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Consumption-Based Poverty Estimates Have Relevance

Relevance: GS1- Population and associated issues, Poverty and developmental issues GS2 - Social Justice GS3- Indian Economy and issues relating to planning, mobilization, of resources, growth, development and employment, Inclusive growth and issues arising from it

(Source: The Hindu, 08/16/2023 )

Click here for Daily Current Affairs

Why in the news?

  • This article discusses issues relating to the Multidimensional Poverty Index(MPI) and that it can not replace National Sample Survey (NSS) consumption-based poverty ratios.
  • According to a recent report by the Niti Aayog on multidimensional poverty, the percentage of the poor in India has declined from 25% in 2015-16 to 15% in 2019-21 with around 135 million being lifted out of poverty in this period.
  • The Global Multidimensional Poverty Index report, 2023 revealed that the incidence of multidimensional poverty dropped from 27.5% in 2015-16 to 16.2% in 2019-21 in India.

National Sample Survey (NSS)

Comparison of Results

  • According to the 2018 report of the Multidimensional Poverty Index, India has made momentous progress in reducing multidimensional poverty.
  • Multidimensional poverty was found to have halved between 2005-06 and 2015-16, falling to 27.5%.
  • This reduced the number of poor people in India by nearly 271 million in this period.
  • Poverty estimates based on consumer expenditure and using the Tendulkar committee methodology indicated that the number of poor people dropped by 137 million between 2004-05 and 2011-12 despite an increase in population.
  • The Rangarajan Committee methodology has revealed that the number of poor people declined by 92 million between 2009-10 and 2011-12.
  • This means that around 46 million people were lifted out of poverty each year which is higher than that of global MPI (in decadal terms).
  • However, the poverty ratios based on the Tendulkar and Rangarajan Committee methodologies are lower than those estimated by global MPI in absolute terms.
  • Poverty based on income or consumption is different from poverty based on education or health.
  • Some of the capabilities which are used in the capabilities approach to poverty measurement may not be tightly linked to the privately purchased consumption basket in terms of which the poverty lines are currently drawn.

Challenges with Multidimensional Poverty Indices

  • Methodological:
    • According to the Expert Group to Review the Methodology for Measuring Poverty (2014), there are concerns over the use of multiple indicators related to their measurability, aggregation across indicators, and use in databases that provide the requisite information at reasonably short intervals.
    • Eg: Child mortality is considered an inadequate indicator as it is population-based and not household-based. This makes the analysis of poverty more difficult.
  • Aggregation:
    • In principle, indicators of poverty should be independent while also relating to the same household to enable easier aggregation.
    • Eg: Access to safe drinking water cannot be aggregated with other indicators such as child mortality.

Comprehensive approach

  • The progress achieved in non-income indicators such as education, health, sanitation, drinking water, and child mortality over time can be assessed using income or consumption poverty-based approaches.
  • However, Deaton and Drèze (2014) claim that expenditure-based poverty estimation must be supplemented with other indicators of living standards such as nutrition, health, education, and environment.
  • While viewing public services as another dimension besides consumption in a multidimensional analysis of poverty is useful, aggregating many relevant but non-corresponding metrics in a single index can be inadequate.
    • Eg: The Human Development Index of the UNDP is an arbitrary unidimensional index and not a meaningful multidimensional conceptualization.
  • Most countries define poverty in terms of income or expenditure whose deficiency is the layman’s understanding of poverty.

Need for changes in surveys

  • Earlier surveys indicate that the poverty ratio declines significantly during a period of high growth.
    • The COVID-19 period was one of slow growth rate which implies that the rate of reduction in the poverty ratio must have declined as well.
    • However, the consumption expenditure survey data which is being conducted this year will have to be released for a proper understanding on the matter.
  • Although most countries have differences in the aggregate consumption estimates according to the National Accounts Statistics (NAS) and NSS data, the difference in India between the NSS and the NAS consumption is widening over time.
    • It has risen from less than 10% in the late 1970s to around 53.1% in 2011-12.
    • This means that the Survey Estimate is only 46.9% of NAS estimates.

Recommendations

  • Integration: Both consumption-based and multidimensional poverty measures have their place. Utilizing them collectively can offer a comprehensive perspective on poverty.
  • Data Improvement: Enhancing data collection methods is crucial to address inconsistencies and improve the accuracy of poverty estimates.
    • The National Statistical Office can introduce measures to improve the collection of data.
  • Policy Insights: A nuanced understanding of poverty through combined approaches aids policymakers in making effective decisions that target various dimensions of deprivation.
  • In addition, there is a need to supplement the results of consumption surveys with a study of the impact of public expenditure on health and education of different expenditure classes.

Multi-dimensional Poverty Index

  • The Global Multidimensional Poverty Index (MPI) is an international measure of acute multidimensional poverty in over 100 developing countries.
  • It acts as a supplement to traditional monetary poverty measures by capturing the acute deprivations in health, education, and living standards faced by people.
  • It was launched in 2010 by the Oxford Poverty and Human Development Initiative and the Human Development Report Office of the UNDP.
  • Dimensions and indicators:
  • Health - Nutrition, Child mortality
  • Education - Years of schooling, school attendance
  • Living Standards - cooking fuel, sanitation, drinking water, electricity, housing, assets.
  • Who is multidimensionally poor: A person who is deprived in one-third or more of the weighted indicators.
  • Those who are deprived of one-half or more of the weighted indicators are considered living in extreme multidimensional poverty.
  • Findings of 2023 report:
  • 1.2 billion people are multidimensionally poor with nearly half living in severe poverty.
  • 593 million of those who are multidimensionally poor are children under 18
  • The number of poor is highest in Sub-Saharan Africa (579 million), followed by South Asia (385 million) which together house 83% of the global poor.

