IMPACT OF THE INFORMATION SOCIETY ON SUSTAINABLE DEVELOPMENT : GLOBAL AND REGIONAL ASPECTS

The concept of sustainable ecological-social-economic development is considered proceeding from the condition of obligatory coordination of economic, ecological, and human dimensions in such a way that from one generation to the other, the quality and safety of life should not decrease, the environmental conditions should not worsen, and social progress should meet the needs of every person. An approach of system coordination and balancing of these three constituents is suggested.

The problem that forms the subject of this study is based on the concept of sustainable development.This concept has become a continuation of the theory of noosphere formulated by the Russian academician Vladimir Vernadsky (1922) and French mathematician Edward Le Roy (1927).The noosphere may be seen as the "sphere of human thought" derived from the Greek word ("nous") meaning "mind" in the same manner as the terms "atmosphere" and "biosphere."In the original theory of Vernadsky, the noosphere is the third in a succession of phases of the Earth's evolution, after the geosphere (inanimate matter) and the biosphere (biological life).Therefore, the noosphere is the modern stage of the development of the biosphere connected with the emergence of the human being as an active factor that is beginning to greatly influence the further geological evolution of the planet.
The essence of the concept of sustainable development (fig. 1) is system coordination of economic, ecological, and human development in such a way that the quality and safety of life should not decrease from one generation to another.The environmental conditions should not worsen, and the social progress should meet the needs of every person.

Figure 1. Global dimensions of sustainable development
In terms of the main criterion: "No decrease of quality and safety of human life" the question arises -how does the level of the information society development, as one of the products of human activities, influence sustainable development on the global and regional scale?To answer this question, first of all, it is necessary to introduce some measurement systems (metrics) for the sustainable development and information society.
The sustainable development measurement has been worked out by the introduction of the corresponding index (Isd) in (Fig. 2).This index is determined by three dimensions: economic (Iec), ecological (Ie), and social (Is).In its turn, each of the indices (Iec), (Ie), (Is) is calculated by six global indices widely used in the international practice (Table 1).On the basis of compositions of different indicators and datasets for these three dimensions, a mathematical model as a system of linear algebraic equations (Fig. 3) was developed for calculation of the sustainable development index (Isd).All data, indicators, and indices that are included in the model (Fig. 3) are measured in different units and have various interpretations.Consequently, they are reduced to the normal form in such a way that their changes, and the changes of the indices themselves, are in the range from 0 to 1.In this case the lowest values of the above indicators will correspond to the numerical values close to 0, and the highest will approximate these values to 1.Such normalization allows calculation of each of the indices Iec, Ie, Is, and Isd in the form of an averaged sum of its constituents with the corresponding weighting coefficients.In their turn, the weighting coefficients used in the calculation of the sustainable development index (Isd) are chosen in such a way that allows the same weights of economic, ecological, and social measures in this index.As a result, according to the mathematical model, the sustainable development index (Isd) is calculated for 48 countries (Table 2)  3).

Ecological
Proceeding from the mathematical analysis (Fig. 3), we see that 48 indicators and 188 datasets are used to calculate the sustainable development index.14 indicators and datasets directly characterize the content of the information society (Table 3).

Qc=0.25
They are included into the index of knowledge society (Iks) and the growth competitiveness index (Ic).Taking into account the weighting coefficients of the above indicators and datasets in the indices (Iks) and (Ic), the impact of the information society on sustainable development can be estimated by the mathematical model (Fig. 4), where Fis is an impact factor of the information society on sustainable development; Qks and Qc are summarized weighting coefficients of indicators and datasets characterizing the information society and are included in the indices (Iks) and (Ic), respectively.
To determine the dependence of the sustainable development index (Isd) on the impact factor of the information society (Fis) in the global context, calculations were made by using the model of sustainable development (Fig. 3) and the system of estimating the impact factor (Fis) of the information society on sustainable development (Fig. 4).
The ranking of 46 countries by the impact factor of the information society on sustainable development is given in Table 4. From a regional prospective, the dependencies are given in Table 5 for a group of the leading countries referred to as SMART societies in accordance with the sustainable development index.For G8 countries, these dependences are given in Table 6.Thus, the developed mathematical models or metrics allow carrying out a variety of research with the purpose of revealing a measure of influence of different factors on sustainable development.
In Table 8, for example, the average values of the impact factor Fis for all 46 countries, and for groups of G8, SMARTcountries, and the former socialist countries are presented.We see that the influence of the information society on sustainable development is the most essential for G8.For SMART countries this influence is somewhat weaker, while for the former socialist countries it is even less.The correlation between the impact factor Fis and sustainable development index is the greatest for the former socialist countries.For G8 members and for SMART countries, it is lower.The former socialist countries, on the other hand, demonstrate the highest development rates of the information society despite their current low positions, unlike the G8 members and other SMART countries.Besides the character of the development of the information society in the former socialist countries mostly corresponds to the character of sustainable development.
The correlation of the corruption perception index and the index of sustainable development is presented in column 4 of Table 8, for comparison.We see that this correlation is the highest for the former socialist countries, at a lower level for G8, and at much lower for SMART countries, respectively.

CONCLUSIONS
1.A new sustainable development system (metric) was worked out.This metric allows the obtaining of quantitative estimations of the sustainable development process depending on the groups of economic, ecological, and social indicators and datasets.
2. The impact of the information society on sustainable development was studied on the global and regional scale based on the sustainable development mathematical model.3.This newly created tool allows development of recommendations regarding ways to improve the standards of life quality and safety in specific countries and regions of the world by the advance of the information society and competitive growth parameters.

Figure 3 .
Figure 3. Estimation of the information society's impact on sustainable development (Model 2)