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How Do Sectoral Employment Structures Affect Mobility during the COVID-19 Pandemic?

Author

Listed:
  • Donny Pasaribu

    (The Australian National University)

  • Deasy Pane

    (The National Development Planning Agency, Indonesia)

  • Yudi Suwarna

    (Jakarta Investment Center, Indonesia)

Abstract

As people’s mobility determines the spread of COVID-19 virus, this paper scrutinises factors that drive their mobility responses during the pandemic. Utilising Google mobility data, labour force statistics and daily COVID-19 data, this study finds that mobility changes are induced by various heterogeneous behavioural responses across provinces in Indonesia. Variations in the pre-pandemic labour structure, people’s perception of health risks and local policy settings define the mobility changes. In addition, behavioural responses are larger in the early pandemic phase, indicating the importance of arrangements to manage the situation in the early period.

Suggested Citation

  • Donny Pasaribu & Deasy Pane & Yudi Suwarna, 2021. "How Do Sectoral Employment Structures Affect Mobility during the COVID-19 Pandemic?," Working Papers DP-2021-13, Economic Research Institute for ASEAN and East Asia (ERIA).
    • Handle: RePEc:era:wpaper:dp-2021-13
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    References listed on IDEAS

    as
    1. Askitas, Nikos & Tatsiramos, Konstantinos & Verheyden, Bertrand, 2020. "Lockdown Strategies, Mobility Patterns and COVID-19," IZA Discussion Papers 13293, Institute of Labor Economics (IZA).
    2. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2020. "From the lockdown to the new normal: An analysis of the limitations to individual mobility in Italy following the Covid-19 crisis," Discussion Paper series in Regional Science & Economic Geography 2020-07, Gran Sasso Science Institute, Social Sciences, revised Oct 2020.
    3. Andrea Ascani & Alessandra Faggian & Sandro Montresor, 2021. "The geography of COVID‐19 and the structure of local economies: The case of Italy," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 407-441, March.
    4. Paul J. Burke & Martin D. Siyaranamual, 2019. "No one left behind in Indonesia?," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 55(3), pages 269-293, September.
    5. Durante, Ruben & Guiso, Luigi & Gulino, Giorgio, 2021. "Asocial capital: Civic culture and social distancing during COVID-19," Journal of Public Economics, Elsevier, vol. 194(C).
    6. Asep Suryahadi & Gracia Hadiwidjaja & Sudarno Sumarto, 2012. "Economic growth and poverty reduction in Indonesia before and after the asian financial crisis," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 48(2), pages 209-227, August.
    7. Bargain, Olivier & Aminjonov, Ulugbek, 2020. "Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries," IZA Discussion Papers 13297, Institute of Labor Economics (IZA).
    8. Sarah Xue Dong & Chris Manning, 2017. "Labour-Market Developments at a Time of Heightened Uncertainty," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 53(1), pages 1-25, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    COVID-19; Google mobility; employment structure;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • I19 - Health, Education, and Welfare - - Health - - - Other
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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