"An Analysis Of Socio-Economic Indicators And Their Influence On The Job Satisfaction Levels Of Migrant Workers In The Brick Kiln Industry"

This study explores the intricate relationship between the socio-economic characteristics of migrant workers and their level of satisfaction with employment in the brick kiln industry. Drawing on primary data and supported by relevant literature, the research examines how factors such as age, gender, education, income, caste, family structure, and migration history influence occupational satisfaction among migrant laborers. Migration is a complex socio-economic process, often driven by the interplay of economic necessity, demographic factors, and personal aspirations. Understanding the level of satisfaction among migrant workers is critical, as it not only impacts their productivity and well-being but also informs broader labor and welfare policies. To achieve this, two statistical techniques were employed: Cross Tabulation, along with the Chi-Square Test and Coefficient of Contingency (COC), and Discriminant Analysis. Cross tabulation identifies significant bivariate associations between independent socio-economic variables and the dependent variable—level of satisfaction—while discriminant analysis determines the combination of variables that best differentiates between low and high satisfaction groups. The findings reveal that variables such as age, education, income, and migration history have a statistically significant association with satisfaction levels. Younger workers and those with higher educational qualifications and better incomes tend to report higher levels of satisfaction. The results underscore the importance of addressing socio-economic disparities in labor-intensive sectors like brick kilns, and call for targeted policy interventions to enhance migrant welfare and sustainable employment conditions. The study contributes to the existing body of knowledge by offering a data-driven understanding of how individual characteristics shape employment satisfaction in informal labor sectors. It provides a foundation for designing inclusive labor policies and migration management strategies that align with the principles of equity, dignity, and sustainable livelihoods.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-06-18
DOI
https://doi.org/10.64252/8v11ya37
Primary Topic
Migration, Ethnicity, and Economy
Type
article
Field-Weighted Citation Impact
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article

"An Analysis Of Socio-Economic Indicators And Their Influence On The Job Satisfaction Levels Of Migrant Workers In The Brick Kiln Industry"

Puneet Bansal, Gargi Singh, Shilpa Kansal, Veerpaul Kaur Maan
International Journal of Environmental Sciences
Migration, Ethnicity, and Economy
article

"An Analysis Of Socio-Economic Indicators And Their Influence On The Job Satisfaction Levels Of Migrant Workers In The Brick Kiln Industry"

Puneet Bansal, Gargi Singh, Shilpa Kansal, Veerpaul Kaur Maan
article en

Abstract

This study explores the intricate relationship between the socio-economic characteristics of migrant workers and their level of satisfaction with employment in the brick kiln industry. Drawing on primary data and supported by relevant literature, the research examines how factors such as age, gender, education, income, caste, family structure, and migration history influence occupational satisfaction among migrant laborers. Migration is a complex socio-economic process, often driven by the interplay of economic necessity, demographic factors, and personal aspirations. Understanding the level of satisfaction among migrant workers is critical, as it not only impacts their productivity and well-being but also informs broader labor and welfare policies. To achieve this, two statistical techniques were employed: Cross Tabulation, along with the Chi-Square Test and Coefficient of Contingency (COC), and Discriminant Analysis. Cross tabulation identifies significant bivariate associations between independent socio-economic variables and the dependent variable—level of satisfaction—while discriminant analysis determines the combination of variables that best differentiates between low and high satisfaction groups. The findings reveal that variables such as age, education, income, and migration history have a statistically significant association with satisfaction levels. Younger workers and those with higher educational qualifications and better incomes tend to report higher levels of satisfaction. The results underscore the importance of addressing socio-economic disparities in labor-intensive sectors like brick kilns, and call for targeted policy interventions to enhance migrant welfare and sustainable employment conditions. The study contributes to the existing body of knowledge by offering a data-driven understanding of how individual characteristics shape employment satisfaction in informal labor sectors. It provides a foundation for designing inclusive labor policies and migration management strategies that align with the principles of equity, dignity, and sustainable livelihoods.

International Journal of Environmental SciencesVol. 11(11s)
Openalex Percentile: Top 66%
Migration, Ethnicity, and Economy
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"An Analysis Of Socio-Economic Indicators And Their Influence On The Job Satisfaction Levels Of Migrant Workers In The Brick Kiln Industry" — Puneet Bansal, Gargi Singh, et al. · International Journal of Environmental Sciences (2025) | TGRS Research Map | TGRS