Assessing the Impact of LNG Fuel use in Logistics on Operational Efficiency and Economics in the Vietnamese Agricultural Export Supply Chain

Authors

Ha Minh Hieu

Department of Aviation Economics, Vietnam Aviation Academy (Vietnam)

Ho Thi Trang Nhung

Department of Aviation Economics, Vietnam Aviation Academy (Vietnam)

Article Information

DOI: 10.47772/IJRISS.2026.100300476

Subject Category: Logistics and Supply Chain

Volume/Issue: 10/3 | Page No: 6591-6603

Publication Timeline

Submitted: 2026-03-28

Accepted: 2026-04-02

Published: 2026-04-14

Abstract

This study aims to assess the impact of applying liquefied natural gas (LNG) as a green energy solution on logistics operations and the efficiency of Vietnam's agricultural export supply chain. Using a qualitative and quantitative approach with a PLS-SEM model, the research results confirm that supportive policies positively promote the adoption of LNG in green supply chains; the adaptability of businesses; and the readiness for technological innovation. Interestingly, the study highlights the moderating role of supportive policies in relation to the level of LNG usage in logistics, which most strongly impacts both economic efficiency and logistics operations. To transform supportive policies into a competitive advantage from LNG adoption, businesses need to view this as an opportunity to invest heavily in digital transformation, strengthen the institutional framework, focus on policy, create a green and smart logistics ecosystem, develop infrastructure, and promote LNG use, ultimately making LNG a pillar for the sustainable development of the agricultural supply chain.

Keywords

logistics performance, supply chain economic efficiency

Downloads

References

1. Aksu, C., & Başaran, İ. M. (2025). Development and validation of a scale for sustainable practices and their performance effects in logistics centres. Discover Sustainability 2025 6:1, 6(1), 1–33. https://doi.org/10.1007/S43621-025-01848-9 [Google Scholar] [Crossref]

2. Al-Kuwari, A., Kucukvar, M., Onat, N. C., Al-Yafei, H., & AlNouss, A. (2025). Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment. Energy Conversion and Management: X, 26(February). https://doi.org/10.1016/j.ecmx.2025.100905 [Google Scholar] [Crossref]

3. Al-Yafei, H., AlNouss, A., Aseel, S., Kucukvar, M., Onat, N. C., & Al-Ansari, T. (2022). How sustainable is liquefied natural gas supply chain? An integrated life cycle sustainability assessment model. Energy Conversion and Management: X, 15(May), 100246. https://doi.org/10.1016/j.ecmx.2022.100246 [Google Scholar] [Crossref]

4. Al Mamun, A., Reza, M. N. H., Yang, Q., & Aziz, N. A. (2025a). Dynamic capabilities in action: the synergy of big data analytics, supply chain ambidexterity, green supply chain and firm performance. Journal of Enterprise Information Management, 38(2), 636–659. https://doi.org/10.1108/JEIM-08-2024-0441 [Google Scholar] [Crossref]

5. Alfaqiyah, E., Alzubi, A., Aljuhmani, H. Y., & Öz, T. (2025). How Industry 4.0 Technologies Enhance Supply Chain Resilience: The Interplay of Agility, Adaptability, and Customer Integration in Manufacturing Firms. Sustainability 2025, Vol. 17, Page 7922, 17(17), 7922. https://doi.org/10.3390/SU17177922 [Google Scholar] [Crossref]

6. Anaraki, R. S., & Rahimpour, M. R. (2024). Liquefied methane storage and transportation. Advances and Technology Development in Greenhouse Gases: Emission, Capture and Conversion: Greenhouse Gases Storage and Transportation, 219–232. https://doi.org/10.1016/B978-0-443-19067-4.00004-8 [Google Scholar] [Crossref]

7. Arteconi, A., & Polonara, F. (2013). LNG as vehicle fuel and the problem of supply: The Italian case study. Energy Policy, 62, 503–512. https://doi.org/10.1016/J.ENPOL.2013.08.016 [Google Scholar] [Crossref]

