Open AccessDeterminants of household beef consumption in Indonesia: a binary logistic analysis
Author(s) -
Mujtahidah Anggriani Ummul Muzayyanah,
Novizariani Dewi
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/387/1/012107
Subject(s) - consumption (sociology) , logistic regression , socioeconomic status , economics , value (mathematics) , agricultural economics , household income , production (economics) , socioeconomics , environmental health , statistics , geography , mathematics , microeconomics , population , medicine , social science , archaeology , sociology
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