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Zhou, S., & Teng, F. (2013). Estimation of Urban Residential Electricity Demand in China Using Household Survey Data. Energy Policy, 61, 394-402.
https://doi.org/10.1016/j.enpol.2013.06.092

has been cited by the following article:

• TITLE: Socio-Economic Determinants of Household Electricity Demand in Pointe-Noire, Congo-Brazzaville

  AUTHORS: Maxime Wenceslas Ngakosso Elenga

  KEYWORDS: Socio-Economic Determinants, Electricity Demand, Households, AIDS Model, Pointe-Noire

  JOURNAL NAME: Theoretical Economics Letters, Vol.15 No.4, August 28, 2025

  ABSTRACT: The study estimates the main drivers of household electricity demand in Pointe-Noire using household-level survey data (n = 496) and a linear approximation Almost Ideal Demand System (LA/AIDS). Explanatory variables include dwelling characteristics, appliance ownership and proxies for price and income. The model finds that electrical power subscribed, type of house, connection type, kWh consumed in the previous six months, number of rooms, electrified shower, education of the household head and ownership of a hotplate significantly affect the budget share spent on electricity. The authors conclude that policy should consider these socio-economic factors when planning electricity supply and subsidies.