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

Author

Listed:
  • Kota Ogasawara

    (Department of Industrial Engineering and Economics, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan)

  • Shinichiro Shirota

    (Department of Statistical Science, Duke University, Durham, USA)

  • Genya Kobayashi

    (Faculty of Law, Politics, and Economics, Chiba University, Chiba, Japan)

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, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 12(1), pages 1-31, January.
    • Handle: RePEc:afc:cliome:v:12:y:2018:i:1:p:1-31
    DOI: 10.1007/s11698-016-0148-3
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Daniel Gallardo-Albarrán, 2024. "The Global Sanitary Revolution in Historical Perspective," Working Papers 0247, European Historical Economics Society (EHES).
    7. 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.
    8. 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).
    9. 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).
    10. 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.

    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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