Advances in Consumer Research
Issue 4 : 5588-5597
Original Article
An Empirical Study On The Impact Of Weather Change On Employment In Textile Industry Of Ahmedabad City
 ,
1
PhD Scholar, Department of Economics, Pandit Deendayal Energy University, Gandhinagar
2
Associate Professor, Department of Economics, Pandit Deendayal Energy University, Gandhinagar
Abstract

The textile industry remains a critical contributor to Ahmedabad’s economy, yet it is increasingly vulnerable to climate variability that disrupts production cycles, labour performance, and employment stability. This study examines how fluctuations in temperature, humidity, and seasonal weather conditions influence employment dynamics in textile manufacturing units across the city. A quantitative SEM-based research design was adopted, utilising structured surveys administered to 180 respondents selected through stratified random sampling. Statistical analysis using SPSS and SmartPLS revealed significant effects of climate variability on seasonal employment adjustments, workforce demand, and labour productivity. Respondents indicated that extreme heat and high humidity reduced physical efficiency, increased absenteeism, and triggered temporary recruitment adjustments. Results further show that reduced labour productivity mediates the relationship between climate stress and workforce instability. These findings highlight the growing need for climate-responsive workforce strategies, including improved workplace cooling, production planning adjustments, and skill alignment to strengthen resilience in the textile sector. The study contributes empirical evidence to guide policymakers and industry decision-makers in sustaining labour stability and production efficiency amid escalating environmental uncertainty..

Keywords
Recommended Articles
Original Article
Application of Social Media Marketing on Medical Tourism in India with Reference to Pune City
Research Article
Why Students Fail to Use English After 12 Years of Studying Sunrise Textbook: A Perspective of Teachers and Students in the Kurdistan Governmental Schools
Published: 25/11/2025
Original Article
Prioritizing AI Adoption in Hyper-Personalized Marketing in Emerging Markets
Original Article
Scalable CNN–Transformer Hybrid Model for Robust OFDM Signal Identification and Localization in 6G Networks
Loading Image...
Volume 2, Issue 4
Citations
19 Views
11 Downloads
Share this article
© Copyright Advances in Consumer Research