estimates of consumption-based poverty and inequality in rural Shaanxi, China. We also investigate whether using environmental …-area poverty rates leads to targeting errors. In other words, using environmental variables both helps more accurately identify … allow policy makers to reduce poverty funds in these better off areas and redirect them to poor areas). Using area …

at home. In the absence of remittance income, the poverty rate in Uzbekistan (measured at 3.2 dollar/day purchasing power …

related to spatial statistics and poverty. Poverty is one of the crucial problems in Indonesia which is not easy to be solved … Indonesian are considered poor. From the statistical point of view, poverty is an interesting topic because there are many … issues. The main objective of the geoinformatics group is to compile and develop spatial statistics applied on poverty …

measures of location, inequality and poverty risk can be readily computed. They can also efficiently process grouped income …

This paper exploits a novel municipal-level data set to explore patterns of convergence in income and poverty in Mexico … during 1992-2014. The paper finds that, despite a context of overall stagnant economic growth and poverty reduction, there is … evidence of income and poverty convergence at the municipal level. The findings suggest that these convergence processes stem …

Rapid economic growth over the past two decades lifted millions of people out of poverty in Central Asia. But the … districts. Islands of poverty and prosperity are thus lost in the averages-leading to targeting inaccuracies that can slow the … pace of poverty reduction. This study partially addresses the challenge. The accuracy of key welfare indicators is …