人口研究 ›› 2012, Vol. 36 ›› Issue (3): 104-112.

• 论文 • 上一篇    

农村计划生育与农民生活满意度研究

罗小锋   

  1. 华中农业大学经济管理学院
  • 出版日期:2012-05-29 发布日期:2012-11-07
  • 作者简介:华中农业大学经济管理学院
  • 基金资助:

    国家社会科学基金(11CJY055);教育部人文社会科学研究(10YJCZH105)项目

Rural Family Planning and Farmers′ Life Satisfaction

Luo Xiaofeng   

  1. Huazhong Agricultural University of Economics & Management,Hubei Rural Development Research Center
  • Online:2012-05-29 Published:2012-11-07
  • About author:Huazhong Agricultural University of Economics & Management,Hubei Rural Development Research Center

摘要: 基于6个省1586户农户的问卷调查数据,运用次序Logit模型,探讨农村计划生育、农村卫生事业、区域环境特征、农民个人特征、家庭特征对农民生活满意度的影响。结果表明,农村计划生育的两个因素中只有是否享受奖扶政策对农民生活满意度有显著影响,是否受过超生惩罚对农民生活满意度没有显著影响,农村卫生事业的两个因素,参加新型合作医疗制度以后看病是否改善和医疗支出负担对农民生活满意度都有显著的影响。根据分析结果提出以下政策建议:在今后的农村公共事业发展中,政府应渐进增加农村公共事业支出比重,进一步完善利益导向政策体系,适当提高奖励扶助标准,加大对农村超生家庭的处罚力度,使惩罚标准与收入及财产相对应。

关键词: 农村计划生育, 农民, 生活满意度, 次序Logit模型

Abstract: Drawing upon data from a survey of 1586 farmers in 6 provinces in China,this paper examines impacts of rural family planning work,rural health services,regional environmental characteristics,farmer’s personal characteristics,and family characteristics on farmers’ life satisfaction using ordinal logit model.Results show that rural rewarding and supporting policy in family planning has significant impact on farmers’ life satisfaction,while punishment for out-of-plan births has no significant impact.Two factors of rural health services,treatment improvement after participating in the new cooperative medical care system and the burden of medical expenses,have significant impact on farmers’ life satisfaction.Following policy recommendations are proposed: government should gradually increase the proportion of the expenditure in public services in rural areas,further improve the system of interest-oriented policy,properly upgrade incentives and assistance,and increase the punishment on the rural families for out-of-plan births corresponding to their income and property.

Keywords: Rural Family Planning, Farmers, Life Satisfaction, Ordinal Logit Model