D
Deepak Malghan
Researcher at Indian Institute of Management Bangalore
Publications - 33
Citations - 189
Deepak Malghan is an academic researcher from Indian Institute of Management Bangalore. The author has contributed to research in topics: Caste & Inequality. The author has an hindex of 7, co-authored 30 publications receiving 134 citations. Previous affiliations of Deepak Malghan include Indian Institute of Management Ahmedabad.
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Isolated by Caste: Neighbourhood-Scale Residential Segregation in Indian Metros
TL;DR: In this paper, the authors present the first ever neighbourhood-scale portrait of caste-based residential segregation in Indian cities, using 2011 enumeration block (EB) level census data for five major cities in India.
Social Ecology of Domestic Water Use in Bangalore
TL;DR: In this paper, the authors developed a metabolic framework for domestic water use in Bangalore, one of the fastest growing urban agglomerations in India, and showed that a spatially explicit understanding of consumption patterns is crucial to addressing three central aspects of the water conundrum.
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On the Relationship between Scale, Allocation, and Distribution
TL;DR: This paper developed a formal framework to investigate the relationship between ecological economics' concept of scale, and the more traditional concerns of allocation, and distribution, and developed a simple dynamic model relating these three efficiencies.
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A dimensionally consistent aggregation framework for biophysical metrics
TL;DR: In this paper, the authors developed a formal representation of the economy-ecosystem interaction problem by distinguishing between stock-flow and fund-flux spaces (Georgescu-Roegen, 1971).
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Fractal urbanism: City size and residential segregation in India
TL;DR: In this article, the authors present the first large-scale snapshot of urban residential segregation in India at the neighborhood-scale, showing that the extent of segregation in the largest metropolitan centers with over ten million residents closely tracks cities that are nearly two orders of magnitude smaller.