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金融研究  2021, Vol. 488 Issue (2): 20-37    
  本期目录 | 过刊浏览 | 高级检索 |
老龄化、消费结构与服务业发展
颜色, 郭凯明, 段雪琴
北京大学光华管理学院,北京 100871;
中山大学岭南学院,广东广州 510275;
中国工商银行广州分行,广东广州 510120
Aging, Consumption Composition and the Development of Services
YAN Se, GUO Kaiming, DUAN Xueqin
Guanghua School of Management, Peking University;
Lingnan College, Sun Yat-sen University;
Guangzhou Branch, Industrial and Commercial Bank of China
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摘要 老龄化程度加深和产业结构变迁是经济发展过程中的普遍现象。本文研究了老龄化对服务业发展的影响,发现随着人均收入提高,一个经济体老年抚养比与服务业比重的关系由负相关转为正相关。本文在多部门一般均衡模型中引入人口年龄结构,提出由于不同年龄群体消费偏好的需求收入弹性和替代弹性存在差异,老龄化通过收入效应和价格效应两个渠道影响消费需求结构,进而影响服务业发展。当老龄化在收入效应渠道上的影响为负、在价格效应渠道上的影响为正时,模型可以解释跨国特征事实。本文结合跨国数据校准了模型参数,之后定量评估了不同环境下老龄化对服务业比重的影响,发现这一影响还取决于老龄化程度和产业间相对生产率。改变产业部门消费率和劳动力转移成本等因素后,定量结果仍保持了较高的稳健性。本文从人口年龄结构视角发展了产业结构转型研究,发现“未富先老”不利于服务业发展,并以此就我国应对老龄化和发展服务业进行了政策讨论。
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颜色
郭凯明
段雪琴
关键词:  老龄化  产业结构转型  服务业  人口年龄结构    
Summary:  Most economies that have undergone industrialization have found that the age structure of the population and the industrial structure have also changed. This change in age structure is known as the aging problem, and it is the demographic result of a lower fertility rate and longer life expectancy. The change in the industrial structure is known as “Kuznets facts,” a set of trends that includes a rising share of services, a falling share of agriculture, and an inverted-U shaped share of manufacturing. The development of China's economy during the reform era has exhibited these trends, but with some critical problems. First, China's population is rapidly aging, but China is still a middle-income country. Thus, the onset of the aging problem before China becomes a high-income country may hinder further development. Second, although the share of services has grown steadily in China, it is still relatively low, and its structure should be improved. In fact, the processes of population aging and structural change are not taking place independently. Based on cross-country data from recent decades, this paper finds that the relationship between population aging and the share of services depends on economic development. As per-capita income rises, the relationship changes from negative to positive.
This paper incorporates the age structure into a two-sector model with an income effect and a price effect, and studies the effect of aging on the rise of services. In the model, people of different ages have various preferences for goods and services. In particular, elasticities of income for goods or services and the elasticity of substitution between them can change with age. The paper shows that aging can change the share of services through the mechanisms of the income effect and the price effect. For the income effect mechanism, the direction of the effect of aging depends on the survival level of consumption for goods, and the magnitude depends on per-capita consumption. For the price effect mechanism, the direction of the effect of aging depends on the magnitude of the effect of relative price on the consumption composition for people of different ages. When per-capita income is low, the income effect dominates, so the effect of aging on the share of services is negative. However, as per-capita income grows, the income effect diminishes, while the price effect becomes the dominant mechanism, causing the effect of aging on services to change from negative to positive.
We calibrate the model with cross-country data from 1995-2010, and quantitatively evaluate the effect of aging on the share of services in different circumstances. We find that the effect of aging also depends on the degree of aging and the relative productivity between sectors. Moreover, when the elasticity of substitution between goods and services is low for young people and high for old people, or older people's survival level of consumption for goods is low, a rising degree of aging is likely to increase the share of services. The results are robust if we change the consumption rate of sectoral output or the labor mobility cost.
We derive two policy implications from the findings. First, our findings are helpful for evaluating the effect of aging on the share of services in different countries. The results not only explain the stylized fact that the effect of aging on services changes from negative to positive along with development, but also highlight the factors that influence the effect of aging in different countries. In developing countries like China, per-capita consumption is low, so aging before becoming a high-income country could hinder the rise of services. In developed countries, the effect of aging may differ, depending on its degree. Thus, to evaluate the effect of aging on industrial structure in different countries, it is necessary to pay attention to factors like the differences in the preferences of people of different ages, the level of per-capita consumption, and the degree of aging.
