<scp>COVID</scp>
            ‐19 and India's vulnerable indigenous populations

Agoramoorthy, Govindasamy; Hsu, Minna J.

doi:10.1002/ajhb.23608

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…Our findings suggest that government subsidies are effective for specific groups of rural households, providing novel evidence on the research about government policies for vulnerable groups during the COVID-19 crisis (Varshney et al. , 2021; Agoramoorthy and Hsu, 2021; Wang et al. , 2021).…”

Section: Introductionmentioning

confidence: 68%

“…In addition, government subsidies effectively reduce real and expected losses for low-income rural households. Our findings suggest that government subsidies are effective for specific groups of rural households, providing novel evidence on the research about government policies for vulnerable groups during the COVID-19 crisis (Varshney et al, 2021;Agoramoorthy and Hsu, 2021;Wang et al, 2021).…”

Section: Introductionmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

“…To alleviate the impact of lockdown, the Chinese Government provided subsidies to vulnerable groups; this helped maintain social stability and supported the implementation of China's zero-COVID policy. Some countries also offer subsidies targeted at vulnerable populations (Agoramoorthy and Hsu, 2021;Wang et al, 2021). Understanding the effectiveness of subsidies is important for governments to be able to support the rural economy during a pandemic or during other major disturbances (for example, natural disasters).…”

Section: Introductionmentioning

confidence: 99%

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Impact of lockdown and government subsidies on rural households at early COVID-19 pandemic in China

Chen

Gao

et al. 2022

CAER

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PurposeGiven the scarcity of data during the early stages of the COVID-19 pandemic in China, the decision-making for non-pharmaceutical policies was mostly based on insufficient evidence. The purpose of this study is to assess the effectiveness of these policies, such as lockdown and government subsidies, on rural households and identify policy implications for China and other countries in dealing with pandemics.Design/methodology/approachThe authors survey 2,408 rural households by telephone from 101 counties across 17 provinces in China during the first stage of the pandemic (March 2020). The authors use the ordered probit model and linear regression model to study the overall impact of policies and then use the quantile regression model and sub-sample regression method to study the heterogeneity of the effects of government policies.FindingsThe authors find that logistics disruption due to lockdown negatively affected rural households. Obstructed logistics is associated with a more significant loss for high-income households, while its impact on the loss expectation of low-income households is more severe. Breeding and other industries such as transport and sales suffer more from logistics than cultivation. The impact of logistics on intensive agricultural entities is more serious than that on professional farms. The government subsidy is more effective at reducing loss for low-income households. Lockdown and government subsidies have shown heterogeneous impacts on rural households.Practical implicationsThe overall economic losses experienced by rural households in the early stages of the pandemic are controllable. The government policies of logistics and subsidies should target specific groups.Originality/valueThe authors evaluate the economic impacts of lockdown and government subsidies on rural households and show their heterogeneity among different groups. The authors further demonstrate the policy effectiveness in supporting rural households during the early stages of the pandemic and provide future policy guidance on major public health event.

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Section: Introductionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of lockdown and government subsidies on rural households at early COVID-19 pandemic in China

Chen

Gao

et al. 2022

CAER

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“…Additionally, there is a deficiency in prompt awareness among individuals to effectively address the COVID-19 pandemic, especially the vulnerable population in remote areas 5 . As a result, the tribal population is facing a greater degree of vulnerability to the COVID-19 pandemic in comparison to other communities 6 .…”

Section: Introductionmentioning

confidence: 99%

The Totos of India: Socioeconomic and Demographic Structure of a Particularly Vulnerable Tribe

Banerjee,

Murry

2024

JEOH

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Background: Indigenous populations are more vulnerable to the COVID-19 pandemic compared to the macroeconomic population. Due to poor social connections, the level of education, socioeconomic advancement, and sickness risk of the tribal population of India were affected. Thus, indigenous cultures are more susceptible to COVID-19. The present research aims to explore the population structure, socio-economic condition, and COVID-19 vaccination status among the Toto population of Alipurduar, West Bengal. Methods: The study used a cross-sectional design to collect household data among the Totos (PVTG), a vanishing sub-Himalayan population. The entire Toto community, comprising 294 households with 1374 individuals, was covered in Totopara. Data were collected through a pre-tested, semi-structured schedule and analyzed using Stata 14. Results: Demographic analysis has revealed a sharp decline in the sex ratio and decadal growth rate compared to the 2011 census. From the multiple logistic regression, it has been found that unmarried people were less likely to get fully vaccinated compared to married individuals. The employed population was 1.97 times more fully vaccinated compared to unemployed individuals. Similarly, smartphone non-users were less likely to get fully vaccinated and partially vaccinated compared to those individuals who do possess smartphones (p<0.001). Conclusion: Therefore, inactive government initiatives, low fertility, a lack of community involvement, and the policy inactivity of local institutions are the main causes of negative decadal growth. It is believed that participatory implementation is essential to improving awareness of neglect as well as the acceptance rate of public health care services.

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COVID ‐19 and India's vulnerable indigenous populations

Agoramoorthy

Hsu

2021

Am J Hum Biol

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COVID ‐19 and India's vulnerable indigenous populations

Cited by 8 publications

References 12 publications

Impact of lockdown and government subsidies on rural households at early COVID-19 pandemic in China

Impact of lockdown and government subsidies on rural households at early COVID-19 pandemic in China

The Totos of India: Socioeconomic and Demographic Structure of a Particularly Vulnerable Tribe

COVID ‐19 and India's vulnerable indigenous populations

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