Application of the marketing mix to the world export of animal products

  • Received February 10, 2020;
    Accepted March 2, 2020;
    Published March 4, 2020
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/im.16(1).2020.08
  • Article Info
    Volume 16 2020, Issue #1, pp. 79-88
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This work is licensed under a Creative Commons Attribution 4.0 International License

Agricultural trade is complicated owing to perishable goods and high requirements for safety and quality, especially by animal products. Intensifying their exports is a major priority in the context of augmenting competitive negotiations and providing global food security to cover a shortage of an animal protein intake. To address such challenges, this study aimed at improving marketing performance necessary for developing the world exports of animal products. The methodological research framework was the Marketing Mix model, which included Product, Price, Place, and Promotion, and was amplified by Innovation. The model components were presented by the average export prices and indicators for Infrastructure, ICT adoption, and Innovation capability evaluated for each exporting country. For testing hypotheses about homo- and heterogeneity of top exporters, this research utilized the single factor Analysis of Variance (ANOVA) technique. The offered approach was applied to the most valuable export segments of poultry, livestock, and dairy world markets. They engaged from 75 to 140 countries and had total export values between USD 3.2 billion and USD 33.2 billion. The study outcomes captured similarities and differences of Price, Place, Promotion, and Innovation components among the First 10, Second 10, and Third 10 ranked exporters. Given the found indicators of the top world exporters, the study clarifies prospects and attainable goals on developing exports of animal products at a country level.

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    • Table 1. Characteristics to input data
    • Table 2. ANOVA output over poultry export markets
    • Table 3. ANOVA output over livestock export markets
    • Table 4. ANOVA output over dairy export markets
    • Table A1. Market shares of top 10 exporters by animal products
    • Conceptualization
      Natalia Vasylieva
    • Data curation
      Natalia Vasylieva
    • Formal Analysis
      Natalia Vasylieva, Harvey James
    • Funding acquisition
      Natalia Vasylieva
    • Investigation
      Natalia Vasylieva, Harvey James
    • Methodology
      Natalia Vasylieva, Harvey James
    • Resources
      Natalia Vasylieva, Harvey James
    • Validation
      Natalia Vasylieva
    • Visualization
      Natalia Vasylieva
    • Writing – original draft
      Natalia Vasylieva
    • Project administration
      Harvey James
    • Software
      Harvey James
    • Supervision
      Harvey James
    • Writing – review & editing
      Harvey James