Question Q.11GS2GS2

How can poverty assessment help facilitate more data-driven program design, implementation and monitoring of poverty-alleviation schemes?

Main Body

According to multi-dimensional Poverty Index, 16.7% of India's population is multidimensionally poor. Poverty assessment will facilitate more data-driven program design, implementation and monitoring of poverty-alleviation schemes. NITI Aayog has come up with its own Multidimensional Poverty Index on the line of UN International - MPI. Methodology: MPIStandard of livingCooking fuel, Housing, Sanitation, AssetsHealthChild mortality, Life expectancyEducationExpected year of schooling, Enrolment ratio.

By utilising this methodology, it can find out the head-count ratio and extent of poverty. Significance: - Giving decentralised data at state & district level - Giving importance of non-income measures like education, health - Help in formulating comprehensive poverty alleviation schemes - Data on both incidence and extent of poverty - Data-driven formulation and monitoring of schemes. Need is to have regular assessment and effective implementation of schemes like Poslan Abhiyaan, RTE (Right to Education), VTIJAY (Vijay Yaan), Swach Bharat.

154 words1 paragraphs

Conclusion

Effective implementation of poverty alleviation schemes like Poslan Abhiyaan, RTE, Swach Bharat schemes is critical for addressing multidimensional poverty.

19 words

Diagram

Hierarchical diagram showing MPI branching into three main categories: Standard of Living (with sub-items: Cooking fuel, Housing, Sanitation, Assets), Health (with sub-items: Child mortality, Life expectancy), and Education (with sub-items: Expected year of schooling, Enrolment ratio)

Open original scan

Page 13

Topper

Nidhi Goyal

AIR 912022

Subject & Paper

GS2GS2

Topic

Issues relating to Poverty and Hunger

Paradox of Poverty

Multidimensional Poverty Index and Methodology

Writing Stats

173

Total words

Paragraphs

analytical

Tone