ReviewSSM - population health2026
Policy solutions to ameliorate the negative impact of aging on economic productivity: a systematic review.
Review in SSM - population health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Population aging creates fiscal pressures on public systems for health care, pensions, and social protection. Identifying policies to mitigate the negative impact of an aging population on economic growth and productivity is crucial. Methods: Adhering to PRISMA standards, we systematically searched four databases based on concepts of (1) population aging, (2) economic growth, (3) economic productivity, (4) policy, (5) intervention, and (6) amelioration or improvement. Included studies were in English and assessed how policy interventions affect economic growth or productivity. Results: Six studies were identified, modeling policy interventions aimed at increasing labor force participation to reduce the impact of aging on economic productivity. Policies focused on extrinsic motivation, such as mandating workers to remain in the labor force, might boost participation, but may reduce productivity. In contrast, policies enhancing intrinsic motivation through improvements in health, education, and skill development positively influenced labor force retention by increasing human capital. Discussion and conclusion: Evidence from a small number of modeling studies suggests that policies that foster intrinsic motivation should be prioritized, as these approaches promote a more sustainable workforce while avoiding the potentially negative consequences of extrinsic motivation policies like mandating labor force participation by older adult workers.
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