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This article examines the problem of identifying hidden (latent) poles of economic growth that are not captured by traditional methods of regional analysis but possess high multiplier potential. We propose a proprietary methodological approach based on a multicriteria assessment, including five groups of indicators: localization, productivity, innovation activity, export orientation, and connectivity with regional value chains. Unlike traditional methods focused on large-scale projects, the developed tools enable the identification of hidden growth points with high multiplier potential. Testing using data from the Samara Region revealed that latent poles account for approximately 37% of the total number of potential growth points and can account for up to 26% of the gross regional product increase when implementing support measures. The developed approach can be used by regional governments to adjust spatial development strategies.
growth poles, regional competitiveness, latent growth points, multicriteria analysis, identification, multiplier effect, regional economy
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