Research Data Leeds Repository
Datasets for exploring the socio-macroeconomic impacts of buildings decarbonisation including efficiency and rebound effects
Citation
Nieto, Jaime, Brockway, Paul E., Johnson, Elliott and Barrett, John (2026) Datasets for exploring the socio-macroeconomic impacts of buildings decarbonisation including efficiency and rebound effects. University of Leeds. [Dataset] https://doi.org/10.5518/1892
Dataset description
This file contains the following MARCO-UK model input and output data used in the following paper: Nieto, J., Brockway, Johnson, E.., and Barrett J. (2026) “Exploring the socio-macroeconomic impacts of buildings decarbonisation including efficiency and rebound effects.” Applied Energy, 425, 128391. Available at https://doi.org/10.1016/j.apenergy.2026.128391
| Additional information: | All sources are listed on the Data Sources tab. The file Data repository_fv.xlsx was updated with a revised version Data repository_fv2.xlsx on 4/9/2026 Change Log: previous _fv file did not have the final scenario results, to match the published paper results. updated _fv2 file include very minor changes in all scenarios (by 2050, the deviation in GDP across scenarios is between 0-1%) except Transform 2a. (which reaches around 10-12% GDP deviation by 2050 vs earlier _fv1 file). Thus, the deviation overall is quite minor, except in Transform 2a has some values with relatively high deviation. | ||||
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| Keywords: | Energy rebound effects, Buildings decarbonisation, Ecological macroeconomics, Low energy demand, Exergy economics, Energy efficiency | ||||
| Subjects: | H000 - Engineering > H200 - Civil engineering > H220 - Environmental engineering > H221 - Energy resources L000 - Social studies > L100 - Economics L000 - Social studies > L100 - Economics > L130 - Macroeconomics L000 - Social studies > L100 - Economics > L140 - Econometrics |
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| Divisions: | Faculty of Environment > School of Earth and Environment | ||||
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| License: | Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | ||||
| Date deposited: | 11 Aug 2026 13:47 | ||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1586 | ||||



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readme [2kB] 