136200

ADDRESSING SEASONAL VARIATIONS TO PREDICT CONSUMER PRICES OF RED MEAT

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

-

Abstract

The study aims to calculate the seasonal index of the prices of red meat (Sheep meat (Dani), Buffalo meat (Jamousi) and Cow meat (Kunduz) during the period (2008-2016) to be used as a guide in decision making of production and consumption and developing the agricultural economic policies. The study used the methodology of Box-Jenkins to predict monthly red meat prices. It was found that the optimal model is [ ARIMA (1.0.1) S (1,1,1)] for buffalo meat, and the best model for monthly prices model for cow meat (Kunduz) is [0,1,2] S (2,0,2)] and the best model for forecasting monthly prices of sheep meat (Dani) is (ARIMA) (0,1,2) S (1.0,0)]. Also, the demand of consumers to buy meat is in October and November during the national holidays and that there is convergence between predictive values and actual values. The study recommends using these models to predict the monthly prices of red meat (Jamousi, Kunduz and Dani).

DOI

10.21608/ejar.2018.136200

Keywords

Seasonal variations, red meat

Authors

First Name

WAFAA A.

Last Name

EID

MiddleName

-

Affiliation

Cent. Lab. For Design & Stat. Res., ARC, Egypt.

Email

-

City

-

Orcid

-

Volume

96

Article Issue

2

Related Issue

19840

Issue Date

2018-07-01

Receive Date

2017-12-05

Publish Date

2018-07-01

Page Start

747

Page End

767

Print ISSN

1110-6336

Online ISSN

2812-4936

Link

https://ejar.journals.ekb.eg/article_136200.html

Detail API

https://ejar.journals.ekb.eg/service?article_code=136200

Order

27

Type

Original Article

Type Code

1,041

Publication Type

Journal

Publication Title

Egyptian Journal of Agricultural Research

Publication Link

https://ejar.journals.ekb.eg/

MainTitle

ADDRESSING SEASONAL VARIATIONS TO PREDICT CONSUMER PRICES OF RED MEAT

Details

Type

Article

Created At

22 Jan 2023