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Based on the description of interconnections between large number of economic, ecological and social/institutional factors, their transformation to the unified computational platform the mathematical model, named “Sustainable Development Gauging Matrix” was developed. This model is a large scale matrix compression. All interdisciplinary data, which are included in the model are measured by means of different physical values, have different interpretations and are changing over different ranges. That is why they were reduced to normalized form in such a way that the changes are in the range from 0 to 1. In this case the worst values of the mentioned data are close to 0, and the best values are those approaching 1. Thus, this interdisciplinary model combines data of various natures and reflects the balance between three inseparable spheres of the society – economic, ecological and social/institutional.

The list of most essential global threats to the future of mankind has been selected. These global threats are: Energy Security; Footprint and Biocapacity Balance; GINI – Inequality; Global Diseases; CM - Child Mortality; Corruption Perception; Water Access; Global Warming; State Fragility; ND - Natural Disasters. Initial data on each threat are taken from the respectable International organizations data bases.

Then we have defined the summarized impact of the totality of examined ten global threats on different countries grounded on cluster analysis method with the purpose of selecting groups of the countries with "close" performances of summarized threats.

On the basis of usage of Minkovsky type metric the foresight of the future global conflicting has been executed. To facilitate the analysis and make it easier we use the method of Principal Component Analysis (PCA) which allows reduce variables with many properties to several hidden factors. Analysis shows that currently the most considerable threats for most countries are the reduction of energy security, worsening of balance between bio capacity and human demands and the growth of corruption.

The created mathematical model allows to develop recommendations regarding the ways of improving the standards of quality and safety of life in particular countries and regions of the world by the global computer simulation of sustainable development process.