Abstract: A polarised society like that of the Vulnerable Tribal Groups suffer profound ineffective social capital as well as blocked pathways of upward mobility in the society. This leads to a vicious poverty trap. The inception of this pandemic has cost these PVTGs even more profound impact. As the lands inhabited by Indigenous Peoples from time immemorial are the only areas in India with healthy forests, rich biodiversity and other natural riches. Their very own ancestral lands are promulgated as the specific target of developing India’s speedy economic development schemes and programs during the COVID-19 lockdown, Indigenous people then bear the brunt of the most serious challenges by the COVID-19 pandemic.
To explore these the connotations, this paper uses a mix of quantitative and cross examining qualitative factors using statistical tools to reach a final conclusion. This would be through employing the newfound econometric analysis of the parameters.
Qualitative analysis through patterns of mobility, and confirms the continuation of this pattern of limited upward mobility and a low-level poverty trap.
In addition, both parameters would permit a closer look at the crucial role played by social relationships which are often missed out by the profit-surplus entities through adequate evidence of active social instruments of kinship, descent, capital, etc. This would help in delineating an economic sense of these primitive societies to sociability amongst the tribals engaging in labour markets in the urban regions, fostering products in ‘Mandis’ and contract schemes with the government and private entities, elimination of the polarised economic legacy of their ‘savage’ ‘barbaric image’ will ultimately require more proactive efforts.
Keywords: Particularly vulnerable Tribal Groups, Indigenous Tribes, Labour Markets, Agriculture Productivity, Low Level Poverty Trap.
Title: Particularly Vulnerable Tribal Group (PVTGs) Landscape amidst COVID-19
Author: SHONAL RATH
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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