Parameters of the strategy for managing the economic growth of agricultural production in Russia
Marina Anokhina
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Marina Anokhina: Department of Organizational and Managerial Innovations, Plekhanov Russian University of Economics, Moscow, Russian Federation
Agricultural Economics, 2020, vol. 66, issue 3, 140-148
Abstract:
Agricultural economic growth requires management due to poor structurization. The study aimed to determine the parameters of the management strategy for the economic growth of agriculture in Russia. The research methodology relies on cognitive technologies of modelling the strategic alternatives of the economic development of the industrial complex using fuzzy cognitive logic. Static and dynamic analysis of the fuzzy cognitive maps on structural and dynamic indicators of agricultural economic growth in Russia allowed the forecast of the industry trends, influenced by various management factors. The option of an integrated management strategy for the economic growth of agriculture in Russia is proposed together with strategic maps, justified as a tool for its implementation. The created strategic alternative will allow the Russian agricultural and industrial complex to use the existing agricultural potential to achieve the target growth indicators and ensure sustainability.
Keywords: cognitive modelling; economic growth; fuzzy cognitive maps; strategic alternatives; strategic maps (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlage:v:66:y:2020:i:3:id:255-2019-agricecon
DOI: 10.17221/255/2019-AGRICECON
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