Tamil Nadu HSE Second Year Economics study materials
Tamil Nadu HSE Second Year Economics study resources

Tamil Nadu HSE Second Year Economics: Indian Economy and Tamil Nadu Economy

Tamil Nadu HSE Second Year Economics · Work through your exam, one topic at a time.

All guide sections

Indian Economy and Tamil Nadu Economy

Domain 11 tests factual and analytical knowledge of the Indian economy and Tamil Nadu: sectoral structure, planning, poverty and human development, and the state industrial and agricultural profile.

Indian economy

  • Sectoral shares of output: services largest (over half), agriculture about 18 percent, industry the rest - but agriculture still employs the largest workforce, a mismatch worth stating.
  • Planning: Planning Commission 1950; First Plan (1951-56) agriculture; Second Plan (1956-61) Mahalanobis heavy industry; plan holiday 1966-69; Twelfth Plan 2012-17; NITI Aayog replaced the Commission in 2015 as a think tank, not a fund allocator.
  • Poverty: Tendulkar line versus multidimensional poverty index; HDI combines income, health and education.
  • Reforms: LPG 1991, GST 2017, Make in India, formalisation and digital payments.

Tamil Nadu

  • High human development: literacy near 80 percent, urbanisation close to half, relatively low poverty.
  • Economy led by automobiles and auto components, textiles and garments, engineering, electronics, leather, cement and IT services around Chennai.
  • Agriculture: rice, sugarcane, groundnut, cotton; Cauvery delta irrigation; MSME density among the highest in India.

Worked example

If Tamil Nadu nominal GSDP rises from 20 lakh crore to 22 lakh crore while the price index rises 8 percent, real growth = (22/1.08) / 20 - 1 = 1.85 percent. Ignoring the deflator would overstate growth as 10 percent.

Traps

  • Assuming the largest output sector is also the largest employer.
  • Crediting NITI Aayog with Five Year Plan fund allocation.
  • Mixing poverty-line estimates with the multidimensional poverty index.
  • Quoting Tamil Nadu industrial data without naming the sector - textiles and automobiles must not be swapped.