Skip to main content

Table 1 Explanatory variables used in the binary logistic model

From: Adoption of water harvesting technologies among agro-pastoralists in semi-arid rangelands of South Eastern Kenya

Variable

Description

Type of measure

Expected sign

Dependent variable

 Adoption

Whether a HH adopted or not

Dummy (1 if yes, 0 if No)

 

Explanatory variables

 Age

Age of the HH head

Years (1, 2, 3……n)

−

 Gender

Gender of the HH head

Dummy (1 if male, 0 if Female

 ± 

 Education

Education level of HH head

0 = None, 1 = Primary, 2 = Secondary, 3 = College

 

 Monthly Income

Total monthly HH income

1 =  < 10,000, 2 = 10,000–20,000, 3 = 20,000–30,000, 4 =  > 30,000

 + 

 Land tenure

Type of land ownership

1 = Private, 2 = Community, 3 = Public

 ± 

 Membership in a group

Registered member in a farmers group

Dummy (1 if yes, 0 if No)

 + 

 Extension services

Extension information and training

Dummy (1 if yes, 0 if No)

 + 

 Active labour

Readily available labour force

Dummy (1 if yes, 0 if No)

 + 

 Credit

Access to agricultural credit

Dummy (1if yes, 0 if No)

 +