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Estimating Elasticity for Residential Electricity Demand in China
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-10
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Residential demand for electricity is estimated for China using a unique household level dataset.
Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level.
We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is significant potential to use the price instrument to conserve electricity consumption.
Electricity elasticities across different heterogeneous household groups (e.g., rich versus poor and rural versus urban) are also estimated.
The results show that the high income group is more price elastic than the low income group, while rural families are more price elastic than urban families.
These results have important policy implications for designing an increasing block tariff.
American Psychological Association (APA)
Shi, G.& Zheng, X.& Song, F.. 2012. Estimating Elasticity for Residential Electricity Demand in China. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-468771
Modern Language Association (MLA)
Shi, G.…[et al.]. Estimating Elasticity for Residential Electricity Demand in China. The Scientific World Journal No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-468771
American Medical Association (AMA)
Shi, G.& Zheng, X.& Song, F.. Estimating Elasticity for Residential Electricity Demand in China. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-468771
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468771