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Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
Published on: September 29, 2011
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Intergenerational perspectives on ageing, economics and globalisation.
1Department of Sociology, Macquarie University, Sydney, New South Wales, Australia.
Australasian Journal on Ageing
|December 5, 2014
Summary
Population ageing, linked to economic development, is often wrongly blamed for economic stagnation. This study uses innovative intergenerational research to analyze ageing
Area of Science:
- Economics
- Demography
- Public Policy
Background:
- Population ageing is historically associated with economic development and affluence.
- Widespread fears link ageing populations to economic stagnation and public financial unsustainability.
- Projections of social expenditures, particularly those concerning ageing, are often deemed unsustainable in G20 nations, justifying public program cuts.
Purpose of the Study:
- To explore the application of novel intergenerational research methodologies and frameworks.
- To understand the economic impact of population ageing in the 21st-century globalized world.
- To critically evaluate claims regarding the unsustainability of social expenditures due to ageing.
Main Methods:
- Utilizes intergenerational research methodologies and frameworks.
- Employs innovative data projection techniques.
- Analyzes economic impacts within a globalized 21st-century context.
Main Results:
- Intergenerational research provides innovative approaches to policy debates on ageing.
- The study critically examines the widely held fears of economic stagnation linked to ageing.
- Evidence suggests a need to re-evaluate assumptions about the unsustainability of social expenditures.
Conclusions:
- Innovative intergenerational research is crucial for understanding the economic implications of population ageing.
- Challenging conventional fears of economic stagnation associated with an aged population is necessary.
- Policy decisions regarding social expenditures and risk transfer require a more nuanced, evidence-based approach.
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