The production and consumption of safe and hygienic milk is a major concern in a developing country like Nepal. Adoption of food safety measures at farm level can play a critical role in ensuring quality and safety of the milk. This study has examined the factors influencing the acceptance/rejection rates for milk samples using a linear probabilistic and binary probit regression models. The study is based on milk safety survey data gathered from milk producers in six milk-producing districts of Nepal. The study has found that the dairy farmers adopting higher food safety measures have an increased probability of acceptance rate of their milk samples. Dairy farmers associated with a cooperative society, have depicted a higher probability of milk acceptance by 17 per cent. A higher milk sample acceptance rate has been found among the marginal and lower caste households in Nepal.
Read Article: http://dx.doi.org/10.5958/0974-0279.2017.00008.8