Received:
2018-12-10 | Accepted:
2019-04-10 | Published:
2019-06-30
Title
A model for estimating social and economic indicators of sustainable development
Abstract
There was developed a methodological approach for carrying out an integrated estimation of the sustainable development socio-economic parameters based on the UN's current information base. The article proposes a methodology and tools for economic and mathematical modelling to estimate the degree of international trade and investment relations development, the degree of life expectancy, the standard of living and prosperity of international entities under the influence of sources of economic growth. Based on the simulation results an analysis of the general status of the 189 world countries according to the sources of economic growth has been carried out. In order to obtain scientifically grounded results, the paper used general scientific and special methods of research, such as: methods of analysis and synthesis, system approach and abstraction, modelling (fuzzy logic model, a method of Saati hierarchies, Mamdani algorithm), quantitative and qualitative comparison methods, a method of theoretical generalization. The approach proposed in this article can be applied when developing the country's national economic development strategy in the direction of achieving sustainable development.
Keywords
fuzzy analysis, economic development, sustainable development, social fragmentation, economic growth, living standards and prosperity of international entities
JEL classifications
C61
, F43
, O11
URI
http://jssidoi.org/jesi/article/324
DOI
Pages
1839-1860
Funding
The research was conducted with the support of The London Academy of Science and Business (London, England), Institute for International Cooperation Development (Poznań, Poland), and Ministry of Education and Science of Ukraine within the framework of the research project No. 0116U005387 "Information and communication ensuring of socio-economic development in the globalization context."
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
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