Choice of the optimal distribution of crop areas in the agro-industrial sector based on the Markovitz model
Автор: Hercekovich D.A., Podlinyaev O.L., Larin S.N.
Журнал: Экономика и бизнес: теория и практика @economyandbusiness
Статья в выпуске: 9-1 (67), 2020 года.
Бесплатный доступ
In the last few years the agro-industrial sector of the Russian economics shows stable growth rates. It was immeasurably contributed by the implementation by Russia of the food import ban in reply to sanction restrictions of leading Western countries and of its allies. With that the agro-industrial complex itself undergoes pivotal structural transformations, oriented to the increase of the efficiency of its functioning. Mentioned circumstances predetermined the high topicality of this research subject. The article represents the terms of reference for the best distribution of crop areas. To solve such a task was used the Markovitz model, based on basic provisions of the portfolio analysis. The task has been solved while takig into account the agriculture specifics in the territory of Russia. Were provided results of the analysis of the effective distribution of crop areas for the growing of agricultural crops on the example of one and several sites. With that at the federal level as entities of the Russian Federation - area and/or region. At the regional level this term will be relevant at the distribution of crop areas at the level of districts. Within a district the comparative analysis of the efficiency of the use of crop areas is expedient for categories of agricultural enterprises.
Agro-industrial complex, crop area distribution, optimal choice, portfolio investment theory, markowitz model
Короткий адрес: https://sciup.org/170190094
IDR: 170190094 | DOI: 10.24411/2411-0450-2020-10702
Список литературы Choice of the optimal distribution of crop areas in the agro-industrial sector based on the Markovitz model
- Лебо Ч., Лукас Д.В. Компьютерный анализ фьючерсных рынков: Пер. с англ. - М.: Издательский Дом "АЛЬПИНА", 1998. - 304 с.
- Элдер А. Как фиксировать прибыль, ограничивать убытки и выигрывать от падения цен. Продажа и игра на понижение. - М.: Издательский Дом "АЛЬПИНА", 2018. - 352 с.
- Эдлер А. Как играть и выигрывать на бирже. Психология. Технический анализ. Контроль над капиталом. - М.: Издательский Дом "АЛЬПИНА", 2019. - 472 с.
- Дрейпер Н., Смит Г. Прикладной регрессионный анализ. - М.: Диалектика, 2017. - 912 с.
- Себер Дж. Линейный регрессионный анализ. - М.: Мир, 1980. - 456 с.