IDEAS home Printed from https://ideas.repec.org/p/kob/dpaper/dp2022-05.html
   My bibliography  Save this paper

Is the Age Structure of the Population One of the Determinants of the Household Saving Rate in China? A Spatial Panel Analysis of Provincial Data

Author

Listed:
  • Jingwen Yin

    (Graduate School of Economics, Kobe University, JAPAN)

  • Charles Yuji Horioka

    (Research Institute for Economics and Business Administration, Kobe University, Asian Growth Research Institute, Institute of Social and Economic Research, Osaka University, Institute of Economic Research, Kyoto University, National Bureau of Economic Research, JAPAN)

Abstract

In this paper, we use provincial panel data on China for the 2002-19 period to conduct a spatial autocorrelation analysis of household saving rates as well as a dynamic panel analysis of the determinants of household saving rates using a spatial Durbin model. To summarize our main findings, we find that, in China, the household saving rate shows significant positive spatial autocorrelation with an overall "high-high" and "low-low" clustering pattern, that, as predicted by the life-cycle hypothesis, the youth dependency ratio and the old-age dependency ratio have a negative and significant impact on the household saving rate, and that the logarithm of per capita household disposable income, the regional economic growth rate, the share of the urban population, the industrialization rate, and the income disparity between urban and rural areas also have a significant impact on the household saving rate.

Suggested Citation

  • Jingwen Yin & Charles Yuji Horioka, 2022. "Is the Age Structure of the Population One of the Determinants of the Household Saving Rate in China? A Spatial Panel Analysis of Provincial Data," Discussion Paper Series DP2022-05, Research Institute for Economics & Business Administration, Kobe University.
    • Handle: RePEc:kob:dpaper:dp2022-05
    as

    Download full text from publisher

    File URL: https://www.rieb.kobe-u.ac.jp/academic/ra/dp/English/DP2022-05.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Angus Deaton & Christina Paxson, 1997. "The effects of economic and population growth on national saving and inequality," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 97-114, February.
    2. Ram, Rati, 1982. "Dependency Rates and Aggregate Savings: A New International Cross-Section Study," American Economic Review, American Economic Association, vol. 72(3), pages 537-544, June.
    3. Charles Yuji Horioka & Junmin Wan, 2007. "The Determinants of Household Saving in China: A Dynamic Panel Analysis of Provincial Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2077-2096, December.
    4. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    5. Aart Kraay, 2000. "Household Saving in China," The World Bank Economic Review, World Bank, vol. 14(3), pages 545-570, September.
    6. Gupta, Kanhaya L, 1971. "Dependency Rates and Savings Rates: Comment," American Economic Review, American Economic Association, vol. 61(3), pages 469-471, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dong-Hyeon Kim & Peiyao Liu & Shu-Chin Lin, 2024. "The moderating role of financial development in the nexus between population aging and saving," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-32, April.
    2. William Joe & Atish Kumar Dash & Pradeep Agrawal, 2015. "Demographic Transition, Savings, and Economic Growth in China and India," IEG Working Papers 351, Institute of Economic Growth.
    3. Yi Wen, 2011. "Making sense of China’s astronomical foreign reserves," Working Papers 2011-018, Federal Reserve Bank of St. Louis.
    4. Liu, Yanjun & Xiao, Hao & Zhu, Shujin, 2013. "Population Aging, Saving Rate and Long-term Economic Growth in China: Based on Dynamic CGE Model," Conference papers 332313, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    5. Belton, Willie & Uwaifo Oyelere, Ruth, 2008. "The Racial Saving Gap Enigma: Unraveling the Role of Institutions," IZA Discussion Papers 3545, Institute of Labor Economics (IZA).
    6. Gu, Xinhua & Tam, Pui Sun, 2013. "The saving–growth–inequality triangle in China," Economic Modelling, Elsevier, vol. 33(C), pages 850-857.
    7. Chang, Xiao & An, Tongliang & Tam, Pui Sun & Gu, Xinhua, 2020. "National savings rate and sectoral income distribution: An empirical look at China," China Economic Review, Elsevier, vol. 61(C).
    8. Ismail, Aisha & Rashid, Kashif, 2013. "Determinants of household saving: Cointegrated evidence from Pakistan (1975–2011)," Economic Modelling, Elsevier, vol. 32(C), pages 524-531.
    9. Aylit T. Romm & Martha Wolny, 2012. "The Impact of Later Retirement Ages on Aggregate Household Savings and Saving Rates: An Analysis of OECD Countries," Working Papers 269, Economic Research Southern Africa.
    10. Li, Hongbin & Zhang, Jie & Zhang, Junsen, 2007. "Effects of longevity and dependency rates on saving and growth: Evidence from a panel of cross countries," Journal of Development Economics, Elsevier, vol. 84(1), pages 138-154, September.
    11. Xie, Shiqing & Mo, Taiping, 2015. "Differences in corporate saving rates in China: Ownership, monopoly, and financial development," China Economic Review, Elsevier, vol. 33(C), pages 25-34.
    12. Johan Fourie, 2012. "The wealth of the Cape Colony: Measurements from probate inventories," Working Papers 268, Economic Research Southern Africa.
    13. Carl Bonham & Calla Wiemer, 2013. "Chinese saving dynamics: the impact of GDP growth and the dependent share," Oxford Economic Papers, Oxford University Press, vol. 65(1), pages 173-196, January.
    14. Rod Tyers, 2008. "Competition Policy, Corporate Saving and China's Current Account Surplus," ANU Working Papers in Economics and Econometrics 2008-496, Australian National University, College of Business and Economics, School of Economics.
    15. Yanbin Chen & Fangxing Li & Zhesheng Qiu, 2013. "Housing and Saving with Finance Imperfection," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 207-248, May.
    16. Shaojie Zhou & Junsen Zhang, 2016. "Chinese Saving Rates from 1953 to 2012: Trends, Compositions and Prospects," Pacific Economic Review, Wiley Blackwell, vol. 21(2), pages 227-252, May.
    17. Kam-Ki Tang & Benjamin ShiJie Wong, "undated". "The Ageing, Longevity and Crowding Out Effects on Private and Public Savings: Evidence from Dynamic Panel Analysis," MRG Discussion Paper Series 3409, School of Economics, University of Queensland, Australia.
    18. Dennis Tao Yang & Junsen Zhang & Shaojie Zhou, 2012. "Why Are Saving Rates So High in China?," NBER Chapters, in: Capitalizing China, pages 249-278, National Bureau of Economic Research, Inc.
    19. Marcos D. Chamon & Eswar S. Prasad, 2010. "Why Are Saving Rates of Urban Households in China Rising?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 93-130, January.
    20. Nelson Mark & Steven Lugauer & Clayton Sadler, 2012. "The Role of Household Saving in the Economic Rise of China," Working Papers 004, University of Notre Dame, Department of Economics, revised Jun 2012.

    More about this item

    Keywords

    Age structure of the population; China; Dependency ratio; Household saving rate; Life-cycle hypothesis or model; Old-age dependency ratio; Spatial autocorrelation; Spatial Durbin model; Youth dependency ratio;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G51 - Financial Economics - - Household Finance - - - Household Savings, Borrowing, Debt, and Wealth
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:kob:dpaper:dp2022-05. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Office of Promoting Research Collaboration, Research Institute for Economics & Business Administration, Kobe University (email available below). General contact details of provider: https://edirc.repec.org/data/rikobjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.