SHS Web Conf.
Volume 62, 201917th International Scientific Conference “Problems of Enterprise Development: Theory and Practice” 2018
|Number of page(s)||5|
|Section||Problems of the Methodology of Statistical Research of Business Processes|
|Published online||15 March 2019|
Methodology of Complex Evaluation of Sustainable Development of Socio-Environmental-Economic Systems
Samara State University of Economics, Samara, Russia
* Corresponding author: firstname.lastname@example.org
This feasibility study proposes a new approach to the classification of data array concerning sustainable development of socio-environmental-economic systems (hereinafter referred to as SEES) in the area of large river basins. The developed methodology allows carrying out the integrated assessment and forecasting the principal results of the territorial entities functioning and is based on the socio-environmental-economic conditions and the use of multidimensional comparative analysis of the development of individual territories, which, in its turn, allows considering the regional characteristics of their development. The aim of the study is to determine the conceptual and methodological foundations of integrated assessment of SEES sustainable development in the area of a large river basin. The methods of logical analysis (deduction), non-parametric statistical multidimensional estimation (PATTERN method) and econometric modeling were used in this work. The novelty of the proposed approaches consists in the development of theoretical and methodological guidelines for further improvement of the mechanism of integrated assessment of SEES formation, forecasting its development and sustainable functioning at the regional level. The obtained results allow to rank the territories according to integrated assessment, as well as to develop regional strategic programs.
Key words: ecology / integrated assessment / factors / region / sustainable development.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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