The features of analysis of efficiency of implementation technological innovations in agriculture

Abstract

Introduction. The innovation activity in the agrarian sector has its specific features, insofar as implementation of some innovations may cause the negative consequences in the economic, social, and environment spheres, therefore, they shall be assessed by a degree of danger. Problem Statement. It is difficult to predict and to measure the possible consequences of innovation, since there is no standard (procedure) for assessing innovation risks in agriculture. Therefore, the improvement of methodology for assessing the effectiveness of implementing innovations in the agrarian sectors remains important. In addition, methods for analysis of efficiency of innovation implementation, which summarize the positive and negative consequences in different aspects of agricultural activity, need to be further improved. Purpose. To develop a concept of the comprehensive assessment of the effectiveness of implementation of technological innovation in the agricultural sector. Materials and Methods. Abstract, logical, comparative analysis, monographic method, expert assessments. To analyze the effectiveness of innovations, the system of indicators has been proposed. It has been formed using the methods of decomposition, analysis and synthesis. While selecting indicators, a content-analysis of scholarly research literature has been applied. Results. A concept for the comprehensive assessment of expediency of implementation of technological innovations based on integral indicator of efficiency of innovations has been proposed. It takes into account possible influence of innovation on the technologic, economic, and environment characteristics of different agricultural sectors. Its application enables making decision on expediency of implementation of a certain kind of innovation. Conclusions. This approach provides comprehensive assessment, simplicity of calculations, saving of time, and minimization of subjectivity of expert evaluation.