The impact of digital trade on inclusive green growth—evidence from China’s experience DOI Creative Commons

Yanling Chu,

Yijing Du,

Yang Yuetao

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 28, 2025

Inclusive green growth, as a form of and shared is an important way to promote the realization common prosperity all people. As emerging trade model, digital has had profound impact on sustainable development become driving force for promoting inclusive growth. Based panel data 31 provinces in China from 2014 2021, this study introduces two research methods, EWM- TOPSIS regression utilizes analysis transmission mechanism heterogeneity deeply explore growth its intrinsic under perspective spatial correlation. The results show that: (1) Digital effectively promotes conclusion verified be robust by excluding extreme values, adding control variables. (2) Mechanism testing shows that can optimizing industrial structure. (3) Heterogeneity tests enabling effect more pronounced eastern, central western regions at 25%, 50% 75% quintiles Therefore, it great significance use future coordinate various structure, enhance overall level economic development.

Language: Английский

The Characteristics and Optimization of Science and Technology Innovation Policy Mix in China’s Transportation Sector DOI Open Access

Xue Ling Zheng,

Jing Wu,

Xiaoyang Chen

et al.

Open Journal of Social Sciences, Journal Year: 2025, Volume and Issue: 13(04), P. 156 - 169

Published: Jan. 1, 2025

Language: Английский

Citations

0
The impact of digital trade on inclusive green growth—evidence from China’s experience DOI Creative Commons

Yanling Chu,

Yijing Du,

Yang Yuetao

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 28, 2025

Inclusive green growth, as a form of and shared is an important way to promote the realization common prosperity all people. As emerging trade model, digital has had profound impact on sustainable development become driving force for promoting inclusive growth. Based panel data 31 provinces in China from 2014 2021, this study introduces two research methods, EWM- TOPSIS regression utilizes analysis transmission mechanism heterogeneity deeply explore growth its intrinsic under perspective spatial correlation. The results show that: (1) Digital effectively promotes conclusion verified be robust by excluding extreme values, adding control variables. (2) Mechanism testing shows that can optimizing industrial structure. (3) Heterogeneity tests enabling effect more pronounced eastern, central western regions at 25%, 50% 75% quintiles Therefore, it great significance use future coordinate various structure, enhance overall level economic development.

Language: Английский

Citations

0