Forecasting The Number of Monthly Slaughtered Hanwoo based on Sex Ratio at Birth and Holiday Season

Ji-su Kim, Hyung-woo Lee, Hong-seok Seo, Seon-woong Kim
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Abstract

The number of Korean native cattle, Hanwoo, has exceeded 3.5 million, the historical largest one, in May 2022. As a result, the Hanwoo industry are in a state of oversupply and are concerned about the risk of a price collapse. The main objective of this study is to develop medium- and long-term forecasting models for monthly Hanwoo supply as a way to reduce the risk of imbalance between supply and demand. To construct the forecasting models, the empirical histogram of the month-specific rate for Hanwoo is applied. The monthly data of Hanwoo in 2014-2022 are obtained from the Animal Product Traceability System in Korea. The results are as follows: A forecasting model for the number of monthly Hanwoo at 6-month-old with considering the birth sex ratio outperforms the other models. Also, adjusting the slaughter rate based on holiday season made the forecast more accurate. The forecasting models were evaluated based on multiple accuracy measures such as mean absolute percentage error(MAPE) and root mean square percentage error (RMSPE). The MAPE for the monthly slaughtered Hanwoo females and males were 9.37% and 8.98%, respectively. Therefore, the forecasting model developed in this study is expected to be useful as a tool to reduce the risk faced by those in the Hanwoo industry.
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基于出生性别比和假日季节的月屠宰韩宇数量预测
2022年5月,韩国本土牛的数量超过了历史上最多的350万头。因此,韩宇行业正处于供过于求的状态,并担心价格暴跌的风险。本研究的主要目的是建立韩宇每月供应的中长期预测模型,以减少供需失衡的风险。为了构建预测模型,我们采用了韩宇的月特异率的经验直方图。2014-2022年韩宇的月度数据来自韩国动物产品可追溯系统。结果表明:考虑出生性别比的6月龄月产韩宇数预测模型优于其他模型。此外,根据假日季节调整屠宰率使预测更加准确。根据平均绝对百分比误差(MAPE)和均方根百分比误差(RMSPE)等多种精度指标对预测模型进行评估。月屠宰韩宇雌、雄的MAPE分别为9.37%和8.98%。因此,本研究开发的预测模型有望成为减少韩宇行业面临的风险的工具。
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