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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/80886


    Title: 婚姻暴力之實證研究;An Empirical Study of Marital Violence
    Authors: 陳佳郁;Chen, Chia-Yu
    Contributors: 產業經濟研究所在職專班
    Keywords: 婚姻暴力;受暴婦女;羅吉特迴歸模型;排序性機率迴歸模型;marital violence;battered women;logit model;ordered logit model
    Date: 2019-07-11
    Issue Date: 2019-09-03 15:14:07 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 家庭暴力是自古以來普遍存在的問題,根據過往統計,家庭暴力的受害者多數為女性,而多項研究顯示受暴女性因長期受暴而累積多重之生理、心理創傷,若家庭中有扶養孩子,更可能使目睹暴力的兒童學習暴力行為,讓暴力持續循環。為提早發現可能發生婚姻暴力的高風險家庭,以保障婦幼都能擁有免於恐懼的生活,本研究利用衛生福利部2015年「婦女生活狀況調查」問卷結果,以羅吉特迴歸模型,歸納臺灣地區之已婚受暴婦女個人、家庭基本狀況,以及各縣市環境因子對家庭暴力發生率、是否發生特定暴力型態、次數的可能影響,再探討受暴婦女對政府政策的期望。
    實證結果顯示新住民、扶養6歲以下子女、領取補助家庭、妻子有工作而丈夫無工作,對婚姻暴力機率及次數有顯著正向的相關性,年齡、教育程度則有負向的保護效果;在不同婚姻暴力類型間,顯著之自變數有所差異,代表婚姻暴力類型間存在成因上之差別;而受暴婦女於本身有工作但丈夫卻失業時,最希望政府加強促進兩性平權之措施。;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.
    Appears in Collections:[Executive Master of Industrial Economics] Electronic Thesis & Dissertation

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