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What Type of Households in Mongolia Are Most Hit by COVID-19?

Author

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  • Ganchimeg Gombodorj

    (Karoly Ihrig Doctoral School of Management and Business, University of Debrecen, 4002 Debrecen, Hungary)

  • Károly Pető

    (Institute of Rural Development, Regional Economy and Tourism Management, Faculty of Economics and Business, University of Debrecen, 4002 Debrecen, Hungary)

Abstract

The study aims to validate the measures taken by the government of Mongolia against COVID-19 and to analyse the negative impacts of COVID-19 on the livelihood of different types of households. The survey covers 362 households consisting of five different types, namely, apartment households, ger district households, herder households, vegetable growing households, and small farmer households. Principal component analysis is used to reduce the number of variables to a few factors that best explain the variation in the variables. Two to three components were found from the principal component analyses that describe (i) government policy, (ii) challenges due to COVID-19, and (iii) risk and vulnerability that occurred due to COVID-19. Multiple regression models attributed by the household’s type were used to analyse the impact of the selected variables on the households’ income. According to the regression results, herding households are the least affected, compared to the other four types of households. The government measures to mitigate the negative impacts of COVID-19 have better results for apartment households and ger district households. Rural households are less affected and seem to be more resilient to COVID-19 shocks than other households.

Suggested Citation

  • Ganchimeg Gombodorj & Károly Pető, 2022. "What Type of Households in Mongolia Are Most Hit by COVID-19?," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3557-:d:773574
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