This article proposes the contemporary statistical methodology for assessment of relationship between economic growth and material welfare of the Ukrainian regions in 2016 by using the method of complex statistical coefficients. The theoretical and applied aspects of opportunities of studied method for comprehensive rating assessment of Ukrainian regions through standardizing the values of examined indexes in economic and material welfare spheres are considered. Structured and logical schema of mutual influence between the spheres of economics and material welfare of a population is suggested by the author. It was found that the standard of living of a population directly generates material welfare that in turn to be a background for a quality of life. At the same time such distribution of macroeconomic definitions is a new approach enable for statistical studying of relationship between the state of economy and the sphere of material welfare of Ukrainian population. Rating assessment is calculated by available statistical data obtained from the results of state statistical observation performance. The article proclaims that statistical studying of correlation between indexes of economic sphere and indexes in the sphere of material welfare is necessary. For that purpose, it has been developed the way of assessment the degree of relationship of studied spheres based on complex weighted coefficient of variances according to the formula proposed by the author. From the results of calculations of that coefficient and according to the criteria for assessing the stability of a correlation it is justified that the gap between the levels of economic development and material welfare of a population of Ukrainian regions should be reduced. Such approach is considered to determine exact tasks for public administration policy to increase economic growth in relationship with material welfare of a population.
How to Cite
comprehensive statistical assessment of indexes, method of complex statistical coefficients, weighted coefficient of variances, ranking, economic growth, material welfare of a population, degree of relationship
 Kulynych O I, Kulynych R O 2015 Theory of statistics (7th ed.) Kyiv: Znannia
 Lewis W C 1975 Welfare and population growth: The effect of the spatial dimension The Annals of
Regional Science. Article DOI: https://doi.org/10.1007/BF01284982
 Djakons D, Kalenyuk I, Tsymbal L 2018 Management Theory and Studies for Rural Business and
Infrastructure Development 40(3) 329–36 Article DOI: https://doi.org/10.15544/mts.2018.31
 Cooke P Leydesdorff 2006 Regional development in the knowledge-based economy: the construction
of advantages Journal of Technology Transfer 31(1) 5-15
 Anghelache C 2017 Forecasting economic growth Journal „ECONOMICA” 2(100) 147-52 Moldova
 Official website of State Statistics Service of Ukraine E-source: www.ukrstat.gov.ua
 Statistical Yearbook of Ukraine. 2016 2017 State Statistics Service of Ukraine E-source: http://www.
 Regions of Ukraine. Part I: Statistical Yearbook 2017 State Statistics Service of Ukraine E-source:
 Regions of Ukraine. Part II: Statistical Yearbook 2017 State Statistics Service of Ukraine E-source:
 Population of Ukraine. 2016: Demographic yearbook 2017 State Statistics Service of Ukraine. Kyiv:
TOV “Avhust Treid”
 Household income and expenditure in 2016: Statistical Yearbook 2018 State Statistics Service of Ukraine.
Kyiv: DP “Inform.-analit. ahentstvo”
 Availability of durables in households (according to a sample household survey in October, 2016): Statistical
Yearbook 2017 State Statistics Service of Ukraine. (2017). Kyiv
 Regional human development: Statistical Bulletin 2017 State Statistics Service of Ukraine. Kyiv
 The results of monitoring of socio-economic development of Ukrainian regions in 2016 The Ministry of
Regional Development, Construction and Housing and Communal Services of Ukraine E-source: