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Impacts of Food Consumption Lifestyle on the Expenditure for the Processed Food: Using Cluster Analysis and Matching Method

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  • Park, Misung

Abstract

This paper analyzes the impacts of food consumption lifestyle on the expenditure for the processed food. By factor and cluster analyses, food consumption lifestyles are classified into five different types; convenience-pursuing, new product-pursuing, homemade food-pursuing, brand-pursuing and wellbeing-pursuing are those identified lifestyles. In assessing the influence of lifestyle on food expenditure, we employ propensity score matching (PSM) in order to control the selection bias and endogeneity problem. The results of PSM analysis indicate that the expenditure on processed food of the consumers pursuing homemade food is 4,006~4,933 won lower than that of other types of consumers per visit of shopping. The expenditure on processed food of the consumers pursuing convenience is estimated to be 3,053~4,195 won higher than that of other types of consumers.

Suggested Citation

  • Park, Misung, 2014. "Impacts of Food Consumption Lifestyle on the Expenditure for the Processed Food: Using Cluster Analysis and Matching Method," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 37(3), September.
    • Handle: RePEc:ags:jordng:330628
    DOI: 10.22004/ag.econ.330628
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