1 FORECASTING OF RESULTS OF THE STATE-LEVEL PROJECTS IMPLEMENTATION Igor Kononenko National Technical University “Kharkiv Polytechnical Institute” 61002, Kharkov, Frunze Str., 21, Ukraine E-mail: igorvkononenko@gmail.com Igor Babich National Technical University “Kharkiv Polytechnical Institute” 61002, Kharkov, Frunze Str., 21, Ukraine E-mail: babich.igor.i@gmail.com Abstract The problem of modeling the impact of the state-level projects implementation on introduction of the newest technologies is considered in this paper. To solve this problem the simulation model of scientific and technological development of economic activity types of Ukraine is developed. This model is proposed for optimization of development plans of a particular branch of industry. It is proposed to perform optimization with the help of the developed mathematical model in which the simulation model is used for estimating the values of some parameters of the mathematical model included in the objective functions and constraints. Technique for simulating the impact of the introduction of the newest technologies in the thematic direction “Energy and Energy Efficiency” on the state of Ukrainian industry is developed. Key words: simulation model, branch of industry, optimization model, simulation technique, the newest technologies. JEL Classificiation: C63 - Computational Techniques; Simulation Modeling 1. INTRODUCTION The course for the innovative development of the country’s economy chosen by the government of Ukraine makes it necessary to identify priority areas for scientific and technological development of various types of economic activity. In each priority area of scientific and technological development a certain set of new technologies can be identified. The actual problem is to simulate and forecast the impact of the implementation of state-level projects, concerning the introduction of new technologies. To solve this problem the following two approaches are now widely used: Technology Foresight (Miles, 2009) and the traditional UNIDO technique for evaluation of the economic efficiency of investments (UNIDO, 1986). Despite their widespread use to