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

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

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.

Suggested Citation

  • Jasmine Chang, Aichih & Zhou, Fuqin & El-Rayes, Nesreen & Shi, Jim, 2024. "Food transportation and price impacted by diesel price and truck-driver shortage pre-, amid and post pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  • Handle: RePEc:eee:transe:v:192:y:2024:i:c:s1366554524003855
    DOI: 10.1016/j.tre.2024.103794
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    as
    1. Thorbecke, Willem, 2019. "How oil prices affect East and Southeast Asian economies: Evidence from financial markets and implications for energy security," Energy Policy, Elsevier, vol. 128(C), pages 628-638.
    2. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    3. Long Gao & Jim (Junmin) Shi & Michael F. Gorman & Ting Luo, 2020. "Business Analytics for Intermodal Capacity Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 310-329, March.
    4. Mittal, Neha & Udayakumar, Prashanth D. & Raghuram, G. & Bajaj, Neha, 2018. "The endemic issue of truck driver shortage - A comparative study between India and the United States," Research in Transportation Economics, Elsevier, vol. 71(C), pages 76-84.
    5. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    6. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    7. Pahwa, Anmol & Jaller, Miguel, 2023. "Assessing last-mile distribution resilience under demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    8. Sarwar, Muhammad Nadeem & Hussain, Hamid & Maqbool, Muhammad Bilal, 2020. "Pass through effects of oil price on food and non-food prices in Pakistan: A nonlinear ARDL approach," Resources Policy, Elsevier, vol. 69(C).
    9. Chang, Jasmine (Aichih) & Katehakis, Michael N. & Shi, Jim (Junmin) & Yan, Zhipeng, 2021. "Blockchain-empowered Newsvendor optimization," International Journal of Production Economics, Elsevier, vol. 238(C).
    10. Mark Zingbagba & Rubens Nunes & Muriel Fadairo, 2020. "The impact of diesel price on upstream and downstream food prices: Evidence from São Paulo," Post-Print hal-03976350, HAL.
    11. Li, Zhong-Ping & Wang, Jian-Jun & Perera, Sandun & Shi, Jim (Junmin), 2022. "Coordination of a supply chain with Nash bargaining fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    12. Robert C Ready, 2018. "Oil Prices and the Stock Market [The vix, the variance premium and stock market volatility]," Review of Finance, European Finance Association, vol. 22(1), pages 155-176.
    13. Aichih (Jasmine) Chang & Nesreen El-Rayes & Jim Shi, 2022. "Blockchain Technology for Supply Chain Management: A Comprehensive Review," FinTech, MDPI, vol. 1(2), pages 1-15, June.
    14. Volpe, Richard & Leibtag, Ephraim S. & Roeger, Edward, 2013. "How Transport Costs Affect Fresh Fruit and Vegetable Prices," Economic Research Report 161355, United States Department of Agriculture, Economic Research Service.
    15. repec:oup:ecpoli:v:29:y:2014:i:80:p:691-747 is not listed on IDEAS
    16. Hertel, Thomas W., 2010. "The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making?," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 92639, Agricultural and Applied Economics Association.
    17. Chen, Sheng-Tung & Kuo, Hsiao-I & Chen, Chi-Chung, 2010. "Modeling the relationship between the oil price and global food prices," Applied Energy, Elsevier, vol. 87(8), pages 2517-2525, August.
    18. Mitchell, Donald, 2008. "A note on rising food prices," Policy Research Working Paper Series 4682, The World Bank.
    19. Christiane Baumeister & Lutz Kilian, 2014. "Do oil price increases cause higher food prices? [Biofuels, binding constraints, and agricultural commodity price volatility]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 29(80), pages 691-747.
    20. T Le Cotty & M Maitre d'Hotel & Mamadou Ndiaye, 2017. "Transport Costs and Food Price Volatility in Africa," Post-Print hal-01662661, HAL.
