摘要
在参阅了大量现有研究成果中关于贫困脆弱性理论与测度方法的基础上,选择了多层次随机回归分析方法,在社区与家庭两个层面进行变量设定,利用HLM7软件实现了模型建立,应用2012年黑龙江省国有林区9个林业局的林业职工家庭调查的横截面数据,实证分析了影响黑龙江省国有林区职工家庭贫困脆弱性的因素。分析结果表明:家庭规模、家庭负担比、是否在林场或经营区对家庭贫困脆弱性呈正向影响;户主年龄、家庭资产指数、社区人均收入水平对家庭贫困脆弱性呈负向影响。依据研究结果,建议在国有林区生态功能区建设以及二期天保工程建设期间,应充分重视林区的民生工程,重点建设林区社区保障体系,大力发展林下经济,增强林区职工的生计能力。
Refer to a lot of research about Vulnerability to poverty theory and measurement method, the multi-level random regression model was selected. The variables were setting in the community and family two levels. Then build models using the HLM7 software. Using the cross-sectional data of workers household livelihoods which survey completed in 2012, to make an empirical analysis about influence factors of vulnerability to poverty. Results show that family size, proportion of family burden and living in the forest farm positively impact on vulnerability to poverty. Meanwhile, age of household head, household asset index and community average revenue negatively impact on it. The results are conducive to propose some targeted policies. The government should seize the historic opportunity, consummate the basic security system, vigorously develop the under-forestry economy, and ultimately enhance the livelihoods of forest workers.
出处
《林业经济问题》
北大核心
2014年第1期1-7,共7页
Issues of Forestry Economics
基金
国家社会科学基金项目(11CJY021)
教育部人文社会科学研究项目(12YJA790218)
关键词
国有林区
职工家庭
贫困脆弱性
多层次随机回归模型
HLM7
state-owned forest region
workers household
vulnerability to poverty
multi-level random regression model
HLM7
