Policy makers in developing countries, including India, are increasingly sensitive to the links between spatial transformation and economic development. However, the empirical knowledge available on those links is most often insufficient to guide policy decisions. There is no shortage of case...

This paper proposes a methodology for identifying urban areas that combines subjective assessments with machine learning, and applies it to India, a country where several studies see the official urbanization rate as an under-estimate. For a representative sample of cities, towns and villages,...

This paper develops a tractable method to identify urban areas and applies it to India, where urbanization is messy. Google Earth images are assessed subjectively to determine whether a stratified large sample of Indian cities, towns and villages, as officially defined, are urban or rural in...

A unique strategic opportunity beckons Bangladesh. Dhaka, the economic powerhouse of the country, stands on the cusp of a dramatic transformation that could make it much more prosperous and livable. Today, Dhaka is prone to flooding, congestion, and messiness, to a point that is clogging its...