Analysis of the Effect of Upward Migration on the Status of Not in Employment, Education or Training in West Nusa Tenggara

Abstract

This study analyzes the impact of upward migration on the Not in Employment, Education, or Training (NEET) status in West Nusa Tenggara (NTB) Province, utilizing data from the August 2023 National Labor Force Survey (Sakernas). The study employs quantitative descriptive analysis and binary logistic regression, with NEET status as the dependent variable and upward migration, education, work experience, skills training, gender, age, marital status, and regional classification as independent variables. The analysis reveals that 20.97% of NTB's population is classified as NEET, predominantly within the younger age group (15–19 years), with low education levels and unmarried status. Upward migration increases the likelihood of becoming NEET by 7.44%, whereas higher education, work experience, and participation in skills training significantly mitigate this risk. Males and urban residents face a higher risk of NEET status compared to females and rural residents. These findings underscore the need for targeted and comprehensive policies, including expanded access to education, labor market-aligned training programs, and tailored support for return migrants. Such measures are critical for reducing the NEET rate, optimizing the demographic dividend, and fostering regional economic growth.