Modeling of Sustainable Regional Development in the Context of Transformational Shifts: Methodological Aspects

The article deals with regional characteristics that should be considered in the modeling of regional socio-economic systems. It is proved that the methodological basis for constructing a model of continuous socio-economic development of the region is based on a comprehensive study of preventive diagnosis and systematic approach. In the simulation, sustainable development of the region in terms of transformation of the national economy changes proposed to use an econometric approach and identify its benefits. An algorithm for the simulation of sustainable regional development, making it possible to build a hybrid integrated model of socio-economic development of the region. It is shown that the region as an object of modeling is characterized by such features as: a) a high level of uncertainty of input information: internal and external; b) studied the economic complex of the region has a complex structure, which can be identified as structural elements of the human resources, industrial complex and non-productive sphere, the environment, land, financial resources, international economic activity, the structure of regional management, etc .; c) a regional economic system can be represented as deliberate system with a variety of tasks and the development of the concept of achieving them. The socio-economic component of sustainable development in the region performs a dual role: 1) all-round development of the individual, which are the prerequisites for achieving a certain standard of living (material aspect), a set of forms and types of human activity; 2) a specific method of meeting the needs of the region's population in social services infrastructure. Normal living conditions in many ways to provide for the amount of material, social and cultural needs while using the benefits and services of social infrastructure in the region. The degree of satisfaction of those needs can be displayed corresponding system performance.