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People's Party Caucus Proposes Five Labor Law Amendments Ahead of Labor Day

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Ahead of Labor Day, the People's Party Caucus has put forward five key labor law amendment directions. These include increasing the employer's contribution rate for the labor retirement pension from 6% to 8%, removing the six-month cap on severance pay, extending maternity leave from eight to ten weeks, and extending parental leave benefits to nine months, aiming to strengthen worker protections.

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Frequently Asked Questions

Q: What are the main labor law amendments proposed by the People's Party Caucus?
A: The proposals include increasing the employer's contribution rate for the labor retirement pension from 6% to 8%, removing the six-month cap on severance pay, extending maternity leave from eight to ten weeks, and extending parental leave benefits to nine months.
Q: What is the rationale behind extending maternity leave and parental leave benefits?
A: The extension of maternity leave aims to align with international labor standards, specifically the ILO conventions. The increase in parental leave benefits is intended to provide better support for families.
Q: What is the People's Party Caucus's stance on forced labor and migrant worker rights?
A: The caucus supports prohibiting forced labor and the import of products made through forced labor, aligning with the goal of establishing Taiwan as a nation based on human rights, especially in light of upcoming US tariff decisions.
Q: What is the People's Party Caucus's position on police and firefighter unions?
A: The caucus supports the formation of unions by police and firefighters, advocating for their right to organize and negotiate, and has proposed amendments to the Trade Union Act to this effect.
Q: What are the People's Party Caucus's plans regarding the "three-shift nurse-to-patient ratio"?
A: The caucus intends to strongly push for amendments to the "Medical Care Act" to legislate the "three-shift nurse-to-patient ratio," proposing the establishment of a consultative committee with diverse representation to regularly review the data.