The Dual Challenge of India's Structural Transition: Analyzing Employment Growth, Informality, and Skill Mismatch using PLFS and NITI Aayog Data (2017–2024)

Abstract

This paper examines the complex dynamics governing employment generation and skill development in India between 2017 and 2024, focusing on the synthesis of macro-level labor statistics (Periodic Labour Force Survey, PLFS) and specialized policy evaluations (NITI Aayog, Skill India Mission reports). Despite robust economic growth and recent improvements in labor force participation rates, India faces a significant structural disconnect: high-productivity sectors generate limited employment, while traditional, low-productivity segments remain informal and low-paying. The analysis reveals a critical skills crisis, characterized by a profound mismatch between rapidly rising educational attainment and the quality of available jobs, evidenced by the underutilization of tertiary-educated workers. Furthermore, while flagship skilling programs achieve significant scale, their effectiveness is limited by a focus on quantitative targets over verifiable placement outcomes and a lack of localization to regional industrial demand. Addressing these challenges necessitates immediate policy shifts towards formalizing the gig economy, decentralizing curriculum design, strengthening data infrastructure for real-time labor market information, and proactively adapting to the accelerating threat of automation and Artificial Intelligence (AI).

Keywords: Structural Transition, Labor Force Participation, Skill Mismatch, Services Sector Dualism, Pradhan Mantri Kaushal Vikas Yojana, Informal Employment, Workforce Automation.