Determinants of household beef consumption in Indonesia: A binary logistic analysis

Abstract

Consumption of high-value food such as beef tends to be responsive to the changes of price, income, and consumer's characteristics. Household expenditure data were used in this study. Binary logistic regression model analysis was used to investigate the selected socioeconomic and demographic characteristics of consumer/household regarding beef consumption. Household size, working participation of wives, region, level of education, income, and price factors are influencing the household's decision on beef consumption. This study reveals households in Indonesia sensitive to the change of beef price. Marginal effect value from binary logistic regression analysis showed that households tend to increase consuming beef varies from 0.5 to 1.6 times associated to socioeconomic factors of the households. Furthermore, potential increasing of beef consumption require availability of its foods by enhancing its production. Price intervention should be introduced in order to stabilize the fluctuation in beef prices.