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Stylized Facts on Thailand's Residential Electricity Consumption: Evidence from the Provincial Electricity Authority

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  • Tosapol Apaitan
  • Wichsinee Wibulpolprasert

Abstract

This paper documents a few stylized facts of the residential electricity consumption in Thailand. Using an administrative billing records of 16 million residential meters, we find the following stylized facts and potential uses of the data. First, electricity consumption pattern can be used as proxies for household's wealth and wealth inequality since it reflects ownership of durable electrical appliances. Second, bill payment choices suggest that a majority of the households still face non-trivial transaction costs in paying their utility bills. Lastly, the electricity consumption pattern suggests that wealthier households are more sensitive to the temperature change but are less sensitive to the change in price.

Suggested Citation

  • Tosapol Apaitan & Wichsinee Wibulpolprasert, 2018. "Stylized Facts on Thailand's Residential Electricity Consumption: Evidence from the Provincial Electricity Authority," PIER Discussion Papers 107, Puey Ungphakorn Institute for Economic Research.
    • Handle: RePEc:pui:dpaper:107
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    References listed on IDEAS

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    1. Tatyana Deryugina & Alexander MacKay & Julian Reif, 2020. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation," American Economic Journal: Applied Economics, American Economic Association, vol. 12(1), pages 86-114, January.
    2. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    3. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
    4. Jacobson, Arne & Milman, Anita D. & Kammen, Daniel M., 2005. "Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity," Energy Policy, Elsevier, vol. 33(14), pages 1825-1832, September.
    5. Mirnezami, Seyed Reza, 2014. "Electricity inequality in Canada: Should pricing reforms eliminate subsidies to encourage efficient usage?," Utilities Policy, Elsevier, vol. 31(C), pages 36-43.
    6. Raj Chetty & John N. Friedman & Tore Olsen & Luigi Pistaferri, 2011. "Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 749-804.
    7. Henrik J. Kleven & Mazhar Waseem, 2013. "Using Notches to Uncover Optimization Frictions and Structural Elasticities: Theory and Evidence from Pakistan," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(2), pages 669-723.
    8. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    9. Lester D. Taylor, 1975. "The Demand for Electricity: A Survey," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 74-110, Spring.
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    Cited by:

    1. Cabello Eras, Juan José & Mendoza Fandiño, Jorge Mario & Sagastume Gutiérrez, Alexis & Rueda Bayona, Juan Gabriel & Sofan German, Stiven Javier, 2022. "The inequality of electricity consumption in Colombia. Projections and implications," Energy, Elsevier, vol. 249(C).

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    More about this item

    Keywords

    Electricity Consumption; Inequality; Price Elasticity; Bill Payment;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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