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Population aging, consumption budget allocation and sectoral growth

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  • Mao, Rui
  • Xu, Jianwei

Abstract

This paper assesses the heterogeneous effects of population aging on personal budget allocation across sectors. Using China's household survey data, we break down each household expenditure component into its constituent members. We find consistent and robust age profiles of the composition of personal consumption expenditures. Young people spend larger proportions of their budget on food and education, culture, and recreation services. The middle-aged spend significantly more on clothing and transportation and communication. Lastly, the elderly spend substantially more on food and health care and medical services. After controlling for period and cohort effects as well as other socio-economic factors, we still find age to be a fundamental driver of consumption budget allocation. We also incorporate the estimated results into the population forecast data and predict the evolution of China's consumption budget allocation patterns driven by demographic change.

Suggested Citation

  • Mao, Rui & Xu, Jianwei, 2014. "Population aging, consumption budget allocation and sectoral growth," China Economic Review, Elsevier, vol. 30(C), pages 44-65.
    • Handle: RePEc:eee:chieco:v:30:y:2014:i:c:p:44-65
    DOI: 10.1016/j.chieco.2014.05.004
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    Cited by:

    1. Xin Zhang & Chenhui Ding & Chao Liu & Xianzhong Teng & Ruoman Lv & Yiming Cai, 2023. "The Bilateral Effects of Population Aging on Regional Carbon Emissions in China: Promotion or Inhibition Effect?," Sustainability, MDPI, vol. 15(23), pages 1-17, November.
    2. Démurger, Sylvie & Wang, Xiaoqian, 2016. "Remittances and expenditure patterns of the left behinds in rural China," China Economic Review, Elsevier, vol. 37(C), pages 177-190.
    3. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    4. Shuyu Li & Qiang Wang & Rongrong Li, 2024. "How aging impacts environmental sustainability—insights from the effects of social consumption and labor supply," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    5. Laddawan Kaewkitipong & Charlie Chen & Peter Ractham, 2021. "Examining Factors Influencing COVID-19 Vaccine Tourism for International Tourists," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    6. GOLLEY, Jane & WEI, Zheng, 2015. "Population dynamics and economic growth in China," China Economic Review, Elsevier, vol. 35(C), pages 15-32.
    7. Xinru Han & Ping Xue & Wenbo Zhu & Xiudong Wang & Guojing Li, 2022. "Shrinking Working-Age Population and Food Demand: Evidence from Rural China," IJERPH, MDPI, vol. 19(21), pages 1-15, November.
    8. Byaro, Mwoya & Kinyondo, Abel & Michello, Charles & Musonda, Patrick, 2018. "Determinants of Public Health Expenditure Growth in Tanzania: An Application of Bayesian Model," African Journal of Economic Review, African Journal of Economic Review, vol. 6(1), January.

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    More about this item

    Keywords

    Personal budget allocation; Population aging; Unbalanced growth; Age effect; Domestic consumption;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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