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The impact of China's Population Aging on Inflation using an Unbalanced Dynamic Panel Model: Using the AMG Estimation Method

  • Journal of Asia-Pacific Studies
  • Abbr : JAPS
  • 2025, 32(3), pp.5~36
  • DOI : 10.18107/japs.2025.32.3.001
  • Publisher : Institute of Global Affairs
  • Research Area : Social Science > Social Science in general
  • Received : July 16, 2025
  • Accepted : September 11, 2025
  • Published : September 30, 2025

Chong-Yan Xu 1 Soyoun Kim 1 Suyeol Ryu 1

1국립경국대학교

Accredited

ABSTRACT

China's aging population, accelerated by an increase in the elderly population and a decrease in the working-age population, affects economic growth, market supply and demand structure, and industrial structure changes, especially by shrinking the demand base, can curb inflationary pressure. This study constructed a dynamic panel based on the New Keynes Phillips curve model using unbalanced panel data from 31 Chinese provinces from 1998-2023, and applied the AMG estimation method to analyze the effect of aging on inflation. As a result of the analysis, it was found that the inflation lag term was estimated to be a negative sign, which has the characteristic of mean regression, and that the proportion of the elderly population and the elderly support ratio, which are aging variables, suppress inflation. In particular, the suppressing effect was stronger in rural areas than in cities. In addition, the output gap, real GDP growth rate per capita, fiscal expenditure, urbanization, and trade openness caused inflation, and real fixed asset investment suppressed it. Therefore, China needs fiscal and monetary policy, expansion of labor participation for the elderly, and social security system reform to cope with the risk of deflation caused by aging. This study provides implications for price stability and macro-policy establishment in an aging society.

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