Research output: Contribution to journal › Article › peer-review
Input-output table regionalization and multiregional input-output model development algorithm. / Ershov, Yurii S.; Ibragimov, Naimdzhon M.; Dushenin, Aleksandr I.
In: Journal of Siberian Federal University - Humanities and Social Sciences, Vol. 14, No. 7, 8, 2021, p. 1018-1027.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Input-output table regionalization and multiregional input-output model development algorithm
AU - Ershov, Yurii S.
AU - Ibragimov, Naimdzhon M.
AU - Dushenin, Aleksandr I.
N1 - Funding Information: The article was prepared in accordance with the Research Plan of the IEIE SB RAS, Project 5.6.6.4. (0260-2021-0007). ?Tools, technologies and results of analysis, modelling and forecasting of the spatial development of the socioeconomic system of Russia and its specific territories?. Publisher Copyright: © Siberian Federal University. All rights reserved
PY - 2021
Y1 - 2021
N2 - The main problems of constructing multiregional input-output (IO) models used for the development of spatial and sectoral long-term national economy forecasts are caused by the absence of proper statistics. Therefore, it is necessary to make up the input-output tables (IOTs) based on a limited set of direct and indirect indicators that measure spatial patterns of production, consumption, capital formation, etc., sufficiently accurate for filling up multiregional IO models. The paper discusses Russian IOT spatial mapping problems and proposes an approach to partial automation of the procedures necessary for regional IOT construction (by federal districts). The regionalization was carried out using a static IO model with the bounding sum control. As a result, a set of consistent regional tables for 2015 was developed, with the eight IOT sum equalling Russia's IOT. Based on the estimated regional IOTs, a static multiregional input-output model (OMIOM) across federal districts for 2015 was made up. The model allows us to proceed to the follow-up phase, i. e., developing a semi-dynamic model for long-term national economic projection computations.
AB - The main problems of constructing multiregional input-output (IO) models used for the development of spatial and sectoral long-term national economy forecasts are caused by the absence of proper statistics. Therefore, it is necessary to make up the input-output tables (IOTs) based on a limited set of direct and indirect indicators that measure spatial patterns of production, consumption, capital formation, etc., sufficiently accurate for filling up multiregional IO models. The paper discusses Russian IOT spatial mapping problems and proposes an approach to partial automation of the procedures necessary for regional IOT construction (by federal districts). The regionalization was carried out using a static IO model with the bounding sum control. As a result, a set of consistent regional tables for 2015 was developed, with the eight IOT sum equalling Russia's IOT. Based on the estimated regional IOTs, a static multiregional input-output model (OMIOM) across federal districts for 2015 was made up. The model allows us to proceed to the follow-up phase, i. e., developing a semi-dynamic model for long-term national economic projection computations.
KW - Federal districts
KW - Input-output table
KW - Multiregional input-output models
KW - Supply
KW - Types of economic activities
KW - Use tables
UR - http://www.scopus.com/inward/record.url?scp=85112002218&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=46379643
U2 - 10.17516/1997-1370-0781
DO - 10.17516/1997-1370-0781
M3 - Article
AN - SCOPUS:85112002218
VL - 14
SP - 1018
EP - 1027
JO - Journal of Siberian Federal University - Humanities and Social Sciences
JF - Journal of Siberian Federal University - Humanities and Social Sciences
SN - 1997-1370
IS - 7
M1 - 8
ER -
ID: 34148301