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Econometric Modeling of Electricity Consumption by Households as a Tool for the Calculating of the Social Consumption Norm

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  • Zaytseva, Yu. V.

Abstract

Since July 2016, it is planned to introduce electricity tariffs with the social consumption norm in all regions of Russia. The methodology for calculation the electricity social consumption norm for different types of households was legally adopted by resolutions of the Government of the Russian Federation. According to these regulations, at least 70 % of the actual volume of electric power supply to the population should fall within the social norm. This article analyzes the validity of the methodology for calculating the social norm. The research is based on the data about the consumption of electricity by Russian households. The purpose of this study is to construct an econometric model of electricity consumption and calculate model- based social norms for different types of households. Explanatory variables in the model are the factors that describe the household size and accommodation conditions: the number of residents, the presence or absence of electric cooker, the type of settlement (urban or rural), the climate of the region where the household lives. The simulation results show that 70 % of electricity will be consumed within the social norms, if the size of the norm for households consisting of one person, will be from 110 to 210 kW·h, depending on the accommodation conditions. The author also evaluates the necessary social norm increments for the second, third and subsequent members of different household types. The developed model takes into account the regional characteristics of energy consumption and can be useful for calculating the social norm of electricity consumption in the regions of Russian Federation.

Suggested Citation

  • Zaytseva, Yu. V., 2016. "Econometric Modeling of Electricity Consumption by Households as a Tool for the Calculating of the Social Consumption Norm," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 2(2), pages 259-269.
    • Handle: RePEc:aiy:journl:v:2:y:2016:i:2:p:259-269
    DOI: 10.15826/recon.2016.2.2.023
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    References listed on IDEAS

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    1. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    2. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    3. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    4. Rodney Maddock & Elkin Castano, 1991. "The Welfare Impact of Rising Block Pricing: Electricity in Colombia," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 65-78.
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    Cited by:

    1. Tumanyants, Karen (Туманянц, Карэн), 2020. "Income Residential Demand Elasticities for Electricity: Do We Need to Differentiate the Tariff? [Эластичность Спроса Населения На Электроэнергию По Доходам: Нужно Ли Диверсифицировать Тариф?]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 110-137, August.

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