Abstract
Purpose: purpose of the scientific article is assessment of social and ecological and economic efficiency of an environmental system development on the example of railway transport. This purpose suggests the following objectives implementation: 1) to identify social and economic components of the environmental system on the basis of the developed model and to describe their features; 2) to develop assessment indicators of managerial decision effect and efficiency on the basis of the identified components of the environmental system; 3) to develop indicators of environmental and economic assessment of the effect and effectiveness of management decisions based on identified components of the system; 4) to suggest an algorithm for implementation environmentally safe and cost-effective management decisions based on the developed assessment indicators.Methods: methodological base of the research is based on the following scientific methods: mathematical modeling, statistical analysis method, formalization.Results: the authors develop the simulation game model which allows identifying social and economic components of environmental system and to develop ecological and economic indicators of efficiency assessment on the basis of previous periods. Upon the model the authors of the article have developed the algorithm of efficient social oriented managerial decisions-making.Conclusions and Relevance: the developed game model allows assessing development efficiency of social and economic environmental system. In the development of the model the authors apply the concept of games with nature, also criterions of maximax, Laplace, Wald, Hurwitz. In addition, the model allows identifying components which influence managerial decisions, namely, environmental damages before and after implementation of a managerial decision, capital and operational costs indicators. On the basis of it the indicator and the criterion of managerial decisions risk-adjusted ecological and economic effect and efficiency assessment indicators have been developed. The algorithm of implementation of the environmentally friendly, socially oriented and cost-effective management decisions.