The Study of Taiwan Maternity Leave Demand Statistical Survey and Decision Analysis

Jun-yuan KUO, Cheng-ju LEE, Chien-yun DAI

Abstract


The global problem of low birth rate is worsening day by day. It is an important current policy to encourage female workers to give birth to the next generation. In order to protect women’s rights and interests in physical recovery after giving birth and infant health protection, the maternity leave system has been extended from 8 weeks to 14 weeks in line with the international standard. The decision-making process depends on the publicity of maternity leave salary by government departments and the decision-making analysis of corporate employers' responsibilities. This study will collect and analyze the international community's literature on the development of maternity leave, explore the causal relationship and importance between government departments and enterprises in evaluation factors in decision-making, and assist with research methods such as questionnaire statistical surveys of quantitative research and provide specific suggestions as references for relevant policies. This paper discusses Taiwan's assessment of the feasibility of establishing a publicity mechanism for the maternity leave system. The results of the study show that, according to the fund sources recommended by the International Labour Organization (ILO) such as state responsibility (social insurance), employer responsibility, mixed responsibility (joint responsibility of employer responsibility and state responsibility), and the research methods such as questionnaire survey and statistical analysis, the following specific suggestions on decision-making analysis for government departments are proposed: Actively promote the consolidation of laws on protection for maternity leave rights and interests. Construct the salary publicity system for maternity leave. Rights and interests protection system to eliminate discrimination against pregnant women.

Keywords


Maternity leave system, Maternity protection, Pregnancy discrimination, Statistical survey, Decision-making analysis


DOI
10.12783/dtetr/amsms2019/31850

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