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http://dx.doi.org/10.11625/KJOA.2022.30.2.231

Forecasting of Domestic Beef Demand Using Exponential Smoothing Model  

Kim, Woo-Seok (전북대학교 빅데이터비즈니스연구소)
Um, Ji-Bum (순천대학교 농업경제학과)
Publication Information
Korean Journal of Organic Agriculture / v.30, no.2, 2022 , pp. 231-239 More about this Journal
Abstract
The purpose of this study is to provide meaningful information for various stakeholders' decision-making process through forecasting of domestic beef demand. Three different exponential smoothing models were evaluated, and a double exponential smoothing model was used to forecast domestic beef demand based on time-series data, As a result of the forecast, domestic beef consumption is expected to increase by 37,000 to 40,000 tons per year from 2020 to 2025.
Keywords
consumption; decision-making; demand; forecasting; stakeholders;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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