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基于有序Probit模型的国有林场职工生活满意度影响因素研究——以江西省为例
作者单位:;1.北京林业大学经济管理学院
摘    要:利用2012年对江西省8个城市进行调查所得的1 262份有效问卷,引入不同的影响因素,构建多元选择模型——有序Probit模型,对林场职工生活满意度进行分析的结果表明:国有林场职工生活满意度普遍较低。在家庭特征变量中,影响职工生活满意度的主要因素是职工家庭户均年收入;在劳动条件变量中,影响职工生活满意度的主要因素是林场组织培训;在认知程度变量中,影响职工生活满意度的主要因素是林场与职工关系以及职工压力。职工家庭户均年收入、林场组织培训、林场与职工关系这三个是正相关因素,而职工压力因素是负相关因素。在实证研究的基础上,有针对性地提出了合理的措施。

关 键 词:职工生活  国有林场  生活满意度  有序Probit模型  影响因素

Research on Life Satisfaction Influencing Factors of State-Owned Forest Farm Workers Based on Ordered Probit Model——With Jiangxi province for example
Institution:,Economics and Management College,Beijing Forestry University
Abstract:The state-owned forest farm is an important foundation for China's forestry development and Forestry workers who are the main force to promote the development should be paid close attention to.In order to further explore the current status of workers' life in state-owned forest farm,a questionnaire survey was conducted in Jiangxi Province. This study used the 1262 valid questionnaires of eight surveyed cities in Jiangxi province in 2012,added different influence factors to construct multiple choice model-Ordered Probit model and explored the life satisfaction of forestry workers. The analyses show that workers have generally low life satisfaction. In the family characteristics variables,life satisfaction household annual income. In working conditions variables,life satisfaction is mainly influenced by training factor. In cognitive variables,life satisfaction is mainly influenced by relationship between forestry farm and workers and stress factors. The first three factors are positive factors,and the stress factor is a negative one. In the end,the study puts forward reasonable suggestions on the basis of this empirical analysis,which will not only help increase the awareness of state-owned forest reform,but also help improving the forestry workers' income,living conditions,welfare policies and quality of life.
Keywords:workers' life  state-owned forest farm  life satisfaction  ordered Probit  influencing factors
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