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Characteristics of residential energy consumption in China: Findings from a household survey : Current Energy Issues in China

Author
XINYE ZHENG1 ; CHU WEI1 ; PING QIN1 ; JIN GUO1 ; YIHUA YU1 ; FENG SONG1 ; ZHANMING CHEN1
[1] Department of Energy Economics, School of Economics, Renmin University, Beijing, China
Source

Energy policy. 2014, Vol 75, pp 126-135, 10 p ; ref : 1/4 p

CODEN
ENPYAC
ISSN
0301-4215
Scientific domain
Energy; Environment
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
China Energy consumption Household survey
Keyword (en)
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01C Economic data / 001D06A01C1 General

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01C Economic data / 001D06A01C2 Fossil fuels and derived products

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01C Economic data / 001D06A01C4 Electric energy

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D08 Heating, air conditioning and ventilation / 001D06D08C Space heating. Hot water / 001D06D08C1 General. Economical aspects

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
29034479

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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