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Analysis of the spatial features of regional power consumption in the Russian Federation

Author

Listed:
  • Petrov, Mikhail

    (Institute of Economics of the Ural Branch of RAS, Ekaterinburg, Russian Federation)

  • Serkov, Leonid

    (Institute of Economics of the Ural Branch of RAS, Ekaterinburg, Russian Federation)

  • Kozhov, Konstantin

    (Institute of Economics of the Ural Branch of RAS, Ekaterinburg, Russian Federation)

Abstract

The article analyzes the features of interregional power consumption within the framework of spatial econometrics. Using the Moran's method, it is shown that the level of electricity consumption in a certain region is positively correlated with the level of electricity consumption in neighboring regions. To assess the energy-economic factors providing this positive impact, spatial autoregression models have been built. Of all the models analyzed, the most appropriate is the one with the spatial lag of the dependent variable (SAR model). From the assessment of the marginal effects (direct, indirect and general), it was concluded that the regional distribution of electricity consumption is largely explained by the processes taking place within the region than in neighboring regions. A model with an extended specification that takes into account the presence and interaction of price and non-price zones is analyzed. The results obtained indicate that the spatial relationships between the regions of the price zone differ from the relationships between the regions of the non-price zone.

Suggested Citation

  • Petrov, Mikhail & Serkov, Leonid & Kozhov, Konstantin, 2021. "Analysis of the spatial features of regional power consumption in the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 5-27.
    • Handle: RePEc:ris:apltrx:0412
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    References listed on IDEAS

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    More about this item

    Keywords

    region; power consumption; interregional connections; spatial autocorrelation; spatial development; Morans method;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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