江西财经大学学报 ›› 2015, Vol. 0 ›› Issue (01): 492-.

• • 上一篇    

“新农保”如何影响农村居民消费——以山东省为例

范辰辰,李 文   

  1. (山东大学 经济学院, 山东 济南 250100)
  • 发布日期:2021-01-21
  • 作者简介:范辰辰,山东大学博士研究生,主要从事农村社会保障、财税理论与实务研究,联系方式fancc_sdu@163.com;李 文,山东大学教授,主要从事财税理论与实务研究。

How New Rural Pension System Affect Consumption of Rural Residents: A Case of Shandong Province

FAN Chen-chen, LI Wen   

  1. (Shandong University, Jinan 250100, China)
  • Published:2021-01-21

摘要: 以山东省135个县(市、区)2007-2012年的面板数据为样本,系统分析了新型农村社会养老保险对农村居民消费的影响及其机制,并在此基础上运用双重差分估计方法进行实证检验。研究发现:新农保对农村居民消费有显著的刺激效应,对其影响机制的进一步分析表明新农保主要通过提高农村居民的消费意愿来增加消费,对其消费能力并无显著影响。新农保的政策效果具有明显的时效性,对消费的促进作用主要体现在试点的第二年,但随着新农保政策运行时间的增加,新农保缴费与收益的关系日渐明确,其对农村居民消费意愿的刺激作用逐渐消失。区域分样本研究结果显示新农保试点主要对社会养老基础薄弱的内陆地区农村居民消费产生影响。

关键词: 新农保,农村居民消费,双重差分估计

Abstract: Taking the panel data of 135 counties (cities or districts) of Shandong province from 2007 to 2012 as samples, this paper makes a systematical analysis of the impact of the New Rural Pension System (NRPS) on the consumption of rural residents and its mechanism; on this basis it conducts an empirical test with the difference–in-difference estimation method. The results show that the NRPS has significant stimulatory effects on the consumption of rural residents; the further analysis of the affecting mechanism indicates that NRPS can increase the consumption mainly through increasing the consuming willingness of the rural residents, but has no significant effects on their consumption ability. The policy effects of NRPS are highly time-sensitive, mainly occurring in the second year of the pilot. However, along with the increased pilot time, the relationship between payment and benefits becomes more explicit, the stimulating effect of NRPS on consumption fades away gradually. The results of regional sub-sample study indicate that the pilot NRPS can generate impact on the consumption of rural residents mainly at the inland areas where the social endowment foundation is vulnerable.

Key words: the new rural pension system; consumption of rural residents; difference-in-difference estimation