A quantile approach to assess the effectiveness of the subsidy policy for energy-efficient home appliances: Evidence from Rizhao, China
- Author
- YAO, Xi-Long1 ; YANG LIU2 3 ; XIAO YAN4
[1] College of Economics and Management, Taiyuan University of Technology, Taiyuan 030024, China
[2] School of Management, Harbin Institute of Technology, Harbin 150001, China
[3] Department of Economics, Ecole Polytechnique, Paris 91128, France
[4] College of Economics and Management, China University of Geosciences, Wuhan 430074, China - Source
Energy policy. 2014, Vol 73, pp 512-518, 7 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
- Energy-saving subsidy policy Quantile regression Residential electricity consumption
- Keyword (en)
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01A Methodology. Modelling
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01B Energy policy
- 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
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28733851
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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DOI
10.1016/j.enpol.2014.06.010 
https://dx.doi.org/10.1016/j.enpol.2014.06.010
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