IDEAS home Printed from https://ideas.repec.org/a/vrs/ecocul/v18y2021i1p100-112n1.html
   My bibliography  Save this article

Identification of Lithuanian International Trade Risk in Beverages

Author

Listed:
  • Baranauskaite Lina

    (Institute of Economics and Rural Development of Lithuanian Centre for Social Sciences, Vilnius, Lithuania)

  • Jurevicienė Daiva

    (Vilnius Gediminas Technical University, Vilnius, Lithuania)

Abstract

Research purpose. The article aims to identify the risk groups arising in foreign trade in the four main groups of processed beverages at a national level. Design / Methodology / Approach. Processed agricultural drinks do not fall into the category of essential food. The article examines four main drink groups: waters (including mineral waters and aerated waters, with additive), beer, wine, and other alcoholic (e.g., spirits, liqueurs, whiskies, rums, gins, vodkas, etc.) beverages. The case of Lithuania is presented. Analysis and assumption of scientific literature and TOPSIS method are used. The study does not aim to assess all risk factors but to identify the groups of risk factors and to rank them according to their importance for each processed beverage sectors supply chains. Findings. Based on the scientific literature analysis, the eight risk groups were identified and were evaluated according to their importance for the beverages supply chain. Experts ranked risk groups taking into account their importance for international processed beverages trade for each product group. The results show that the most important is the Demand risks group for all processed beverages, and the least important is Political risk. The significance of other risk groups for a particular beverage supply chains differs. Supply risks were second in the ‘water with add’ group, while in the ‘other alcohol’ group, it is in fourth place. For the ‘other alcohol’ group, supply risks are less significant. Production risks are one of the most important in the wine trade. Financial risks are one of the most important in the ‘other alcohol’ group. Management and operational risks play an essential role in the beer supply chains. The least significant is three risk groups: Logistical and infrastructural risks, Policy and regulatory risks, Political risks. Originality / Value / Practical implications. The identified risks groups in the four main groups of processed beverages can help shape the country’s trade policy, mitigate trade risks, and effectively manage the agricultural trade beverage subsector. Research results can be practically used both for government or business decisions and for the public sector (trade associations).

Suggested Citation

  • Baranauskaite Lina & Jurevicienė Daiva, 2021. "Identification of Lithuanian International Trade Risk in Beverages," Economics and Culture, Sciendo, vol. 18(1), pages 100-112, June.
  • Handle: RePEc:vrs:ecocul:v:18:y:2021:i:1:p:100-112:n:1
    DOI: 10.2478/jec-2021-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/jec-2021-0008
    Download Restriction: no

    File URL: https://libkey.io/10.2478/jec-2021-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gervais, Antoine, 2018. "Uncertainty, risk aversion and international trade," Journal of International Economics, Elsevier, vol. 115(C), pages 145-158.
    2. Binod Khanal & Rigoberto A. Lopez & Azzeddine Azzam, 2020. "Testing local bias in food consumption: The case of fluid milk," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 339-344, April.
    3. William Ho & Tian Zheng & Hakan Yildiz & Srinivas Talluri, 2015. "Supply chain risk management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 5031-5069, August.
    4. Joao Montalvao & Patricia Van de Velde, 2020. "COVID-19 and Food Security," World Bank Publications - Reports 33813, The World Bank Group.
    5. Khanal, Binod & Lopez, Rigoberto A. & Azzam, Azzeddine M., 2018. "Local Bias in Fluid Milk Consumption," 2018 Annual Meeting, August 5-7, Washington, D.C. 274142, Agricultural and Applied Economics Association.
    6. Merve Er Kara & Seniye Ümit Oktay Fırat, 2018. "Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    Full references (including those not matched with items on IDEAS)

    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. Binod Khanal & Rigoberto A. Lopez & Azzeddine Azzam, 2020. "Testing local bias in food consumption: The case of fluid milk," Agribusiness, John Wiley & Sons, Ltd., vol. 36(2), pages 339-344, April.
    2. Lina Baranauskaitė & Daiva Jurevičienė, 2021. "Import Risks of Agricultural Products in Foreign Trade," Economies, MDPI, vol. 9(3), pages 1-15, July.
    3. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-41, May.
    4. Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
    5. Seipp, Vanessa & Michel, Alex & Siegfried, Patrick, 2020. "Review of International Supply Chain Risk Within Banking Regulations in Asia, US and EU Including Proposals to Improve Cost Efficiency by Meeting Regulatory Compliance," MPRA Paper 111579, University Library of Munich, Germany, revised 23 Aug 2020.
    6. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    7. Esposito, Federico, 2022. "Demand risk and diversification through international trade," Journal of International Economics, Elsevier, vol. 135(C).
    8. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    9. Abbas, Ali & Iftikhar, Younas, 2023. "A Narrative Study on Quality Assurance Models," OSF Preprints wp843, Center for Open Science.
    10. Goknur Arzu Akyuz & Guner Gursoy, 2020. "Strategic management perspectives on supply chain," Management Review Quarterly, Springer, vol. 70(2), pages 213-241, May.
    11. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    12. Li, Yanqiong & Wang, Xiongyuan & He, Jie & Chan, Kam C., 2023. "Supply chain risk disclosure and seasoned equity offering discount," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    13. Tasso Adamopoulos & Fernando Leibovici, 2024. "Trade Risk and Food Security," Working Papers 2024-004, Federal Reserve Bank of St. Louis, revised Feb 2024.
    14. De Sousa, José & Disdier, Anne-Célia & Gaigné, Carl, 2020. "Export decision under risk," European Economic Review, Elsevier, vol. 121(C).
    15. Stewart, Hayden & Kuchler, Fred & Dong, Diansheng & Cessna, Jerry, 2021. "Examining the Decline in U.S. Per Capita Consumption of Fluid Cow’s Milk, 2003–18," USDA Miscellaneous 316500, United States Department of Agriculture.
    16. Federico Esposito, 2017. "Entrepreneurial Risk and Diversification through Trade," Working Papers w201714, Banco de Portugal, Economics and Research Department.
    17. Ghafoor, Laiba, 2023. "A Study on Quality Implementation Models: Action, Plans and Strategies," OSF Preprints 4szcj, Center for Open Science.
    18. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.
    19. Stewart, Hayden & Kuchler, Fred & Dong, Diansheng & Cessna, Jerry, 2021. "Examining the Decline in U.S. Per Capita Consumption of Fluid Cow’s Milk, 2003–18," Economic Research Report 327183, United States Department of Agriculture, Economic Research Service.
    20. Qian Zhou & Shuxiang Wang, 2021. "Study on the Relations of Supply Chain Digitization, Flexibility and Sustainable Development—A Moderated Multiple Mediation Model," Sustainability, MDPI, vol. 13(18), pages 1-19, September.

    More about this item

    Keywords

    International trade; Beverages trade; Foreign trade risk; Risk identification; TOPSIS;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • N5 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    Statistics

    Access and download statistics

    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:vrs:ecocul:v:18:y:2021:i:1:p:100-112:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.