Manufacturing Stagnation, Gig Economy Stratification, and Financial Precarity in India: A Simulation-Based Quantitative Analysis

Abstract

India's labour market is undergoing significant structural transformation characterised by limited manufacturing employment growth, expansion of service-sector employment, and the rapid emergence of platform-mediated work. At the same time, access to economically advantageous forms of employment remains uneven across social and educational groups. This study develops a simulation-based quantitative framework to examine three interconnected dimensions of these transformations: manufacturing stagnation and urban service-sector growth, socio-economic barriers to participation in high-skill gig work, and financial disparities across formal, gig, and traditional informal employment. The study uses simulated datasets designed to reflect the broad characteristics and analytical structure of large-scale Indian labour-market and household surveys, including the Periodic Labour Force Survey and the Consumer Pyramids Household Survey. Three analytical approaches are employed. First, time-trend regression is used to compare changes in manufacturing and informal urban service employment. Second, logistic regression is used to examine the association of social group, education, vocational training, and demographic characteristics with participation in high-skill gig work. Third, analysis of variance and post-hoc comparisons are used to assess differences in income volatility, savings rates, and debt-to-income ratios across employment categories. The simulated results illustrate a pattern of relatively stagnant manufacturing employment alongside growth in informal urban services. They further demonstrate how educational attainment and vocational training may be associated with greater participation in high-skill gig work, while historically disadvantaged social groups may face structural barriers to entry. The financial analysis illustrates greater income volatility, lower savings, and higher debt burdens among gig workers relative to formal salaried workers. The study demonstrates an analytical framework for investigating structural transformation, labour-market stratification, and financial precarity. This framework is applicable to actual unit-level survey data in future research.