Economic activity and why we classify it into sectors

Detail

1. Economic activity: the starting point

• Kautilya's Arthashastra opens the Class 6 chapter Economic Activities Around Us: "The root of prosperity is economic activity, the lack of it brings material distress."

• The message: a country becomes richer only when its people produce goods and services.

• Economic activity is any activity that creates monetary value (value that can be measured in money).

• It adds to GDP (Gross Domestic Product: the money value of all final goods and services produced inside a country in one year).

• Examples: a farmer selling wheat, a teacher paid a salary, a mechanic paid to repair a bike.

• The link to GDP. Output is measured as value added, not total sales.

• GVA (Gross Value Added) = Value of output − Value of intermediate goods used up
• GDP = GVA + product taxes − product subsidies
• Worked example: a farmer grows wheat worth ₹1,000 and sells it to a baker. The baker makes bread worth ₹1,500.
  • Farmer's value added = ₹1,000. Baker's value added = ₹1,500 − ₹1,000 = ₹500.
  • Total GVA = ₹1,500 (the value of the final bread). Adding ₹1,000 + ₹1,500 = ₹2,500 would be wrong, because the wheat would be counted twice. This error is called double counting.
• Sector shares in GDP and GVA are worked out this way, one sector at a time.

2. Non-economic activity and sevā

• Non-economic activity is done out of love, care, respect or service. No money changes hands.
• Examples: parents cooking for the family, volunteering.

• It adds to welfare and well-being (how good people's lives are) but falls outside GDP.

• Selfless service (sevā) means service given with nothing expected in return.

• Example: the langar (free community kitchen) at a gurdwara.

• It is non-economic, but it makes society stronger.

• Exam point: the same act can fall on either side of the line. A cook paid by a hotel is doing economic activity. A mother cooking at home is doing non-economic activity. The boundary depends on payment or market value, not on the kind of work. The detailed boundary is covered in economic-problem-systems.

3. Why classify?

• Few livelihoods in the past: farming, herding, tool-making, pottery, weaving.
• Many livelihoods today: making drones and phones, banking, hotels, software, repairing fridges and washing machines.
• With so many activities, we must group them. Only then can we see how each works and how they link to each other.
• Classification means putting activities that share a common criterion (a rule or basis for sorting) into one group.
• The right criterion depends on what we want to analyse.

• Class 10's warm-up example: a school groups its students as primary/secondary, or junior/senior, by age or class. The grouping changes with the purpose.

• Sectors are linked, not separate boxes. Class 6 uses the AMUL dairy chain as its example:

• Farmers rear cattle and produce milk (primary) → the milk is processed into butter and milk powder at a plant (secondary) → the products are transported, stored, advertised and sold (tertiary).
• If one link fails (for example, the milk procurement stops), the other two suffer as well.

4. Sectors of the economy: the three lenses

• A sector is a group of economic activities that share one criterion.
• Class 10 (Sectors of the Indian Economy) uses three criteria. Its Table 2.4 organises this whole note:

Classification	Criterion used	What the lens shows
Primary / Secondary / Tertiary	Nature of activity	Services lead output, but agriculture still employs the most people → underemployment
Organised / Unorganised	Employment conditions	Most workers are unorganised and need protection
Public / Private	Ownership of assets	The state must provide infrastructure, basic services and support. Private firms follow profit

• Key terms, defined simply:
• Primary sector: uses natural resources directly (farming, fishing, mining).
• Secondary sector: turns natural products into other forms through manufacturing (cotton → cloth).
• Tertiary (service) sector: does not produce goods itself but supports the other two (transport, banking, trade, IT).
• Organised sector: registered with the government, with regular jobs, fixed hours, paid leave and social security.
• Unorganised sector: small, scattered units, mostly unregistered. Jobs are low-paid, irregular and unprotected.
• Public sector: the government owns most of the assets and provides the services (e.g. Railways).
• Private sector: individuals or companies own the assets. The main aim is profit.

• Underemployment / disguised unemployment: more people work on a job than it needs. Each person seems busy, but if some leave, output does not fall.

• "Let's Recall" (Class 10) says classification is an analytical tool. Each lens leads to conclusions about production and employment, and to policy fixes.

5. What the lenses show in the latest data

Lens 1: Nature of activity. Output has moved to services, but jobs have not.

• Shares in GVA at current prices (FY24, i.e. 2023-24): agriculture 17.7%, industry 27.6%, services 54.7% [2].
• The services share of GVA rose from 50.6% (FY14) to about 55% (FY25) [5].
• Shares of the workforce (PLFS 2023-24):
• Agriculture 46.1%, up from 44.1% in 2017-18 [3]
• Manufacturing 11.4%, down from 12.1% [3]

• Services 29.7%, down from 31.1% [3]

• Among women workers, the share in agriculture rose from 57.0% (2017-18) to 64.4% (2023-24). Among men it fell from 40.2% to 36.3% [3].

