Estimating International Trade Margins Shares by Mode of Transport for the GTAP Data Base

IF 2.2 Q2 ECONOMICS Journal of Global Economic Analysis Pub Date : 2019-06-26 DOI:10.21642/JGEA.040102AF
José G. Nuño‐Ledesma, Nelson B. Villoria
{"title":"Estimating International Trade Margins Shares by Mode of Transport for the GTAP Data Base","authors":"José G. Nuño‐Ledesma, Nelson B. Villoria","doi":"10.21642/JGEA.040102AF","DOIUrl":null,"url":null,"abstract":"We estimate international transportation margin shares by mode of transport for the Global Trade Analysis Project (GTAP) Data Base. For each available origin-destination-GTAP sector triplet, we estimate the fractional share of the transport margin attributable to air, water, and other shipping modes. We use published relationships between ad valorem proportional changes in prices due to transportation costs and distances, weight-value ratios and fuel prices. Our final database contains 344,554 observations (origin-destination-sector-mode combinations) with transportation margin modal shares organized by 228 exporter countries, 209 importer countries, 45 traded GTAP sectors and 3 transportation modes. The main contribution of this article is to bring a more comprehensive set of information on trade by transport mode covering around 65% of global trade in 2004 and 55% in 2011. Our estimated shares contrast with those traditionally used in the GTAP Data Base which are extrapolations based solely on the modes of transport used by US exporters. A comparison of our shares with those used in version 9.0 of the GTAP Data Base reveals that the role of water transportation services in international trade is underestimated, while that of air transportation is overestimated. Overall, we find that estimations using the modal shares in version 9.0 of the GTAP Data Base overestimate the greenhouse gas emissions associated with international transport. Our new data were used to estimate transport margins by mode in Version 9.1 of the GTAP Data Base, and it is expected that our methods will be used to update future versions of the database.","PeriodicalId":44607,"journal":{"name":"Journal of Global Economic Analysis","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2019-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Economic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21642/JGEA.040102AF","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 4

Abstract

We estimate international transportation margin shares by mode of transport for the Global Trade Analysis Project (GTAP) Data Base. For each available origin-destination-GTAP sector triplet, we estimate the fractional share of the transport margin attributable to air, water, and other shipping modes. We use published relationships between ad valorem proportional changes in prices due to transportation costs and distances, weight-value ratios and fuel prices. Our final database contains 344,554 observations (origin-destination-sector-mode combinations) with transportation margin modal shares organized by 228 exporter countries, 209 importer countries, 45 traded GTAP sectors and 3 transportation modes. The main contribution of this article is to bring a more comprehensive set of information on trade by transport mode covering around 65% of global trade in 2004 and 55% in 2011. Our estimated shares contrast with those traditionally used in the GTAP Data Base which are extrapolations based solely on the modes of transport used by US exporters. A comparison of our shares with those used in version 9.0 of the GTAP Data Base reveals that the role of water transportation services in international trade is underestimated, while that of air transportation is overestimated. Overall, we find that estimations using the modal shares in version 9.0 of the GTAP Data Base overestimate the greenhouse gas emissions associated with international transport. Our new data were used to estimate transport margins by mode in Version 9.1 of the GTAP Data Base, and it is expected that our methods will be used to update future versions of the database.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
GTAP数据库按运输方式估算国际贸易利润份额
我们为全球贸易分析项目(GTAP)数据库估计了按运输方式划分的国际运输利润份额。对于每个可用的始发地-目的地- gtap部门三元组,我们估计了可归因于空运、水运和其他运输方式的运输利润的一小部分份额。我们使用已公布的从价比例变化与运输成本、距离、重量价值比和燃料价格之间的关系。我们的最终数据库包含344,554个观察值(始发地-目的地-部门-模式组合),其中包括由228个出口国、209个进口国、45个GTAP贸易部门和3种运输模式组织的运输利润率模式份额。本文的主要贡献是提供了一套更全面的贸易信息,包括2004年约占全球贸易65%的运输方式和2011年约占全球贸易55%的运输方式。我们估计的份额与GTAP数据库中传统使用的份额形成对比,后者仅根据美国出口商使用的运输方式进行外推。将我们的份额与GTAP数据库9.0版本的数据进行比较,可以发现水运服务在国际贸易中的作用被低估了,而航空运输的作用被高估了。总体而言,我们发现使用GTAP数据库9.0版中的模式份额估算过高估计了与国际运输相关的温室气体排放量。我们的新数据被用于GTAP数据库9.1版中按模式估计运输边际,预计我们的方法将用于更新数据库的未来版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.60
自引率
12.00%
发文量
0
期刊最新文献
Estimation of the value-added/intermediate input substitution elasticities consistent with the GTAP data A Ricardian Trade Structure in CGE: Modeling Eaton-Kortum Based Trade with GTAP GTAP-Power Data Base: Version 11 Calibrating Constant Elasticityof Substitution Technologies toBottom-up Cost Estimates A Latin Hypercube Sampling Utility: with an application to an Integrated Assessment Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1