世界经济 ›› 2019, Vol. 42 ›› Issue (8): 25-49.

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城市规模、通勤成本与居民储蓄率:来自中国的证据

章元, 王驹飞   

  1. 复旦大学经济学院 上海市国权路600号 200433
  • 出版日期:2019-08-10 发布日期:2019-08-17
  • 通讯作者: 王驹飞(通讯作者),电子信箱:wjfcalculus@126.com E-mail:wjfcalculus@126.com
  • 作者简介:章元,电子信箱:zhangyuanfd@fudan.edu.cn
  • 基金资助:
    教育部人文社科重点研究基地重大项目《结构变迁、城市发展与中国经济增长》(17JJD790005)的阶段性成果。

City Size, Commuting Cost and Household Savings Rate: Evidence from China

Zhang Yuan, Wang Jufei   

  • Online:2019-08-10 Published:2019-08-17

摘要: 经济学文献长期以来忽视了一个重要经济现象:大城市居民的储蓄率低于中小城市居民的储蓄率。本文提出理论假说对此现象给出解释:大城市居民比中小城市居民需要更长的通勤时间(或通勤支出),这会减少他们的闲暇时间,从而更多地购买服务以增加闲暇,而这会降低他们的家庭储蓄率。我们利用中国地级市面板和城镇住户调查数据展开经验分析,并利用工具变量解决内生性问题,结果发现无法推翻上述假说。本文指出的经济现象和提出的理论假说具有两方面的重要意义:第一,建立了城市规模与居民储蓄率之间的联系,有助于理解城市居民储蓄率的决定因素;第二,为中国制定拉动内需和城市人口与产业管理等系列政策提供了重要启示:鼓励发展大中城市有助于扩大内需和带动服务业发展,大中城市不应限制为本地居民提供服务的外来劳动力流入。

关键词: 城市规模, 居民储蓄率, 通勤成本, 服务消费

Abstract: This paper highlights an important economic phenomenon that has been ignored by the existing literature:the household savings rate in big cities is lower than that in small and medium-sized cities. This paper proposes a theoretical hypothesis in order to explain this phenomenon:households in big cities have a longer commuting time (or higher commuting costs) than those in small and medium-sized cities and, as a result, their leisure time is reduced. For this reason, households in big cities consume more services in order to improve their leisure time and, consequently, their savings rate is reduced. Using China's prefectural-level panel data and urban household survey data, the empirical evidence in this paper finds that the hypothesis cannot be rejected. The proposed theoretical hypothesis and empirical results of this paper not only help to understand the determinants of the urban household savings rate, but also shed light on the formulation of a series of policies in China to stimulate domestic demand and manage labour migration in big cities. China should modify its limits on rural-urban labour migration, encouraging the development of large and medium-sized cities, which in turn will help expand domestic consumption and promote the development of the urban services industry.

Key words: city size, household savings rate, commuting cost, service consumption

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