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- W4381337462 abstract "Aims: There are very few online motorcycle taxi drivers (informal workers) who are enrolled in the Work Accident Protection program, while online motorcycle taxi drivers have a high risk of work accidents. The purpose of this study was to determine the effect of income, last education level, and knowledge of the program on the Willingness to Pay (WTP) value of Work Accident Protection for Online Motorbike Drivers and to determine the value of WTP Work Accident Protection for Online Motorbike Drivers.
 Study Design: This study used Ordinary Least Square(OLS) and Contingent Valuation Method (CVM).
 Place and Duration of Study: The scope of this research is Go-Jek Motorcycle online drivers who are in Bandar Lampung for the 2022 time period.
 Methodology: In this study, Survey was conducted on 100 online motorbike drivers in Bandar Lampung city to get the results of this study. This study uses qualitative methods. To find the determinants of variables using Ordinary Least Square (OLS) and used CVM to calculate WTP value.
 Results: The results of this study are that the variables Income, Education, and knowledge about the program have a positive and significant effect on the Willingness to pay (WTP) value for Work Accident Protection. WTP value for Work Accident Protection is IDR 10,800.
 Conclusion: Based on the regression results, it is found that the variables income, education, and knowledge about the program had a positive and significant effect on the WTP variable. Based on the results of calculations using the CVM method, the WTP value for Work Accident Protection is Rp. 10,800. BPJS Ketenagakerjaan must further increase knowledge about the program and benefits of Employment Social Security to increase the desire of workers to become participants." @default.
- W4381337462 created "2023-06-21" @default.
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- W4381337462 date "2023-06-20" @default.
- W4381337462 modified "2023-10-03" @default.
- W4381337462 title "Analysis of Willingness to Pay Working Accident Protection for Online Motorcycle Drivers" @default.
- W4381337462 doi "https://doi.org/10.9734/ajeba/2023/v23i161031" @default.
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