Averages hide disparities; GDP is not welfare

Detail

1. What an average is, and what it can do

• Average (arithmetic mean) means the total income of a group divided by the number of people in it.

• Formula: Mean = Σ incomes ÷ number of people.

• Per capita income is an average of this kind: national income ÷ population. The World Bank uses it to rank countries.

• Why it is used: countries have different populations. Total income cannot compare India with Sri Lanka, but average income can.
• Its limit: an average is good for comparing groups. It says nothing about how income is spread among people.

2. NCERT Table 1.2: same average, very different countries

Monthly incomes (Rs) of five citizens:

Country	I	II	III	IV	V	Total	Mean	Median
A	9,500	10,500	9,800	10,000	10,200	50,000	10,000	10,000
B	500	500	500	500	48,000	50,000	10,000	500

• Both countries have an average income of Rs 10,000, but life in them is very different.
• Country A: everyone earns between Rs 9,500 and Rs 10,500. NCERT's cartoon calls it a "country with no rich and no poor".
• Country B: one person earns Rs 48,000. The other four earn Rs 500 each. NCERT calls it a "country with rich and poor".
• Citizen V alone holds 48,000 ÷ 50,000 = 96% of the total income.

3. The lottery test

• If you knew you would be citizen V, you might choose Country B, because you would be the rich one.
• If a lottery decided your citizen number, most people would choose Country A.
• In B you have a 4 in 5 (80%) chance of earning only Rs 500.

• In A you are sure to earn about Rs 10,000.

• Lesson: when people do not know their place in society, they prefer equitable distribution.

• Equitable distribution of income means income is shared so that people are "neither very rich nor extremely poor". There are no extremes of wealth or poverty.
• Equitable distribution is preferred over a skewed (uneven) distribution, even when the average is the same.

4. Mean and median

• Median is the income of the middle person when everyone is lined up from poorest to richest.
• With an odd number of people (n), the median is the value at position (n + 1) ÷ 2.

• With 5 people it is the 3rd person.

• The mean is pulled up by a few very rich people. The median is not.

• In B, raising citizen V's income from Rs 48,000 to Rs 4,80,000 would push the mean up to Rs 96,400, but the median would stay at Rs 500.

• So the median better shows the "typical" citizen. In B the median is Rs 500 while the mean is Rs 10,000.

• Quick rule: mean much higher than median → a small rich group at the top → skewed distribution.

5. NCERT exercises

• Ex. 3 (worked answer): four families have an average income of Rs 5,000.
• Total = 4 × 5,000 = Rs 20,000.
• The other three earn 4,000 + 7,000 + 3,000 = Rs 14,000.

• The fourth family earns 20,000 − 14,000 = Rs 6,000.

• Ex. 4: a rising average income does not prove that every section is better off.

• The whole rise may go to the top group while the poor stay where they were, or even lose.
• This is why we also need distribution measures, such as the Gini coefficient.

6. India's inequality numbers (official, consumption-based)

• Gini coefficient measures how unequally something is shared, on a scale of 0 to 1 (or 0 to 100).
• 0 = perfect equality (everyone has the same amount).
• 1 (or 100) = perfect inequality (one person has everything).

• It is read from the Lorenz curve: G = A ÷ (A + B), where A is the area between the line of equality and the Lorenz curve, and B is the area below the Lorenz curve. The details are in poverty-inequality.

• India's consumption Gini fell from 28.8 (2011-12) to 25.5 (2022-23), according to World Bank estimates [2][4].

• This makes India the 4th most equal country in the world by this measure, after the Slovak Republic, Slovenia and Belarus [2].

• Rural and urban: the Gini fell from 0.283 to 0.237 in rural India and from 0.363 to 0.284 in urban India (2011-12 to 2023-24) [2][3].

• Exam caution: consumption is not income.
• These figures come from the Household Consumption Expenditure Survey (HCES). It measures spending, not income.
• Rich households save a large part of their income, so spending is more evenly spread than income.
• A consumption Gini therefore usually shows less inequality than an income or wealth Gini. This is the same "averages hide things" lesson at a national scale.

