Question

On the basis of the data given below, discuss the shift in output and employment sector-wise, in India and China: \begin{center} 

Hint:

China's economic transformation is driven by industrial growth, while India and Pakistan still have a high workforce dependency on agriculture despite lower productivity.

Answer 1

The table presents the sectoral contribution to Gross Value Added (GVA) and workforce distribution in India, China, and Pakistan. The data highlights how structural transformation in these economies has influenced employment patterns and economic growth. 
Sector-Wise Analysis: 
Agriculture: India’s agriculture sector contributes 16% to GVA but employs 43% of the workforce, indicating the presence of disguised unemployment and low productivity . In contrast, China’s agriculture sector contributes only 7% to GVA, employing 26% of the workforce, showcasing a more efficient agricultural sector. Pakistan, like India, has a high share of the workforce engaged in agriculture (41%), but the sector contributes 24% to GVA, reflecting similar productivity challenges.

Industry : China has undergone rapid industrialization, with the industrial sector contributing 41% to GVA, while employing 28% of its workforce. In India, the industrial sector’s GVA contribution is lower at 30%, and it employs only 25% of the workforce, indicating slower industrial growth compared to China. Pakistan’s industrial sector is even smaller, contributing 19% to GVA while employing 24% of its workforce, showing limited industrial expansion.

Services : India’s service sector dominates, contributing 54% to GVA while employing 32% of the workforce, making it the most productive sector in the economy. China’s service sector contributes 52% to GVA, employing 46% of its workforce, showing a more balanced employment structure. Pakistan also has a strong 57% contribution to GVA from services, employing 35% of the workforce, reflecting the increasing importance of the sector.