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Multipliers in the Analysis of Interregional Interactions. / Душенин, Александр Игоревич; Ибрагимов, Наимджон Мулабоевич; Ершов, Юрий Семенович.

в: Journal of Siberian Federal University - Humanities and Social Sciences, Том 16, № 9, 2023, стр. 1630-1643.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Душенин, АИ, Ибрагимов, НМ & Ершов, ЮС 2023, 'Multipliers in the Analysis of Interregional Interactions', Journal of Siberian Federal University - Humanities and Social Sciences, Том. 16, № 9, стр. 1630-1643.

APA

Душенин, А. И., Ибрагимов, Н. М., & Ершов, Ю. С. (2023). Multipliers in the Analysis of Interregional Interactions. Journal of Siberian Federal University - Humanities and Social Sciences, 16(9), 1630-1643.

Vancouver

Душенин АИ, Ибрагимов НМ, Ершов ЮС. Multipliers in the Analysis of Interregional Interactions. Journal of Siberian Federal University - Humanities and Social Sciences. 2023;16(9):1630-1643.

Author

Душенин, Александр Игоревич ; Ибрагимов, Наимджон Мулабоевич ; Ершов, Юрий Семенович. / Multipliers in the Analysis of Interregional Interactions. в: Journal of Siberian Federal University - Humanities and Social Sciences. 2023 ; Том 16, № 9. стр. 1630-1643.

BibTeX

@article{9e8f28b2e09a4d89ba8af607ae7aaf9c,
title = "Multipliers in the Analysis of Interregional Interactions",
abstract = "Institute of Economics and Industrial Engineering of the SB RAS actively uses multiregional input-output models (MRIOMs) to build long-term macroeconomic forecasts for the development of the spatial economy of the Russian Federation. In addition to the fact that static MRIOMs serve as the basis for semi-dynamic ones, they allow us to give quantitative estimates of the interactions of regions, the degree of their interdependence and complementarity. The article discusses the problems of measuring the spatial multiplier effects of economic activity. To obtain more informative estimates, we conduct a retrospective multiplicative analysis - a comparison of the state of the economy in 2007 and 2015. To calculate the multipliers, we transform the MRIOM, built in the context of eight federal districts, into a three-zone Moses-Chenery multiregional input-output model. As a result, we obtained estimates of spatial direct-effect and final-demand multipliers, on the basis of which the structures of creation and use of products by region were determined. Based on the estimates obtained, we made conclusions about the significance of the regions under study.",
author = "Душенин, {Александр Игоревич} and Ибрагимов, {Наимджон Мулабоевич} and Ершов, {Юрий Семенович}",
note = "The article was prepared within the framework of scientific project No. 23-18-00409 with the financial support of the Russian Science Foundation. Публикация для корректировки.",
year = "2023",
language = "English",
volume = "16",
pages = "1630--1643",
journal = "Journal of Siberian Federal University - Humanities and Social Sciences",
issn = "1997-1370",
publisher = "Siberian Federal University",
number = "9",

}

RIS

TY - JOUR

T1 - Multipliers in the Analysis of Interregional Interactions

AU - Душенин, Александр Игоревич

AU - Ибрагимов, Наимджон Мулабоевич

AU - Ершов, Юрий Семенович

N1 - The article was prepared within the framework of scientific project No. 23-18-00409 with the financial support of the Russian Science Foundation. Публикация для корректировки.

PY - 2023

Y1 - 2023

N2 - Institute of Economics and Industrial Engineering of the SB RAS actively uses multiregional input-output models (MRIOMs) to build long-term macroeconomic forecasts for the development of the spatial economy of the Russian Federation. In addition to the fact that static MRIOMs serve as the basis for semi-dynamic ones, they allow us to give quantitative estimates of the interactions of regions, the degree of their interdependence and complementarity. The article discusses the problems of measuring the spatial multiplier effects of economic activity. To obtain more informative estimates, we conduct a retrospective multiplicative analysis - a comparison of the state of the economy in 2007 and 2015. To calculate the multipliers, we transform the MRIOM, built in the context of eight federal districts, into a three-zone Moses-Chenery multiregional input-output model. As a result, we obtained estimates of spatial direct-effect and final-demand multipliers, on the basis of which the structures of creation and use of products by region were determined. Based on the estimates obtained, we made conclusions about the significance of the regions under study.

AB - Institute of Economics and Industrial Engineering of the SB RAS actively uses multiregional input-output models (MRIOMs) to build long-term macroeconomic forecasts for the development of the spatial economy of the Russian Federation. In addition to the fact that static MRIOMs serve as the basis for semi-dynamic ones, they allow us to give quantitative estimates of the interactions of regions, the degree of their interdependence and complementarity. The article discusses the problems of measuring the spatial multiplier effects of economic activity. To obtain more informative estimates, we conduct a retrospective multiplicative analysis - a comparison of the state of the economy in 2007 and 2015. To calculate the multipliers, we transform the MRIOM, built in the context of eight federal districts, into a three-zone Moses-Chenery multiregional input-output model. As a result, we obtained estimates of spatial direct-effect and final-demand multipliers, on the basis of which the structures of creation and use of products by region were determined. Based on the estimates obtained, we made conclusions about the significance of the regions under study.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85180066660&origin=inward&txGid=f47d105b0e417bfedc179ec325c3a630

UR - https://www.elibrary.ru/item.asp?id=54479376

M3 - Article

VL - 16

SP - 1630

EP - 1643

JO - Journal of Siberian Federal University - Humanities and Social Sciences

JF - Journal of Siberian Federal University - Humanities and Social Sciences

SN - 1997-1370

IS - 9

ER -

ID: 59773058