Moore, Henrietta; (2022) Dairy product consumption behaviour of Addis Ababa city households: A multivariate probit model approach. Ethiopian Journal of Applied Science and Technology , 13 (1) pp. 71-86.

Preview

Text 7. 46. EJAST 2939_69_80_OK.pdf - Other Download (569kB) | Preview

Abstract

Although Ethiopia is holding one of the largest dairy cattle herds in the world, the per capita consumption of dairy products is low. Moreover, the dairy marketing system in the country from where the consumers obtain dairy products is dominated by the informal market that supplies raw milk which can be a risk factor for zoonotic disease transmission. Using primary data collected from 384 sample households of Addis Ababa city, determinants of dairy products purchase decision was investigated. Descriptive statistics and multivariate probit (MVP) model were used to analyse the data. The results showed that raw milk, pasteurized milk, powdered ilk, cottage butter, cottage cheese, factory cheese, cottage yoghurt and factory yoghurt were purchased by 46%, 73%, 12%, 94%, 64%, 9%, 11% and 26% of the sampled households, respectively. The MVP model results indicated the interdependence of decisions to purchase different dairy products. The result of the model further revealed that religion, age and education of household head, family size, presence of children in household, and consumption value variables such as taste, price, social values (influence of friends and families), emotional values (the perception that dairy products offer pleasure and good feeling), conditional value (availability), and epistemic value (habit of trying new products) had a significant impact on dairy product purchase decision of the respondents. Therefore, addressing demographic, socio-economic and consumption value variables, and acknowledging the interdependence of decisions consumers make while purchasing multiple dairy products, would all be important factors to consider when designing policies to improve the consumers‟ nutritious food consumption and zoonotic diseases control.

Download activity - last month

Export as JSONCSVXML

Download activity - last 12 months

Export as JSONXMLCSV

Downloads by country - last 12 months

Export as CSVXMLJSON

Archive Staff Only

View Item