Research output: Contribution to journal › Article › peer-review
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.Research output: Contribution to journal › Article › peer-review
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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