Food transportation and price impacted by diesel price and truck-driver shortage pre-, amid and post pandemic

Aichih Jasmine Chang , Fuqin Zhou , Nesreen El-Rayes , Jim Shi
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Abstract

The food transportation and distribution industry has been radically disrupted over the last few years, especially amid the COVID-19 pandemic. Food prices, for example, have been seen to increase considerably in the wave of economic inflation. As two main driving factors in the context of food transportation, (1) the rising diesel prices and (2) the prevailing shortage of truck drivers have posed threatening challenges, leading to a substantial surge in transportation costs and subsequently contributing to higher food market prices. Based on collected data consolidated from multiple sources, this study conducts a comprehensive analysis to elucidate the impact of diesel prices and driver availability on food prices. To this end, we have curated a panel dataset encompassing key variables such as diesel prices, truck driver availability, and food prices for the most popular food commodities (i.e., apples, potatoes, onions, and tomatoes) pre-, amid, and post-pandemic of COVID-19. Employing fixed effects regression, this paper specifically investigates the extent to which the surge in fuel prices and truck-driver availability has contributed to the overall increase in food prices in the United States fresh food market. With high statistical significance, the experiment results show that the rising diesel prices and the shortage of truck drivers’ availability have a significant positive impact on food price margin, ceteris paribus. The contributions of this study are multifold. First, our study enriches the food price literature by specifically considering the two fundamental root factors: truck-driver availability and diesel price. Second, this study provides data-driven empirical analysis to unveil how diesel prices, driver availability, and the significant impact of the pandemic drive food prices. Third, considering the impact of COVID-19, the food price sensitivity to diesel prices and driver availability obtained from this study renders practical guidelines for policy implications, especially in the age of a devastating pandemic.
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大流行前、中、后柴油价格和卡车司机短缺对食品运输和价格的影响
在过去几年里,尤其是在 COVID-19 大流行病的影响下,食品运输和分销行业受到了严重破坏。例如,食品价格在经济通胀浪潮中大幅上涨。作为食品运输的两个主要驱动因素,(1) 柴油价格上涨和 (2) 卡车司机普遍短缺构成了威胁性挑战,导致运输成本大幅飙升,进而造成食品市场价格上涨。本研究基于从多个来源收集到的综合数据,进行了全面分析,以阐明柴油价格和司机可用性对食品价格的影响。为此,我们建立了一个面板数据集,其中包括柴油价格、卡车司机可用性以及 COVID-19 大流行前、中、后最受欢迎的食品(即苹果、土豆、洋葱和西红柿)的价格等关键变量。本文采用固定效应回归法,具体研究了燃料价格和卡车司机可用性的飙升在多大程度上导致了美国新鲜食品市场食品价格的整体上涨。实验结果表明,柴油价格上涨和卡车司机供应短缺对食品价格利润率有显著的积极影响,且具有很高的统计显著性。本研究的贡献是多方面的。首先,我们的研究特别考虑了卡车司机可用性和柴油价格这两个根本因素,从而丰富了粮食价格文献。其次,本研究提供了数据驱动的实证分析,揭示了柴油价格、司机可用性和大流行病的重大影响是如何推动食品价格的。第三,考虑到 COVID-19 的影响,本研究得出的粮食价格对柴油价格和司机可用性的敏感性为政策影响提供了实用指南,尤其是在大流行病肆虐的时代。
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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