Exploring the dropout rates and causes of dropout in upper-secondary technical and vocational education and training (TVET) schools in China. (May 2015)

• Record Type: Journal Article
• Authors: Yi, Hongmei; Zhang, Linxiu; Yao, Yezhou; Wang, Aiqin; Ma, Yue; Shi, Yaojiang; Chu, James; Loyalka, Prashant; Rozelle, Scott
• Is Part Of: International journal of educational development. Volume 42(2015)
• Page Start: 115
• Page End: 123
• Publication Date: 2015-05
• Subjects: Technical and vocational education and training (TVET) -- High school -- Dropout -- China; Education -- Periodicals; Education -- Social aspects -- Periodicals; Education -- Economic aspects -- Periodicals; Education -- Periodicals; Éducation -- Périodiques; Education; Periodicals; 370.11
• DOI: 10.1016/j.ijedudev.2015.04.009
• Languages: English
• ISSNs: 0738-0593

Abstract

Highlights: A dataset from two provinces of China (Zhejiang and Shaanxi) is used to examine the dropout rates of students from upper-secondary technical and vocational education and training schools. The dropout rate is 10.7% for the first academic year as a whole and as high as 22% in Shaanxi (a poorer inland province). Baseline academic performance and maternal education and migration status are strong correlates for student dropout. Abstract: Policymakers in many developing countries regard upper-secondary technical and vocational education and training (TVET) as a key element in economic growth and poverty reduction. Unfortunately, there is evidence that upper-secondary TVET programs in developing countries experience high rates of dropout. The overall goal of this study is to examine the dropout rates and reasons for dropout among upper-secondary TVET students in China. To meet this goal, we have three specific objectives. First, we seek to produce high-quality estimates of dropout rates among students in upper-secondary TVET schools in one coastal and one inland province of China. Second, we seek to identify which students drop out from upper-secondary TVET. Third, we test whether financial constraints, math and computer achievement, and parental education and migration status correlate with TVET dropout. Drawing on data from a survey of 7414 upper-secondary TVET students in two provinces of China, we find dropout rates of 10.7% across both provinces and as high as 22% in poorer inland areas, suggesting major gaps and disparities in Chinese TVET dropout rates. Furthermore, we find that baseline academic performance and maternal education and migration status are strong correlates for student dropout.