Authors : Mkaruka Wamjungu

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/2phhh4z2

Scribd : https://tinyurl.com/4cby9n4h

DOI : https://doi.org/10.5281/zenodo.14575929

Abstract : This study intended to analyze unemployment duration of seafarers in Tanzania. The study determined the influence of socio-economic factors using Kaplan-Meier survival curves, determined socio-demographic influence and the influence of area of residence on unemployment duration of seafarers in Tanzania. The study was executed in Dar es Salaam involving 510 certified Seafarers and the data collection was done electronically through e-questionnaire dispatched to sampled seafarers through email and whatsApp. The analysis revealed that, majority of seafarers were male (94.71%), with a notable minority being female (5.29%). A substantial proportion of seafarers are currently unemployed (60.59%). Most of the seafarers do not possess a Certificate of Competency (COC) (79.22%), potentially impacting their employability. Furthermore, the dataset included individuals employed in various countries, with Tanzania being the predominant employer (83.26%), followed by Zanzibar (13.40%) and other countries with smaller proportions. The average age of seafarers was roughly 33 to 34 years. But also, Seafarers held an average of 2 certifications, suggesting diversity in the qualifications held by Seafarers. The average duration of unemployment among seafarers was about 4 to 5 years, highlighting variability in employment status and potential challenges in securing employment within the maritime industry. Holding a Certificate of Competency (COC) is associated with a substantial decrease in unemployment duration, as evidenced with a high level of significance (p < .001). Besides, seafarers with an Overall Rating certification also experienced a significant decrease in unemployment duration (p < .001). Conversely, other certification statuses such as Mandatory, Diploma, Bachelor's and Master's Degrees do not show significant associations with unemployment duration. However, being male is positively associated with a higher unemployment duration (p < .01). Moreover, age also demonstrated a significant positive relationship with unemployment duration (p < .001). The findings suggested a slight influence of area of residence on unemployment duration, meaning that other factors may play a more significant role.

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