摘    要：目的：了解全面开放“二胎政策”后在校大学生生育观现状，并初步探寻影响生育观的主要因素。方法：采用分层随机整群抽样的方法对杭州师范大学共430名大学生进行问卷调查，对生育观各维度进行调查分析。在不同人口学特征下各维度进行卡方检验，对影响因素进行非条件logistic回归分析。结果：1.在生育时间和间隔中，理想生育年龄在父亲文化水平（χ2=18.762，P＜0.01）间差异具有统计学意义；理想生育间隔在不同家庭居住地（χ2=12.867，P＜0.01）、是否独生子女（χ2=7.428，P＜0.05）、父亲文化水平（χ2=27.607，P＜0.01）差异均具有统计学意义。2.生育方式中，生育方式决定权在不同性别（χ2=161.596，P＜0.01）之间差异具有统计学意义。3.抚养方式的选择在是否独生子女（χ2=10.864，P<0.05）、平均月消费水平（χ2=21.302，P<0.01）间差异具有统计学意义；抚养责任在不同性别（χ2=8.546，P＜0.05）间差异具有统计学意义。4.生育数量中，生育意愿在不同家庭居住地（χ2=10.61，P＜0.05）、月平均消费水平（χ2 =17.400，P＜0.01）间差异具有统计学意义；二胎生育意愿在不同性别（χ2 =15.924，P＜0.01）、不同家庭居住地（χ2=7.561，P＜0.05）、是否独生子女（χ2=13.808，P＜0.01）、父亲文化水平（χ2=13.824，P＜0.01）间差异具有统计学意义。5.生育质量中，教育期望在不同家庭居住地（χ2 =12.769，P＜0.01）差异具有统计学意义。6.生育性别偏好在不同家庭居住地（χ2=6.338，P＜0.05）、父亲文化水平（χ2 =22.045，P＜0.01）间差异具有统计学意义。结论：性别、是否独生子女、不同家庭居住地、月平均消费水平、父亲文化水平会对生育观的部分维度有影响。

关键词：大学生； 生育观； 影响因素

ABSTRACT ：Objective: This study examined the attitude towards childbearing among college students after the implementation of the new second-child policy（allowing couples to have a second child if one of the parents is the only child in his or her family）, initially explore the main factors affecting the concept of fertility. Method: Stratified random cluster sampling was used to investigate 430 college students from Hangzhou Normal University. Chi square test was conducted in all dimensions under different demographic characteristics, and logistic regression analysis was conducted on the influencing factors. Results: 1 In the time and interval of birth, the differences of ideal fertility age at father's cultural level (χ2=18.762,P<0.01) had statistical significance, and the difference of ideal birth spacing in growth environment (χ2=12.867,P<0.01), single child (χ2=7.428,P<0.05), and father's cultural level (χ2=27.607,P<0.01)  had statistical significance. 2 In the birth mode, the difference of the decision making power between different sexes (χ2=161.596,P<0.01) was statistically significant. 3 The difference between the choice of parenting style in the single child (χ2=10.864,P<0.05) and the average monthly consumption level (χ2 =21.302,P<0.01) was statistically significant, and the difference between the dependency responsibility (χ2=8.546, P<0.05) was statistically significant. 4 In the number of fertility, the difference of fertility intention between different growth environments (χ2=10.61, P<0.05) and the average monthly consumption level (χ2 =17.400, P<0.01) was statistically significant; the birth intention of second birth was in different sex (χ2=15.924, P<0.01), different growth environment (χ2=7.561, P< 0.05), and whether the only child (χ2=13.808, P<0.01) and father's educational level (χ2=13.824, P<0.01) were statistically significant. 5 In terms of fertility quality, education expectancy was statistically significant in different growth environment (χ2=12.769, P<0.01). 6 The difference of fertility preference between different growth environment (χ2=6.338, P<0.05) and father's cultural level (χ2=22.045, P<0.01) had statistical significance. Conclusion: gender, whether only child, different growth environment, average monthly consumption level, father's cultural level and grade will have some influence on some dimensions of childbearing outlook.  二胎政策下的大学生生育观现状调查及分析:http://www.chuibin.com/guanli/lunwen_205963.html