Estimating Elasticity for Residential Electricity Demand in China. (10th September 2012)
- Record Type:
- Journal Article
- Title:
- Estimating Elasticity for Residential Electricity Demand in China. (10th September 2012)
- Main Title:
- Estimating Elasticity for Residential Electricity Demand in China
- Authors:
- Shi, G.
Zheng, X.
Song, F. - Other Names:
- Bin C. Academic Editor.
Han-Song T. Academic Editor.
Zhan-Ming C. Academic Editor. - Abstract:
- Abstract : 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.
- Is Part Of:
- TheScientificWorldjournal. Volume 2012(2012)
- Journal:
- TheScientificWorldjournal
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-09-10
- Subjects:
- Science -- Periodicals
Technology -- Periodicals
Medicine -- Periodicals
505 - Journal URLs:
- https://www.hindawi.com/journals/tswj/biblio/ ↗
- DOI:
- 10.1100/2012/395629 ↗
- Languages:
- English
- ISSNs:
- 2356-6140
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD Digital store
- Ingest File:
- 21951.xml