Second, we suggest that China's government should deal with the aging problem and develop services in the following ways. First, ensuring that per-capita income grows steadily and increasing the share of private consumption could diminish the negative effect of aging on services. Second, lowering the relative price of services by increasing the relative productivity of the service sector could also diminish the negative effect of aging on services. Third, decreasing the wage gap between sectors and removing institutional barriers in labor mobility could promote the development of services. Fourth, developing producer services to increase the value-added share of services in investment goods could attract more labor to produce investment goods in the service sector.
Keywords:  Aging    Structural Change    Services    Age Structure
JEL分类号:  J11   O11   O14  
基金资助: * 本文感谢国家自然科学基金项目(71973006,71973156)、国家社会科学基金项目(17ZDA049,19ZDA069)、广东省自然科学基金项目(2019A1515011287)资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  郭凯明,经济学博士,副教授,中山大学岭南学院,E-mail:guokm3@mail.sysu.edu.cn.   
作者简介:  颜 色,经济学博士,副教授,北京大学光华管理学院,E-mail:seyan@gsm.pku.edu.cn.段雪琴,经济学硕士,中国工商银行广州分行,E-mail:duanxueqin1210@163.com.
引用本文:    
颜色, 郭凯明, 段雪琴. 老龄化、消费结构与服务业发展[J]. 金融研究, 2021, 488(2): 20-37.
YAN Se, GUO Kaiming, DUAN Xueqin. Aging, Consumption Composition and the Development of Services. Journal of Financial Research, 2021, 488(2): 20-37.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2021/V488/I2/20
[1] 盖庆恩、朱喜和史清华,2013,《劳动力市场扭曲、结构转变和中国劳动生产率》,《经济研究》第5期,第87~97页。
[2] 郭凯明和颜色,2015,《性别工资差距、资本积累与人口转变》,《金融研究》第8期,第13~30页。
[3] 郭凯明和王藤桥,2019,《基础设施投资对产业结构转型和生产率提高的影响》,《世界经济》第11期,第51~73页。
[4] 郭凯明、潘珊和颜色,2020,《新型基础设施投资与产业结构转型升级》,《中国工业经济》第3期,第63~80页。
[5] 汪伟、刘玉飞和彭东东,2015,《人口老龄化的产业结构升级效应研究》,《中国工业经济》第11期,第47~61页。
[6] 严成樑和徐翔,2016,《生产性财政支出与结构转型》,《金融研究》第9期,第99~114页。
[7] 颜色、郭凯明和杭静,2018,《需求结构变迁、产业结构转型和生产率提高》,《经济研究》第12期,第83~96页。
[8] Acemoglu, Daron, and Veronica Guerrieri. 2008. “Capital Deepening and Non-balanced Economic Growth” Journal of Political Economy, 116: 467~498.
[9] Cai, Wenbiao. 2015. “Structural Change Accounting with Labor Market Distortions” Journal of Economic Dynamic & Control, 57: 54~64.
[10] Dekle, Robert, and Guillaume Vandenbroucke. 2012. “A Quantitative Analysis of China's Structural Transformation” Journal of Economic Dynamic & Control, 36: 119~135.
[11] Duarte, Margarida, and Diego Restuccia. 2010. “The Role of the Structural Transformation in Aggregate Productivity” Quarterly Journal of Economics, 125: 129~173.
[12] Guo, Kaiming, Jing Hang, and Se Yan. 2017. “Servicification of Investment and Structural Transformation: The Case of China” SSRN Working Paper, no. 3061631.
[13] Herrendorf, Berthold, Richard Rogerson, and Akos Valentinyi. 2013. “Two Perspectives on Preferences and Structural Transformation” American Economic Review, 103: 2752~2789.
[14] Kongsamut, Piyabha, Sergio Rebelo, and Danyang Xie. 2001. “Beyond Balanced Growth” Review of Economic Studies, 68: 869~882.
[15] Leukhina, Oksana M., and Stephen J. Turnovsky. 2016. “Population Size Effects in the Structural Development of England” American Economic Journal: Macroeconomics, 8: 195~229.
[16] Ngai, L. Rachel, and Christopher A. Pissarides. 2007. “Structural Change in a Multisector Model of Growth” American Economic Review, 97: 429~443.
[17] Ungor, Murat. 2017. “Productivity growth and labor reallocation: Latin America versus East Asia” Review of Economic Dynamics, 24: 25~42.
[18] Uy, Timothy, Kei-Mu Yi, and Jing Zhang. 2013. “Structural Change in an Open Economy” Journal of Monetary Economics, 60: 667~682.
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