Recontextualizing Telecouplings in Electricity-Driven Land Use Flows via Global Supply Chains

The global energy transition is expected to require three to twenty times more land areas than fossil fuel-based power generation, making the availability of suitable land for the global energy transition a key challenge. Based on different types of energy resources, this study designs a telecoupling multi-regional input–output (MRIO) model to analyze cross-border electricity-driven embodied land appropriation patterns. The results show that the land footprint associated with renewable energy is substantially lower than that associated with conventional power generation. However, the growth rate of this footprint is 2.18 times higher than that of conventional electricity generation. China and Germany are identified as key export markets for wind- and solar- driven embodied land. The share of electricity-driven embodied land from China to the United States, Japan, and Germany declined, whereas the embodied land flowing to countries including South Korea, India, and Singapore increased. Embodied land-exporting nations face trilemma issues related to environmental degradation chain reactions, resource consumption threshold lines, and social distribution tensions, which may significantly affect decarbonization progresses. By integrating renewable power infrastructures and land use occupation, this analytical framework is expected to advance the understanding of energy–land nexus dynamics, providing theoretical foundations for cross-system governance in the implementation of carbon neutrality.

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Publication Details

Journal
Land
Published
2025-10-28
DOI
https://doi.org/10.3390/land14112150
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

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article

Recontextualizing Telecouplings in Electricity-Driven Land Use Flows via Global Supply Chains

Chaohui Li, M. Gill, Ying Fan, Zhi Li et al.
Land
Environmental Impact and Sustainability
article

Recontextualizing Telecouplings in Electricity-Driven Land Use Flows via Global Supply Chains

Chaohui Li, M. Gill, Ying Fan, Zhi Li, G.Q. Chen, Mengyao Han, Xiao Li, Yihong Liu
article en

Abstract

The global energy transition is expected to require three to twenty times more land areas than fossil fuel-based power generation, making the availability of suitable land for the global energy transition a key challenge. Based on different types of energy resources, this study designs a telecoupling multi-regional input–output (MRIO) model to analyze cross-border electricity-driven embodied land appropriation patterns. The results show that the land footprint associated with renewable energy is substantially lower than that associated with conventional power generation. However, the growth rate of this footprint is 2.18 times higher than that of conventional electricity generation. China and Germany are identified as key export markets for wind- and solar- driven embodied land. The share of electricity-driven embodied land from China to the United States, Japan, and Germany declined, whereas the embodied land flowing to countries including South Korea, India, and Singapore increased. Embodied land-exporting nations face trilemma issues related to environmental degradation chain reactions, resource consumption threshold lines, and social distribution tensions, which may significantly affect decarbonization progresses. By integrating renewable power infrastructures and land use occupation, this analytical framework is expected to advance the understanding of energy–land nexus dynamics, providing theoretical foundations for cross-system governance in the implementation of carbon neutrality.

LandVol. 14(11)
Chinese Academy of Sciences (CN), Peking University (CN), Research Center for Eco-Environmental Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Potsdam Institute for Climate Impact Research (DE)
National Office for Philosophy and Social Sciences
Openalex Percentile: Top 71%
Environmental Impact and Sustainability
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