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.
A school is organizing a debate competition with participants as speakers and judges. $ S = \{S_1, S_2, S_3, S_4\} $ where $ S = \{S_1, S_2, S_3, S_4\} $ represents the set of speakers. The judges are represented by the set: $ J = \{J_1, J_2, J_3\} $ where $ J = \{J_1, J_2, J_3\} $ represents the set of judges. Each speaker can be assigned only one judge. Let $ R $ be a relation from set $ S $ to $ J $ defined as: $ R = \{(x, y) : \text{speaker } x \text{ is judged by judge } y, x \in S, y \in J\} $.