7. Why GDP is not welfare (Class 12, §2.5)

• GDP (Gross Domestic Product) is the market value of all final goods and services produced inside a country in a year.
• Welfare means the well-being of people: how well they live, not just how much is produced.
• NCERT gives three reasons why GDP is a poor measure of welfare.

Reason 1: Distribution of GDP

• Year 2000: 100 people × Rs 10 = Rs 1,000.
• Year 2001: (90 × Rs 9) + (10 × Rs 20) = 810 + 200 = Rs 1,010.
• What changed:
• GDP rose by Rs 10 (+1%).
• 90% of people lost 10% of their income (Rs 10 → Rs 9).

• 10% of people gained 100% (Rs 10 → Rs 20).

• Conclusion: if welfare means "how many people are better off", GDP is a poor index. It rose even though most people became worse off.

Reason 2: Non-monetary exchanges

• GDP counts only activities that are paid for in money. Two big things are left out:
• Unpaid domestic work (cooking, cleaning, caring for children and the elderly), done mostly by women.

• Barter (swapping goods or services without money), common in the informal sector and in remote areas.

• Result: GDP is underestimated. It does not clearly show all productive activity or well-being.

• India's data (Time Use Survey 2024, NSO-MoSPI):
• Women aged 15-59 who do unpaid domestic services spent about 305 minutes a day on them in 2024, down from about 315 minutes in 2019 [7].
• 83.1% of females and only 26.4% of males took part in domestic services for household members on normal days (2024) [7].
• The 2024 survey was India's second all-India Time Use Survey. The first was in 2019 [7].
• That is about 5 hours a day of real work per woman that does not appear in GDP.

Reason 3: Externalities

• Externalities are benefits or harms that one person's activity causes to others, which are not paid for or penalised. No market exists for them.
• NCERT example: the oil refinery
• The refinery's value added (its output minus the inputs it bought) is counted in GDP.
• But it pollutes the river → people who use the water fall ill → fish die → fishermen lose their livelihood.

• None of this loss is subtracted from GDP.

• Negative externality (harm to others, e.g. pollution) → GDP overstates welfare.

• Positive externality (benefit to others, e.g. a beekeeper's bees pollinating a nearby orchard, or a vaccinated person protecting others) → GDP understates welfare.

8. Beyond NCERT: more gaps in GDP

• Simon Kuznets, who built the US national accounts, warned in 1934 that "the welfare of a nation can scarcely be inferred from a measure of national income".
• Leisure is not counted.
• If people work 60 hours a week instead of 45, GDP goes up.

• But they lose rest, health and family time, so welfare may fall.

• Defensive expenditure is spending that only repairs or protects against damage. GDP counts it as a gain.

• Examples: air purifiers, anti-pollution spending, hospital bills caused by smog.

• Illustration: smog forces a city to spend Rs 500 crore on masks, purifiers and treatment. GDP rises by Rs 500 crore, yet people are no better off than before the smog.

• Depletion of natural capital (using up nature's stock of resources).

• Cutting a forest or pumping out groundwater (aquifers) raises GDP.

• Nothing is subtracted for the lost stock, which is like selling family gold and calling it income.

• Green accounting tries to correct this. Examples are green GDP and SEEA (System of Environmental-Economic Accounting), the UN framework that records environmental stocks and flows alongside national accounts.

• India: the NSO (MoSPI) began compiling environmental accounts in the SEEA framework in 2018. It releases them every year as "EnviStats India Vol. 2: Environment Accounts", which cover ecosystem extent, condition and services [8].
• India took part in the NCAVES (Natural Capital Accounting and Valuation of Ecosystem Services) project, launched by the UNSD in 2017 to pilot SEEA ecosystem accounting [9].
• See environment-sustainable-development.

9. Stiglitz-Sen-Fitoussi Commission (2009)

• The official name is the Commission on the Measurement of Economic Performance and Social Progress. It is also called the "Sarkozy Commission" [6].
• Set up by the French government in early 2008 to find the limits of GDP as a measure of economic performance and social progress. It reported in 2009 [5][6].
• Members: Joseph Stiglitz (chair), Amartya Sen (adviser) and Jean-Paul Fitoussi (coordinator).
• Recommendations (scaffold):
• Look at household income and consumption, not just production.
• Give more weight to distribution.
• Measure subjective well-being (how satisfied people say they are with life).

