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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.

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
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    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.
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    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

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