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Discuss the significance of correct estimation of “extreme poverty” in India. What are the challenges associated with it?

Kartavya Desk Staff

Topic: Indian Economy / Poverty Measurement / Sustainable Development Goals (SDGs)

Topic: Indian Economy / Poverty Measurement / Sustainable Development Goals (SDGs)

Q5. Discuss the significance of correct estimation of “extreme poverty” in India. What are the challenges associated with it? (250 Words)

Difficulty Level: Moderate

Reference: Financial Express

Why the question? The government aims to eradicate extreme poverty by 2030 and is developing a national indicator to measure it. This has become crucial as India currently lacks an official poverty line and is transitioning from income-based to multi-dimensional poverty estimates. Key Demand of the Question: Discuss the importance of a national indicator for extreme poverty and outline the challenges in poverty estimation in India. Structure of the Answer: Introduction: Briefly introduce the concept of extreme poverty and the government’s goal to eradicate it by 2030. Body: Significance of Developing a National Indicator: Policy Making: Accurate measurement of extreme poverty is essential for designing effective poverty alleviation policies. Resource Allocation: Helps in better targeting of welfare schemes and resources. Monitoring Progress: A national indicator aids in tracking progress towards SDG targets and ensuring accountability. International Standards: Aligns India with global standards and improves its credibility on the international stage. Challenges in Poverty Estimation: Varying Definitions: Different thresholds and definitions (e.g., income-based vs. multi-dimensional) create inconsistencies. Data Accuracy: Issues with data collection, outdated surveys, and the lack of regular updates. Multi-dimensional Nature: Capturing all facets of poverty such as health, education, and living standards is complex. Pandemic Impact: COVID-19 has caused significant setbacks, making previous estimates less reliable. Regional Disparities: Variations in poverty levels across states complicate the creation of a uniform poverty line. Conclusion: Conclude with a way forward

Why the question?

The government aims to eradicate extreme poverty by 2030 and is developing a national indicator to measure it. This has become crucial as India currently lacks an official poverty line and is transitioning from income-based to multi-dimensional poverty estimates.

Key Demand of the Question:

Discuss the importance of a national indicator for extreme poverty and outline the challenges in poverty estimation in India.

Structure of the Answer:

Introduction: Briefly introduce the concept of extreme poverty and the government’s goal to eradicate it by 2030.

Significance of Developing a National Indicator: Policy Making: Accurate measurement of extreme poverty is essential for designing effective poverty alleviation policies. Resource Allocation: Helps in better targeting of welfare schemes and resources. Monitoring Progress: A national indicator aids in tracking progress towards SDG targets and ensuring accountability. International Standards: Aligns India with global standards and improves its credibility on the international stage.

Policy Making: Accurate measurement of extreme poverty is essential for designing effective poverty alleviation policies.

Resource Allocation: Helps in better targeting of welfare schemes and resources.

Monitoring Progress: A national indicator aids in tracking progress towards SDG targets and ensuring accountability.

International Standards: Aligns India with global standards and improves its credibility on the international stage.

Challenges in Poverty Estimation: Varying Definitions: Different thresholds and definitions (e.g., income-based vs. multi-dimensional) create inconsistencies. Data Accuracy: Issues with data collection, outdated surveys, and the lack of regular updates. Multi-dimensional Nature: Capturing all facets of poverty such as health, education, and living standards is complex. Pandemic Impact: COVID-19 has caused significant setbacks, making previous estimates less reliable. Regional Disparities: Variations in poverty levels across states complicate the creation of a uniform poverty line.

Varying Definitions: Different thresholds and definitions (e.g., income-based vs. multi-dimensional) create inconsistencies.

Data Accuracy: Issues with data collection, outdated surveys, and the lack of regular updates.

Multi-dimensional Nature: Capturing all facets of poverty such as health, education, and living standards is complex.

Pandemic Impact: COVID-19 has caused significant setbacks, making previous estimates less reliable.

Regional Disparities: Variations in poverty levels across states complicate the creation of a uniform poverty line.

Conclusion:

Conclude with a way forward

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