S. Quaini, S. Saccani, S. Vergalli, Luigi Assom, M. Beria, A. Codello, Maurizio Monaco, Riccardo Sabatini
{"title":"全球粮食商品贸易的季节性特征。一种数据挖掘方法","authors":"S. Quaini, S. Saccani, S. Vergalli, Luigi Assom, M. Beria, A. Codello, Maurizio Monaco, Riccardo Sabatini","doi":"10.2139/ssrn.3719812","DOIUrl":null,"url":null,"abstract":"We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.","PeriodicalId":323424,"journal":{"name":"FEEM: 2030 Agenda (Topic)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach\",\"authors\":\"S. Quaini, S. Saccani, S. Vergalli, Luigi Assom, M. Beria, A. Codello, Maurizio Monaco, Riccardo Sabatini\",\"doi\":\"10.2139/ssrn.3719812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.\",\"PeriodicalId\":323424,\"journal\":{\"name\":\"FEEM: 2030 Agenda (Topic)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FEEM: 2030 Agenda (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3719812\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FEEM: 2030 Agenda (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3719812","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Seasonality Fingerprint on Global Trading of Food-commodities. A Data-mining Approach
We analyze the United Nations commodities trade database (UN comtrade), comprised of international commodities exchanges in volume and price with monthly resolution. We introduce a trade impact index to quantify the impact, in terms of distance travelled, of importing a specific food raw commodity in a specific period of the year and in a specific country of the world. This index captures the seasonal exchange of raw commodities in an insightful and concise manner.