The impact of digitalization and energy transition policies on urban energy rebound effects in China: A double machine learning-based causal identification.
- DOI
- 10.1016/j.jenvman.2026.129446
- Published
- 2026 Apr 15
- Container
- Journal of environmental management
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jenvman.2026.129446,
title = {The impact of digitalization and energy transition policies on urban energy rebound effects in China: A double machine learning-based causal identification.},
author = {Gao P and Zhang K and Liu Z},
year = {2026},
journal = {Journal of environmental management},
doi = {10.1016/j.jenvman.2026.129446},
url = {https://doi.org/10.1016/j.jenvman.2026.129446}
}RIS
TY - JOUR TI - The impact of digitalization and energy transition policies on urban energy rebound effects in China: A double machine learning-based causal identification. AU - Gao P AU - Zhang K AU - Liu Z PY - 2026 JO - Journal of environmental management DO - 10.1016/j.jenvman.2026.129446 UR - https://doi.org/10.1016/j.jenvman.2026.129446 ER -
APA
P, G., K, Z., & Z, L. (2026). The impact of digitalization and energy transition policies on urban energy rebound effects in China: A double machine learning-based causal identification.. Journal of environmental management. https://doi.org/10.1016/j.jenvman.2026.129446
Source records
- pubmed · retrieved 2026-09-27T09:09:55.896Z