Complex Supply Modeling in Meat Industry: Quantitative Methods and Digital Solutions

Ekaterina A. Nifontova (), Marianna Yu. Gladkikh (), Eugenia S. Latinina (), Olga V. Kuznetsova () and Alexey N. Losev ()
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Ekaterina A. Nifontova: Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Marianna Yu. Gladkikh: Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Eugenia S. Latinina: Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Olga V. Kuznetsova: Russian State Agrarian University – Moscow Timiryazev Agricultural Academy
Alexey N. Losev: Russian State Agrarian University – Moscow Timiryazev Agricultural Academy

Chapter Chapter 13 in Unlocking Digital Transformation of Agricultural Enterprises, 2023, pp 115-120 from Springer

Abstract: Abstract Rational government-level management decisions can improve product quality and the efficiency of the meat industry manufacturers. Quality supply modeling in the meat industry and a reliable consequence forecast of management decisions can serve as a basis for taking measures in the sphere. These goals can be achieved using econometric modeling methods, which reveal the influence of specific factors on the studied indicators and also minimize occurring risks.

Keywords: Industry; Government regulation; Modeling; Regression; Forecast (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:innchp:978-3-031-13913-0_13

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DOI: 10.1007/978-3-031-13913-0_13

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