Showing 1 - 10 of 12
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012245611
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012970695
This paper takes a fresh look at growth convergence in India, combining insights from macroeconomics and urban economics. It departs from the existing literature in three ways. First, the paper assesses growth patterns across districts and across places below the district level instead of taking...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012907095
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012908754
Persistent link: https://ebvufind01.dmz1.zbw.eu/10011379183
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,...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012840799
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014548427
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...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012571463
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,...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012229757
Many governments in developing countries have pursued policies targeting specific geographic areas over the past several decades. However, only a few have rigorously evaluated the causal impact of these interventions. This paper examines the effectiveness of a prominent place-based policy in...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012434382