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Will digital trade be friend or foe of the green economy? Unveiling the complexities of green growth

Tinghui Zhang & Chang Hwan Choi

Journal of Applied Economics2025https://doi.org/10.1080/15140326.2025.2464591article
AJG 1ABDC B
Weight
0.60

Abstract

This study employs the Autoregressive Distributed Lag (ARDL) model to examine the long-term equilibrium effects of digital trade (DT), foreign direct investment (FDI), material footprint (MT), and technological innovation (TI) on green total factor productivity (GTFP) across 52 countries from 2005 to 2021. The findings reveal a long-term equilibrium relationship among variables, with DT and TI positively contributing to GTFP growth, while MT and FDI impede it. Non-linear relationships between DT and GTFP are observed at specific quantiles. In developed countries, education enhances DT’s positive effect on GTFP, whereas in developing countries, it appears to have a negative impact. The study advocates for enhancing DT infrastructure and reducing educational inequalities to foster environmental and economic sustainability.

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https://doi.org/https://doi.org/10.1080/15140326.2025.2464591

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@article{tinghui2025,
  title        = {{Will digital trade be friend or foe of the green economy? Unveiling the complexities of green growth}},
  author       = {Tinghui Zhang & Chang Hwan Choi},
  journal      = {Journal of Applied Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/15140326.2025.2464591},
}

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Evidence weight

0.60

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.62 × 0.4 = 0.25
M · momentum0.85 × 0.15 = 0.13
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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