Empowering Tribal Communities: Unveiling the Role of Skill Proficiency, Demographics, and Economic Pathways in Wayanad
Economic Empowerment; Skill Proficiency; Tribal Communities
The complex relationship between skill proficiency, demographics, and economic empowerment among the tribal communities in Kerala's Wayanad district is examined in the study Empowering Tribal Communities, Unveiling the Role of Skill Proficiency, Demographics, and Economic Pathways in Wayanad. The study examines how gender, age, income, and education affect skill development and how that affects resilience and economic prospects using a quantitative research approach. Important insights are revealed by stratifying data from a representative sample of 200 tribal members based on important demographic characteristics. Chi-Square tests, regression models, and structural equation modelling (SEM) are examples of descriptive and inferential techniques that show how skill development promotes economic inclusion. The findings indicate that skill competency is strongly correlated with higher education levels (p?<?0.0001) and has a significant impact on monthly income levels (R2?=?0.263, p?<?0.05). Nevertheless, neither gender nor skill proficiency were shown to be significantly correlated with skill type or age group (p?>?0.05). The SEM framework's path analysis shows that skill development directly improves market connections (??=?0.55), digital literacy (??=?0.70), social inclusion (??=?0.50), and economic possibilities (??=?0.65), all of which contribute to economic empowerment (??=?0.40). However, these effects are sometimes hampered by obstacles like restricted access to resources. The results highlight the need for focused skill-development programs that tackle educational inequalities and infrastructure obstacles. Policymakers, educators, and community organisations looking to improve tribal communities through customised interventions that promote socioeconomic stability and resilience in the face of persistent difficulties can benefit from the practical insights this research offers. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Lecture Notes in Networks and Systems;Volume;1570 LNNS;pp.9-19
Springer Science and Business Media Deutschland GmbH
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1007/978-3-032-00329-4_2 https://www.scopus.com/pages/publications/105021799948?origin=resultslist
Remmiya Rajan P., Department of Economics-Zamorins Guruvayurappan College, Calicut University, Thenhipalam, India; Rishikesh K.B., CHRIST (Deemed to Be University), Bangalore, India