8. Asha, L. N., Aragon, L. G., Dey, A., & Yodo, N. (2024). Location Optimization Strategies for Corn Production and Distribution towards Sustainable Green Supply Chain. Logistics, 8(3), 1–16. https://doi.org/10.3390/logistics8030078 [Google Scholar] [Crossref]

9. Assumpção, J. J., Campos, L. M. S., Vazquez-Brust, D. A., & M. Carvalho, M. (2024). The orchestration of green supply chain management practices to enable performance measurement and evaluation. Production Planning and Control, 35(14), 1706–1725. https://doi.org/10.1080/09537287.2023.2214526;WEBSITE:WEBSITE:TFOPB;PAGEGROUP:STRING:PUBLICATION [Google Scholar] [Crossref]

10. Banaszkiewicz, T., Chorowski, M., Gizicki, W., Jedrusyna, A., Kielar, J., Malecha, Z., Piotrowska, A., Polinski, J., Rogala, Z., Sierpowski, K., Skrzypacz, J., Stanclik, M., Tomczuk, K., & Dowżenko, P. (2020). Liquefied natural gas in mobile applications—opportunities and challenges. Energies, 13(21), 1–35. https://doi.org/10.3390/en13215673 [Google Scholar] [Crossref]

11. Beigizadeh, R., Delgoshaei, A., Ariffin, M. K. A., Hanjani, S. E., & Ali, A. (2022). A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations factors. RAIRO - Operations Research, 56(4), 2775–2800. https://doi.org/10.1051/RO/2022095 [Google Scholar] [Crossref]

12. Bittante, A., Pettersson, F., & Sax, H. (2018). Optimization of a small-scale LNG supply chain n. 148, 79–89. https://doi.org/10.1016/j.energy.2018.01.120 [Google Scholar] [Crossref]

13. Budiyanto, M. A., Putra, G. L., Riadi, A., Febri, A. M., & Theotokatos, G. (2023). Techno ‑ economic analysis of natural gas distribution using a small ‑ scale liquefied natural gas carrier Million British thermal units. Scientific Reports, 1–17. https://doi.org/10.1038/s41598-023-50155-8 [Google Scholar] [Crossref]

14. Bugarčić, F., Mijušković, V. M., & Aćimović, S. (2024). Innovation and New Technologies as Determinants of Logistics 4.0. Politicka Ekonomie , 72(1), 102–121. https://doi.org/10.18267/j.polek.1422 [Google Scholar] [Crossref]

15. Burki, U. (2018). Green supply chain management, green innovations, and green practices. Understanding Complex Systems, 81–109. https://doi.org/10.1007/978-3-319-94322-0_4 [Google Scholar] [Crossref]

16. Chen, C., Panichakarn, B., & Tseng, Y. (2024). Forging a Sustainable Path: Unleashing Collaborative Innovation to Expedite the Integration of Green Technologies in Supply Chains. LogForum, 20(2), 133–147. https://doi.org/10.17270/J.LOG.000984 [Google Scholar] [Crossref]

17. Christiansen, M., Fagerholt, K., Nygreen, B., & Ronen, D. (2007). Chapter 4 Maritime Transportation. Handbooks in Operations Research and Management Science, 14(C), 189–284. https://doi.org/10.1016/S0927-0507(06)14004-9 [Google Scholar] [Crossref]

18. Colicchia, C., Marchet, G., Melacini, M., & Perotti, S. (2013). Building environmental sustainability: empirical evidence from Logistics Service Providers. Journal of Cleaner Production, 59, 197–209. https://doi.org/10.1016/J.JCLEPRO.2013.06.057 [Google Scholar] [Crossref]

19. Das, D. (2017). Development and validation of a scale for measuring Sustainable Supply Chain Management practices and performance. Journal of Cleaner Production, 164, 1344–1362. https://doi.org/10.1016/J.JCLEPRO.2017.07.006 [Google Scholar] [Crossref]

20. Delgoshaei, A., Beighizadeh, R., Arffin, M. K. A. B. M., Leman, Z. B., & Ali, A. (2022). Forecast Innovative Development Level in Green Supply Chains Using a Comprehensive Fuzzy Algorithm. International Journal of Fuzzy Systems 2022 25:2, 25(2), 880–895. https://doi.org/10.1007/S40815-022-01416-7 [Google Scholar] [Crossref]

