Recontextualizing Telecouplings in Electricity-Driven Land Use Flows via Global Supply Chains Article Swipe
Xiao Li
,
Chaohui Li
,
M. Gill
,
Mengyao Han
,
Yihong Liu
,
Ying Fan
,
Zhi Li
,
G.Q. Chen
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/land14112150
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/land14112150
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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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/land14112150
- https://www.mdpi.com/2073-445X/14/11/2150/pdf?version=1761666997
- OA Status
- gold
- References
- 60
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4415625781Canonical identifier for this work in OpenAlex
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Recontextualizing Telecouplings in Electricity-Driven Land Use Flows via Global Supply ChainsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-10-28Full publication date if available
- Authors
-
Xiao Li, Chaohui Li, M. Gill, Mengyao Han, Yihong Liu, Ying Fan, Zhi Li, G.Q. ChenList of authors in order
- Landing page
-
https://doi.org/10.3390/land14112150Publisher landing page
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https://www.mdpi.com/2073-445X/14/11/2150/pdf?version=1761666997Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2073-445X/14/11/2150/pdf?version=1761666997Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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60Number of works referenced by this work
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| abstract_inverted_index.power | 18, 77, 171 |
| abstract_inverted_index.share | 113 |
| abstract_inverted_index.study | 42 |
| abstract_inverted_index.three | 8 |
| abstract_inverted_index.times | 11, 88 |
| abstract_inverted_index.types | 37 |
| abstract_inverted_index.which | 162 |
| abstract_inverted_index.wind- | 106 |
| abstract_inverted_index.(MRIO) | 48 |
| abstract_inverted_index.India, | 138 |
| abstract_inverted_index.Japan, | 124 |
| abstract_inverted_index.Korea, | 137 |
| abstract_inverted_index.United | 122 |
| abstract_inverted_index.affect | 165 |
| abstract_inverted_index.carbon | 200 |
| abstract_inverted_index.driven | 109 |
| abstract_inverted_index.energy | 2, 29, 39, 68 |
| abstract_inverted_index.export | 103 |
| abstract_inverted_index.fossil | 16 |
| abstract_inverted_index.global | 1, 28 |
| abstract_inverted_index.growth | 81 |
| abstract_inverted_index.higher | 89 |
| abstract_inverted_index.issues | 147 |
| abstract_inverted_index.lines, | 157 |
| abstract_inverted_index.making | 20 |
| abstract_inverted_index.social | 159 |
| abstract_inverted_index.solar- | 108 |
| abstract_inverted_index.twenty | 10 |
| abstract_inverted_index.Germany | 98, 126 |
| abstract_inverted_index.States, | 123 |
| abstract_inverted_index.advance | 183 |
| abstract_inverted_index.analyze | 51 |
| abstract_inverted_index.designs | 43 |
| abstract_inverted_index.flowing | 132 |
| abstract_inverted_index.markets | 104 |
| abstract_inverted_index.nations | 144 |
| abstract_inverted_index.related | 148 |
| abstract_inverted_index.require | 7 |
| abstract_inverted_index.results | 59 |
| abstract_inverted_index.whereas | 128 |
| abstract_inverted_index.Embodied | 142 |
| abstract_inverted_index.However, | 79 |
| abstract_inverted_index.embodied | 54, 110, 116, 130 |
| abstract_inverted_index.expected | 5, 181 |
| abstract_inverted_index.resource | 154 |
| abstract_inverted_index.suitable | 24 |
| abstract_inverted_index.trilemma | 146 |
| abstract_inverted_index.Singapore | 140 |
| abstract_inverted_index.countries | 134 |
| abstract_inverted_index.declined, | 127 |
| abstract_inverted_index.different | 36 |
| abstract_inverted_index.dynamics, | 189 |
| abstract_inverted_index.footprint | 64, 85 |
| abstract_inverted_index.framework | 179 |
| abstract_inverted_index.including | 135 |
| abstract_inverted_index.patterns. | 57 |
| abstract_inverted_index.providing | 190 |
| abstract_inverted_index.renewable | 67, 170 |
| abstract_inverted_index.tensions, | 161 |
| abstract_inverted_index.threshold | 156 |
| abstract_inverted_index.analytical | 178 |
| abstract_inverted_index.associated | 65, 74 |
| abstract_inverted_index.challenge. | 33 |
| abstract_inverted_index.fuel-based | 17 |
| abstract_inverted_index.governance | 195 |
| abstract_inverted_index.identified | 100 |
| abstract_inverted_index.increased. | 141 |
| abstract_inverted_index.reactions, | 153 |
| abstract_inverted_index.resources, | 40 |
| abstract_inverted_index.transition | 3, 30 |
| abstract_inverted_index.consumption | 155 |
| abstract_inverted_index.degradation | 151 |
| abstract_inverted_index.electricity | 94 |
| abstract_inverted_index.foundations | 192 |
| abstract_inverted_index.generation, | 19 |
| abstract_inverted_index.generation. | 78, 95 |
| abstract_inverted_index.integrating | 169 |
| abstract_inverted_index.neutrality. | 201 |
| abstract_inverted_index.occupation, | 176 |
| abstract_inverted_index.progresses. | 167 |
| abstract_inverted_index.theoretical | 191 |
| abstract_inverted_index.availability | 22 |
| abstract_inverted_index.conventional | 76, 93 |
| abstract_inverted_index.cross-border | 52 |
| abstract_inverted_index.cross-system | 194 |
| abstract_inverted_index.distribution | 160 |
| abstract_inverted_index.telecoupling | 45 |
| abstract_inverted_index.appropriation | 56 |
| abstract_inverted_index.energy–land | 187 |
| abstract_inverted_index.environmental | 150 |
| abstract_inverted_index.significantly | 164 |
| abstract_inverted_index.substantially | 70 |
| abstract_inverted_index.understanding | 185 |
| abstract_inverted_index.implementation | 198 |
| abstract_inverted_index.input–output | 47 |
| abstract_inverted_index.land-exporting | 143 |
| abstract_inverted_index.multi-regional | 46 |
| abstract_inverted_index.decarbonization | 166 |
| abstract_inverted_index.infrastructures | 172 |
| abstract_inverted_index.electricity-driven | 53, 115 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5083258836 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210160793, https://openalex.org/I4210165038 |
| citation_normalized_percentile |