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Analysis of Consumer Behaviour in the Context of the Place of Purchasing Food Products with Particular Emphasis on Local Products

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  • Agnieszka Dudziak

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland)

  • Monika Stoma

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland)

  • Emilia Osmólska

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, 20-612 Lublin, Poland)

Abstract

Background: Researchers and marketing specialists study consumer behaviour in the market because it is an important part of economics. There is a growing trend among consumers to buy local products. Consumers know that buying local products is seen to support local producers and entrepreneurs and protect the domestic economy. Methods: A diagnostic survey analysis was conducted among 404 respondents from Eastern Poland in 2022 to achieve the research objectives. The aim was to present the specifics of the phenomenon of consumer behaviour in relation to the place of purchase of food products, with particular emphasis on local products, according to the qualitative approach adopted. An attempt was made to identify and evaluate the attitudes and declarations of individual consumers in this area. A questionnaire was used as the research tool, and its distribution was carried out entirely electronically via the Internet. Results: The study showed that shopping habits vary by location and age, with hypermarkets and local stores popular among both men and women, while online shopping and wholesale options were also common. Conclusions: Understanding how consumers make decisions is a complex task, as it involves various factors such as thoughts, emotions and actions that lead to product selection and purchase. These factors can vary based on demographic characteristics, such as gender, age, and location. Studies have shown that Polish consumers are more likely to buy local products from large chain stores than from smaller manufacturer-owned stores, and prefer domestically produced goods, which is reflected in an ethnocentric attitude toward the local market.

Suggested Citation

  • Agnieszka Dudziak & Monika Stoma & Emilia Osmólska, 2023. "Analysis of Consumer Behaviour in the Context of the Place of Purchasing Food Products with Particular Emphasis on Local Products," IJERPH, MDPI, vol. 20(3), pages 1-23, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2413-:d:1050775
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    References listed on IDEAS

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    1. Mary Loxton & Robert Truskett & Brigitte Scarf & Laura Sindone & George Baldry & Yinong Zhao, 2020. "Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing," JRFM, MDPI, vol. 13(8), pages 1-21, July.
    2. Tomas Sadilek, 2019. "Perception of Food Quality by Consumers: Literature Review," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 52-62.
    3. Piotr Maleszyk, 2021. "Outflow of Talents or Exodus? Evidence on youth emigration from EU’s peripheral areas," REGION, European Regional Science Association, vol. 8, pages 33-51.
    4. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    5. Corinna Hawkes, 2008. "Dietary Implications of Supermarket Development: A Global Perspective," Development Policy Review, Overseas Development Institute, vol. 26(6), pages 657-692, November.
    6. Florio, Massimo & Sirtori, Emanuela, 2016. "Social benefits and costs of large scale research infrastructures," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 65-78.
    7. Wuyang Hu & Marvin T. Batte & Timothy Woods & Stan Ernst, 2012. "Consumer preferences for local production and other value-added label claims for a processed food product," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(3), pages 489-510, July.
    8. Ahmad Jalal & Israr Akhtar & Kibum Kim, 2020. "Human Posture Estimation and Sustainable Events Classification via Pseudo-2D Stick Model and K-ary Tree Hashing," Sustainability, MDPI, vol. 12(23), pages 1-24, November.
    9. Mieczysław Adamowicz, 2021. "The Potential for Innovative and Smart Rural Development in the Peripheral Regions of Eastern Poland," Agriculture, MDPI, vol. 11(3), pages 1-28, February.
    10. Seung-Eun Cha & Ki-Soo Eun, 2018. "Convergence in Sleep Time Accomplished? Gender Gap in Sleep Time for Middle-Aged Adults in Korea," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
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