Willingness to invest in active aging technologies for physical independence in chinese urban older adults
DOI:
https://doi.org/10.47197/retos.v84.119890Keywords:
Active aging, physical independence, technology acceptance, digital competence, willingness to invest, inclusive health, older adults, ChinaAbstract
Objective. This study quantifies urban Chinese older adults' willingness to invest in active aging technologies and examines the determinants of demand for maintaining physical independence across demographic, health, and digital competence dimensions.
Methods. Drawing on contingent valuation data from 856 urban older adults in Beijing, Chengdu, and Wuhan, a double-bounded dichotomous choice approach was employed. A two-part econometric framework (Probit and OLS) was used to estimate investment willingness and its predictors. The analysis integrated the Technology Acceptance Model, Protection Motivation Theory, and Andersen's Behavioral Model.
Results. Mean monthly investment willingness was CNY 190 (95% CI: 179–201) for a comprehensive active aging technology package, with CNY 114 for basic safety and fall-prevention functions and CNY 161 for health and physical function monitoring. Household income, chronic disease burden, digital competence, perceived usefulness, and perceived ease of use were significant predictors. High-digital-competence respondents exhibited 54% higher investment willingness than low-competence counterparts. An inverted age gradient was observed, with young-old respondents (60–69) expressing higher willingness than oldest-old (80+) individuals.
Conclusions. Urban older adults demonstrate meaningful demand for technologies that maintain physical independence, though affordability and digital competence gaps persist. Findings inform subsidy design and product strategies for inclusive active aging markets.
References
AARP International. (n.d.). Brazil: Aging readiness and competitiveness. https://www.aarpinternational.org/initiatives/aging-readiness-competitiveness-arc/brazil
Albarqi, M. N. (2024). Exploring the effectiveness of technology-assisted interventions for promoting independence in elderly patients: A systematic review. Healthcare, 12(21), 2105. https://doi.org/10.3390/healthcare12212105
Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1–10. https://doi.org/10.2307/2137284
Bateman, I. J., Carson, R. T., Day, B., Hanemann, M., Hanley, N., Hett, T., ... & Sugden, R. (2002). Economic valuation with stated preference techniques: A manual. Edward Elgar Publishing.
Chen, K., & Lou, V. W. Q. (2020). Measuring senior technology acceptance: Development of a brief, 14-item scale. Innovation in Aging, 4(3), igaa016. https://doi.org/10.1093/geroni/igaa016
Cruzat, E., & Tauda, M. (2025). Actividad fisica y envejecimiento saludable: Revision sistematica de evidencia en cohortes prospectivas. Retos, 74, 63–85. https://doi.org/10.47197/retos.v74.117489
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Ferrer, P., Serra, N., Garnacho, M. V., Faundez, M., Serra, M., Palomera, E., & Girabent, M. (2025). Desa-rrollo y validacion del cuestionario de actividad fisica para adultos de 65 anos y mayores (PAQ-EA): Herramienta de evaluacion integral. Retos, 74, 96–108. https://doi.org/10.47197/retos.v74.116558
Flores-Tena, M. J., Deocano-Ruiz, Y., Llamas-Salguero, F., & Jimenez-Morales, J. (2024). Active aging with leisure and free time activities for a better quality of life. Retos, 51, 1496–1501. https://doi.org/10.47197/retos.v51.99972
Frishammar, J., Essen, A., Bergstrom, F., & Ekman, T. (2023). Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them. Technological Forecasting and So-cial Change, 189, 122319. https://doi.org/10.1016/j.techfore.2023.122319
Gallo, A. M., Laranjeira, C., Araújo, J. P., Marques, F. R. D. M., Baccon, W. C., Salci, M. A., & Carreira, L. (2024). The experiences of daily smartphone use among older adults in Brazil: A grounded the-ory analysis. Heliyon, 10(15), e35120. https://doi.org/10.1016/j.heliyon.2024.e35120
Hanemann, M., Loomis, J., & Kanninen, B. (1991). Statistical efficiency of double-bounded dichotomous choice contingent valuation. American Journal of Agricultural Economics, 73(4), 1255–1263. https://doi.org/10.2307/1242453
Kim, S., Chow, B. C., Park, S., & Liu, H. (2023). The usage of digital health technology among older adults in Hong Kong and the role of technology readiness and eHealth literacy: Path analysis. Journal of Medical Internet Research, 25(1), e41915. https://doi.org/10.2196/41915
Kumalasari, R. A. D., Rahardjo, K., Kusumawati, A., & Sunarti, S. (2024). Biometric-based self-service technology adoption by older adult: Empirical evidence from pension fund sector in Indonesia. Cogent Business & Management, 11(1), Article 2325543. https://doi.org/10.1080/23311975.2024.2325543
Kwan, R. Y. C., Yeung, J. W. Y., Lee, J. L. C., & Lou, V. W. Q. (2023). The association of technology ac-ceptance and physical activity on frailty in older adults during the COVID-19 pandemic period. European Review of Aging and Physical Activity, 20, Article e24. https://doi.org/10.1186/s11556-023-00334-3
Leng, A., Liu, J., Maitland, E., Li, S., Nicholas, S., Ma, B., & Wang, J. (2024). Older adults preferences for long-term caregivers in China: A discrete choice experiment. Public Health, 231, 158–165. https://doi.org/10.1016/j.puhe.2024.03.022
Liu, J. Y. W., Sorwar, G., Rahman, M. S., & Hoque, M. R. (2023). The role of trust and habit in the adoption of mHealth by older adults in Hong Kong: A healthcare technology service acceptance (HTSA) model. BMC Geriatrics, 23, 73. https://doi.org/10.1186/s12877-023-03779-4
Mitchell, R. C., & Carson, R. T. (1989). Using surveys to value public goods: The contingent valuation method. Resources for the Future.
Navalon, R., & Martinez, I. (2020). Valoracion del grado de deterioro funcional y fragilidad en adultos mayores activos. Retos, 38, 576–581. https://doi.org/10.47197/retos.v38i38.78252
NITI Aayog. (2024). Senior care reforms in India: Health technology and digital care ecosystem. Gov-ernment of India. https://www.niti.gov.in/sites/default/files/2024-02/Senior%20Care%20Reforms%20in%20India%20FINAL%20FOR%20WEBSITE_compressed.pdf
Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. Journal of Psychology, 91(1), 93–114. https://doi.org/10.1080/00223980.1975.9915803
Shi, H., Qi, H., & Yang, K. (2025). Enhancing elderly care with smart homes: A comparative study of use and payment willingness. Digital Health, 11. https://doi.org/10.1177/20552076251374223
Singh, N., Misra, R., Singh, S., Rana, N. P., & Khorana, S. (2022). Assessing the factors that influence the adoption of healthcare wearables by the older population using an extended PMT model. Tech-nology in Society, 71, 102126. https://doi.org/10.1016/j.techsoc.2022.102126
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
World Health Organization. (2002). Active ageing: A policy framework. WHO.
Wu, Y. (2025). Integrating AI·IoT-OAHPs with existing elderly care systems. Digital Health, 11, Article 20552076251317378. https://doi.org/10.1177/20552076251317378
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