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        The Impact of COVID-19 Lockdown on Employment and Food Security: Empirical Evidence from Indonesia with Social Safety Nets

        Pratiwi Ira Eka,유태환 연세대학교(미래캠퍼스) 빈곤문제국제개발연구원 2023 地域發展硏究 Vol.32 No.1

        This study examined the impact of COVID-19 lockdown on employment and food security in Indonesia. We adopted the World Bank’s high-frequency monitoring data for Indonesian households and used the logit and probit regression methods for analyses. This study confirmed that the COVID-19 lockdown policy has no significant impact on employment, regardless of the sizeable number of households that lost their jobs during the early stage of the pandemic. However, implementing lockdown policy had a significant negative effect on food security, leading to a 2.8 percentage-point decrease in the probability of food security of the households located in the lockdown area. Further analysis revealed that the social safety nets received by the households could increase the probability of employment during lockdown in the early stage of the COVID-19 pandemic by 4.7 percentage points. Meanwhile, households that received social safety nets are considered vulnerable to acquittance from food insecurity during the lockdown of the COVID-19 pandemic.

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        The Impacts of Climate Variability on Household Consumption: Evidence Based on Village Weather Data in Indonesia

        Pratiwi Ira Eka,박복영 대외경제정책연구원 2023 East Asian Economic Review Vol.27 No.4

        This study investigates the impacts of long-term climate variability on household consumption in Indonesia, a country highly vulnerable to climate change. The analysis combines household survey data from nearly 5,998 families with satellite-derived weather data from NASA POWER spanning 30 years. We use the long-term variability in temperature and precipitation as a proxy for climate change. This study examines the impact of climate change which proceeds over the long term, unlike previous studies concerning one-off or short-term climate events. In addition, using satellite data enhances the accuracy of households’ exposure to climate variability. The analysis finds that households in a village with higher temperature and precipitation variability significantly consume less food. This implies that households more exposed to climate change are at higher risk of malnutrition in developing countries. This study has a limitation that it cannot rule out the potential endogeneity of choosing a climate vulnerable residential location due to economic poorness.

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