No abstract

The automated toolkit for assessing environmental and investment attractiveness of a mining region and the results of its application are discussed in the article. This toolkit includes the optimization mathematical model, the algorithms for the interaction between a regional control center and a producer within the territory, as well as the automated software package for their analysis. The use of the optimization mathematical model makes it possible to take into account the maximum economic potential of a producer, which determines, respectively, a mining region’s environment pollution potential. Accounting for environmental risks will allow the control center or other decision makers to identify not only the optimal pattern of eco-economic interaction in the region, but also reflect changes in the environmental and investment climate as a combination of economic potential and involved risks. The model and the algorithms of interaction between a regional control center and a producer, as well as the results of their numerical analysis given in this paper, allow considering this toolkit as an effective decision support tool aimed at improving environmental and investment attractiveness of a mining region by encouraging a producer to use the best available technologies and conserve the natural environment.

No abstract

The article is devoted to the description of the problem statement and the construction of a mathematical model for assessing the economic efficiency of a territorial-production cluster as a complex socio-economic system. Some model approaches to solving this problem are considered, and their brief analysis is carried out. The mathematical model of the cluster is based on the optimization approach and is a multi-criteria linear programming problem, the main idea of which is to identify the economic potential of the cluster. Knowledge of the maximum investment and production capabilities of the cluster structure will make it possible to make managerial decisions that motivate economic agents to participate in the cluster, to use market mechanisms for introducing innovations in specific production sectors or areas of economic activity of the territories, and will also focus on identifying the optimal volumes and proportions of investment, production and financial costs, taking into account marketing, transaction, innovation, infrastructural, environmental, financial and other aspects of the functioning of the cluster. The paper substantiates the existence of a solution to the problem corresponding to the presented mathematical model, which makes it possible to use effective numerical methods for its analysis and develop systems to support the adoption of investment, production and financial decisions regarding the choice of optimal investment volumes, production of products by cluster enterprises, and methods of financing its activities.