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Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach

Author

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  • Kota Ogasawara

    (Tokyo Institute of Technology)

  • Shinichiro Shirota

    (Duke University)

  • Genya Kobayashi

    (Chiba University)

Abstract

Recent studies have found that modern water supply systems played an important role in mitigating the mortality risks in major US cities in the early twentieth century. Modern water supply systems were installed also in Japanese cities during the interwar period. This study examines how the modern water supply system in Tokyo City reduced mortality risks in the interwar period. By employing a Bayesian disease mapping approach with a block-level lattice dataset of Tokyo for 1930, we found that wider access to purified water through water supply systems played an important role in mitigating mortality risks during the study period. Our estimation results show that clean water accounted for approximately 41.3 and 34.9 % of improvements in crude and child death rates, respectively, between 1921 and 1937 in Tokyo.

Suggested Citation

  • Kota Ogasawara & Shinichiro Shirota & Genya Kobayashi, 2018. "Public health improvements and mortality in interwar Tokyo: a Bayesian disease mapping approach," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(1), pages 1-31, January.
    • Handle: RePEc:spr:cliomt:v:12:y:2018:i:1:d:10.1007_s11698-016-0148-3
    DOI: 10.1007/s11698-016-0148-3
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    1. Chib, Siddhartha, 2001. "Markov chain Monte Carlo methods: computation and inference," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 57, pages 3569-3649, Elsevier.
    2. Nathan Nunn & Nancy Qian, 2011. "The Potato's Contribution to Population and Urbanization: Evidence From A Historical Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 593-650.
    3. James S. Hodges & Bradley P. Carlin & Qiao Fan, 2003. "On the Precision of the Conditionally Autoregressive Prior in Spatial Models," Biometrics, The International Biometric Society, vol. 59(2), pages 317-322, June.
    4. Zhang, Jing, 2012. "The impact of water quality on health: Evidence from the drinking water infrastructure program in rural China," Journal of Health Economics, Elsevier, vol. 31(1), pages 122-134.
    5. Bowblis, John R., 2010. "The Decline in Infant Death Rates, 1878–1913: The Role of Early Sickness Insurance Programs," The Journal of Economic History, Cambridge University Press, vol. 70(01), pages 221-232, March.
    6. Winegarden, C. R. & Murray, John E., 1998. "The Contributions of Early Health-Insurance Programs to Mortality Declines in Pre-World War I Europe: Evidence from Fixed-Effects Models," Explorations in Economic History, Elsevier, vol. 35(4), pages 431-446, October.
    7. David Cutler & Grant Miller, 2005. "The role of public health improvements in health advances: The twentieth-century United States," Demography, Springer;Population Association of America (PAA), vol. 42(1), pages 1-22, February.
    8. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.
    9. Kesztenbaum, Lionel & Rosenthal, Jean-Laurent, 2017. "Sewers’ diffusion and the decline of mortality: The case of Paris, 1880–1914," Journal of Urban Economics, Elsevier, vol. 98(C), pages 174-186.
    10. Troesken, Werner, 2001. "Race, Disease, And The Provision Of Water In American Cities, 1889–1921," The Journal of Economic History, Cambridge University Press, vol. 61(3), pages 750-776, September.
    11. Kota Ogasawara & Genya Kobayashi, 2015. "The impact of social workers on infant mortality in inter-war Tokyo: Bayesian dynamic panel quantile regression with endogenous variables," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 9(1), pages 97-130, January.
    12. Winegarden, C. R. & Murray, John E., 2004. "Effects of early health-insurance programs on European mortality and fertility trends," Social Science & Medicine, Elsevier, vol. 58(10), pages 1825-1836, May.
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    Cited by:

    1. Cuina Zhang & Ruobing Li & Yun Xia & Yixing Yuan & Hasan Dinçer & Serhat Yüksel, 2020. "Analysis of Environmental Activities for Developing Public Health Investments and Policies: A Comparative Study with Structure Equation and Interval Type 2 Fuzzy Hybrid Models," IJERPH, MDPI, vol. 17(6), pages 1-23, March.
    2. Anderson, D. Mark & Charles, Kerwin Kofi & Rees, Daniel I. & Wang, Tianyi, 2019. "Water Purification Efforts and the Black-White Infant Mortality Gap, 1906-1938," IZA Discussion Papers 12783, Institute of Labor Economics (IZA).
    3. Schneider, Eric B. & Ogasawara, Kota, 2018. "Disease and child growth in industrialising Japan: Critical windows and the growth pattern, 1917–39," Explorations in Economic History, Elsevier, vol. 69(C), pages 64-80.
    4. Kota Ogasawara & Ian Gazeley & Eric B. Schneider, 2020. "Nutrition, Crowding, And Disease Among Low‐Income Households In Tokyo In 1930," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 60(1), pages 73-104, March.
    5. Tatsuki Inoue & Kota Ogasawara, 2018. "Chain effects of clean water: The Mills-Reincke phenomenon in early twentieth-century Japan," Papers 1805.00875, arXiv.org, revised Aug 2019.
    6. Anderson, D. Mark & Charles, Kerwin Kofi & Rees, Daniel I. & Wang, Tianyi, 2021. "Water purification efforts and the black‐white infant mortality gap, 1906–1938," Journal of Urban Economics, Elsevier, vol. 122(C).
    7. D. Mark Anderson & Kerwin Kofi Charles & Daniel I. Rees & Tianyi Wang, 2019. "Water Purification Efforts and the Black-White Infant Mortality Gap, 1906-1938," Working Papers 2019-075, Human Capital and Economic Opportunity Working Group.
    8. Gallardo Albarrán, Daniel, 2024. "The Global Sanitary Revolution in Historical Perspective," CEPR Discussion Papers 18754, C.E.P.R. Discussion Papers.
    9. D. Mark Anderson & Kerwin Kofi Charles & Daniel I. Rees & Tianyi Wang, 2019. "Water Purification Efforts and the Black-White Infant Mortality Gap, 1906-1938," NBER Working Papers 26489, National Bureau of Economic Research, Inc.
    10. Ogasawara, Kota & Matsushita, Yukitoshi, 2018. "Public health and multiple-phase mortality decline: Evidence from industrializing Japan," Economics & Human Biology, Elsevier, vol. 29(C), pages 198-210.

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    More about this item

    Keywords

    Bayesian disease mapping; Public health; Modern water supply system; Mortality rates;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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