Heterogeneous risk perceptions: The case of poultry meat purchase intentions in Finland

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Abstract

This study focused on the heterogeneity of consumer reactions, measured through poultry meat purchase intentions, when facing three cases of risk. The heterogeneity was analysed by latent class logistic regression that included all three risk cases. Approximately 60% of the respondents belonged to the group of production risk avoiders, in which the intention to purchase risk food was significantly lower than in the second group of risk neutrals. In addition to socio-demographic variables, the purchase intentions were statistically associated with several attitude-based variables. We highlighted some policy implications of the heterogeneity. Overall, the study demonstrated that risk matters to consumers, not all risk is equal, and consumer types react somewhat differently to different types of risk. © 2013 by the authors; licensee MDPI, Basel, Switzerland.

Figures

  • Table 1. Descriptive statistics for the respondents in the data set and the 18- to 79-year-old population in Finland.
  • Table 2. Descriptive statistics for the poultry use variable and the attitude-based variables, including Cronbach’s alphas where applicable.
  • Table 3. Bayesian (BIC) and Akaike (AIC) information criteria for selecting the number of classes.
  • Table 4. Distribution of buyers based on purchase intentions, proportion of buyers, and correlation between the purchase intentions under different types of risk.
  • Table 5. Logistic regressions for the intention to purchase risk products (dependent variable: buy = 1, not buy = 0).
  • Table 6. Latent class logistic regression for purchase intentions. Class membership is explained with the covariates.
  • Figure 1. The stated intention to buy risk products in two consumer classes based on latent class logistic regression.

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CITATION STYLE

APA

Heikkilä, J., Pouta, E., Forsman-Hugg, S., & Mäkelä, J. (2013). Heterogeneous risk perceptions: The case of poultry meat purchase intentions in Finland. International Journal of Environmental Research and Public Health, 10(10), 4925–4943. https://doi.org/10.3390/ijerph10104925

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