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Measurement of the 'Underlying Energy Efficiency' in Chinese Provinces

descriptionPublicationkeyboard_double_arrow_right Article , Research , Other literature type , Preprint 01 Jan 2013Embargo end date: 01 Jan 2013 Switzerland Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068,

Authors: Massimo Filippini; Lin Zhang;

doi: 10.2139/ssrn.2347586 , 10.3929/ethz-a-009989865

Measurement of the 'Underlying Energy Efficiency' in Chinese Provinces

- Summary
- Subjects
- Metrics

Abstract

Economics Working Paper Series, 13/183

Country

Switzerland

Related Organizations

City University of Hong Kong
China (People's Republic of)
Universita della Svizzera Italiana
Switzerland
Universita della Svizzera Italiana
Switzerland
ETH Zurich
Switzerland

Keywords

Economics, Q5, Q4, Chinese energy demand, Energy intensity, Underlying energy efficiency; Energy intensity. [Chinese energy demand; Stochastic frontier analysis], D, info:eu-repo/classification/ddc/330, Stochastic frontier analysis, Q, Chinese energy demand; Stochastic frontier analysis; Underlying energy efficiency; Energy intensity, D2, Underlying energy efficiency [Stochastic frontier analysis], Underlying energy efficiency, jel: jel:D, jel: jel:Q, jel: jel:Q4, jel: jel:Q5, jel: jel:D2, ddc: ddc:330

Impact byBIP!

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	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