The article represents the results of research devoted to the problem of demand for labour force projection. The two main priorities of Russian economic development — modernization and innovation — are declared as the factors influencing labour market in a rather intrinsic and specific way. The research of dependence between GDP growth rate per occupied in the most developed countries is conducted and shows the positive influence the innovation process imposes on the demand for labour force. The particular problem is proved to be semi-structured. The selforganisation approach to this problem is proposed and helps to detect that the main shaping process of labour market dynamics is industry modernization. The trend of modernization influence on demand for labour force is revealed and taken under consideration while developing the mathematical model, enabling to predict the demand for labour force with not more than 2% mean absolute percentage error.

The subject of the research is the processes of Russian knowledge economy development, its progress on the regional level is taken as a theme, which determined the purpose of research: development of the regional knowledge economy development indicative planning method conceptual model. The methodological base of the research is the knowledge economy concept and supply and demand theory, the methods of comparative and system analysis and theoretical modeling; common generalization and classification methods and regression models are used in the work. As a result, we managed to create the regional knowledge economy development indicative planning method conceptual model, which includes the choice of the types of indicative plans and the justification for the complex of indicators according to the stated requirements to this complex. The model of supply and demand for knowledge dependency from the knowledge cost, allowing to determine the acceptable range for the indicators proceeding from the demand and supply levels and their interrelation, is developed. The obtained results may be used by the regional government authorities while planning the regional innovative development and consulting companies while making the proposals for this development.