Will Digital Trade Emerge as a New Engine for Boosting Green Total Factor Productivity in China?

Under the imperative of carbon emission mitigation, digital trade, emerging as a fusion of digital technologies and international commerce, has become a pivotal conduit for advancing sustainable development. This study constructs an innovative and comprehensive evaluation system for digital trade and utilizes the super-efficiency Slacks-Based Measure Global Malmquist–Luenberger (SBM-GML) model to quantify green total factor productivity (GTFP). It then empirically investigates the impact of digital trade on GTFP in China and its underlying transmission mechanisms. Empirical findings reveal a pronounced spatial gradient in digital trade, characterized by a “strong eastward, advancing westward” trend, while GTFP growth is predominantly driven by technological progress yet marred by regional disparities. Moreover, digital trade is demonstrated to substantially enhance GTFP, with this finding remaining robust in the face of endogeneity tests. Mechanism analyses further confirm that digital trade promotes GTFP through technological innovation incentives, green upgrading of industrial structure, and scale effects. Geographically, the positive impact is particularly evident in central and western regions, suggesting an emerging trade potential in these areas. Temporally, the influence shifted from insignificant before 2016 to strongly positive thereafter, underscoring a “digital carbon reduction multiplier effect” amplified by technological maturity. These findings provide important policy implications for leveraging digital trade to advance sustainable economic transformation.

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Publication Details

Journal
Forests
Published
2026-02-13
DOI
https://doi.org/10.3390/f17020252
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00

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article

Will Digital Trade Emerge as a New Engine for Boosting Green Total Factor Productivity in China?

Qiuxiao Yin, Xiaoqing Wang, Zhi Zhan
Forests
Energy, Environment, Economic Growth
article

Will Digital Trade Emerge as a New Engine for Boosting Green Total Factor Productivity in China?

Qiuxiao Yin, Xiaoqing Wang, Zhi Zhan
article en

Abstract

Under the imperative of carbon emission mitigation, digital trade, emerging as a fusion of digital technologies and international commerce, has become a pivotal conduit for advancing sustainable development. This study constructs an innovative and comprehensive evaluation system for digital trade and utilizes the super-efficiency Slacks-Based Measure Global Malmquist–Luenberger (SBM-GML) model to quantify green total factor productivity (GTFP). It then empirically investigates the impact of digital trade on GTFP in China and its underlying transmission mechanisms. Empirical findings reveal a pronounced spatial gradient in digital trade, characterized by a “strong eastward, advancing westward” trend, while GTFP growth is predominantly driven by technological progress yet marred by regional disparities. Moreover, digital trade is demonstrated to substantially enhance GTFP, with this finding remaining robust in the face of endogeneity tests. Mechanism analyses further confirm that digital trade promotes GTFP through technological innovation incentives, green upgrading of industrial structure, and scale effects. Geographically, the positive impact is particularly evident in central and western regions, suggesting an emerging trade potential in these areas. Temporally, the influence shifted from insignificant before 2016 to strongly positive thereafter, underscoring a “digital carbon reduction multiplier effect” amplified by technological maturity. These findings provide important policy implications for leveraging digital trade to advance sustainable economic transformation.

ForestsVol. 17(2)
Qingdao University (CN), Zhongnan University of Economics and Law (CN)
Natural Science Foundation of Shandong Province, National Office for Philosophy and Social Sciences
Industry, innovation and infrastructure
Openalex Percentile: Top 61%
Energy, Environment, Economic Growth
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