A CORRELATION COEFFICIENTS ANALYSIS ON INNOVATIVE SUSTAINABLE DEVELOPMENT GROUPS

Ugur Turan

Abstract


The purpose of this study is to observe the evaluation of all the factors that influence sustainable development, by doing this, the author collected all the logically affecting indicators of 2000–2018 and divided them into 4 groups by affiliation which are Economic and Political, Energy and Environmental, Innovation and Entrepreneurship, Intellect and Social Capital. This paper tries to perform the correlation coefficients matrix analysis to show, how the innovative indicators on sustainable development groups interact with each other, and open by using statistical methods to new views to further studies, in addition, to make the sustainable development activities of the Ukraine's energy enterprise sector more efficient and to pioneer further initiatives.
The significance of the data was realized by using the normalization method, followed by using the Statistica mathematical program, and correlation coefficients were analyzed. At the last step, data were eliminated by applying the Cheddock scale. The data on the matrices that we built shows their noticeable significance and they are presented in this last stage of the study.
According to the results of the study, the relationship between the data in each group has a high standing, and an innovative study has emerged with a statistical perspective.
The resulting outcome demonstrates the connection of various 121 data and diversity between groups.
The contribution of this study is that the results will be developed and reveal an integrated sustainable development mechanism and economic perspective with the final stage of the author’s prospected research. This article, as a part of the author's research, plans and provides an alternative viewpoint for energy venture companies within the framework of sustainable development pillars in UNDP.

Keywords


sustainable development; energy venture companies; statistical analysis

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DOI: http://dx.doi.org/10.21303/2504-5571.2020.001130



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