| dc.description.abstract | Domestic violence is historically a common problem. According to past statistics, the majority of the victims of domestic violence are women. Many studies have shown that women who have suffered prolonged domestic violence are prone to multiple physical and psychological traumas. If there are children in the families, children who witness domestic violence tend to be violent as well. Domestic abuse then leads to cycles of violence. To locate high-risk families where marital violence is likely to happen, and to ensure that women and children can live free from fear, this study draws from Women’s Living Condition Survey in 2015 conducted by the Ministry of Health and Welfare, and uses logit regression model to identify possible impacts on personalities of the abused women, family conditions, environmental factors in the probabilities and types of violence, frequency of abuse, and then explores the expectations of the battered women toward government policies.
The empirical results show that new residents, mothers whose children are under 6 years old, families which receive social welfare benefits, and wives who work and whose husbands are jobless, have significant positive correlations with the probability and frequency of marital violence, while age and education have negative protective effects. Among the types of marital violence, there are significant differences between the self-variables, indicating that different reasons lie behind different types of domestic abuse. For women who work while their husbands are unemployed, that the government could strengthen the measures for promoting gender equality is of utmost importance. | en_US |