Statistical Appraisal of Urban Growth in Barmer District (RAJASTHAN)

Abstract

The path coefficient and multiple regression analyses revealed percentage literacy and population. followed by percentage of non-agricultural workers, as the crucial variables for urbanization in Barmer district. Step-up regression analysis determined the major contributors to urbanization as percentage literacy, followed by population, percentage of non-agricultural workers, population density and infrastructure facilities. The high values of coefficient of determination (R² = 55.77%) implied that the estimated regression equations could safely be used for planned growth of urbanization in arid areas.