Vol. 7, Issue 2, Part H (2025)

This study investigates the determinants of executive remuneration in India, focusing on gender, age, and annual increment percentages. Utilising a dataset of 9,334 executive records, we apply linear regression and structural equation modelling (SEM) to quantify the impact of these factors. Our results reveal significant disparities in remuneration: male executives earn significantly more than their female counterparts, with an average difference of ₹17.27 million. Age and increment percentage are also significant predictors, though the model explains only 0.42% of the variation in executive pay, suggesting the presence of unobserved factors. This paper contributes to understanding remuneration dynamics and offers policy recommendations to improve gender equity and corporate governance in India.