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Temperature Increase, Labor Supply And Cost Of Adaptation In Developing Economies: Evidence On Urban Workers In Informal Sectors

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  • SAUDAMINI DAS

    (Institute of Economic Growth, Delhi 11007, India)

Abstract

Heat wave impact on labor supply is less researched, though workers in exposed occupations have been seriously impacted in recent years, especially in developing economies. The paper identifies labor reallocation and coping strategies of poor urban workers on a heat wave day compared to a normal summer day by surveying informal sector workers who work in the open. The workers are found to forgo 1.19 h of work time and 0.46 h of family time and use these extra 1.65 h to rest more on heat wave days to adapt to heat stress. They resort to other adaptations like eating appropriate food with high water content, keeping their house cool by repeated wiping of floor using cooling ingredients, covering the roof of their living space with paddy straw, putting thick grass curtains, using fans for longer hours etc. These adaptations including the work time loss costs around INR 195 per heat wave day to a household, which is, on average, 2.7% of their monthly income. The paper approximates the private adaptation costs of informal sector workers to heat waves.

Suggested Citation

  • Saudamini Das, 2015. "Temperature Increase, Labor Supply And Cost Of Adaptation In Developing Economies: Evidence On Urban Workers In Informal Sectors," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 1-24.
  • Handle: RePEc:wsi:ccexxx:v:06:y:2015:i:02:n:s2010007815500074
    DOI: 10.1142/S2010007815500074
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    References listed on IDEAS

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    1. Wolff, Hendrik & Makino, Momoe, 2012. "Extending Becker's Time Allocation Theory to Model Continuous Time Blocks: Evidence from Daylight Saving Time," IZA Discussion Papers 6787, Institute of Labor Economics (IZA).
    2. Joshua Graff Zivin & Matthew Neidell, 2014. "Temperature and the Allocation of Time: Implications for Climate Change," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 1-26.
    3. Geoffrey Heal & Jisung Park, 2013. "Feeling the Heat: Temperature, Physiology & the Wealth of Nations," NBER Working Papers 19725, National Bureau of Economic Research, Inc.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
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    Cited by:

    1. Mengzhen Zhao & Jason Kai Wei Lee & Tord Kjellstrom & Wenjia Cai, 2021. "Assessment of the economic impact of heat-related labor productivity loss: a systematic review," Climatic Change, Springer, vol. 167(1), pages 1-16, July.
    2. Satarupa Chakravarty & Sukanya Das & Saudamini Das, 2021. "Unreliable Public Water Supply and Coping Mechanisms of Low-Income Households in Delhi," IEG Working Papers 448, Institute of Economic Growth.
    3. Das, Saudamini, 2016. "Television is More Effective in Bringing Behavioral Change: Evidence from Heat-Wave Awareness Campaign in India," World Development, Elsevier, vol. 88(C), pages 107-121.

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    More about this item

    Keywords

    Adaptation; adaptation cost; climate change; heat waves; labor supply; time allocation; urban workers; J22; J28; Q54; Q58;
    All these keywords.

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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