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作 者:师丽娟[1] 李锐[2] SHI Li-juan;LI Rui(School of Economics & Management,Beihang University,Beijing 100191,China;Business School,Beijing Normal University,Beijing 100875,China)
机构地区:[1]北京航空航天大学经济管理学院,北京100191 [2]北京师范大学经济与工商管理学院,北京100875
出 处:《管理工程学报》2018年第3期1-8,共8页Journal of Industrial Engineering and Engineering Management
基 金:国家自然科学基金资助重点项目(71133001)
摘 要:本文基于2003-2011农户微观面板数据,利用固定效应工具变量分位数回归模型,分析了农户的社会网络与收入稳定性对其储蓄行为的影响。研究发现:农户社会网络、收入稳定性、家庭人口规模、未成年人口性别比例、保险参与、家庭财富对农户的储蓄率有显著的影响;随着农户储蓄率分位点的上升,社会网络对储蓄行为的影响逐渐减弱;农户储蓄行为表现出显著的U型生命周期特征。The economic phenomenon of high saving rate and low spending rate has existed in China for a long time. The situation is not conducive to expanding domestic demand and developing economy healthily. The saving rate is seriously high in rural areas because of the duality development status between urban and rural districts in China. Thus, the study on rural households' savings, especially on the influence factors of high saving rate makes good sense. There are abundant literatures in influence factors of saving. However, there is very little research on the effect of social network on savings. The social network effects on household economic strategy are very important. Yi Xingjian(2012) studies the effect of social networks on rural household savings behavior, but there are some shortcomings in the research. The endogenous problem of social networks is not taken into account in the paper. In addition, the effect of income stability is not considered. Thus, it is concluded that there is an inverted u-shaped life cycle curve showing in household savings behavior which does not accord with Chinese actual situation. Based on perusing extensively referenced literature, this paper has some important contributions. First, the endogenous of the social network is taken into account. In contrast, a proper social network IV is chosen and its effectiveness is tested in this paper. Second, income stability of the rural household and its endogenous are considered in the analysis of the saving behavior. An income stability variable is deduced from the household income equation. Third, the regression model controls the variable of minors' sex ratio based on China customs. Finally, the quantile regression model based on panel data can eliminate household unobservable heterogeneity and analyze the influence factors for savings quantiles. The paper is organized as follows. We begin in Section 0 by summarizing the introduction. In Section 1, we deduce the saving rate equation from the consumption utility maximization assumpti
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