“BRAINSTORM” OF SUSTAINABLE DEVELOPMENT INDEXES AND INDICATORS (ON THE EXAMPLE OF THE VOLGA BASIN)

Aim of the research – development of management strategies ensuring sustainable development of the territories of the Volga river basin and its administrative units.

Methods. In the research we used various methods of mathematical statistics, systematic principles. We propose the conception of "brainstorming" for the assessment of the territory using indices and indicators of sustainable development.

Results. We selected nine indicators and indices. We have conducted a correlation analysis of the selected indices and indicators of sustainable development, all of which reflect the state of social, ecological and economic systems. For an integrated assessment of the two objects one introduced the "critical" and the "reference" state and fixed values for each index and indicator under the review. Factor analysis in the space of two principal components is conducted as well as one carried out the calculation of generalized desirability function for each administrative unit of the Volga river basin. "Brainstorm", taking into consideration indices and indicators of sustainable development, showed similarities in the administrative units of the Volga river basin, which primarily reflects approximately the same socio-ecological-economic development, defined by a single policy and economic decisions.

Conclusion. The analysis revealed different management strategies of sustainable development of regions. The first group (strategy A) includes the Republic of Tatarstan, and Chuvashia, Moscow and Samara regions, which should pay special attention to investments in improving the "life quality" by stabilizing and reducing the degree of anthropogenic load on the territory. The second group (strategy B): Astrakhan, Volgograd, Kirov, Tver and Kostroma and Perm regions - it is advisable to do finance and investment of resources in public education, increase the average lifetime, increase the incomes of the population. For the remaining areas optimally use a mixed strategy A + B for sustainable development.

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