21. Emon, M. M. H., & Khan, T. (2025). Exploring the mediating role of green logistics in enhancing green supply chain performance: Evidence from Bangladesh. Journal of Engineering Research. https://doi.org/10.1016/J.JER.2025.10.003 [Google Scholar] [Crossref]

22. Goel, R. K., Saunoris, J. W., & Goel, S. S. (2021). Supply chain performance and economic growth: The impact of COVID-19 disruptions. Journal of Policy Modeling, 43(2), 298–316. https://doi.org/10.1016/j.jpolmod.2021.01.003 [Google Scholar] [Crossref]

23. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. Vectors, 816. https://doi.org/10.1016/j.ijpharm.2011.02.019 [Google Scholar] [Crossref]

24. Hakan, D., & Betül, U. (2020). A mathematical model on liquefied natural gas supply chain with uncertain demand. SN Applied Sciences, 2(9), 1–15. https://doi.org/10.1007/s42452-020-03297-7 [Google Scholar] [Crossref]

25. Hakan, D., Betül, U., Wang, J., Chi, H., Shou, W., Chong, H., Wang, X., Armyn, R., Priatna, W., Kamil, I., Latief, Y., Wahjuningsih, N., Yudha, Y., Putra, A., Budiyanto, M. A., Putra, G. L., Riadi, A., Febri, A. M., Theotokatos, G., … Sax, H. (2018). Optimization of a small-scale LNG supply chain n. Cleaner Logistics and Supply Chain, 148(July), 79–89. https://doi.org/10.1016/j.energy.2018.01.120 [Google Scholar] [Crossref]

26. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based A new criterion for assessing discriminant validity in variance-based structural equation modeling. December 2016. https://doi.org/10.1007/s11747-014-0403-8 [Google Scholar] [Crossref]

27. Hoyt, J., Huq, F., & Kreiser, P. (2007). Measuring organizational responsiveness: the development of a validated survey instrument. Management Decision, 45(10), 1573–1594. https://doi.org/10.1108/00251740710837979 [Google Scholar] [Crossref]

28. Jokinen, R., Pettersson, F., & Saxén, H. (2015). An MILP model for optimization of a small-scale LNG supply chain along a coastline. Applied Energy, 138, 423–431. https://doi.org/10.1016/J.APENERGY.2014.10.039 [Google Scholar] [Crossref]

29. Jum’a, L., Zaid, A. A., & Othman, M. (2025). Influence of Supply Chain Ambidexterity on Supply Chain Sustainability: The Mediating Role of Green Product Innovation. Logistics 2025, Vol. 9, Page 87, 9(3), 87. https://doi.org/10.3390/LOGISTICS9030087 [Google Scholar] [Crossref]

30. Kara, K., Kara, & Karahan. (2024). The mediating role of logistics innovativeness on logistics capabilities and supply chain performance: evidence from defence industry companies in Turkey. International Journal of Business Innovation and Research, 33(2), 137–167. https://econpapers.repec.org/RePEc:ids:ijbire:v:33:y:2024:i:2:p:137-167 [Google Scholar] [Crossref]

31. Kumar, S., Kwon, H. T., Choi, K. H., Lim, W., Cho, J. H., Tak, K., & Moon, I. (2011). LNG: An eco-friendly cryogenic fuel for sustainable development. Applied Energy, 88(12), 4264–4273. https://doi.org/10.1016/J.APENERGY.2011.06.035 [Google Scholar] [Crossref]

32. Li, N., Panichakarn, B., & Xing, T. (2025). Exploring the bridge between digital transformation and sustainable supply chain performance: An empirical study based on Yunnan fresh cut flower supply chain. Journal of Project Management, 10(2), 185–200. https://doi.org/10.5267/J.JPM.2025.3.002 [Google Scholar] [Crossref]

33. Liu, S., Thurasamy, R., & Hati, S. R. H. (2024). Determinants and Outcomes of Green Technology Innovation Adoption among Third-Party Logistics Firms in China: A SEM-ANN Analysis. Systems 2024, Vol. 12, Page 331, 12(9), 331. https://doi.org/10.3390/SYSTEMS12090331 [Google Scholar] [Crossref]

