2020
DOI: 10.1016/j.promfg.2020.02.152
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Territorial Differentiation as the Factor of Sustainable Economic Development

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Cited by 8 publications
(3 citation statements)
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“…[6] Manuel Castells [14] defines that frames are primarily neural networks of associations which can become available using language in combination with metaphors. A research study by Glinskiy et al [3][4][5] showed that neural network organization of frames makes it possible to overcome the lack of available input information and make correct assessment of the possible conditions of economic systems in the future.…”
Section: Core Methodology For Constructing An «Environmental Barometer»mentioning
confidence: 99%
“…[6] Manuel Castells [14] defines that frames are primarily neural networks of associations which can become available using language in combination with metaphors. A research study by Glinskiy et al [3][4][5] showed that neural network organization of frames makes it possible to overcome the lack of available input information and make correct assessment of the possible conditions of economic systems in the future.…”
Section: Core Methodology For Constructing An «Environmental Barometer»mentioning
confidence: 99%
“…They state that inequality may be both constructive and destructive from the perspective of economic effectiveness (Kim, 2008;Schwab, 2017). Economic inequality in a country stimulates the development of poorer groups of the population and facilitates the sustainability of economic development (Glinskiy, 2020); however, that stimulating effect of economic inequality can only be observed to a certain point (Glinskiy et al, 2017).…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…They have shown substitute properties in relation to traditional production factors. The most ambitious innovative role of ICT manifested itself as infrastructure (Dyatlov et al, 2018;Glinskiy et al, 2020), when its previous form did not meet the requirements of limiting physical interaction in the population to prevent the spread of coronavirus.…”
Section: Introductionmentioning
confidence: 99%