EVALUATION OF INNOVATIVE CAPACITY OF MUNICIPALITIES IN THE TOMSK REGION
The relevance of the proposed study is due to the need to measure innovative capacity of municipalities in the conditions of the territory formation of advanced social and economic development in the Tomsk region. The conceptual scientific problem is the lack of updated methodological foundations necessary for the assessment of innovative capacity at the municipal level. The aim of the work is to adapt the available methodological tools for assessing innovative capacity of municipalities in the Tomsk region. The authors used the method of the correlation-regression analysis and a rating method. The factors determining innovative capacity of the region are analyzed; specialization of the innovation subsystem of the regional center is considered. The correlation-regression analysis of innovative capacity of several municipalities is carried out; a rating assessment of the level of their innovative capacity is presented, a conclusion is made on the degree of their differentiation.
Keywords: innovative capacity, municipal formation, Tomsk region, correlation-regression analysis, rating evaluation.
Highlights:
the study carried out a correlation-regression analysis of innovative capacity of several municipalities in the Tomsk Region, which allows determining the level of influence of factors on the result of innovation activity, expressed in the use of innovative potential;
a rating assessment of the level of innovative capacity of the studied municipalities is presented on the basis of the calculation of the integral indicator;
the degree of differentiation in the levels of innovative capacity of the studied municipalities is revealed.
Irina V. Volchkova, Candidate of Economics, Associate Professor, Tomsk State Architectural and Construction University; Ekaterina S. Vorobyeva, Candidate of Economics, Associate Professor, Seversk Technological Institute – a branch of the federal state autonomous educational institution of higher professional education “National Research Nuclear University” MEPhI”. E-mail: Esvorobyeva@mephi.ru; Irina V. Votyakova, Doctor of Economics, Professor, Seversk Technological Institute - a branch of the federal state autonomous educational institution of higher professional education “National Research Nuclear University “MEPhI”; Olga P. Nedospasova, Doctor of Economics, Professor, Tomsk National Research Polytechnic University. E-mail: olgaeconomy@mail.ru.