2012
DOI: 10.1080/00220388.2011.579114
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Partition, Migration, and Jute Cultivation in India

Abstract: Abstract. Climate change is expected to displace millions of involuntary migrants in Bangladesh. We draw on history to show that these "environmental refugees" can play a positive role in the regions that receive them by looking at the partition of India. We use an instrumental variables (IV) strategy to show that the migrants played a major role in India's take-up of jute cultivation. Our estimates suggest that migrants fully explain post-Partition jute cultivation. Consistent with migrants bringing jute-spec… Show more

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Cited by 7 publications
(3 citation statements)
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References 25 publications
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“…https://orcid.org/0000-0002-3932-7700 ENDNOTES 1 Bharadwaj and Fenske (2012) examine the effect of partition on the jute market.…”
Section: Susan Wolcottmentioning
confidence: 99%
“…https://orcid.org/0000-0002-3932-7700 ENDNOTES 1 Bharadwaj and Fenske (2012) examine the effect of partition on the jute market.…”
Section: Susan Wolcottmentioning
confidence: 99%
“…was based on differential economic and/or educational outcomes. The border was drawn ostensibly along religious lines(Bharadwaj et al 2008;Bharadwaj and Fenske 2012). It is well known that the Muslim majority provinces of pre-partition India towards the North-West and West were demanded as a separate homeland for Muslims by the political party Muslim League.…”
mentioning
confidence: 99%
“…It is well known that the Muslim majority provinces of pre-partition India towards the North-West and West were demanded as a separate homeland for Muslims by the political party Muslim League. In fact, distance from the border has been used as an instrument for research on agricultural productivity of migrants(Bharadwaj and Fenske 2012) which suggests that economic outcomes of interest such as productivity and individual ability are exogenous to distance from the border that was carved in 1947.Another minor point of concern could be that the differential rate of migration across different districts is driving the results. For instance, the district of Karachi is an outlier in the sense that it has more than 20% of its population classified as migrants in my sample Bharadwaj et al (2008).…”
mentioning
confidence: 99%