IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1649-d739317.html
   My bibliography  Save this article

Transportation Infrastructure or Economic Power? Development of the Automobile Industry in the United States

Author

Listed:
  • Young-Kyou Ha

    (Department of International Logistics, Chung-Ang University, Seoul 06911, Korea)

  • Su-Han Woo

    (Department of International Logistics, Chung-Ang University, Seoul 06911, Korea)

Abstract

The motive for the Korean automobile industry’s US investment is the easing of trade regulations and managing a stable supply chain by establishing local production. The Korean automobile industry has undergone major changes due to strong trade regulations since the beginning of the Trump administration and the COVID-19 pandemic. This has affected parts production, procurement, and automobile manufacturing and shaken the foundation of the automobile industry supply chain. The purpose of this study is to provide implications for additional investment decisions by analyzing the impact of the US industry and economy on the success of the automobile industry if Korean automobile companies advance into the US. This study conducted panel analysis by collecting 10 years of data to investigate the impact of economic, industrial, and infrastructure factors in each state on the success of the automobile industry. This study reflected the characteristics and investment motivation of the automobile industry. The study findings revealed that an export-oriented industrial area is suitable for strategic investment rather than a region where the economy is simply large or where all industries are developed. In addition, when making investment decisions, it is important to prioritize the internal capabilities of the company rather than external factors.

Suggested Citation

  • Young-Kyou Ha & Su-Han Woo, 2022. "Transportation Infrastructure or Economic Power? Development of the Automobile Industry in the United States," Sustainability, MDPI, vol. 14(3), pages 1-11, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1649-:d:739317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1649/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Boysen, Nils & Emde, Simon & Hoeck, Michael & Kauderer, Markus, 2015. "Part logistics in the automotive industry: Decision problems, literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 242(1), pages 107-120.
    2. Boysen, Nils & Emde, Simon & Hoeck, Michael & Kauderer, Markus, 2015. "Part logistics in the automotive industry: Decision problems, literature review and research agenda," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 79443, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    4. Matthias Holweg & Joe Miemczyk, 2003. "Delivering the ‘3-day car’—the strategic implications for automotive logistics operations," Post-Print hal-01118747, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Surbhi Upadhyay & Suresh Kumar Garg & Rishu Sharma, 2023. "Analyzing the Factors for Implementing Make-to-Order Manufacturing System," Sustainability, MDPI, vol. 15(13), pages 1-22, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kuschel, Torben & Bock, Stefan, 2016. "The weighted uncapacitated planned maintenance problem: Complexity and polyhedral properties," European Journal of Operational Research, Elsevier, vol. 250(3), pages 773-781.
    2. Timo Gschwind & Stefan Irnich & Simon Emde & Christian Tilk, 2018. "Branch-Cut-and-Price for the Scheduling Deliveries with Time Windows in a Direct Shipping Network," Working Papers 1805, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    3. Baals, Julian & Emde, Simon & Turkensteen, Marcel, 2023. "Minimizing earliness-tardiness costs in supplier networks—A just-in-time truck routing problem," European Journal of Operational Research, Elsevier, vol. 306(2), pages 707-741.
    4. Meyer, Anne & Amberg, Boris, 2018. "Transport concept selection considering supplier milk runs – An integrated model and a case study from the automotive industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 147-169.
    5. Simon Emde, 2017. "Scheduling the replenishment of just-in-time supermarkets in assembly plants," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 321-345, January.
    6. Masood Fathi & Victoria Rodríguez & Dalila B.M.M. Fontes & Maria Jesus Alvarez, 2016. "A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 878-893, February.
    7. Jun Wang & Jingbo Yin & Rafi Ullah Khan & Siqi Wang & Tie Zheng, 2021. "A Study of Inbound Logistics Mode Based on JIT Production in Cruise Ship Construction," Sustainability, MDPI, vol. 13(3), pages 1-18, February.
    8. Timo Gschwind & Stefan Irnich & Christian Tilk & Simon Emde, 2020. "Branch-cut-and-price for scheduling deliveries with time windows in a direct shipping network," Journal of Scheduling, Springer, vol. 23(3), pages 363-377, June.
    9. Mustapha Sali & Evren Sahin, 2016. "Line feeding optimization for Just in Time assembly lines: an application to the automotive industry," Post-Print hal-01265041, HAL.
    10. Wenquan Dong & Mingzhou Jin & Yanyan Wang & Peter Kelle, 2021. "Retrieval scheduling in crane-based 3D automated retrieval and storage systems with shuttles," Annals of Operations Research, Springer, vol. 302(1), pages 111-135, July.
    11. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2020. "Loading tow trains ergonomically for just-in-time part supply," European Journal of Operational Research, Elsevier, vol. 284(1), pages 325-344.
    12. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    13. Quetschlich, Mathias & Moetz, André & Otto, Boris, 2021. "Optimisation model for multi-item multi-echelon supply chains with nested multi-level products," European Journal of Operational Research, Elsevier, vol. 290(1), pages 144-158.
    14. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2023. "Multi-depot electric vehicle scheduling in in-plant production logistics considering non-linear charging models," European Journal of Operational Research, Elsevier, vol. 306(2), pages 828-848.
    15. C. Briand & Y. He & S. U. Ngueveu, 2018. "Energy-efficient planning for supplying assembly lines with vehicles," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(4), pages 387-414, December.
    16. Sali, Mustapha & Sahin, Evren, 2016. "Line feeding optimization for Just in Time assembly lines: An application to the automotive industry," International Journal of Production Economics, Elsevier, vol. 174(C), pages 54-67.
    17. Emde, Simon & Gendreau, Michel, 2017. "Scheduling in-house transport vehicles to feed parts to automotive assembly lines," European Journal of Operational Research, Elsevier, vol. 260(1), pages 255-267.
    18. Ahmadian, Mohammad Mahdi & Salehipour, Amir & Cheng, T.C.E., 2021. "A meta-heuristic to solve the just-in-time job-shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 288(1), pages 14-29.
    19. Nils Boysen & David Boywitz & Felix Weidinger, 2018. "Deep-lane storage of time-critical items: one-sided versus two-sided access," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 1141-1170, October.
    20. Kuschel, Torben & Bock, Stefan, 2019. "Solving the Weighted Capacitated Planned Maintenance Problem and its variants," European Journal of Operational Research, Elsevier, vol. 272(3), pages 847-858.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1649-:d:739317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.