PREDICTIVE MODELS CONSTRUCTION FOR THE DEVELOPMENT OF THE AGRICULTURE EXPORT POTENTIAL IN THE VLADIMIR REGION

Research article
DOI:
https://doi.org/10.23649/jae.2022.1.21.5
Issue: № 1 (21), 2022
Published:
11.04.2022
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Abstract

The work is aimed at solving the urgent problem of researching the peculiarities of building predictive models of indicators of foreign economic activity of the region in the direction of agricultural sector development. The aim of the work is to study the aggregated indices of foreign economic activity efficiency evaluation for the construction of predictive models of target indicators of foreign economic activity of the region. The distinctive feature of the considered indices is the possibility to take into account exogenous factors when building a forecasting model, as well as to assess the potential for complication of the region's export basket. The article shows an example of calculating the index of economic complexity and the index of product complexity for the agricultural sector of the Vladimir region. The development of a new methodology for forecasting indicators of foreign economic activity, based on the provisions indicated in this work, will eliminate the existing problems in the practical use of existing forecasting techniques, taking into account external factors, allowing to identify the causes and directions of variability of foreign trade relations of the region in the industry of agriculture.

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References

  • Kislyakov A.N. Development of Predictive Models of Socio–Economic Systems Based on Decision Trees with Multivariate Response / A.N. Kislyakov, N.M. Filimonova, N.Yu. Omarova // Advances in Economics, Business and Management Research (AEBMR). Proceedings of International Scientific and Practical Conference “Russia 2020 – a new reality: economy and society”. – 2021 –. p. 198–203.

  • Kislyakov A. Principles for Development of Predictive Stability Models of Social and Economic Systems on the basis of DTW / A. Kislyakov, N. Tikhonuyk // First Conference on Sustainable Development: Industrial Future of Territories (IFT 2020), – 2020 – vol. 208, no 08001. – DOI 10.1051/e3sconf/202020808002

  • Мастицкий С. Э. Анализ временных рядов с помощью R [Электронный ресурс] / C. Э Мастицкий – 2020 – URL: https://ranalytics.github.io/tsa–with–r/ (дата обращения: 24.02.2021).

  • Кисляков А.Н. Графовая кластеризация поведенческой активности пользователей продукта с учетом информационной асимметрии / А.Н. Кисляков // Известия Юго–западного государственного университета. серия: экономика. социология. менеджмент. – 2020. – №3 – С. 152–163.

  • Федеральная таможенная служба РФ: офиц. сайт [Электронный ресурс] // Таможенная статистика внешней торговли РФ – 2021. – URL: http://stat.customs.ru (дата обращения: 21.06.2021)

  • Hidalgo C.A. The building blocks of economic complexity / C.A. Hidalgo, R. Hausmann // Proceedings of the National Academy of Sciences. – 2009. –№ 106(26). – pp. 10570–10575.

  • Hausmann R. The Atlas of Economic Complexity: Mapping Paths to Prosperity / R. Hausmann, C. Hidalgo, S. Bustos et al. – Cambridge: Center for International Development, Harvard University – MIT. – 2011. – pp. 108–358.

  • Любимов И.Л. Сложность экономики и возможность диверсификации экспорта в российских регионах / И.Л. Любимов, М.А. Гвоздева, М.В. Казакова и др. // Журнал Новой экономической ассоциации. – 2017. – № 2 (34). – С. 94–122

  • Моисеев А.К. Применение индекса экономической сложности в макрофинансовых моделях / А.К. Моисеев, П.А. Бондаренко // Проблемы прогнозирования. – 2020. – № 3 – С.101–112.

  • Руус Й. Анализ экономической сложности Калининградской области — выбор отраслевых приоритетов в новой парадигме создания ценности / Й. Руус, К.Ю. Волошенко, Т.Е. Дрок и др. // Балтийский регион. – 2020. – Т. 12, № 1. –С. 156—180. – DOI 10.5922/2079–8555–2020–1–9.

  • Кисляков А.Н. Асимметрия информации в задачах анализа социально–экономических процессов / А.Н. Кисляков // Вестник НГУЭУ. – 2020. – №1– С.64–75. – DOI 10.34020/2073–6495–2020–1–064–075