Modern approaches to the development of a national economy are often characterized with an imbalanced inflation of some economic branches leading to a disproportional socioeconomic territories development (SETD). Such disproportions, together with other similar factors, frequently result in a lack of economic integrity, various regional crises, and a low rate of the economic and territorial growth. Those disproportions may also conduce to an inadequate degree of the interregional collaboration. This paper proposes the ways of regulating imbalances in the territorial development based upon the fiscal policy tools. The latter can immediately reduce the amplitude of economic cycle fluctuations and provide for a stable development of the economic state system. The same approach is applied to control the processes of transformation of the tax legislation and tax relations, as well as the levying and redistribution of the recollected taxes among the territories’ budgets (this approach is also known as a tax policy). To resume, this paper describes comprehensive models of financial regulation of the socioeconomic territorial development that can help in estimating and choosing the right financial policy parameters. These provide the stable rates of the growth of national economies along with a simultaneous decrease in interregional socioeconomic disproportions.
The paper presents a methodical approach to building complex models for analysis of the state’s financial security (SFS) indicators dynamics, based on such methods of multivariate data analysis as the principal component analysis, canonical correlation, level of development, vector autoregression technology, error correction model. Vector autoregressive models of the SFS indicators dynamics of Ukraine and the countries of the European Union have been developed. The interrelationships of the SFS components, short–term effects, the rate of return to the equilibrium trajectory after the impact of external "shocks" (threats) have been studied. Were selected the most sensitive to external "shocks" SFS subsystems, sources of threat occurrence. The proposed complex of models can be considered as an element of the model basis of the forecasting and analytical mechanism of the financial security provision system, which is aimed at earlier informing, detecting threats and preventing their negative impact.
The article deals with the problem of modeling the effectiveness of the development of financial decentralization mechanisms. A conceptual approach is proposed, which allows to form a complex of models. The models allow to evaluate the socio-economic effects of financial decentralization increase; to determine the "threshold" value of the level of financial decentralization, upon which slowdown in economic growth may occur. The models are based on based on the principal components' method, canonical correlations, cluster analysis, Kohonen neural networks, the level of development method, production and institutional functions. The modeling results showed that a high level of financial decentralization is inherent to countries with a high level of economic development, where high quality institutional environment and administrative decentralization lead to the increase of the efficiency of the public sector functioning. At the same time, in countries with a high level of competitiveness and socio-economic development the gap between the growth rates of income and expenditure powers of budgets of various levels and the growth rate of GDP is growing. This fact reduces the level of budget and debt security. Models of production and institutional functions have been developed, countries with a "reference" development model have been identified, as well as groups of countries that would have a higher effect from the re-centralization of government finances or financial decentralization.
In the conditions of increasing financial turbulence, permanently recurring crises, the problem of ensuring the macro-regions financial security is of particular importance. One of the directions of improving financial security systems is the development of a model basis for assessing, analyzing and forecasting the level of financial security, allowing early diagnosis of factors destabilizing the financial systems functioning and developing preventive strategies aimed at preventing financial crises and disasters. In the structure of such a model basis, models for assessing the impact of interregional interaction effects on the level of macro-regions financial security are highlighted. To build models, methods of factorial, canonical analysis, a taxonomic indicator of the level of development, methods of spatial econometrics, model of panel data were used. The models were built on the data of financial security indicators of the EU countries. The obtained results can be used by the financial stability departments to determine the most probable channels of infection by the crisis, to develop the adequate mechanisms for financial stabilization.
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