R. Tulchinsky. The methodic approach to impact assessment state and regional policy to the state regional modernization in conditions of new regionalism.

Abstract

The article proposes the improvement of the methodical approach to assessing the impact of the state regional policy on the regions’ modernization in the conditions of a new regionalism formation. The proposed methodological approach to assessing the impact of state regional policy on the modernization of spatial economic systems in the conditions of a new regionalism formation consists of seven stages, namely: theoretical and conceptual substantiation of the methodological approach; justification of partial evaluation indicators; standardization of partial indicators; finding of weight coefficients of standardized indicators; calculation of the integral index of socio-economic development of regions; calculation of the complex integral index of the module of functions of a new regionalism formation; assessing the influence of the functions of a new regionalism formation on the socio-economic development of the regions. The scientific novelty of this article is that, in contrast to the existing methodological approaches, in order to assess the impact of the state regional policy on the regions’ modernization in the conditions of a new regionalism formation, the use of the L.S. Pontryagin’s principle of maximum. The justification for using the L.S. Pontryagin’s principle of maximum is that: firstly, most of the optimization methods consider target functions without ascertaining the influence of the control functions of processes that in one way or another affect the solution of the task. The L.S. Pontryagin’s principle of maximum, on the contrary, allows you to perform optimization of the target function, and to find optimal functions for managing the process, in our case, the process of a new regionalism formation, which accompany this target function in the input problem; and secondly, the L.S. Pontryagin’s principle of maximum allows to abandon complex methods of solving this problem; thirdly, the L.S. Pontryagin’s principle of maximum provides proof of the method of dynamic programming on the linear approximation of optimal controls.