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Estimating Elasticity for Residential Electricity Demand in China
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 fo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific World Journal
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446645/ https://www.ncbi.nlm.nih.gov/pubmed/22997492 http://dx.doi.org/10.1100/2012/395629 |
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author | Shi, G. Zheng, X. Song, F. |
author_facet | Shi, G. Zheng, X. Song, F. |
author_sort | Shi, G. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3446645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Scientific World Journal |
record_format | MEDLINE/PubMed |
spelling | pubmed-34466452012-09-20 Estimating Elasticity for Residential Electricity Demand in China Shi, G. Zheng, X. Song, F. ScientificWorldJournal Research Article 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. The Scientific World Journal 2012-09-10 /pmc/articles/PMC3446645/ /pubmed/22997492 http://dx.doi.org/10.1100/2012/395629 Text en Copyright © 2012 G. Shi et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Shi, G. Zheng, X. Song, F. Estimating Elasticity for Residential Electricity Demand in China |
title | Estimating Elasticity for Residential Electricity Demand in China |
title_full | Estimating Elasticity for Residential Electricity Demand in China |
title_fullStr | Estimating Elasticity for Residential Electricity Demand in China |
title_full_unstemmed | Estimating Elasticity for Residential Electricity Demand in China |
title_short | Estimating Elasticity for Residential Electricity Demand in China |
title_sort | estimating elasticity for residential electricity demand in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446645/ https://www.ncbi.nlm.nih.gov/pubmed/22997492 http://dx.doi.org/10.1100/2012/395629 |
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