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联合国贸发会议(UNCTAD):2025贸易和运输数据集:技术文档(中译版)(106页).pdf

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1、The Trade-and-Transport Dataset Technical and statistical reportUNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENTTechnical Documentation Geneva,2025 2025,United NationsRequests to reproduce excerpts or to photocopy should be addressed to the Copyright Clearance Centre at .All other queries on right

2、s and licences,including subsidiary rights,should be addressed to:United Nations Publications405 East 42nd StreetNew York,New York 10017United States of AmericaEmail:publicationsun.orgWebsite:https:/shop.un.orgThe findings,interpretations and conclusions expressed herein are those of the author(s)an

3、d do not necessarily reflect the views of the United Nations or its officials or Member States.The designations employed and the presentation of material on any map in this work do not imply the expression of any opinion whatsoever on the part of the United Nations concerning the legal status of any

4、 country,territory,city or area or of its authorities,or concerning the delimitation of its frontiers or boundaries.Mention of any firm or licensed process does not imply the endorsement of the United Nations.This publication has not been formally edited.United Nations publication issued by the Unit

5、ed Nations Conference on Trade and DevelopmentUNCTAD/STAT/2025/1ISBN:978-92-1-003559-0eISBN:978-92-1-107383-6Sales No.E.25.II.D.24The Trade-and-Transport DatasetTechnical DocumentationiiiAcknowledgmentsThis technical report provides detailed documentation of the content,concepts,sources and methods

6、for the Trade-and-Transport Dataset developed by UNCTAD and the World Bank.This report was prepared,under the overall guidance of Anu Peltola,Director of the Statistics Service of UNCTAD,by Onno Hoffmeister(UNCTAD)and benefited from comments by Daniel Hopp(UNCTAD),Alexander Blackburn(UNCTAD)and the

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根据《Trade-and-Transport Dataset》技术文档,全文主要内容概括如下: 1. **数据集目的**:提供关于国际贸易和运输的详细数据,分析全球物流系统变化的影响。 2. **数据范围**:涵盖2016至2021年,从237个经济体到170个目的地的贸易流,按商品组和运输方式细分。 3. **数据来源**:结合联合国商品贸易统计数据库(UN Comtrade)和基于GIS的货运运输网络模型。 4. **变量**:包括商品描述、来源、目的地、FOB价值、重量、运输支出、运输工作量、运输方式等。 5. **方法**:使用CIF-FOB差额来衡量运输成本,结合模型估计和GIS数据构建数据集。 6. **数据质量**:通过数据清洗和验证确保数据的准确性和可靠性。 7. **应用**:用于分析全球贸易和运输趋势,评估运输成本和运输方式的影响。
"揭秘全球贸易运输成本" 贸易运输新视角" "全球物流成本,数据揭秘!"
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