Author
Abstract
The feature of Chinese demographic structure is changing from a high fertility rate, high death rate and low life expectancy to low fertility rate, low death rate and high life expectancy, and the phenomena of ageing population in coming future will become more serious. The data of Sixth National Population Census show that the ageing rate of the population is higher than expectations, the share of population with age 60 years and above is 13.26%, the share of population with age 65 years and above is 8.87%; average number of members of each household is 3.10 persons, this figure is 0.34 person less than 3.44 persons of Fifth National Population census in 2000. This demographic change has not only increased the burden of social security pension and reduced the active labor force; it will also influence the saving rate and consumption structure and further affect the economic structure and sustainability of China’s economic development. CGE has been applied to many research areas, but the papers considering the population age structure factors in the CGE model are not a lot. With the aging of the population received extensive attention, some foreign scholars began to use the CGE model studying the aging of the population, such as Sang Gyoo's Yoon, Geoffrey J.D.Hewings (2006), Euijune Kim, Geoffrey J.D. HewingsHeedeok Cho (2011), Seryoung Park, Geoffrey J.D. Hewings (2010). But CGE model study considers more about the size of the labor supply, the homogeneity of the representative consumer assumption, but does not take into considering that the aging will affect the economy from consumption aspect. In fact, with the economic development, the growth of life, and the higher levels of education, it results in the extension of the retirement age, which may make the labor force did not declined as imagined, especially as a country with a large population. At the same time, changes in consumer behavior of people of different ages may be larger and more important, Hewing (1982, 1989) pointed out that the household sector and consumer behavior in the CGE model is very important, the family of different age structure generally have different consumption patterns. Therefore, by improving the DRC-CGE model and introducing variables to characterize the structure of household consumption patterns in the demand side, the paper study different population policy and the family demographic changes on economic growth and industrial structure, to provide policy recommendations on population policy orientation. This paper starts the study to analyze change of consumption structure of household of various age structure based upon survey data (2003-2007) of CHIPS (Chinese Household Income Project) to explore the changing relationship between China’s demographic structure and consumption structure. Then according to the head of household age and family size of the household, we divided the households in the CGE model into 12 groups (six groups in rural and urban areas respectively) to capture the relation between consumer behavior and demographic structure, and analyze the impact of demographic change under three different population policies scenarios on the China’s economic growth and structure change using DRC dynamic recursive CGE model.
Suggested Citation
Li, Shantong & He, Jianwu, 2013.
"Impacts of Population Aging on Economic Growth and Structure Change in China,"
Conference papers
330256, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
Handle:
RePEc:ags:pugtwp:330256
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pugtwp:330256. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.