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Effects of the State of Emergency during the COVID-19 Pandemic on Tokyo Vegetable Markets

Author

Listed:
  • Kentaka Aruga

    (Graduate School of Humanities and Social Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama 338-8570, Japan)

  • Md. Monirul Islam

    (Department of Agricultural Economics, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh
    Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan)

  • Arifa Jannat

    (Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan
    Institute of Agribusiness and Development Studies, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh)

Abstract

The state of emergency (SOE) period in Tokyo under the COVID-19 pandemic restricted people to staying in their homes and changed human mobility, which has impacted the major agricultural markets in Tokyo. In this research, we analyzed how the changes in people’s staying-at-home behaviors during the four SOE periods (7 April 2020–28 October 2021) in Tokyo affected the daily market prices of cabbage, tomato, Japanese radish, carrot, and potato. Using the autoregressive distributed lag (ARDL) model, the study reveals that all the investigated vegetables except potatoes have a long-term relationship with the staying-at-home index. The long-term influence of staying-at-home behaviors on cabbage, tomato, radish, and carrot markets during the early SOE periods had a negative impact on these vegetable prices, indicating that an increase in the hours of staying-at-home as related to SOE measures might have decreased the demand for these vegetables. The negative impact of the stay-at-home index on vegetable prices lessened in the fourth SOE period, likely because more people did not remain in their homes. Moreover, the study findings reveal that, compared to less perishable vegetables, the price of perishable vegetables is more likely to have been affected by human mobility constraints during the pandemic. Therefore, agricultural policymakers should consider providing subsidies to producers based on the negative influence on market prices of perishable and less perishable vegetables in pandemic situations, such as COVID-19.

Suggested Citation

  • Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2022. "Effects of the State of Emergency during the COVID-19 Pandemic on Tokyo Vegetable Markets," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9719-:d:882461
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    References listed on IDEAS

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    1. Jianxiong Chen & Chung-Cheng Yang, 2021. "How COVID-19 Affects Agricultural Food Sales: Based on the Perspective of China’s Agricultural Listed Companies’ Financial Statements," Agriculture, MDPI, vol. 11(12), pages 1-14, December.
    2. Kentaka Aruga & Md. Monirul Islam & Arifa Jannat, 2021. "Does Staying at Home during the COVID-19 Pandemic Help Reduce CO 2 Emissions?," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Felix Chari & Ozwell Muzinda & Cawe Novukela & Bethuel Sibongiseni Ngcamu, 2022. "Pandemic outbreaks and food supply chains in developing countries: A case of COVID-19 in Zimbabwe," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2026188-202, December.
    5. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    6. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. Reardon, Thomas & Bellemare, Marc F. & Zilberman, David, 2020. "How COVID-19 may disrupt food supply chains in developing countries," IFPRI book chapters, in: COVID-19 and global food security, chapter 17, pages 78-80, International Food Policy Research Institute (IFPRI).
    9. Sube Singh & Ramesh Kumar & Rohit Panchal & Manoj Kumar Tiwari, 2021. "Impact of COVID-19 on logistics systems and disruptions in food supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 1993-2008, April.
    10. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    11. Honorata Nyga-Łukaszewska & Kentaka Aruga, 2020. "Energy Prices and COVID-Immunity: The Case of Crude Oil and Natural Gas Prices in the US and Japan," Energies, MDPI, vol. 13(23), pages 1-17, November.
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