{"title":"阿尔及利亚农业部门创造的附加值预测（1999-2021 年） Box-Jenkins 方法","authors":"Bouguetaia Soufyane, Kamel Belfodil","doi":"10.29011/2575-7091.100174","DOIUrl":null,"url":null,"abstract":"This study aims to predict the added value resulting from the agricultural sector in Algeria during the period between 2022-2026, and to achieve the goal, we shed light on the most prominent agricultural stations in Algeria, in addition to the relationship of the sector with the most important macro variables. By weighting, the model (0.1.4) is the most prominent for the forecasting process. As for the results obtained, the agricultural sector in Algeria will grow by 33.26% over the period 2026-2022","PeriodicalId":331461,"journal":{"name":"Food & Nutrition Journal","volume":"108 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forecasting the Added Value Generated by the Agricultural Sector in Algeria (1999-2021) Box-Jenkins Methodology\",\"authors\":\"Bouguetaia Soufyane, Kamel Belfodil\",\"doi\":\"10.29011/2575-7091.100174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to predict the added value resulting from the agricultural sector in Algeria during the period between 2022-2026, and to achieve the goal, we shed light on the most prominent agricultural stations in Algeria, in addition to the relationship of the sector with the most important macro variables. By weighting, the model (0.1.4) is the most prominent for the forecasting process. As for the results obtained, the agricultural sector in Algeria will grow by 33.26% over the period 2026-2022\",\"PeriodicalId\":331461,\"journal\":{\"name\":\"Food & Nutrition Journal\",\"volume\":\"108 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food & Nutrition Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29011/2575-7091.100174\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food & Nutrition Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29011/2575-7091.100174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting the Added Value Generated by the Agricultural Sector in Algeria (1999-2021) Box-Jenkins Methodology
This study aims to predict the added value resulting from the agricultural sector in Algeria during the period between 2022-2026, and to achieve the goal, we shed light on the most prominent agricultural stations in Algeria, in addition to the relationship of the sector with the most important macro variables. By weighting, the model (0.1.4) is the most prominent for the forecasting process. As for the results obtained, the agricultural sector in Algeria will grow by 33.26% over the period 2026-2022
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