2020
DOI: 10.5089/9781513554488.001
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In the Eye of the Storm Firms and Capital Destruction in India

Abstract: This paper examines the response of firms to capital destruction, using a new measure of firm exposure to tropical storms as a negative exogenous shock on firms’ capital stock. Drawing on a panel of Indian manufacturing firms between 1995 and 2006, we establish that, depending on their strength, storms destroy up to 75.3% of the fixed assets of the median firm (in terms of its productivity and industry performance). We quantify the response of firm sales within and across industries and find effects akin to Sc… Show more

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Cited by 1 publication
(2 citation statements)
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References 44 publications
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“…where w dh is the maximum wind speed (in knots) observed at district d's centroid during cyclone h. To compute w dh we use the values given by storms' best tracks from the National Oceanic and Atmospheric Administration (NOAA) Tropical Prediction Center and feed them to Deppermann (1947) wind field model, as we explain in more details in Appendix A. w max represents the maximum wind speed in the sample and the number 33 corresponds to the Saffir-Simpson scale threshold above which winds qualify as tropical storm. This threshold is reasonable for developing countries (Pelli et al, 2022). 8 x dh ∈ (0, 1), with 0 indicating the absence of winds above the threshold and 1 indicating that the district was exposed to maximum wind speeds.…”
Section: District Exposure To Tropical Stormsmentioning
confidence: 94%
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“…where w dh is the maximum wind speed (in knots) observed at district d's centroid during cyclone h. To compute w dh we use the values given by storms' best tracks from the National Oceanic and Atmospheric Administration (NOAA) Tropical Prediction Center and feed them to Deppermann (1947) wind field model, as we explain in more details in Appendix A. w max represents the maximum wind speed in the sample and the number 33 corresponds to the Saffir-Simpson scale threshold above which winds qualify as tropical storm. This threshold is reasonable for developing countries (Pelli et al, 2022). 8 x dh ∈ (0, 1), with 0 indicating the absence of winds above the threshold and 1 indicating that the district was exposed to maximum wind speeds.…”
Section: District Exposure To Tropical Stormsmentioning
confidence: 94%
“…While in India a threshold of 33 knots is high enough for winds to cause serious damages on infrastructures (e.g. Pelli et al, 2022), studies in the US have used higher thresholds (e.g. Emanuel, 2011).…”
Section: Alternative Definitions Of Cyclone Exposurementioning
confidence: 99%