating a combined assignment method, an unconditional spatial kernel density estimation standard deviation ellipse model. interplay examined using panel vector autoregression Additionally, levels were forecasted univariate time series radial basis function ε-support regression models. results indicate that both exhibited upward trend from 2013 2021, increasing at faster rate. However, domains demonstrated regional disparities processes. mutual intensified as lag period increased. contributed 21% development, whereas 18% economy. initial effect on negative, however, impact gradually diminished over time. influence shown follow consistent transitioning negative positive across eastern, central, western regions. Therefore, it can be seen exerts sustainable albeit one-phase lag. research provides scientific deep integration thereby fostering socioeconomic growth.

Язык: Английский

Spatio-Temporal Evolution and Interactive Relationship Between Digital Economy and Green Development in China DOI Creative Commons
Tingting Chen, Chunyan Lu,

Yuting Lai

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 11030 - 11030

Опубликована: Ноя. 27, 2024

A digital economy parallel with green development holds profound significance for achieving sustainability. The primary objective of this study was to explore the synergistic interaction effects between and in China forecast their future development. This analyzed spatio-temporal characteristics provincial by integrating a combined assignment method, an unconditional spatial kernel density estimation standard deviation ellipse model. interplay examined using panel vector autoregression Additionally, levels were forecasted univariate time series radial basis function ε-support regression models. results indicate that both exhibited upward trend from 2013 2021, increasing at faster rate. However, domains demonstrated regional disparities processes. mutual intensified as lag period increased. contributed 21% development, whereas 18% economy. initial effect on negative, however, impact gradually diminished over time. influence shown follow consistent transitioning negative positive across eastern, central, western regions. Therefore, it can be seen exerts sustainable albeit one-phase lag. research provides scientific deep integration thereby fostering socioeconomic growth.

Язык: Английский

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