Worked example: relative productivity (a rough measure)

• Formula: Relative productivity = Sector's share of GVA ÷ Sector's share of workers
• Agriculture: 17.7 ÷ 46.1 ≈ 0.38
• Services: 54.7 ÷ 29.7 ≈ 1.84

• So, on average, a services worker produces about 4.8 times (1.84 ÷ 0.38) as much value as a farm worker.

• Caution: this is a derived calculation for illustration. The GVA figures are for the financial year (April 2023-March 2024), while PLFS covers July 2023-June 2024.

• Takeaway: too many people share too little farm output. This is the underemployment conclusion in Table 2.4, now backed by data.

Lens 2: Employment conditions. Most work is informal.

• Status of workers (PLFS, 2017-18 → 2023-24) [3]:
• Self-employed (people who run their own work, such as a farmer or a shopkeeper): 52.2% → 58.4%
• Regular wage/salaried (fixed monthly pay): 22.8% → 21.7%

• Casual labour (daily-wage work with no contract): 24.9% → 19.8%

• e-Shram portal: launched by the Ministry of Labour and Employment on 26 August 2021. It builds a National Database of Unorganised Workers (NDUW). Over 30.51 crore unorganised workers had registered by 31 December 2024 [3].

• It became a "One-Stop-Solution" on 21 October 2024, bringing different social-security schemes together on one portal [3].

How employment is measured (MoSPI/NSSO, PLFS)

• LFPR (Labour Force Participation Rate) = % of the population that is working or looking for/available for work → 60.1% (age 15+, usual status, 2023-24) [4].
• WPR (Worker Population Ratio) = % of the population that is employed → 58.2% (2023-24) [4].
• UR (Unemployment Rate) = % of the labour force that is unemployed → 3.2% (2023-24) [4].

• Formula: UR = (Unemployed ÷ Labour force) × 100. For example, if 100 people are in the labour force and 3 have no work, UR = 3%.

• Usual status (ps+ss) uses a 365-day reference period. Current Weekly Status (CWS) uses the last 7 days [4].

• PLFS was launched by the NSSO in April 2017 [4].
• A low UR does not mean good jobs. Most of the "employed" are self-employed or in farming. This is why the scaffold's lens points to underemployment, not open unemployment.

6. Exam trap

• "Number of workers employed" is NOT one of the three criteria. It is a common MCQ distractor.
• The three criteria are nature of activity, employment conditions and ownership of assets.
• Worker numbers are an outcome we study through the lenses. They are not a basis for sorting activities.

Prelims Hooks

• The three Class 10 criteria are nature of activity (primary/secondary/tertiary), employment conditions (organised/unorganised) and ownership of assets (public/private). "Number of workers" is not a criterion.
• Economic activity creates monetary value and counts in GDP. Non-economic activity, including sevā such as langar, is outside GDP.
• GVA = Output − Intermediate consumption. GDP = GVA + product taxes − product subsidies.
• GVA shares in FY24 (current prices): agriculture 17.7%, industry 27.6%, services 54.7% [2].
• Agriculture's share of the workforce was 46.1% (PLFS 2023-24), up from 44.1% (2017-18). The trap is to assume it keeps falling [3].
• 58.2% in PLFS 2023-24 is the WPR, not agriculture's share of employment. UR was 3.2% and LFPR 60.1% (age 15+, usual status) [4].
• PLFS is run by the NSSO (MoSPI) and was launched in April 2017 [4].
• e-Shram (Ministry of Labour and Employment, 26 August 2021) builds the NDUW. It had 30.51 crore registrations by 31 December 2024 [3].
• The Arthashastra line "The root of prosperity is economic activity…" is attributed to Kautilya.

Mains Points

• Structural mismatch: services produce about 55% of GVA but employ about 30% of workers, while agriculture produces 17.7% of GVA with 46.1% of workers [2][3][5].
• Result: low income per farm worker and disguised unemployment.

• Policy link: labour-intensive manufacturing, food processing and rural non-farm jobs to move surplus workers out of farming.

• Rise in the farm workforce share since 2017-18 (especially among women, 57.0% → 64.4%) [3] can be read in two ways.

• Positive reading: more women are entering the labour force.
• Negative reading: a lack of non-farm jobs is pushing workers back to farming.

• Use this debate in GS-III answers on employment and inclusive growth.

• Informality lens: self-employment is 58.4% and casual labour is 19.8% (2023-24) [3], so most workers lack social security.

• e-Shram's 30.51 crore registrations [3] show both the size of the problem and the state's effort to bring these workers under social-security schemes. This links to GS-II on welfare schemes for vulnerable sections.

• Classification as a policy tool: each lens points to a different fix.

• Sector lens → structural transformation (moving workers from low-output to high-output work).
• Organised/unorganised lens → labour protection and social security.
• Ownership lens → public provision of infrastructure, health and education where profit-driven firms will not invest.