Skills, employability and the educated-unemployed paradox

Detail

1. The paradox: more education, more unemployment

• Educated-unemployed paradox: in India, a young person with more education is more likely to be unemployed than one with less education. This is the reverse of what we would expect.
• Unemployment rate (UR): the share of the labour force that wants work but has none.
• Formula: UR = (Unemployed persons ÷ Labour force) × 100
• The labour force counts people who are working plus people looking for work. It does not count students, or people who are not seeking a job.

• Worked example: a village has 200 male graduates in the labour force. 38 of them have no job but are looking for one. UR = 38 ÷ 200 × 100 = 19%. This matches the NCERT figure for rural male graduates.

• NSSO data, 2011-12 (Class 11, §4.7):

Youth group (2011-12)	Unemployment rate
Rural male graduates and above	19%
Urban male graduates and above	16%
Rural female graduates and above	nearly 30%
Primary-educated youth (rural and urban)	about 3–6%

• Later data show the same pattern:
• In 2022, youth graduates had an unemployment rate of 29.1%. Youth who could not read or write had 3.4%. So graduates were about 9 times more likely to be unemployed [4].
• Youth with secondary or higher education had a UR of 18.4% (2022), about 6 times that of illiterate youth [4].

• The gap is larger for women than for men, and larger at the graduate level [4].

• PLFS 2023-24 shows only moderate improvement:

• PLFS (Periodic Labour Force Survey) is MoSPI's regular survey of jobs and unemployment.
• Youth UR (age 15-29), usual status: 10.2% (2023-24). The government says this is below the global level [2].
• Youth Worker Population Ratio (WPR) is the share of all youth who are working. It rose from 31.4% (2017-18) to 41.7% (2023-24) [2].

2. Why the educated are unemployed more often

• They can afford to wait:
• Educated youth often come from better-off families.
• They can wait for a "suitable" job, such as a salaried or government post.

• The poor cannot wait, so they take any work, often informal and low-paid. This keeps their measured UR low.

• Degrees do not match job needs:

• Courses teach theory. Employers want practical and job-ready skills.

• So a person can hold a degree and still have no usable skill for the jobs that exist.

• NCERT's prescription:

• Raise the allocation (government spending) for higher education.
• Improve the standard of institutions so that they teach employable skills.

3. Diagnosis: key concepts

• Skill gap: the difference between the skills employers need and the skills that available workers have.

• Example: a factory needs CNC machine operators, but local youth hold only BA degrees.

• Skill mismatch: a worker's skills or qualifications do not fit the job they hold or seek. There are three forms:

• Over-qualification: an engineer working as a delivery rider.
• Under-qualification: a worker lacks the level of training the job needs.

• Wrong field: a commerce graduate applies for a nursing vacancy.

• Employability: the mix of skills, knowledge and attributes that lets a person get a job and keep it.

• The India Skills Report, cited in the Economic Survey 2023-24, found that about 51.25% of youth are deemed employable [3].
• This share rose from about 34% to 51.3% in the last decade [3].

• NCERT scaffold: "only about half of graduates are employable". The Survey's figure refers to youth, not only graduates.

• Formal vocational training is rare:

• Only 4.4% of youth aged 15-29 have received formal vocational or technical training [3].

• Another 16.6% learnt skills through informal sources, such as on the job or from family [3].

• Demographic stake: 65% of India's population is under 35 [3]. If these young people are not skilled, the demographic dividend (the growth boost from having a large working-age population) can turn into a burden.

• NEET: young people Not in Employment, Education or Training.
• It is wider than the UR. It also counts youth who are not looking for work, for example young women kept at home.
• Formula: NEET rate = (Youth who are NEET ÷ Total youth population) × 100
• It is an SDG indicator (SDG 8.6), part of the goal on decent work and economic growth.

• In India, about one in three young people has been NEET. The rate is almost the same in rural and urban areas, and it is much higher for young women [4].

• Class 8 question: what happens to businesses that cannot find workers with the right skills?

• Posts stay vacant and output falls.
• Firms must spend extra on in-house training.

• Productivity and competitiveness suffer.

• Types of unemployment (disguised, seasonal, structural and others) are covered in the note employment-informal-sector.

4. Responses to the skill problem

• Vocational education: education and training for a specific trade. It focuses on practical skills, not academic learning.

• NEP 2020 aims to give vocational exposure to at least 50% of learners.

• Apprenticeship: structured on-the-job training combined with classroom learning. The trainee learns under an employer and receives a stipend (a fixed monthly allowance).

• Apprentices Act 1961 is the legal base for apprenticeships in India.

• National Apprenticeship Promotion Scheme (NAPS, 2016): the government pays part of the apprentice's stipend. This lowers the cost for employers and encourages them to hire apprentices.

