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Growing old: population aging Fertility, Mortality and Social Change GEOG20016 Photo credit: Ibu Kemi of Gunung Kidul, Peter McDonald, Ageing in Rural Indonesia Project.

Growing old: population aging Fertility, Mortality and Social Change GEOG20016 Photo credit: Ibu Kemi of Gunung Kidul, Peter McDonald, Ageing in Rural Indonesia Project.

Today: population aging 1. Introduction:

Demographic perspective of ageing: Definition and the two dimensions of population ageing 2. Indicators 3. Gender and ageing 4. Depressing streak in demography: too many people, too few people – from one “population bomb” to another: demographic “time bomb”. Clips on aging in Japan.

How will an aging population change the world?

https://www.youtube.com/watch?v=x4r0S5qoIXc 2:10 minutes Definition, concepts,

causes, implications Introduction Population ageing:

definition Definition: increasing share of older persons in the population Important because:

“Population ageing—the increasing share of older

persons in the population—is poised to become one of

the most significant social transformations of the twenty-first century, with implications for nearly all sectors of

society, including labor and financial markets, the

demand for goods and services, such as housing,

transportation and social protection, as well as family

structures and inter-generational ties.”

https://www.un.org/en/development/desa/population/publica tions/pdf/ageing/WPA2017_Report.pdf Shift in

terminology https://agsjournals.onlinelibrary.wile y.com/doi/10.1111/jgs.16848 “Based on American Geriatrics Society (AGS)

work with the Leaders of Aging Organizations

and the FrameWorks Institute, these

recommendations were grounded in building

better public perceptions of aging. They reinforced “that words like (the) aged,

elder(s), (the) elderly, and seniors should not

be used . . . because [they] connote

discrimination and certain negative

stereotypes.”1 The journal thus adopted “older

adult(s)” and “older person/people” as

preferred terminology, explicitly advocating

against using “the elderly,” “senior(s),” and/or

“senior citizen(s).” Population Aging: cause Read: Natalie Jackson’s articles:

https://eprints.utas.edu.au/3724/1/3724.pdf;

https://www.dss.gov.au/sites/default/files/docum ents/05_2012/prp_no_13.pdf • Population ageing is the inevitable outcome of

demographic transition • DT:

– Shift from “traditional”

society with high

birth and death rates to “modern” society

with low birth and death rates. Fertility and

mortality transitions in between – Shift from young and growing population to

old and potentially declining population Increase in proportions of older adults (usually defined as

population aged 60/65 and over). Driven

primarily by

falling fertility Decline in IMR and increasing LE also partly contribute to

increasing

numbers and shares of older adults in

population, but if you have high fertility rates, population

will not age structurally.

Structural

ageing:

Primarily driven by falling mortality.

Falling IMR – more survives into adulthood Increasing LE – high probability of reaching old age High fertility in baby boom years (eg after WWIi)

contributes to numerical ageing (and structural ageing),

but population will not

experience increase in number of

older adults if mortality rates were high.

Numerical

aging: Why make distinction between structural and

numerical ageing – Understand different primary drivers – Implications on overall population dynamics (and links with migration) – Implications on public policy Why make distinction between numerical and

structural ageing Policy implications • Numerical ageing: – Increasing demand for income support and health care provision – Increasing cost (government spending) on ​​income

support and health

care provision • Structural ageing:

– Decline in population of workforce age – Decline in tax base – Hard for

governments to fund increasing demand for income support and health care

provisions!

What does an aging workforce mean for economic growth? • Extend retirement age: increasing life expectancy changes meaning of “old” – work longer • Ageism:

Are older workers less creative/innovative/less productive?

Population ageing = progress, or curse?

Population ageing is the “fruits” of economic and human development, but it also entails challenges!

Population ageing

and migration

Week 11 – frictions Third demographic transition: – Linking birth, death and migration – Persistently low fertility and increased life

expectancy → population ageing – “Unprecedented growth in racial and ethnic

minorities population in the developed world” – Changing composition of the population due to

long-term low fertility, and migration – Super diversity – not just changing numbers

and %,

but complex socio-econ interactions.

– Aging (and dying) in foreign land?

infrastructure for health and aged care

If NOM does not offset natural decline: absolute decline in population size Natural decline (currently Australia natural increase) More deaths than births (BMore older adults than kids Structural and numerical ageing Demographic transition: fertility and mortality decline Some indicators How old is old? Who is

old?

Across many cultures, implicit assumption behind old age= when individuals can no

longer work.

Most common definition is 65+. Ageing is not only about chronological age. At

sociological level, spatio-temporal variation on

who is old, also depending on

relational context within a community. Aging in Rural Indonesia project: work till you drop! • Indonesia’s LE=69 years of age

“Rich” economies today:

• Age of retirement is 65.

• Mortality transition and increasing LE → Significant “gap” between onset of

retirement

and end of life • Generation X: looking forward to be 65+ → period of leisure,

good health but

retired from the labor force. (But, this may no longer be the case

with

uncertainties over

the future of work) • Concept of

“Third Age”: a time when individuals are still healthy enough to

engage in

activities (“active ageing”)

• “Fourth Age”: age of physical and cognitive decline. For indicator purposes,

defined as 80 or 85. But this will likely be changed along with health

improvements/medical technology/higher LE.

