Systemic Precarity and Policy Gaps: Employment Security Erosion Among Pakistan's Social Periphery (2010–2025)
Year: 2026
Type: article
Abstract: This study investigates the erosion of employment security among Pakistan’s social periphery—informal laborers, rural-urban migrants, religious minorities, and marginalized women—from 2010 to 2025, a period marked by macroeconomic instability, climate shocks, and technological disruptions. We employ a mixed-methods approach, integrating quantitative analysis of Pakistan Bureau of Statistics and World Bank datasets with qualitative insights from 500 interviews and 10 Focus Group Discussions across three case clusters: climate-displaced agrarian workers, urban informal laborers, and digital gig workers. The Delphi Method further projects labor market challenges post-2025, engaging labor economists to forecast automation risks, climate migration, and debt traps. Our findings reveal a stark rise in informal employment from 65% to an estimated 75%, with employment security inversely correlated to GDP growth. Climate shocks, such as the 2010 and 2022 floods, precipitated a 15% drop in rural wages and pushed 33% of affected households into debt bondage. Gender disparities remain entrenched, with female labor force participation stagnating below 25% and home-based workers experiencing a 40% decline in real wages. Moreover, the gig economy, despite its 55% growth in digital freelancing, exacerbates precarity, as 60% of workers report income instability and lack access to social protection. The study highlights systemic policy gaps and advocates for inclusive social protection frameworks to address the vulnerabilities of Pakistan’s informal workforce, which constitutes 70% of the labor force. By bridging historical data with projected trends, this research contributes to under-documented lived experiences and informs urgent policy interventions to mitigate socio-economic risks in the face of automation, climate migration, and financialization.
Institution: Minhaj University Lahore
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7147557849
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