In recent evaluations, the Multidimensional Poverty Index (MPI), known for measuring poverty’s multifaceted nature, has come under scrutiny for its methodological and conceptual inconsistencies, particularly during the NDA’s tenure. Esteemed for its comprehensive approach, the MPI assesses deprivation across health, education, and living standards. However, recent data from 2023 showing a reduction in India’s MPI values from 24.85% to 14.96% within four years has raised doubts. This sharp decline, suggesting a rapid pace of poverty alleviation, seems to overlook the socioeconomic upheavals caused by the COVID-19 pandemic. Critics call for a reevaluation of the MPI’s calculation mechanisms to include overlooked dimensions such as social exclusion and environmental degradation.
This editorial is highly relevant for UPSC aspirants as it delves into the complexities of the Multidimensional Poverty Index (MPI) and its broader implications in understanding poverty beyond mere income measures.
The Multidimensional Poverty Index (MPI) has become a central topic in national discourse, extending beyond academic discussions to influence policy-making. This conversation is critical as it evaluates the methodologies used to assess poverty and challenges traditional income-based metrics.
The critique of MPI’s methodology highlights the need for ongoing refinement to better represent the realities of those living in deprivation.
The omission of the COVID-19 pandemic’s impact in poverty metrics like the MPI raises significant concerns about the accuracy and relevance of these measures during such unprecedented times.
The critique and discussion surrounding the MPI and its methodology highlight the urgent need for a nuanced and accurate measure of poverty. For UPSC aspirants, understanding and addressing these challenges is pivotal in shaping their future roles in policy-making and governance.
This discussion is a call to action for UPSC aspirants to engage deeply with the complexities of poverty measurement and to advocate for more dynamic and inclusive measures that capture the multifaceted nature of deprivation.
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