Unpacking the green potential of digital trade: evidence from household energy patterns
The rise of digital trade offers new avenues to overcome traditional constraints in energy access and cognition, fostering the adoption of clean energy. Yet, its micro-level mechanisms remain insufficiently explored. Drawing on data from the 2014–2022 China Family Panel Studies (CFPS), this study ma...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Environmental Research Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7620/ade1ab |
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| Summary: | The rise of digital trade offers new avenues to overcome traditional constraints in energy access and cognition, fostering the adoption of clean energy. Yet, its micro-level mechanisms remain insufficiently explored. Drawing on data from the 2014–2022 China Family Panel Studies (CFPS), this study matches household-level data with provincial digital trade development metrics and employs a Logit fixed-effects model to assess the impact of digital trade on clean energy usage. Results reveal that digital trade significantly increases the likelihood of households adopting clean energy, primarily through enhanced accessibility, improved cognition, and technological diffusion. These findings remain robust across a suite of tests, including hierarchical linear model, fixed-effect adjustments, province-year interaction terms, random-effects models, and double machine learning. Heterogeneity analysis further shows the effect is more pronounced among households with higher social status, lower regional economic development, and those in rural areas. This study empirically uncovers the behavioral transmission channels through which digital trade advances green transitions, offering theoretical insight and policy guidance for integrating digital economies with clean energy agendas. |
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| ISSN: | 2515-7620 |