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TRANSPORTATION APPRAISAL OF GLOBAL OIL TRADE FLOWS

机译:全球石油贸易流量的运输评估

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Among energy supply resources, crude oil has special importance as it supplies more than half of the world energy demands, today. In oil trade, transportation costs have significant effect on ultimate price like other commodities; therefore trade partners often try to select the nearest demand and supply resources. In the research reported herein, global oil trade flows were investigated during 2003 and role of distance as a transportation factor, in trade distribution was appraised. Accessible and relevant oil trade data for 115 countries were gathered. The study database consisted of 20 variables in four categories of trade, geographical, economical and political. Firstly, preliminary statistical analyses of the database were performed. Compared to other variables, country distances and gross domestic product showed higher correlation with national oil trade variables. Furthermore, simple modeling demonstrated that models in form of power had the best fit between oil trade variables, as dependent variables, and the others as independent variables. Moreover, multivariable oil trade models were developed and evaluated. Country distance, which is a geographic variable, was found as a significant decreasing factor in global oil trade. Gravity models for global oil trade were found as good descriptive models. The key variables of the models were gross domestic product of exporters and importers, and country distances which had positive and negative effect on growth of international trade. Finally, linear programming optimized oil trade and the results were compared with observed distribution. Comparison of observed and optimized distribution for the sea network showed possibility of improvements up to one third in total transportation cost.
机译:在能源供应资源中,原油在今天提供了超过一半的世界能源需求的重要性。在石油贸易中,运输成本对其他商品的最终价格具有显着影响;因此,贸易伙伴经常尝试选择最近的需求和供应资源。在本文报告的研究中,全球石油贸易流量在2003年进行了调查,贸易分配中作为运输因素的距离的作用被评估。收集了115个国家的无障碍和相关的石油贸易数据。该研究数据库由四类贸易,地理,经济和政治的20类变量组成。首先,进行数据库的初步统计分析。与其他变量相比,国家距离和国内生产总值与国家石油贸易变量较高。此外,简单的建模表明,电力形式的模型具有最佳的石油贸易变量,作为从属变量,以及其他变量作为独立变量。此外,开发和评估了多变量的石油贸易模型。作为地理变量的国家距离被发现是全球石油贸易的显着降低因素。全球石油贸易的重力模型被发现是良好的描述性模型。该模型的关键变量是出口商和进口商的国内生产总值,以及对国际贸易增长产生积极和负面影响的国家距离。最后,与观察到的分布相比,线性规划优化的石油贸易和结果进行了比较。海网观察和优化分布的比较显示出总运输成本的改进达三分之一。

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