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Electricity demand response to price changes: The Portuguese case taking into account income differences

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  • Silva, Susana
  • Soares, Isabel
  • Pinho, Carlos

Abstract

In this paper we study the behavior of electricity use in Portuguese households using microdata from five independent surveys. Our sample covers the period from 1989 to 2010, which was characterized by major changes in the country. We adopt the pseudo-panel methodology creating 350 cohorts based on the size of the household, the type of location (rural or urban), the region, and the income quintile. Our results show relatively high medium/long-run own price elasticities indicating that an increase in the electricity price due to, for instance, policy intervention would, in fact, decrease electricity use. Cross price elasticities indicate that electricity and gas are substitutes. Additionally, the income quintiles analysis shows significant differences in the elasticities depending on the income group. Hence, political interventions in the electricity sector may have important redistributive effects.

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  • Silva, Susana & Soares, Isabel & Pinho, Carlos, 2017. "Electricity demand response to price changes: The Portuguese case taking into account income differences," Energy Economics, Elsevier, vol. 65(C), pages 335-342.
  • Handle: RePEc:eee:eneeco:v:65:y:2017:i:c:p:335-342
    DOI: 10.1016/j.eneco.2017.05.018
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    7. Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
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    More about this item

    Keywords

    Household electricity use; Price elasticities; Income elasticities; Income quintiles; Pseudo-panel methodology;
    All these keywords.

    JEL classification:

    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

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