• Talks of extending age of retirement because of higher LE Share (or per cent or proportion of population

aged 65 and over) https://www.aihw.gov.au/reports/older-people/older-australia-at-a- glance/contents/demographics-of-older-australians/australia-s-changing-age-and-gender-profile % of population aged

80 years and over,

among people

aged 60+ “Older population itself is ageing!” https://www.un.org/en/development/desa/population/publica tions/pdf/ageing/WPA2017_Report.pdf Median age of population https://www.visualcapitalist.com/mapped-the-median-age-of-every-continent/ https://www.visualcapitalist.com/median-age-of-the-population-in-every-country/ Dependency ratio • Total dependency ratio: measure of potential support of

needs of young and elderly “dependents”

• Ratio between young people aged less than 20 and elderly

aged 65+, to working age population aged 20-64.

• Falling fertility → global dependency ratio has been declined

but expected to rise in next decades because of aging.

• Old-age dependency

ratio reflects the number of persons

aged 65 years or over in a population relative to the number

of persons aged 20-64 years.

• Population ageing → successive cohorts will have less adults

children to provide “support” (directly and indirectly as tax

base/social security transfers) • Assumption: young and old are in age of dependence. They

need working-age population to support. • But

“chronological” age does not necessarily determine

dependency status.

Increase in LE → delayed onset of

dependency → years of life remaining as a proxy for

dependency rather than years of life already lived

(chronological age)”

• Prospective old-age dependency ratio (POADR):

the number

of persons above the age closest to a remaining life

expectation of 15 years relative to the number of persons

between age 20 and that age.

• Projections:

When using POADR,

slower increase or decline

in dependency ratio than when using

traditional/conventional dependency ratio https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2017_Report.pdf Example Total age dependency ratio=

(People aged less than 15 + people aged 65 and over)/(number of people in working age)

Old-age dependency ratio= (People aged 65+)/ (population aged 20-64) But with increasing LE, and better health in older ages:

Life expectancy =85; then 85-15 =70 POADR – Prospective old-age dependency ratio “the number of persons above the age closest to a

remaining life expectancy of 15 years relative to the number of persons between age 20 and that age.” POADR= (people aged 71+)/(people between the ages of 20-70) Notice lower and upper bound – Why 20

Recall Week 7 Lecture: Can we link this to

protracted TTA?

– Is DTT only a story about

living longer?

What does protracted TTA

mean?

Age at first marriage? Age at first

birth? Age at having own first home?

Gender and aging In most countries, women tend

to live longer than men Proposed reasons: • Gendered risky behavior • Gap largest in 1900s, slower

mortality decline for males than females

perhaps due to

smoking • Research in gender-specific medicine and age-related diseases: gut

microbes, hormonal differences to help explain gender gap in longevity.

Trend in high income countries • Narrowing gap

due to sex differences in age patterns of mortality rather

than declining sex ratios in mortality:

• “ same rate of mortality decline produces smaller gains in e(0) for

women than for men because women’s deaths are less dispersed across

age (ie, survivorship is more rectangular).”

(Glei and Horiuchi, 2007:

https://www.tandfonline.com/doi/abs/10.1080/00324720701331433?sr c=recsys&journalCode=rpst20 Small gap in developing countries due to women’s lower position in society

https://www.weforum.org/agenda/2016/05/countries-where-women-outlive-men-by-decade/ Gender and aging Some Implications:

• Gendered care regime.

• Most caregivers of elderly are female spouses: women

live older, men marry younger women.

• Widowhood and loneliness. • Feminisation of poverty and vulnerability in later

life. • Australia – higher proportion of women work in

part-time employment: – Women reached

retirement age with 37 %

less

superannuation savings than men

men – “Women aged between 55 and 64 have an

average of $196,000 in the bank, compared with

$310,000 on average for men.” https://www.sbs.com.au/news/australian-women-retire- with-37-per-cent-less-super-than-men Marriage and family change, population ageing and

implications on intergenerational relationship Gender:

• Gender inequality over the life course:

case of

gender gap in labor market and

retirement outcomes.

(reflect on gendered labor force outcomes from last week) Weakening of marriage?

• Diversity of family forms (Week 9) • Family disruptions and caring obligations.

Does marriage still matter (reflect on our lecture in Week 9)? •

Studies on “differentials” on who gets to get married/who marries whom; who have kids

outside of marriage and whether this matters (race/class inequalities);

• How marital status/timing/type

predicts other life outcomes (in later life:

wealth,

inequalities, life satisfaction, health and well-being) Intergenerational relationship:

• Tensions around care expectations of elderly parents because of swift changes in fertility.

• Rural pockets of ageing: skipped generation families • Tensions around changing roles of grandparenting:

– Past: Available grandmother – Now: Grandmother with careers, mothers “lacking” support to build own career.

– Co-residing grandmother/close proximity as predictor of

mother’s labour force

participation https://www.scmp.com/week- asia/society/article/2128700/one- 60-million-life-left-behind-child- china • https://www.nytimes.com/2019/12/17/ world/asia/japan-dolls-shrinking-population-nagoro.html Depressing streak in demography?

Japan’s “demographic time bomb”

Be careful and critical of using emotive language!

Discourse to catastrophize demographic change

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