Research output: Contribution to journal › Article › peer-review
Modeling the Fiscal Capacity of Regions. / Lavrovskii, B. L.; Goryushkina, E. A.; Shil’tsin, E. A.
In: Herald of the Russian Academy of Sciences, Vol. 92, No. 1, 02.2022, p. 25-34.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Modeling the Fiscal Capacity of Regions
AU - Lavrovskii, B. L.
AU - Goryushkina, E. A.
AU - Shil’tsin, E. A.
N1 - Publisher Copyright: © 2022, Pleiades Publishing, Ltd.
PY - 2022/2
Y1 - 2022/2
N2 - This article is dedicated to the development of a new approach to the formation of interbudgetary relations and the development and description of adequate economic and mathematical tools. This approach is focused, on the one hand, on how to get regional authorities interested in investing and, on the other, on how to economically compel them to invest in developing economic and tax potentials. The main idea of the authors is to make the growth of state and municipal services in regions rather strictly conditioned by their own income and to shatter the expectations that fiscal capacity can be improved solely through external support and interbudgetary transfers. The proposed model examines the ability of regional authorities to direct the available budgetary resources not only to provide for current expenditures but also to invest in the development of a region’s economy, that is, to increase its economic and tax potential. The model calculations are illustrated using the example of the regions of the Siberian Federal District. The significance of the first calculation results considered in this article mainly lies in the methodology; the capabilities and properties of the model apparatus used are assessed in the first place. The nature of investment behavior at the level of the Siberian Federal District as a whole and the features of the dynamics of the regional fiscal capacity variation indicator are determined, as in any other mathematical economic model, by the accepted hypotheses relative to exogenous values. Their correspondence to real values is not specifically discussed.
AB - This article is dedicated to the development of a new approach to the formation of interbudgetary relations and the development and description of adequate economic and mathematical tools. This approach is focused, on the one hand, on how to get regional authorities interested in investing and, on the other, on how to economically compel them to invest in developing economic and tax potentials. The main idea of the authors is to make the growth of state and municipal services in regions rather strictly conditioned by their own income and to shatter the expectations that fiscal capacity can be improved solely through external support and interbudgetary transfers. The proposed model examines the ability of regional authorities to direct the available budgetary resources not only to provide for current expenditures but also to invest in the development of a region’s economy, that is, to increase its economic and tax potential. The model calculations are illustrated using the example of the regions of the Siberian Federal District. The significance of the first calculation results considered in this article mainly lies in the methodology; the capabilities and properties of the model apparatus used are assessed in the first place. The nature of investment behavior at the level of the Siberian Federal District as a whole and the features of the dynamics of the regional fiscal capacity variation indicator are determined, as in any other mathematical economic model, by the accepted hypotheses relative to exogenous values. Their correspondence to real values is not specifically discussed.
KW - budget revenues
KW - interbudgetary relations
KW - investment
KW - model
KW - region
KW - regional differentiation
KW - regional fiscal capacity
KW - tax potential
KW - transfers
UR - http://www.scopus.com/inward/record.url?scp=85127242716&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/57e8e29d-bd70-380a-bc1d-1e53583c4b59/
U2 - 10.1134/S1019331622010038
DO - 10.1134/S1019331622010038
M3 - Article
AN - SCOPUS:85127242716
VL - 92
SP - 25
EP - 34
JO - Herald of the Russian Academy of Sciences
JF - Herald of the Russian Academy of Sciences
SN - 1019-3316
IS - 1
ER -
ID: 35812214