Methodical Aspects of Sustainable Development Assessment of Krasnoyarsk Region
- 10.2991/aebmr.k.200423.032How to use a DOI?
- monitoring, sustainable development, cluster model, institutional changes, method TOPSIS, digital economy, big data, Krasnoyarsk region
The problems of sustainable development are becoming currently more and more important. In this context, the determining factor for making effective management decisions by governing institutions depends on the choice of assessment methods, particular indicators for analyzing stability conditions, as well as ways of collecting trustworthy information and data-processing procedures. This paper is aimed at analyzing available approaches and tools for monitoring regional development, building internal methodological and methodic basis for assessment the sustainability of regions in order to solve socio-economic problems. Not only that, but consideration of institutional development of territories and the effects of trans-regional interaction and inter-disciplinarity should become the main conceptual and methodological prerequisite emblematic of the proposed approach. There is no consensus among modern scholars on the theoretical aspects of the assessment of sustainable development, as well as on the use of the information base, and on methodological issues of the monitoring procedure, especially in the context of the cluster approach. The paper analyses current methods for assessing the sustainable development of systems at various levels - national and regional economies, territories, industries, enterprises, products. The determinants of institutional development at the regional level have been analyzed. For assessing and forecasting sustainable development, the authors suggest using a modified TOPSIS method that takes into account the multiplicative effects of implementing a cluster development model. At the same time, the main problem of using methods for assessing socio-economic and sustainable development, as well as institutional environment and its changes is the limitation of the available data. Use of digital technologies and big data is regarded as a solution to this problem.
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Irina Sergeevna Ferova AU - Ekaterina Nikolaevna Tanenkova AU - Elena Valerevna Lobkova AU - Svetlana Aleksandrovna Kozlova PY - 2020 DA - 2020/04/24 TI - Methodical Aspects of Sustainable Development Assessment of Krasnoyarsk Region BT - Proceedings of the III International Scientific and Practical Conference "Digital Economy and Finances" (ISPC-DEF 2020) PB - Atlantis Press SP - 146 EP - 150 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200423.032 DO - 10.2991/aebmr.k.200423.032 ID - Ferova2020 ER -