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Data for: An AIC-based Approach to Identify the Most Influential Variables in Eco-efficiency Evaluation

Name: Data for: An AIC-based Approach to Identify the Most Influential Variables in Eco-efficiency Evaluation
Creator: wang, L (via Mendeley Data)
Keywords: Energy Efficiency, Eco-Efficiency, 11. Sustainability, Other, Interdisciplinary sciences

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020Embargo end date: 31 Aug 2020Publisher:Mendeley

Authors: wang, L (via Mendeley Data);

doi: 10.17632/ykp29r4vdd.1 , 10.17632/ykp29r4vdd

Data for: An AIC-based Approach to Identify the Most Influential Variables in Eco-efficiency Evaluation

- Summary
- Subjects
- Metrics

Abstract

This dataset contains data from 30 China provinces' industrial systems at the year of 2012 for eco-efficiency evaluation.

Keywords

Energy Efficiency, Eco-Efficiency, Other, Interdisciplinary sciences

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

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SDGs Suggest

11. Sustainability

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SDGs:

11. Sustainability,

Related to Research communities

SDSN Greece