Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/18454
Title: Factor model of expert opinions on risks assessment for territorial development
Authors: Baklanova, O. A.
Бакланова, О. А.
Lazareva, N. V.
Лазарева, Н. В.
Keywords: Factor model;Territorial development;Risk assessment
Issue Date: 2022
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Belikova, I., Ivashova, V., Baklanova, O., Lazareva, N., Semenova, L. Factor model of expert opinions on risks assessment for territorial development // Lecture Notes in Networks and Systems. - 2022. - Том 246. - Стр.: 861 - 869. - DOI10.1007/978-3-030-81619-3_96
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: Based on the results of an expert survey, the article presents a factor model of the socio-economic challenges of rural areas in the views of heads and chief specialists of enterprises in the agrarian sector of the economy in the South of Russia. The expert survey was conducted in October–November 2020 using a questionnaire in Google Form and processed in SPSS Statistics (version 21). In the process of filling out the questionnaire, the experts assessed the significance in the list of 23 problems on a 5-point scale. The factor model makes it possible to comprehensively analyze the problem field of rural areas with the identification of possible latent factors of influence on their development. In the course of the study, 7 factors were established: a decrease in overall return (positive effects) from investments in agricultural production; financial insecurity of sustainable development of agricultural production; loss of agricultural products due to logistic inconsistencies; insufficient participation of the state in the regulation of agricultural production; limiting the development of the agricultural sector due to the specifics of production processes; human resources of the agricultural sector as a special area of responsibility of the state; lack of technologies for the production of agricultural products that do not destroy (do not worsen) the environment.
URI: http://hdl.handle.net/20.500.12258/18454
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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