Consider the following statements.1. Swarna Jayanti Shahari Rozgar Yoj...
India has had a history of urban employment schemes such as the Swarna Jayanti Shahari Rozgar Yojana (SJSRY), which was launched in 1997. It provided employment to the unemployed and underemployed urban poor through self-employment and wage employment. In 2013, the SJSRY was replaced by the National Urban Livelihoods Mission (NULM). But none of them were employment “guarantee” schemes.
Most unemployment data — be it from the Centre for Monitoring Indian Economy or the government’s own Periodic Labour Force Survey — shows that the unemployment rates are typically higher in urban areas.
Consider the following statements.1. Swarna Jayanti Shahari Rozgar Yoj...
Analysis of Statements
To determine the correctness of the statements regarding Swarna Jayanti Shahari Rozgar Yojana (SJSRY) and unemployment rates in India, we analyze each statement separately.
Statement 1: SJSRY as an Employment Guarantee Scheme
- SJSRY was launched in 1997 to provide employment to the urban poor.
- It aimed at providing wage employment and self-employment opportunities.
- However, it is not categorized strictly as an "employment guarantee scheme" like the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA).
- Therefore, this statement is incorrect.
Statement 2: Unemployment Rates in Urban Areas
- The Periodic Labour Force Survey (PLFS) data indeed shows that urban unemployment rates are generally higher than rural unemployment rates.
- This trend can be attributed to various factors, including the nature of urban employment, economic conditions, and demographic changes.
- Thus, this statement is correct.
Conclusion
Given that only Statement 2 is correct, the accurate answer to the question is option B: "2 only."
- Statement 1 is misleading as it misclassifies SJSRY.
- Statement 2 accurately reflects the trends observed in the PLFS data regarding urban unemployment rates in India.
This analysis clarifies the distinction between the two statements and highlights the importance of accurate categorization in understanding employment schemes and labor market dynamics in the country.