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Song_et_al_2020_ERSS_DATASET

Research datakeyboard_double_arrow_right Dataset 23 Sep 2019 English Publisher:ZenodoFunded by:EC | TRANSrisk, EC | PARIS REINFORCE

Authors: Song, Lei; Lieu, Jenny; Nikas, Alexandros; Arsenopoulos, Apostolos; Vasileiou, George; Doukas, Haris;

doi: 10.5281/zenodo.4088568 , 10.5281/zenodo.4088569

Song_et_al_2020_ERSS_DATASET

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

This dataset contains the underlying data for the following publication: Song, L., Lieu, J., Nikas, A., Arsenopoulos, A., Vasileiou, G., & Doukas, H. (2020). Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment. Energy Research & Social Science, 59, 101306., https://doi.org/10.1016/j.erss.2019.101306. Full details of methods used to create the dataset and provided within this publication.

Related Organizations

ETH Zurich
Switzerland
China Executive Leadership Academy Pudong
China (People's Republic of)
National Technical University of Athens
Greece
China Executive Leadership Academy Pudong
China (People's Republic of)

Keywords

MACE-DSS, ESQAPE, FCM, MCDA

1 Research products, page 1 of 1

Contested energy futures, conflicted rewards? Examining low-carbon transition risks and governance dynamics in China's built environment
2020IsSupplementTo

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average