Authors:
M. N. Aishwarya Anandavalli, S. Antony Raj
Addresses:
Department of Commerce, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.
Abstract:
This study quantifies the financial impact of government-led skill development schemes on the sustainability and profitability of the Tamil Nadu textile sector. The study links skills investment to long-term industrial growth by investigating the role of improved workforce competency, notably among female beneficiaries, in TNSDC activities supported between 2021 and 2024. The quantitative study uses annual Net Profit and Service Revenue information from the Tamil Nadu Textiles Corporation Limited (TNTCL) from 2019–20 to 2023–24. A Chi-square test and Time Series Analysis (ARIMA) (0, 0, 0) were used to identify trends and validate statistically significant relationships between key business variables and performance outcomes. The alternative hypothesis is supported by the statistically significant upward trend in net profit values during the observed timeframe. An anomaly in 2022–23 suggests exogenous disruptions. The favourable trend suggests talent development initiatives may be helping sector businesses survive and profit. The primary restriction is the use of secondary aggregate data, which limits individual-level insights into emotional and financial empowerment. By showing the structural economic benefit of targeted skill investments, the findings are useful for policymakers and MSMEs. This study uniquely links government skill development policy (TNSDC) to measurable financial performance (TNTCL data). Statistically, it analyses profit trends in the Tamil Nadu textile sector, highlighting the potential return on investment from workforce development programs.
Keywords: Skill Development; Net Profit; Time Series Analysis; Financial Growth; Textile Industry; Leadership Positions; Deep Integration; Workforce Competency; Industrial Sustainability.
Received: 19/07/2024, Revised: 12/09/2024, Accepted: 05/12/2024, Published: 07/09/2025
DOI: 10.64091/ATIML.2025.000163
AVE Trends in Intelligent Management Letters, 2025 Vol. 1 No. 3 , Pages: 140-149