Extended Cox Model on Duration Taken to Release Cargo at Kenyan Border Entry Point: A Case Study of Malaba Osbp

Kennedy Ekeya Emoru, J. Chelule, Herbert Orango Imboga, A. Anapapa
{"title":"Extended Cox Model on Duration Taken to Release Cargo at Kenyan Border Entry Point: A Case Study of Malaba Osbp","authors":"Kennedy Ekeya Emoru, J. Chelule, Herbert Orango Imboga, A. Anapapa","doi":"10.12691/ajams-8-3-3","DOIUrl":null,"url":null,"abstract":"Duration taken to release cargo is one of World Customs Organisationi¯s most significant instruments of measuring trade facilitation. It is a way of reviewing clearance procedure by measuring the time taken to release cargo at border entry points. This research therefore aimed to model clearance time using the Extended Cox model, which is a modification of the proportional hazard Cox model in which proportional hazard assumptions are not met, and tested the practicability of the model and compared the performance of Extended Cox model with the other conventional methods using secondary data on time clearance that was obtained from the KRA, Malaba OSBP, for the period 1st January 2015 to 31st July 2019. The variables in the study were both time depend (time taken from registration to release) and time independent (customs regimes, origin, destination, customs value and description of goods). The variables used in the research project were tested for proportional hazard assumptions. Extended Cox model was the most suitable model for analysis duration taken to release cargo data has it was found to have a lower AIC and BIC as compared to conventional cox model. Therefore, customs administration should embrace the use of Extended Cox model to analysis duration taken to release cargo data as it is statistically significant and give efficient results that are based on proper statistical methods. It is recommended that further studies to be done on a large data set that encompasses both entry and exit cargo in all the Kenyan border points.","PeriodicalId":91196,"journal":{"name":"American journal of applied mathematics and statistics","volume":"94 1","pages":"96-102"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of applied mathematics and statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12691/ajams-8-3-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Duration taken to release cargo is one of World Customs Organisationi¯s most significant instruments of measuring trade facilitation. It is a way of reviewing clearance procedure by measuring the time taken to release cargo at border entry points. This research therefore aimed to model clearance time using the Extended Cox model, which is a modification of the proportional hazard Cox model in which proportional hazard assumptions are not met, and tested the practicability of the model and compared the performance of Extended Cox model with the other conventional methods using secondary data on time clearance that was obtained from the KRA, Malaba OSBP, for the period 1st January 2015 to 31st July 2019. The variables in the study were both time depend (time taken from registration to release) and time independent (customs regimes, origin, destination, customs value and description of goods). The variables used in the research project were tested for proportional hazard assumptions. Extended Cox model was the most suitable model for analysis duration taken to release cargo data has it was found to have a lower AIC and BIC as compared to conventional cox model. Therefore, customs administration should embrace the use of Extended Cox model to analysis duration taken to release cargo data as it is statistically significant and give efficient results that are based on proper statistical methods. It is recommended that further studies to be done on a large data set that encompasses both entry and exit cargo in all the Kenyan border points.
肯尼亚边境口岸货物放行时间的扩展Cox模型:以马拉巴口岸为例
放行货物所需时间是世界海关组织衡量贸易便利化程度的最重要指标之一。这是一种审查清关程序的方法,通过测量在边境入境点放行货物所需的时间。因此,本研究旨在使用比例风险Cox模型的扩展Cox模型(该模型是对比例风险Cox模型的修正,不满足比例风险假设)来建模清除时间,并使用2015年1月1日至2019年7月31日马拉巴OSBP KRA获得的时间清除二手数据来检验模型的实用性,并将扩展Cox模型与其他传统方法的性能进行比较。研究中的变量既与时间有关(从登记到放行所需的时间),也与时间无关(海关制度、原产地、目的地、完税价格和货物描述)。对研究项目中使用的变量进行了比例风险假设检验。扩展Cox模型是最适合用于发布货物数据的分析持续时间的模型,因为与传统Cox模型相比,它具有较低的AIC和BIC。因此,海关管理部门应采用扩展Cox模型来分析发布货物数据所需的时间,因为它具有统计意义,并基于适当的统计方法给出有效的结果。建议对包括肯尼亚所有边境点的入境和出境货物在内的大量数据集进行进一步研究。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信