Table 3.

Categorisation of the continuous variables using national statistics and for use in a binary logistic regression analysis.

Variables	Description of the variable	Type of variable
Categorical
Age	Farmer’s age in years	Low = less than 30 years
High = 30 years and above
Household size	Number of people constituting his/her household	Small = less than 4 persons
Large = 4 or more persons
Television	Number of hours the farmer watches television in a day	Weak = less than 2 hours a day
Strong = 2 or more hours a day
Radio	Number of hours the farmer listen to radio in a day	Weak = less than 3 hours a day
Strong = 3 or more hours a day
Newspaper	Number of hours the farmer reads newspapers in a day	Weak = less than 1 hour a day
Strong = 1 or more hours a day
Experience	The number of years the farmers has been cultivating vegetables in the city.	Low = less than 2 years
High = 2 or more years
Annual net revenue (income level per household)	The difference between gross revenue and gross expenditure	Low = less than US$4,280 per annum
High = US$4,280 or more per annum
Income per capita	The net revenue divided by the household size	Low = Less than US$735/annum
High = More than US$735/annum
Number of beds	Number of vegetable bed owned by a farmer	Low = less than 30 beds
High = 30 or more beds