КФУ. Карточка публикации. Does digitalization reduce electricity consumption? Evidence from spatial analysis

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DOES DIGITALIZATION REDUCE ELECTRICITY CONSUMPTION? EVIDENCE FROM SPATIAL ANALYSIS

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2021

Язык

английский

Авторы, сотрудники КФУ

Варламова Юлия Андреевна, автор

Колесникова Юлия Сергеевна, автор

Ларионова Наталия Ивановна, автор

Библиографическое описание на языке оригинала

Larionova N, Varlamova J, Kolesnikova J., Does digitalization reduce electricity consumption? Evidence from spatial analysis//International Journal of Energy Economics and Policy. - 2021. - Vol.11, Is.2. - P.413-419.

Аннотация

This survey addresses the issue of assessing and identifying the role of digital transformation in electrical energy consumption. It is shown that spatial effects in the level of electricity consumption among Russian regions are significant. The work is based on regional data for 2010-2018. Research methods: construction of the Moran and Geary indices, estimation of spatial regression panel models with fixed effects. The Implementation of digital technologies in Russia is at the initial stage, so their impact on energy consumption is ambiguous. The model with a spatial autoregressive lag revealed that the change (increase or decrease) of the electricity consumption level in the one region entails a change of energy consumption in other regions. Since the results indicate the importance of the spatial factor in electricity consumption, the government can implement a differentiated regional policy aimed at improving the efficiency of energy use in certain regions.

Ключевые слова

Spatial panel data models, electricity consumption, digital transformation, energy saving, Russian regions

Название журнала

International Journal of Energy Economics and Policy

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100376058&doi=10.32479%2fijeep.10500&partnerID=40&md5=0ee331440237b7ddb444b5fd79ff9a63

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https://repository.kpfu.ru/?p_id=249738

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Варламова Юлия Андреевна	ru_RU
dc.contributor.author	Колесникова Юлия Сергеевна	ru_RU
dc.contributor.author	Ларионова Наталия Ивановна	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Larionova N, Varlamova J, Kolesnikova J., Does digitalization reduce electricity consumption? Evidence from spatial analysis//International Journal of Energy Economics and Policy. - 2021. - Vol.11, Is.2. - P.413-419.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=249738	ru_RU
dc.description.abstract	International Journal of Energy Economics and Policy	ru_RU
dc.description.abstract	This survey addresses the issue of assessing and identifying the role of digital transformation in electrical energy consumption. It is shown that spatial effects in the level of electricity consumption among Russian regions are significant. The work is based on regional data for 2010-2018. Research methods: construction of the Moran and Geary indices, estimation of spatial regression panel models with fixed effects. The Implementation of digital technologies in Russia is at the initial stage, so their impact on energy consumption is ambiguous. The model with a spatial autoregressive lag revealed that the change (increase or decrease) of the electricity consumption level in the one region entails a change of energy consumption in other regions. Since the results indicate the importance of the spatial factor in electricity consumption, the government can implement a differentiated regional policy aimed at improving the efficiency of energy use in certain regions.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Spatial panel data models	ru_RU
dc.subject	electricity consumption	ru_RU
dc.subject	digital transformation	ru_RU
dc.subject	energy saving	ru_RU
dc.subject	Russian regions	ru_RU
dc.title	Does digitalization reduce electricity consumption? Evidence from spatial analysis	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU