Special significance must be given to the ability of such systems to anthropogenic changes, as opposed to being artificially kept intact without natural evolution. The main tasks are: preserving equal opportunities in use of natural resources for today’s and future generations, achieving an even-handed distribution of material and social benefits among nations and people, granting targeted help to poor countries and parts of society, develop a fair cost assessment of the influence of industrial technology and manufacturing on the environment, providing proper and efficient legacy and economical systems for supporting waste-free and environmentally efficient technologies in industry and agriculture, etc.
Numerous works were done to propose a model for achieving composite indexes to track incorporated information on social, economic and environmental dimensions of SD. Those models were proposed to be used to assess and make prognoses on the development and support proper decision making, finding ways to measure and predict sustainability with regard to its spatial and temporal dimensions. However it is very important not only to assess and forecast sustainability using a big variety of quantitative data, but also to affect the determinants of development and facilitate achieving of sustainable development.
Usual approach is related with characterizing of the progress of societies and countries according to generation and use of new knowledge for ensuring their development. This approach considers the harmonized scientific knowledge as a main “driving force” of the progress and operates with quality and safety of life of citizens.