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Estimation of the Spatial Connectivity of the Economic Activity of Russian Regions. / Kolomak, E. A.

In: Regional Research of Russia, Vol. 10, No. 3, 01.07.2020, p. 301-307.

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Kolomak EA. Estimation of the Spatial Connectivity of the Economic Activity of Russian Regions. Regional Research of Russia. 2020 Jul 1;10(3):301-307. doi: 10.1134/S2079970520030089

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Kolomak, E. A. / Estimation of the Spatial Connectivity of the Economic Activity of Russian Regions. In: Regional Research of Russia. 2020 ; Vol. 10, No. 3. pp. 301-307.

BibTeX

@article{df786f14e4724746bbb357b978417c8d,
title = "Estimation of the Spatial Connectivity of the Economic Activity of Russian Regions",
abstract = "The article examines change in the effects of spatial connectivity of Russian regions{\textquoteright} economic activity for 1997–2016. Quantitative estimates are obtained using spatial econometrics methods. Two specifications of the model are used: the spatial lag model and spatial error model. Relations between regions are modeled through spatial external effects, which are described in two ways: using a nearest neighbor matrix and an inverse distance matrix. The following hypotheses are tested: (1) a single macroeconomic policy and market integration stimulate growth in the spatial connectivity of economic activity; (2) Russia{\textquoteright}s western territories have closer spatial ties compared to the eastern; (3) imposition of sanctions against Russia stimulated the formation of new and strengthened existing internal ties, as well as the country{\textquoteright}s spatial connectivity. Estimates have shown that there are no distinct trends in the spatial connectivity of economic activity in Russia, nor were interregional interactions affected by international sanctions. Relations important for economic activity are supported mainly with neighboring regions. The cooperation that arises between regions is not deep spatially and fades rapidly with increasing distance. This is also confirmed by the fact that for European Russia, spatial relations are a more significant development factor than for eastern regions.",
keywords = "econometric estimates, economic activity, Russian regions, spatial connectivity",
author = "Kolomak, {E. A.}",
year = "2020",
month = jul,
day = "1",
doi = "10.1134/S2079970520030089",
language = "English",
volume = "10",
pages = "301--307",
journal = "Regional Research of Russia",
issn = "2079-9705",
publisher = "Springer Science + Business Media",
number = "3",

}

RIS

TY - JOUR

T1 - Estimation of the Spatial Connectivity of the Economic Activity of Russian Regions

AU - Kolomak, E. A.

PY - 2020/7/1

Y1 - 2020/7/1

N2 - The article examines change in the effects of spatial connectivity of Russian regions’ economic activity for 1997–2016. Quantitative estimates are obtained using spatial econometrics methods. Two specifications of the model are used: the spatial lag model and spatial error model. Relations between regions are modeled through spatial external effects, which are described in two ways: using a nearest neighbor matrix and an inverse distance matrix. The following hypotheses are tested: (1) a single macroeconomic policy and market integration stimulate growth in the spatial connectivity of economic activity; (2) Russia’s western territories have closer spatial ties compared to the eastern; (3) imposition of sanctions against Russia stimulated the formation of new and strengthened existing internal ties, as well as the country’s spatial connectivity. Estimates have shown that there are no distinct trends in the spatial connectivity of economic activity in Russia, nor were interregional interactions affected by international sanctions. Relations important for economic activity are supported mainly with neighboring regions. The cooperation that arises between regions is not deep spatially and fades rapidly with increasing distance. This is also confirmed by the fact that for European Russia, spatial relations are a more significant development factor than for eastern regions.

AB - The article examines change in the effects of spatial connectivity of Russian regions’ economic activity for 1997–2016. Quantitative estimates are obtained using spatial econometrics methods. Two specifications of the model are used: the spatial lag model and spatial error model. Relations between regions are modeled through spatial external effects, which are described in two ways: using a nearest neighbor matrix and an inverse distance matrix. The following hypotheses are tested: (1) a single macroeconomic policy and market integration stimulate growth in the spatial connectivity of economic activity; (2) Russia’s western territories have closer spatial ties compared to the eastern; (3) imposition of sanctions against Russia stimulated the formation of new and strengthened existing internal ties, as well as the country’s spatial connectivity. Estimates have shown that there are no distinct trends in the spatial connectivity of economic activity in Russia, nor were interregional interactions affected by international sanctions. Relations important for economic activity are supported mainly with neighboring regions. The cooperation that arises between regions is not deep spatially and fades rapidly with increasing distance. This is also confirmed by the fact that for European Russia, spatial relations are a more significant development factor than for eastern regions.

KW - econometric estimates

KW - economic activity

KW - Russian regions

KW - spatial connectivity

UR - http://www.scopus.com/inward/record.url?scp=85093115358&partnerID=8YFLogxK

U2 - 10.1134/S2079970520030089

DO - 10.1134/S2079970520030089

M3 - Article

AN - SCOPUS:85093115358

VL - 10

SP - 301

EP - 307

JO - Regional Research of Russia

JF - Regional Research of Russia

SN - 2079-9705

IS - 3

ER -

ID: 25687440