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How effective was the restaurant restraining order against COVID-19? A nighttime light study in Japan

Author

Listed:
  • Hayakawa, Kazunobu
  • Keola, Souknilanh
  • Urata, Shujiro

Abstract

In this study, we examined the effect of the order of shortening business hours of the restaurants, which are considered a major source of spreading the novel coronavirus (COVID-19). Specifically, we empirically investigated how this order changed the nighttime light (NTL) in regions with restaurants in the Greater Tokyo area from January to June 2020. Several local governments in Japan had implemented the order to combat COVID-19. Our investigation found evidence that the order significantly decreased the NTL in regions with many restaurants, indicating the effectiveness of the order and its negative economic/business impacts on restaurants. Notably, this order increased the NTL in other areas, such as in residential areas.

Suggested Citation

  • Hayakawa, Kazunobu & Keola, Souknilanh & Urata, Shujiro, 2021. "How effective was the restaurant restraining order against COVID-19? A nighttime light study in Japan," IDE Discussion Papers 822, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    • Handle: RePEc:jet:dpaper:dpaper822
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    File URL: https://ir.ide.go.jp/record/52232/files/IDP000822_001.pdf
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    Cited by:

    1. is not listed on IDEAS
    2. Ueda, Kozo, 2024. "Household spending responses to two-time COVID-19 payments," Japan and the World Economy, Elsevier, vol. 72(C).
    3. Wang, Yupeng & Shimokawa, Satoru, 2024. "A trade-off between lives and the economy? Subsidizing dining out under the COVID-19 pandemic in Japan," Food Policy, Elsevier, vol. 124(C).
    4. Kikuchi, Junichi & Nagao, Ryoya & Nakazono, Yoshiyuki, 2023. "Expenditure responses to the COVID-19 pandemic," Japan and the World Economy, Elsevier, vol. 65(C).
    5. Esaka, Taro & Fujii, Takao, 2022. "Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).

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    Keywords

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    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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