• Recognition of Prior Learning (RPL): skills that a person learnt informally at work are tested and certified.

• Example: a self-taught mason gets a certificate and can then apply for better-paid, formal jobs.

• RPL is a component of PMKVY.

• Upskilling vs reskilling:

• Upskilling improves existing skills for the current role. Example: a bank clerk learns new banking software.
• Reskilling trains a worker for a new role. Example: a data-entry operator trains as a solar technician.
• Both are vital because automation and AI are replacing routine jobs.

5. Skill India architecture

Body or scheme	Year	Function
NSDC (National Skill Development Corporation)	2008	Public–private partnership (PPP) company that funds and drives private training providers
NSQF (National Skills Qualifications Framework)	2013	National framework that grades qualifications by competence levels, so skills can be compared and moved between courses and jobs
MSDE (Ministry of Skill Development and Entrepreneurship)	2014	Nodal ministry for skilling
Skill India Mission and PMKVY (Pradhan Mantri Kaushal Vikas Yojana)	2015 (now PMKVY 4.0)	Short-term training, RPL and certification
Skill India Digital Hub	2023	Single digital platform for skilling, credentials and jobs
PM Internship Scheme	Budget 2024-25	Internships in top companies with a monthly stipend (verify current status)

• The Economic Survey 2023-24 said that new skilling initiatives, and the revamp of existing ones, should remain a high priority for the government [3].

6. Digital platforms (Class 8)

• Online learning: courses delivered through technology. Learners can take them from anywhere and at their own pace.
• SWAYAM (Study Webs of Active Learning for Young Aspiring Minds):
• Offers free MOOCs (Massive Open Online Courses) from Grade 9 onwards.
• Subjects include robotics, aquaculture and textile printing.

• Learners can study alongside a job or another course.

• National Career Service (NCS) portal: a job portal, not a learning portal. It links job-seekers to work across sectors, from plumbing to accounting.

• Together, these platforms remove geographical barriers to knowledge, skills and jobs.

7. Employers also have a responsibility (Class 8)

• Employers should invest in training and education so that workers stay competitive in the labour market.
• They should also provide fair pay, safe working conditions and workplace rights.

Prelims Hooks

• In India, the unemployment rate rises with education level. Graduates had a youth UR of 29.1% (2022), against 3.4% for illiterate youth [4].
• NCERT's NSSO data (2011-12): rural female graduates had the highest UR, at nearly 30%.
• Youth (15-29) UR, usual status, PLFS 2023-24 = 10.2% [2].
• Economic Survey 2023-24: ~51.25% of youth are employable (India Skills Report) [3].
• Only 4.4% of youth aged 15-29 have formal vocational or technical training [3].
• NEET = SDG indicator 8.6 (Goal 8: decent work and economic growth). It is wider than the unemployment rate.
• Pairs: Apprentices Act – 1961; NSDC – 2008 (PPP); NSQF – 2013; MSDE – 2014; PMKVY – 2015; NAPS – 2016; Skill India Digital Hub – 2023.
• Trap: RPL certifies skills that a person already has. It does not teach new skills. It is a component of PMKVY, not NAPS.
• Trap: SWAYAM is a learning platform (MOOCs from Grade 9). NCS is a job portal.
• Upskilling is for the current role. Reskilling is for a new role.

Mains Points

• Demographic dividend at risk: 65% of Indians are under 35, but only 4.4% of youth have formal vocational training [3]. Without skills, the large young workforce can become a demographic burden rather than a dividend. This links GS-III (growth, employment) with GS-II (education policy).
• Causes of the paradox are both supply-side and demand-side:
• Supply side: degrees that do not match job needs, weak institutions, and neglect of vocational education.
• Demand side: too few formal and salaried jobs, which makes educated youth "wait" for a suitable job.

• So skilling alone is not enough. It must be paired with labour-intensive job creation, for example in manufacturing, MSMEs and services.

• Gender dimension:

• Educated women face the highest UR (nearly 30% for rural female graduates in 2011-12).
• About one-third of youth are NEET, mostly young women [4].

• Policy should combine skilling with safe transport, childcare and flexible work.

• Policy architecture and trade-offs:

• The tools include NEP 2020 vocational exposure (50% of learners), NAPS stipend-sharing, RPL under PMKVY, NSQF and the PM Internship Scheme.
• Debates include:
  • Certification vs actual placement: training numbers can grow without people getting jobs.
  • Employer participation: training works better when industry designs courses and hires trainees.
  • Quality vs scale: fast expansion of training can lower its quality.
• Upskilling and reskilling for the AI and automation era must become lifelong, not a one-time event.