Analyzing Internal and External Factors in Livestock Supply Forecasting Using Machine Learning: Sustainable Insights from South Korea
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
- Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
- Jie Pang & Juan Yin & Guangchang Lu & Shimei Li, 2023. "Supply and Demand Changes, Pig Epidemic Shocks, and Pork Price Fluctuations: An Empirical Study Based on an SVAR Model," Sustainability, MDPI, vol. 15(17), pages 1-16, August.
- Ga-Ae Ryu & Aziz Nasridinov & HyungChul Rah & Kwan-Hee Yoo, 2020. "Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data," Agriculture, MDPI, vol. 10(1), pages 1-14, January.
- Emediegwu, Lotanna E. & Ubabukoh, Chisom L., 2023. "Re-examining the impact of annual weather fluctuations on global livestock production," Ecological Economics, Elsevier, vol. 204(PA).
- Karel Šrédl & Marie Prášilová & Lucie Severová & Roman Svoboda & Michal Štěbeták, 2021. "Social and Economic Aspects of Sustainable Development of Livestock Production and Meat Consumption in the Czech Republic," Agriculture, MDPI, vol. 11(2), pages 1-23, January.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Haohao Song & Jiquan Wang, 2025. "A Knowledge-Driven Smart System Based on Reinforcement Learning for Pork Supply-Demand Regulation," Agriculture, MDPI, vol. 15(14), pages 1-34, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dapeng Zhou & Jing Zhang & Honghua Huan & Nanyan Hu & Yinqiu Li & Jinhua Cheng, 2025. "Assessing the Impact of External Shocks on Prices in the Live Pig Industry Chain: Evidence from China," Sustainability, MDPI, vol. 17(5), pages 1-28, February.
- Tserenpurev Chuluunsaikhan & Ga-Ae Ryu & Kwan-Hee Yoo & HyungChul Rah & Aziz Nasridinov, 2020. "Incorporating Deep Learning and News Topic Modeling for Forecasting Pork Prices: The Case of South Korea," Agriculture, MDPI, vol. 10(11), pages 1-22, October.
- Jindřich Špička & Zdeňka Náglová, 2022. "Consumer segmentation in the meat market - The case study of Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 68-77.
- Kumar, Naveen, 2025. "Beyond GDP: Quantifying Heterogeneous Impact of Climate Change on Well-being and Social Progress," SocArXiv j5kyc_v1, Center for Open Science.
- Seyed Mohammadreza Mahdavian & Fatemeh Askari & Hamed Kioumarsi & Reza Naseri Harsini & Hushang Dehghanzadeh & Behnaz Saboori, 2025. "Modeling the linkage between climate change, CH4 emissions, and land use with Iran's livestock production: A food security perspective," Natural Resources Forum, Blackwell Publishing, vol. 49(3), pages 2954-2977, August.
- Wuyue An & Lin Wang & Dongfeng Zhang, 2023. "Comprehensive commodity price forecasting framework using text mining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1888, November.
- Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
- Hana Vašková & Pavel Saska, 2024. "Comparison of Organic and Conventional Agriculture in the Czech Republic: A Systematic Review," Agriculture, MDPI, vol. 14(11), pages 1-17, November.
- Oyekola, Olayinka & Emediegwu, Lotanna E. & Animashaun, Jubril O., 2024.
"Commodity windfalls, political regimes, and environmental quality,"
Energy Economics, Elsevier, vol. 138(C).
- Olayinka Oyekola & Lotanna E. Emediegwu & Jubril Olayinka Animashaun, 2023. "Commodity windfalls, political regimes, and environmental quality," Discussion Papers 2306, University of Exeter, Department of Economics.
- Ga-Ae Ryu & Tserenpurev Chuluunsaikhan & Aziz Nasridinov & HyungChul Rah & Kwan-Hee Yoo, 2023. "SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization for Agricultural Time-Series Prediction," Agriculture, MDPI, vol. 13(11), pages 1-21, October.
- Junguo Hua & Jing Ding & Yufan Chen & Lulu Kang & Haiying Zhang & Junhua Zhang, 2024. "The fluctuation of pig prices and the identification of major drivers in China," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-29, November.
- Roberto Esposti, 2025. "Investigating commodity price interdependence with Granger causality networks," Working Papers 498, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Haohao Song & Jiquan Wang, 2025. "A Knowledge-Driven Smart System Based on Reinforcement Learning for Pork Supply-Demand Regulation," Agriculture, MDPI, vol. 15(14), pages 1-34, July.
- Haohao Song & Jiquan Wang & Gang Xu & Zhanwei Tian & Fei Xu & Hong Deng, 2024. "Novel Model for Pork Supply Prediction in China Based on Modified Self-Organizing Migrating Algorithm," Agriculture, MDPI, vol. 14(9), pages 1-30, September.
- Fei Li & Huishang Li & Xin Dai & Hongjie Ren & Huaiyang Li, 2025. "Does Online Public Opinion Regarding Swine Epidemic Diseases Influence Fluctuations in Pork Prices?—An Analysis Based on TVP-VAR and LDA Models," Agriculture, MDPI, vol. 15(7), pages 1-23, March.
- Kai Ye & Yangheran Piao & Kun Zhao & Xiaohui Cui, 2021. "A Heterogeneous Graph Enhanced LSTM Network for Hog Price Prediction Using Online Discussion," Agriculture, MDPI, vol. 11(4), pages 1-14, April.
- Mingyu Xu & Xin Lai & Yuying Zhang & Zongjun Li & Bohan Ouyang & Jingmiao Shen & Shiming Deng, 2024. "An Integrated Hog Supply Forecasting Framework Incorporating the Time-Lagged Piglet Feature: Sustainable Insights from the Hog Industry in China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
- Raluca Paula Turcu & Tatiana Dumitra Panaite & Arabela Elena Untea & Petru Alexandru Vlaicu & Irinel Adriana Badea & Silvia Mironeasa, 2021. "Effects of Grape Seed Oil Supplementation to Broilers Diets on Growth Performance, Meat Fatty Acids, Health Lipid Indices and Lipid Oxidation Parameters," Agriculture, MDPI, vol. 11(5), pages 1-16, April.
- Lotanna E. Emediegwu, 2024. "Assessing the Asymmetric Effect of Global Climate Anomalies on Food Prices: Evidence from Local Prices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(10), pages 2743-2772, October.
- Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6907-:d:1454597. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i16p6907-d1454597.html