    21. T Le Cotty & M Maitre d'Hotel & Mamadou Ndiaye, 2017. "Transport Costs and Food Price Volatility in Africa," Post-Print hal-01837871, HAL.
    22. Michael N. Katehakis & Benjamin Melamed & Jim Junmin Shi, 2022. "Optimal replenishment rate for inventory systems with compound Poisson demands and lost sales: a direct treatment of time-average cost," Annals of Operations Research, Springer, vol. 317(2), pages 665-691, October.
    23. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    24. Christopher Gilbert & Wyn Morgan, 2010. "Has food price volatility risen?," Department of Economics Working Papers 1002, Department of Economics, University of Trento, Italia.
    25. Sebastjan Škerlič & Vanja Erčulj, 2021. "The Impact of Financial and Non-Financial Work Incentives on the Safety Behavior of Heavy Truck Drivers," IJERPH, MDPI, vol. 18(5), pages 1-14, March.
    26. Fowowe, Babajide, 2016. "Do oil prices drive agricultural commodity prices? Evidence from South Africa," Energy, Elsevier, vol. 104(C), pages 149-157.
    27. Wu, Jiang & Zhang, Pei-wen & Wang, Yu & Shi, Jim (Junmin), 2022. "Integrated aviation model and metaheuristic algorithm for hub-and-spoke network design and airline fleet planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    28. Valadkhani, Abbas & Smyth, Russell & Vahid, Farshid, 2015. "Asymmetric pricing of diesel at its source," Energy Economics, Elsevier, vol. 52(PA), pages 183-194.
    29. Jian Yang & Jim (Junmin) Shi, 2023. "Discrete‐item inventory control involving unknown censored demand and convex inventory costs," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 45-64, January.
    30. Michael H Belzer & Stanley A Sedo, 2018. "Why do long distance truck drivers work extremely long hours?," The Economic and Labour Relations Review, , vol. 29(1), pages 59-79, March.
    31. Feng Yang & Junjun Kong & Tianzhuo Liu & Sheng Ang, 2022. "Cooperation and coordination in green supply chain with R&D uncertainty," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(3), pages 481-496, March.
    32. Thomas W. Hertel, 2011. "The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making?-super- 1," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 259-275.
    33. repec:bla:ecpoli:v:29:y:2014:i:80:p:691-747 is not listed on IDEAS
    34. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    35. Zingbagba, Mark & Nunes, Rubens & Fadairo, Muriel, 2020. "The impact of diesel price on upstream and downstream food prices: Evidence from São Paulo," Energy Economics, Elsevier, vol. 85(C).
    36. Jim Shi, 2022. "Optimal continuous production-inventory systems subject to stockout risk," Annals of Operations Research, Springer, vol. 317(2), pages 777-804, October.
    37. T Le Cotty & E Maitre d'Hotel & M Ndiaye, 2017. "Transport Costs and Food Price Volatility in Africa," Journal of African Economies, Centre for the Study of African Economies, vol. 26(5), pages 625-654.
    38. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    39. Jim (Junmin) Shi & Yao Zhao & Rose B. Karimi Kiwanuka & Jasmine (Aichih) Chang, 2019. "Optimal Selling Policies for Farmer Cooperatives," Production and Operations Management, Production and Operations Management Society, vol. 28(12), pages 3060-3080, December.
    40. Yoshinori Suzuki & Meltem Denizel, 2024. "An efficient system of incentivizing truck drivers to accept night loads," International Journal of Production Research, Taylor & Francis Journals, vol. 62(11), pages 3819-3834, June.
    41. Nor Ermawati Hussain & Mohd Shahidan Shaari & Diana Nabila Chau Abdullah, 2018. "Effects of Retailing Selling Prices of Petrol and Diesel on Food Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 28-32.
    42. Timothy J. Richards & Zachariah Rutledge & Marcelo Castillo, 2024. "Labor shortages and agricultural trucking rates," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 72(2), pages 105-129, June.
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