Table 1.

Explanatory variables used in spatial regression analysis

Variables	Expected relationship to poverty
Exogenous variables
Rainfall	Negative (low rainfall, higher poverty)
Rainfall variation	Positive (high variation, higher poverty)
Elevation	Positive (high elevation, higher poverty)
Slope	Positive (steeper slope, higher poverty)
Type of land cover	Not known
Distance to towns/municipalities/cities	Positive (greater distance, higher poverty)
Length of growing period (LGP)	Negative (longer LGP, lower poverty)
Soil type	Negative (good soil, lower poverty)
Possible endogenous variables
Population	Not known
No. and density of markets	Either direction
Transport time to towns, markets, and cities	Either direction
Density of roads	Either direction