34. Mikolajková-Alifov, M., Pettersson, F., Björklund-Sänkiaho, M., & Saxén, H. (2019). A model of optimal gas supply to a set of distributed consumers. Energies, 12(3). https://doi.org/10.3390/en12030351 [Google Scholar] [Crossref]

35. Ngo, H. M., Vu, H. Q., Liu, R., Moritaka, M., & Fukuda, S. (2019). Challenges for the Development of Safe Vegetables in Vietnam: An Insight into the Supply Chains in Hanoi City. Journal of the Faculty of Agriculture, Kyushu University, 64(2), 355–365. https://doi.org/10.5109/2339027 [Google Scholar] [Crossref]

36. Nguyen, H. P. (2020). Human resource management of logistics in vietnam: Status and policy solutions. International Journal of Innovation, Creativity and Change, 11(3), 569–583. [Google Scholar] [Crossref]

37. Olugu, E. U., Wong, K. Y., & Shaharoun, A. M. (2011). Development of key performance measures for the automobile green supply chain. Resources, Conservation and Recycling, 55(6), 567–579. https://doi.org/10.1016/J.RESCONREC.2010.06.003 [Google Scholar] [Crossref]

38. Orysiak, E., & Shuper, M. (2025). Economic Impacts of Decarbonizing the LNG Fleet in the Baltic Sea. Energies, 18(18), 1–22. https://doi.org/10.3390/en18184975 [Google Scholar] [Crossref]

39. Osorio-Tejada, J. L., Llera-Sastresa, E., & Scarpellini, S. (2017). A multi-criteria sustainability assessment for biodiesel and liquefied natural gas as alternative fuels in transport systems. Journal of Natural Gas Science and Engineering, 42, 169–186. https://doi.org/10.1016/J.JNGSE.2017.02.046 [Google Scholar] [Crossref]

40. Pais Montes, C., Freire Seoane, M. J., & De La Peña Zarzuelo, I. (2019). Optimisation of the LNG supply chain: a literature overview. International Journal of Oil, Gas and Coal Technology, 1(1), 1. https://doi.org/10.1504/IJOGCT.2019.10026342 [Google Scholar] [Crossref]

41. Patrucco, A. S., Picanço Rodrigues, V., Fransoo, J. C., & Mejia-Argueta, C. (2025). Resilient Supply Chains Amid Uncertainty: Do Agility, Adaptability, and Alignment Mitigate the Effects of Major Disruptions? Journal of Business Logistics, 46(4), e70037. https://doi.org/10.1111/JBL.70037;REQUESTEDJOURNAL:JOURNAL:21581592;WGROUP:STRING:PUBLICATION [Google Scholar] [Crossref]

42. Pham, V. T. (2020). Optimizing logistics system to serve vietnam’s rice export strategy. Research in World Economy, 11(3), 231–244. https://doi.org/10.5430/rwe.v11n3p231 [Google Scholar] [Crossref]

43. Pi, S.-M., & Chang, C.-Y. (2024). The Impact of Information Technology Infrastructure and Supply Chain Capability on Operational Performance. International Journal of Innovation in Management, 12(2), 37–46. [Google Scholar] [Crossref]

44. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. The Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879 [Google Scholar] [Crossref]

45. Pörtner, H.-O. . R. H. . A. I. . A. C. A. R. A. P. A. E. A. R. A. B. B. B.-F. R. B. K. R. B. J. B. K. B. M. A. C. (2023). Climate Change2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of theIntergovernmental Panel on Climate Change. In Climate Change 2022 – Impacts, Adaptation and Vulnerability (Issue August). https://doi.org/10.1017/9781009325844.CITATIONS [Google Scholar] [Crossref]

46. Qi, M., Kim, Y., He, T., Lee, I., & Park, J. (2025). Sustainable LNG supply chain enabled by clean and cost-effective energy self-integration via cold storage and the Allam cycle. Energy, 320, 135126. https://doi.org/10.1016/J.ENERGY.2025.135126 [Google Scholar] [Crossref]

