Method for assessing regional indicators of sustainable development industry and innovation

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The article presents a method developed by the authors for assessing regional indicators of sustainable development in the field of industry and innovation. The proposed method is based on the understanding of sustainability from the standpoint of Sustainable Development, as laid down in the UN concept. The authors’ method includes a structural model of decomposition of the corresponding national indicators and an algorithm for assessing the integral indicator of sustainable development of a region in the field of industry and innovation (SDind(9)). The structural model of decomposition of national indicators of sustainable development has been developed in the context of the existing system of state regional statistics. The estimation of the integral indicator SDind(9) is implemented using an intelligent procedure of fuzzy inference. The SDind(9) integral indicator serves the purpose of comparative characteristics of regions (in the studied population) according to criteria that are important for achieving the goal of the country's industrial and innovative development and are fixed in the system of national indicators of sustainable development. A comparative assessment allows to form reasonable judgments about the best practices of regional management in the field of industrial and innovative development and the possibilities of their scaling in similar regions of the Russian Federation.

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Regional economy, sustainable development, resilience, stability, industry, regional policy, innovation policy, industrial policy, fuzzy-set modeling, regional statistics

Короткий адрес: https://sciup.org/147236461

IDR: 147236461   |   DOI: 10.14529/em210406

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