• Track sustainability separately.

• Core message: GDP mainly measures market production, not well-being. Mixing up "well off" with "well-being" can lead to wrong policies [5].

• Dashboard idea: use a broad set of indicators instead of relying too much on GDP. Suggested areas include material living standards, health, education, personal activities including work, political voice and governance, social connections, environment and insecurity [5].
• Legacy: its "Beyond GDP" message became part of the global policy agenda, including the UN Sustainable Development Goals (SDGs) [5].

10. Policy answer: inclusive growth

• Inclusive growth is growth that:
• is broad-based across sectors (farming, industry, services) and regions;
• creates opportunities for all, especially the poor and marginalised;

• reduces poverty and inequality, not just raises the average.

• 11th Five Year Plan (2007-12): "Towards Faster and More Inclusive Growth".

• 12th Five Year Plan (2012-17): "Faster, More Inclusive and Sustainable Growth". It added sustainability to inclusiveness.
• How it links to this section:
• Averages hide who gains → inclusive growth asks who gains.

• GDP ignores the environment → "sustainable" was added to the 12th Plan title.

• Inequality measurement (Gini coefficient, Lorenz curve) is covered in poverty-inequality.

Prelims Hooks

• Mean vs median: in a skewed distribution with a few very rich people, mean > median. The median better shows the typical citizen (NCERT Country B: mean Rs 10,000, median Rs 500).
• NCERT Ex. 3: four families average Rs 5,000 and three earn 4,000, 7,000 and 3,000 → the fourth earns Rs 6,000.
• GDP and externalities: negative externality → GDP overstates welfare. Positive externality → GDP understates welfare.
• Unpaid domestic work and barter are excluded from GDP → GDP is underestimated.
• Defensive expenditure (e.g. air purifiers, smog treatment) adds to GDP even though welfare does not rise. This is a common trap.
• India's consumption Gini: 25.5 (2022-23), down from 28.8 (2011-12), per the World Bank. India ranks 4th most equal by this measure [2].
• Time Use Survey 2024 (NSO-MoSPI, the 2nd after 2019): women aged 15-59 spent about 305 min/day on unpaid domestic services [7].
• Stiglitz-Sen-Fitoussi Commission: set up by France, reported in 2009, and called for a "Beyond GDP" dashboard [5][6].
• SEEA is the UN framework for environmental-economic accounts. MoSPI's "EnviStats India Vol. 2: Environment Accounts" has been published every year since 2018 [8].
• Plan themes: 11th Plan = "Faster and More Inclusive Growth". 12th Plan = "Faster, More Inclusive and Sustainable Growth".

Mains Points

• GDP growth vs welfare: high GDP growth can hide falling welfare for most people (NCERT's Rs 1,000 → Rs 1,010 example), unpaid care work (about 305 min/day per woman, TUS 2024 [7]) and environmental damage (the refinery example). Growth figures should be read alongside distribution, time-use and green accounts, as the Stiglitz-Sen-Fitoussi dashboard suggests [5].
• The inequality debate in India: the consumption Gini of 25.5 (2022-23) [2] shows narrowing consumption gaps. But consumption surveys usually understate income and wealth inequality, because the rich save more and are hard to survey. A balanced answer quotes the official figure and points out what it cannot measure.
• Valuing unpaid work: recognising women's unpaid work in satellite accounts (separate accounts that sit alongside GDP) would show women's real economic contribution. It would also strengthen the case for childcare, care infrastructure and time-saving schemes (clean cooking fuel, piped water), which free women's time for paid work (GS-I/GS-III linkage).
• Inclusive and sustainable growth as policy: the move from the 11th Plan's "inclusive" to the 12th Plan's "inclusive and sustainable" growth reflects the averages problem and the externalities problem. India's SEEA-based EnviStats accounts [8][9] are the start of green accounting that could adjust GDP for natural capital loss.