机关事业单位人员退休意愿及其影响因素研究——基于我国10省市调查数据的实证分析

发布时间：2018-11-17 13:00

【摘要】：调整退休年龄是关乎劳动者退休权益的政策改革,需要深入了解劳动者的退休意愿与影响因素。本文基于我国十省市的调查数据,以机关事业单位人员为研究对象,应用多元Logistic回归模型对机关事业单位人员的退休意愿及其影响因素进行分析。研究发现:(1)在调查样本中,退休意愿为按时退休、提前退休和延迟退休的比例分别为57.4%、36.6%和6.1%;(2)在个人特征方面,人力资本水平较低(年龄越小、健康越差、学历越低)的机关事业单位人员倾向于提前退休,硕士及以上学历人群延迟退休意愿较强;(3)在家庭因素方面,家庭中独立收入来源人数越少的更倾向于提前退休,家庭独立收入来源人数较多的延迟退休意愿较强;(4)在工作因素方面,具有县处级职级和中级职称人员更倾向于延迟退休,而对工作不满意或评价为一般的人员更倾向于提前退休;(5)在养老及政策因素方面,选择机构养老的人员延迟退休意愿较强,了解单位现行退休政策的人员延迟退休意愿较弱。
[Abstract]:Adjusting retirement age is a policy reform related to workers' retirement rights and interests. Based on the investigation data of ten provinces and cities in China, this paper analyzes the retirement intention and its influencing factors of the staff of the government and institutions by using the multivariate Logistic regression model. The results showed that: (1) in the survey sample, the retirement intention was to retire on time, the proportion of early retirement and late retirement were 57.4% and 6.1% respectively; (2) in the aspect of personal characteristics, the lower the level of human capital (the younger the age, the worse the health, the lower the educational background), the staff of the government institutions tend to retire early, and the people with master's degree or above have a stronger desire to delay retirement; (3) in terms of family factors, the smaller the number of independent income sources in the family is more inclined to retire early, and the more the number of independent income sources in the family is more willing to delay retirement; (4) in the aspect of work factors, people with county level and intermediate title are more inclined to delay retirement, while those who are dissatisfied with their work or generally evaluated are more inclined to retire early; (5) in terms of pension and policy factors, those who choose institutional pension have a stronger desire to delay retirement, and those who know the current retirement policy of units have a weaker desire to delay retirement.
【作者单位】：西北大学公共管理学院;
【基金】：教育部哲学社会科学研究重大攻关项目(14JZD026) 陕西省社科基金项目(2016G005)
【分类号】：F249.2

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