Modeling the influence of startup ecosystem components: Entrepreneurial aspect

Defining the basis for development of a country’s start-up ecosystems as activating entrepreneurship is an urgent task restoring economy. The purpose this study to identify ways improve ecosystem based on construction economic and mathematical models business activities. research methodology statistical methods, namely dynamics analysis; assess strength influence each component change in position rating, regression correlation analysis was chosen, which allows identifying factors final indicator. components were investigated, means interactive interdependent set institutions whose activities create environment qualitative quantitative growth start-ups subjects innovative development. use methods data countries, grouped into 5 clusters, allowed determining absolute changes values Global Start-up Ecosystem Index rating indicators from Blink: change, component, environment, general summary. Based regression-correlation analysis, economicmathematical built, describe positions section four demonstrating: strong connection between result (Clusters 2, 4). Weak countries Clusters 3, 5, indicates dependence other that are not considered their description affect 5. practical value paper results can serve local state authorities form strategies develop at national regional level