The article proves that industrial enterprises develop most quickly and qualitatively in the presence of modern infrastructure, contributing to reduce time and labor costs. In turn, it is inexpedient to build infrastructure facilities on territories where there are no large industrial companies and their functioning is not expected. Actual examples of interdependent development of industry and the infrastructure sector are given (on the example of the transport sector) and a demonstrative correlation-regression model is constructed.
PEST can be regarded as a high-quality analog of a quantitative mathematical model used, for example, in the budgeting process. Calculations presume a variation of some variables within the model, including the expert one. Such variation is inevitable since any model only to some extent is similar to the simulated system and the “observer’s” expert position is important. At the entrance of the mathematical model there are figures defined with some accuracy, at the output there are also figures, expertly substantiated and simulated. PEST represents a “semantic model” containing basic “event trees”. At the entrance to this model there are events that “happened”. At the output — their development forecast, if “this” has happened, “this and that” will certainly happen and with some probability “or this, or that”. The forecast presumes the work of an expert who subjects the event to a modeling framework of PEST-analysis. With events development in reality it becomes possible to compare two semantic networks, one of which is referred to “forecasted”, and the other — to “happened” events structure. An expert, and in some simple cases even a computer program, can either attribute a happened event to one of the scenario branches existing in the forecast or to come out with a suggestion on the emergence of a new branch, or, finally, to conclude that the given event is an imitation, that is, has a “non-physical character”. The latter is very important, but needs verification by subsequent events. Thus, the proposed PEST-analysis in the context of “world — country — region” is some semantic “model”, forming “forecasted” semantic trees and networks, allowing to classify operational event-series (“extract meaning”) and to forecast their further development from the strategic perspective point of view. This method seems relevant from the perspective of realization (and automation) of the problem of continuous dynamic strategic management, which is extremely important while the world system is passing ugh the “bifurcation point”.
This year, more than 100 social sphere facilities and objects of housing and communal services are under capital construction on the territory of the Volgograd region. For this purpose 4.6 billion rubles were provided in the regional budget. It should be noted that the regiondid notbuild social objectsat such a pace and with such large-scale funding for a long time. People’s confidence can be gained only through real actions.
Overcoming the crisis effects and economic globalization pose before society and government the question on ways of modernization, on strategy of Russia’s development for the next decade.