
1. Agriculture Sector:
- India and Pakistan have a high workforce dependency on agriculture (43% and 41% respectively) but contribute only 16% and 24% to GVA.
- China has low employment in agriculture (26%) but an even lower GVA contribution (7%), showing greater productivity in industry and services. 2. Industry Sector:
- China’s industrial sector contributes 41% to GVA with 28% workforce participation, showing high industrial productivity.
- India’s industrial sector contributes 30% GVA with 25% workforce, while Pakistan lags behind (19% GVA with 24% workforce).
3. Services Sector:
- The service sector is the highest contributor to GVA in all three nations:
- India: 54%, China: 52%, and Pakistan: 57%.
- China employs 46% in services, showing a strong transition from agriculture to services.
- India’s workforce in services (32%) is lower than its GVA share (54%), indicating potential for growth.
Conclusion: - China leads in industrial productivity, while India and Pakistan still rely on agriculture for employment but have a low GVA contribution.
- India’s service sector dominates its economy, but there is a need for more industrial growth to enhance employment.


Reactant ‘A’ underwent a decomposition reaction. The concentration of ‘A’ was measured periodically and recorded in the table given below:
Based on the above data, predict the order of the reaction and write the expression for the rate law.
Balance Sheet of Atharv and Anmol as at 31st March, 2024
| Liabilities | Amount (₹) | Assets | Amount (₹) |
|---|---|---|---|
| Capitals: | Fixed Assets | 14,00,000 | |
| Atharv | 8,00,000 | Stock | 4,90,000 |
| Anmol | 4,00,000 | Debtors | 5,60,000 |
| General Reserve | 3,50,000 | Cash | 10,000 |
| Creditors | 9,10,000 | ||
| Total | 24,60,000 | Total | 24,60,000 |