Findings on India

  • India is home to the largest number of poor people in the world (22.8 crores) ahead of Nigeria (9.6 crores).
  • Two-thirds of these people live in households in which at least one person is deprived of nutrition.
  • Reduction in Poverty:
    • India has registered a significant decline of 9.89 percentage points in the number of India's multidimensionally poor from 24.85% in 2015-16 to 14.96% in 2019-21.
    • The MPI value and incidence of poverty have more than halved.
    • 41.5 crore people moved out of poverty in India between 2005-06 and 2019-21.
  • Relative Reduction in Poverty:
    • The relative reduction in poverty (11.9% per annum) between 2015/2016 to 2019/21 was faster than the reduction between 2005/2006 to 2015/2016 (8.1%).
  • State-wise:
    • In absolute terms, Bihar recorded the fastest reduction in MPI value, with the percentage of poor in the state falling from 77.4% (2005-06) to 52.4% (2015-16) and 37.4% (2019-21).
    • The percentage of poor in Bihar fell from 77.4 % in 2005-06 to 52.4 % in 2015-16 and further to 34.7 % in 2019-21.
    • In relative terms, the fastest reduction in poverty was observed in Goa, followed by Jammu and Kashmir, Andhra Pradesh, Chhattisgarh, and Rajasthan respectively.
  • Children:
    • India still has the highest number of poor children in the world.
    • More than one in five children in India is poor compared with around one in seven adults.
  • Urban and rural:
    • Poverty incidence fell from 36.6% to 21.2% between 2015-16 and 2019-2021 in rural areas and from 9.0% to 5.5% in urban areas.
For Niti Aayog’s National Multidimensional Poverty Index, click the link.

(*Click this link to read prelims specific weekly current affairs articles)

FAQs

Question: What is the Human Development Index?

Answer:

HDI or the Human Development Index is a composite index that measures average achievement in human development based on four indicators i.e. life expectancy at birth. expected years of schooling, mean years of schooling, and gross national income (GNI). It was created by Prof. Mehbub Al Haque and Prof. Amartya Sen and is published annually by the United Nations Development Programme.

Question: What is the NSO?

Answer:

The National Statistical Office (NSO) was formed in 2019 through the merging of the National Sample Survey Office and the Central Statistical Office (CSO). It acts as the nodal agency for the planned development of the statistical system in the country.

UPSC Mains Practice Question:
  1. COVID-19 pandemic accelerated class inequalities and poverty in India. Comment. (UPSC GS1 2020)
  2. “An essential condition to eradicate poverty is to liberate the poor from the process of deprivation.” Substantiate this statement with suitable examples. (UPSC GS1 2016)
  3. Though there have been several different estimates of poverty in India, all indicate reduction in poverty levels over time. Do you agree? Critically examine with reference to urban and rural poverty indicators.
  4. Discuss the factors that influence Multidimensional Poverty in India and highlight the government policies and initiatives aimed at addressing this issue effectively.
  5. Discuss the significance of multidimensional poverty measurement in contrast to consumption-based poverty estimates. Analyze how the Global Multidimensional Poverty Index and the NITI Aayog's consumption-based poverty report provide complementary insights into poverty reduction efforts in India. Also, examine the challenges associated with aggregating and interpreting multidimensional indicators for accurate policy formulation.
  6. Examine the role of consumption-based poverty estimates in assessing the impact of economic growth on poverty reduction. Compare and contrast the methods used in the Tendulkar and Rangarajan committee methodologies for measuring poverty with the Global Multidimensional Poverty Index. Discuss the need for robust data collection mechanisms to address discrepancies between National Accounts Statistics and National Sample Survey data, along with recommendations to improve poverty estimation in India.

MCQs

Question: In a given year in India, official poverty lines are higher in some States than in others because (UPSC CSE 2019)

(a) poverty rates vary from State to State

(b) price levels vary from State to State

(c) Gross State Product varies from State to State

(d) quality of public distribution varies from State to State

Answer: (b) See the Explanation

The methodology for estimating poverty at national and state level vary from state to state because of the interstate price differences for different commodities.

Therefore, option (b) is the correct answer.

Question: The Multi-dimensional Poverty Index developed by Oxford Poverty and Human Development Initiative with UNDP support covers which of the following?

  1. Deprivation of education, health, assets and services at household level
  2. Purchasing power parity at national level
  3. Extent of budget deficit and GDP growth rate at the national level

Select the correct answer using the codes given below: (UPSC CSE 2012)

(a) 1 only

(b) 2 and 3 only

(c) 1 and 3 only

(d) 1, 2 and 3

Answer: (a) See the Explanation

  • The Multidimensional Poverty Index prepared by the UNDP and the OPHI covers three dimensions - Dimensions and indicators: Health, Education and Living Standards.
  • It has 10 indicators under the three dimensions:
  • Health - Nutrition, Child mortality
  • Education - Years of schooling, school attendance
  • Living Standards - cooking fuel, sanitation, drinking water, electricity, housing, and assets.
  • Hence statement 1 is correct.
  • It does not measure purchasing power parity, GDP growth rate, or budget deficit. Hence statements 2 and 3 are incorrect

Therefore, option (a) is the correct answer.

*The article might have information for the previous academic years, please refer the official website of the exam.
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