SSRScientific and Social Research2661-43322981-9946Bio-Byword Scientific Publishing Pty. Ltd.10.26689/ssr.v8i3.14369ArticleSpatial Patterns of Population Ageing and Pension-Fiscal Pressure in the Liaoning Coastal Economic Belthttps://artdesignp.com/journal/SSR/8/3/10.26689/ssr.v8i3.14369JinXiaoming2026832026-04-15Using data from China’s Seventh National Population Census and 2020 economic statistics, this study identifies the spatial configuration of older populations in Liaoning Province, assesses the match between ageing pressure and economic capacity across the coastal economic belt, and estimates fiscal resources released by delayed retirement. Older adults form a belt-like pattern with cohort heterogeneity: ages 60–64 concentrate along the coastal port-industrial corridor and development zones, whereas ages 65+ cluster in districts and industrial neighborhoods. Among six coastal prefecture-level cities, Dalian and Panjin have stronger capacity and lower pressure; Huludao, Dandong, and Jinzhou pair weaker economies with higher pressure; Yingkou is intermediate. Conservatively, pension outlays for ages 60–64 equal 5.54%, 5.53%, and 4.79% of local output in Huludao, Dandong, and Jinzhou. Delayed retirement could reduce spending by 35.663 billion yuan annually (178.315 billion over five years). Policy should prioritize employment support in high-pressure cities and redirect freed funds to industrial upgrading and public services in Dalian and Yingkou.

Zhan H, Xi ZP, Yu SW, 2022, The Chinese Strategy for Actively Responding to Population Ageing. Social Sciences in China, 43(4): 57–76.

Kuitto K, Helmdag J, 2021, Extending Working Lives: How Policies Shape Retirement and Labour Market Participation of Older Workers. Social Policy & Administration, 55(3): 423–439.

Li H, Mérette M, 2005, Population Ageing and Pension System Reform in China: A Computable Overlapping-generations general Equilibrium Model Analysis. Journal of Chinese Economic and Business Studies, 3(3): 263–277.

Cai Y, Feng W, Shen K, 2018, Fiscal Implications of Population Aging and Social Sector Expenditure in China. Population and Development Review, 2018(44): 811–831.

Wang S, 2020, Spatial Patterns and Social-economic Influential Factors of Population Aging: A Global Assessment from 1990 to 2010. Social Science & Medicine, 2020(253): 112963.

Chen C, Li J, Huang J, 2022, Spatial-temporal Patterns of Population Aging in Rural China. International Journal of Environmental Research and Public Health, 19(23): 15631.

Fang EF, Fang Y, Chen G, et al., 2025, Adapting Health, Economic and Social Policies to Address Population Aging in China. Nature Aging, 5(11): 2176–2187.

Guo Y, Zhou Y, Han Y, 2019, Population Aging in Rural China: Spatial-temporal Pattern and Countermeasures for Rural Revitalization. Geographical Research, 2019(38): 667–683.

Peng R, Huang J, Deng X, 2023, Spatiotemporal Evolution and Influencing Factors of the Allocation of Social Care Resources for the Older Adults in China. International Journal for Equity in Health, 22(1): 222.

Liu H, Bai S, Zhou T, et al., 2025, Intra-urban Relocation Patterns and Correlation with Built Environment Factors of Population by Age Groups: A Case Study of Wuhan. Cities, 2025(156): 105548.

Fang C, Wang Y, Fang J, 2016, A Comprehensive Assessment of Urban Vulnerability and its Spatial Differentiation in China. Journal of Geographical Sciences, 26(2): 153–170.

Oksanen H, 2016, Coping with the Effects of Population Ageing on Public Finances in the European Union and China. Economic and Political Studies, 4(4): 368–396.

Breunig C, Busemeyer MR, 2012, Fiscal Austerity and the Trade-off between Public Investment and Social Spending. Journal of European Public Policy, 19(6): 921–938.

Bloom DE, Canning D, Fink G, 2010, Implications of Population Ageing for Economic Growth. Oxford Review of Economic Policy,26(4): 583–612.

Börsch-Supan A, 2013, Myths, Scientific Evidence and Economic Policy in an Aging World. The Journal of the Economics of Ageing, 2013(1): 3–15.

Amalric F, 2006, Pension Funds, Corporate Responsibility and Sustainability. Ecological Economics, 59(4): 440–450.

Martí-Ballester CP, 2020, Examining the Financial Performance of Pension Funds Focused on Sectors Related to Sustainable Development Goals. International Journal of Sustainable Development & World Ecology, 27(2): 179–191.

Bonoli G, Palier B, 2007, When Past Reforms Open New Opportunities: Comparing Old‐age Insurance Reforms in Bismarckian Welfare Systems. Social Policy & Administration, 41(6): 555–573.

Stenberg A, de Luna X, Westerlund O, 2012, Can Adult Education Delay Retirement from the Labour Market? Journal of Population Economics, 25(2): 677–696.

Niemi T, Komp K, 2018, Retirement Timing in a Future Welfare State: A Finnish Delphi Study. International Journal of Sociology and Social Policy, 38(11/12): 1071–1085.

Shen Z, Yang J, 2021, A Simulation Study of the Effect of Delayed Retirement on Welfare of the Elderly: Evidence from China. Sage Open, 11(2): 21582440211016901.

Dai Y, Zhao Z, Sui J, et al., 2025, The Impact of Delayed Retirement on Labor Employment, Fertility Rate and Economic Growth in China. International Review of Economics & Finance, 2025(100): 104103.

Auerbach AJ, 2016, Long‐Term Fiscal Sustainability in Advanced Economies. Asia & the Pacific Policy Studies, 3(2): 142–154.

Bazzana D, 2020, Ageing Population and Pension System Sustainability: Reforms and Redistributive Implications. Economia Politica, 37(3): 971–992.

Jin X, Wang H, Tian C, et al., 2025, Balanced Trends and Pathways for Future Global Coastal and Interior Areas in the Context of Population Ageing. Humanities and Social Sciences Communications, 12(1): 1915.