Factors of scientific, technical and human capacity of regions: search for functional relationship
Автор: Fedotov A.A.
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Экономические науки
Статья в выпуске: 7-1 (46), 2020 года.
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The article provides an analysis of various approaches to measuring the scientific and technical potential of regions and highlights the main factors with which it can be quantitatively described using the data of official statistics for the regions. Eight such indicators were selected that describe two groups of factors of the scientific and technical potential of the regions: reflecting the resource component of the region and characterizing the results of the innovative activity of the region. The definition of human potential, its difference from related categories of quality of life and labor potential is given. The structure of human potential is analyzed, its various aspects are highlighted: physical, intellectual, cultural, spiritual. Based on the data of the official statistics of the socio-economic development of the regions of Russia, 6 indicators were selected that characterize various aspects of human potential. A study of correlations between the selected and prepared indicators of the scientific and technical potential of the regions, indicators of human potential and some indicators of the quality of life, reflecting the level of well-being of the population and the degree of socio-economic inequality, was carried out. The results of the study revealed a positive correlation between all positive factors of socio-economic development and all selected indicators of the scientific and technical potential of the regions, as well as a negative relationship with most negative factors. The results of the study allowed us to make a number of hypotheses about the fundamental interactions between the studied indicators.
Human potential, quality of life, scientific and technical potential, region, correlation
Короткий адрес: https://sciup.org/170190835
IDR: 170190835 | DOI: 10.24411/2500-1000-2020-10872