47. Ramandi, M. D., Jabbarzadeh, A., Chaabane, A., & Amodeo, L. (2025). Green supply chain coordination with profit-sharing and government intervention: a game-theoretic approach applied to the pharmaceutical industry. Journal of the Operational Research Society, 1–35. https://doi.org/10.1080/01605682.2025.2544865;PAGE:STRING:ARTICLE/CHAPTER [Google Scholar] [Crossref]

48. Rauniar, R., Rawski, G., Cao, Q. R., & Shah, S. (2024). Mediating effect of industry dynamics, absorptive capacity and resource commitment in new digital technology adoption and effective implementation processes. Journal of Enterprise Information Management, 37(3), 928–958. https://doi.org/10.1108/JEIM-06-2022-0190 [Google Scholar] [Crossref]

49. Sabaghieh Yazd, M., Ramezanian, R., Varmazyar, M., Ebrahimi, S. B., & Esmaeeli, E. (2025). Designing a dual-channel production-distribution network for reducing greenhouse gas emissions based on customer segmentation. Journal of Industrial and Production Engineering. https://doi.org/10.1080/21681015.2025.2491459;SUBPAGE:STRING:ACCESS [Google Scholar] [Crossref]

50. Sari, D. P., Tuswan, T., Muttaqie, T., Soetardjo, M., Putrastyo Murwatono, T. T., Utina, R., Yuniati, Y., Prabowo, A. R., & Misbahudin, S. (2023). Critical Overview and Challenge of Representative LNG- Fuelled Ships on Potential GHG Emission Reduction. Evergreen, 10(3), 1792–1808. https://doi.org/10.5109/7151729 [Google Scholar] [Crossref]

51. Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: A survey. International Journal of Flexible Manufacturing Systems, 2(4), 289–328. https://doi.org/10.1007/BF00186471/METRICS [Google Scholar] [Crossref]

52. Townsend, C. (2022). A Risky Business: An Actuary’s Guide to Quantifying and Managing Risk in Society. A Risky Business: An Actuary’s Guide to Quantifying and Managing Risk in Society, 1–409. https://doi.org/10.1007/978-3-031-11673-5/COVER [Google Scholar] [Crossref]

53. Varma, S., & Shah, B. (2021). A Study of the Relationship between Logistics Performance and Human Development. Proceedings of the International Conference on Industrial Engineering and Operations Management, May, 833–845. https://doi.org/10.46254/in01.20210244 [Google Scholar] [Crossref]

54. Wang, J., Chi, H., Shou, W., Chong, H., & Wang, X. (2018). A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry. https://doi.org/10.3390/su10124822 [Google Scholar] [Crossref]

55. Wu, J., Bai, Y., Zhao, H., Hu, X., & Cozzani, V. (2021). A quantitative LNG risk assessment model based on integrated Bayesian-Catastrophe-EPE method. Safety Science, 137(February), 105184. https://doi.org/10.1016/j.ssci.2021.105184 [Google Scholar] [Crossref]

56. Xu, H., Nghia, D. T., & Nam, N. H. (2023). Determinants of Vietnam’s potential for agricultural export trade to Asia-Pacific economic cooperation (APEC) members. Heliyon, 9(2). https://doi.org/10.1016/j.heliyon.2023.e13105 [Google Scholar] [Crossref]

57. Zhang, H., Wu, Y., Zhen, L., Jin, Y., & Wang, S. (2024). Optimization problems in liquefied natural gas transport and storage for multimodal transport companies. Electronic Research Archive, 32(8), 4828–4844. https://doi.org/10.3934/era.2024221 [Google Scholar] [Crossref]

58. Zhu, Q., Sarkis, J., & Lai, K. hung. (2008). Confirmation of a measurement model for green supply chain management practices implementation. International Journal of Production Economics, 111(2), 261–273. https://doi.org/10.1016/J.IJPE.2006.11.029 [Google Scholar] [Crossref]

59. Zhu, Q., Sarkis, J., & Lai, K. hung. (2013). Institutional-based antecedents and performance outcomes of internal and external green supply chain management practices. Journal of Purchasing and Supply Management, 19(2), 106–117. https://doi.org/10.1016/J.PURSUP.2012.12.001 [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles