Using clustering to predict the effectiveness of innovative environmental protection technologies

Abstract

The article examines the role of innovations in the development of the national economy. The dynamics of budgetary financing of strategic priorities of innovation and technology transfer activities in Ukraine for 2019-2021 is analyzed. The priorities, the support of which is increasing annually, and the priorities where funding is decreasing, are identified. It is proposed to carry out a predictive assessment of innovative projects using the clustering procedure. The implementation of the proposal is highlighted on the example of innovative developments in the strategic priority area "Widespread use of cleaner production technologies and environmental protection". A point system for expert evaluation of the planned scientific results of the innovation and the scientific potential of the performers is shown. The indicators that have the greatest impact on the forecast efficiency are identified. The results of clustering of innovative developments according to certain indicators are presented. The statistical indicators of average scores in each cluster are analyzed. Significant differences between the clusters have been determined using the non-parametric Mann-Whitney test. The carried out clustering provides reasonable recommendations on the feasibility of financing an innovative project based on predictive expert assessments.