Statistical Analysis of Interrelation between Innovation Development and Quality of Life

Student: Aleksandrova Elena

Faculty: School of Statistics, Data Analysis and Demography

Educational Programme: Bachelor

Year of Graduation: 2014

<p>This paper is devoted to comprehensive study of the relationship between innovation, R&D and ICT development and quality of life in the case of Russia. The main objectives are to evaluate the socio-economic effect of innovation, R&D and ICT activity and analyze innovative consumption of people.  Today improving quality of life is the ultimate goal of any individual effort and socio-economic policy and it cannot be achieved without transition to the innovation model of economic growth. This study may be useful for revision of current and future innovation policy. In the first part of the study it is presented the major approaches for measuring quality оf life and indicators of innovation activity. The second part is related to the construction of integral index of QoL using principal component analysis for all regions. It is based on accumulating 40 statistical characteristics of people’s life into 5 main categories. Generalized characteristics of innovation and technological development were built the same way. In the final part the regression model with dummy variables, representing clusters by innovation and technological development, is presented. Also the regression equations characterize the interconnection between the analyzed processes. Finally, it is classified the groups of people by their innovative consumption. The main information source is the data, published by FSSS, and the 21st round of the Russian Longitudinal Monitoring Survey – HSE (RLMS-HSE). As a result, less innovative regions have more socio-economic benefit from the R&D progress than more innovative regions – the effect of R&D development for the last regions is less significant.  Secondly, the quality of people’s life increases with the rapid development of the Internet and e-government. Finally, young people, working in intellectual job, are more open for innovations than less educated middle-aged people, who do not participate in any innovative practices.</p>

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