دورية أكاديمية

Econometric ridge regression models of risk-sensitive sunflower yield

التفاصيل البيبلوغرافية
العنوان: Econometric ridge regression models of risk-sensitive sunflower yield
المؤلفون: M.I. Slozhenkina, I.F. Gorlov, O.A. Kholodov, M.A. Kholodova, O.P. Shakhbazova, D.A. Mosolova, O.A. Knyazhechenko
المصدر: Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Vol 73, Iss 5, Pp 1159-1170 (2021)
بيانات النشر: Universidade Federal de Minas Gerais, 2021.
سنة النشر: 2021
المجموعة: LCC:Animal culture
مصطلحات موضوعية: forecasting, agricultural production, export-oriented strategy, econometric models, ridge regression, Animal culture, SF1-1100
الوصف: ABSTRACT The article considers econometric ridge regression models of the risk-sensitive sunflower yield on the example of an export-oriented agricultural crop. In particular, we have proved that despite the functional mulcollinearity of the predictors in the sunflower yield model with respect to risk caused by the algorithm peculiarities of the hierarchy analysis methods, the ridge regression procedure makes it possible to obtain its complete specification and provide biased but stable estimates of the forecast parameters in the case of uncertain input variables. It has been substantiated that the rational value of the displacement parameters is expedient to be established using a graphical interpretation of the ridge wake as the border of fast and slow fluctuations in the estimates of the ridge regression coefficients. Econometric models were calculated using SPSS Statistics, Mathcad and FAR-AREA 4.0 software. The empirical basis for forecast calculations was the assessment of trends in sunflower production in all categories of farms in the Rostov region of Russia for the period of 2008-2018. The calculation results of econometric models made it possible to develop three author's scenarios for the sunflower production in the region, namely, inertial, moderate, and optimistic ones that consider the export-oriented strategy of the agro-industrial complex.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
Portuguese
تدمد: 1678-4162
Relation: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352021000601159&tlng=en; https://doaj.org/toc/1678-4162
DOI: 10.1590/1678-4162-12367
URL الوصول: https://doaj.org/article/318a50f710144e78aee2be50eb69a7f4
رقم الأكسشن: edsdoj.318a50f710144e78aee2be50eb69a7f4
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16784162
DOI:10.1590/1678-4162-12367