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Population Change and Poverty among the Elderly in Transitional China

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Title: Population Change and Poverty among the Elderly in Transitional China


1
Population Change and Poverty among the Elderly
in Transitional China
  • Juhua Yang
  • Center for Population and Development Studies,
    Renmin University of China
  • Beijing, January 23, 2009

2
Contents of the Presentation
  • Purpose of this project
  • Background
  • Conceptual framework
  • Data and methods
  • Analytical results and discussion
  • Policy implications

3
1. Statement of Purpose (I)
  • Individual wellbeing a product of SE and
    political circumstances at multiple level, not a
    private issue
  • SE development in China (-) the poor in the
    total population
  • Poverty reduction in China contribute to the
    decline of poverty in the world global
    significance (Sen 2002)
  • Inclusion or exclusion of China in the prevalence
    of world poverty a great difference

4
1. Statement of Purpose (II)
  • Driving forces of poverty reduction
  • Socioeconomic development
  • Improved coverage of public welfare
  • Population change at macro and household levels
  • Poverty reduction among the elderly slower
  • Consensus on poverty among the elderly
  • A higher proportion of the households with
    elderly and the elderly in poverty
  • A worsened trend of pauperization

5
1.1 Statement of Purpose (III)
  • Why is the reduction of poverty among the elderly
    slower than other segments of the population?
  • How may population change (e.g. family context)
    be related to poverty among the elderly in the
    context of inadequate social welfare and support
  • What are the mechanisms by which population
    change affects elderly poverty?
  • What are the implications for policy
    reformulation and program intervention to improve
    the elderly WB?

6
1.2 Objectives
  • Investigate the relationship between population
    change and poverty among the elderly in
    transitional China with inadequate public welfare
    and support
  • Provide better understanding of the population
    determinants of elderly poverty, while
    considering the role of SE and environmental
    factors in elderly life
  • Draw societal and gov attention to scientific
    studies and program interventions for reducing
    the poverty and enhancing the wellbeing of the
    elderly

7
2.1 Definitions of Key Concepts
  • Elderly population age 65
  • Poverty defined as
  • Economic relative and absolute
  • Social an essential element in the deprivation
    of capacity and empowerment of the elderly
  • Population change defined as
  • Reduced fertility mortality rate
  • Population redistribution
  • Changing population age structure
  • Changing family structure and living arrangements

8
2.2 Population Change (I)
  • Later marriage fewer children frequent moves
    longer life

Figure 1. TFR and Life Expectancy at Birth China
1950-2010
Source World Population Prospects The 2006
Revision (UN 2007)
9
2.2 Population Change (II)
  • Aging a common global demographic trend
    affected most countries particularly EA
    societies (UN 2007)
  • Aging in China
  • the proportion of people age 65 7 the share
    of people age 60 10 of the total population
    in 2000
  • Fast pace of aging in the next decades (UN 2005)
    huge absolute amount of the elderly in the near
    future (Winkler 2002)
  • Unique feature of aging in China fast
    wei-fu-xian-lao getting old before getting
    rich) (Tien 2005 Wu et al. 2004)

10
Figure 3. Dependence Ratio and Labor Force ()
China 1950-2050
  • Source World Population Prospects The 2006
    Revision (UN 2007).

11
Figure 5-6. Proportion of Elderly Ages 65 by
Residence and Gender
12
2.2 Population Change (III)
  • Unprecedented migration redistribution of
    population
  • Chinas 2005 National 1 Population Survey some
    150 million of migrants, over 10 of Chinas
    total population (NPFPCC 2006)
  • Most migrants from the countryside in working
    age the elderly left behind
  • Implications for the wellbeing of different
    segments of population (Du et al. 2004)

13
Figure 7. Size of Migrants in China 1982-2005
Source Multiple sources. Unit10 thousand.
14
2.2 Population Change (IV)
  • Changing fertility reshaping
  • the pool of eligible adult children to live with
    parents
  • the feeling of family obligation among children
  • () longevity () the availability of parents
    surviving to the marriage of children, demanding
    for support
  • Migration increasing geographic distance between
    parents and children
  • Reshaped family context family type, size, LA,
    parental-child relationship

15
Figure 8. Family Size in China 1947-2006
Source Multiple sources
16
2.3 Table 1. Status of Poverty among Elderly in
China
17
Table 2. Daily Living Sources among the Elderly
Ages 60 in China
Source The 2000 Population Census and 2005 One
Percent Population Survey.
18
3.1 Population Change and Poverty
  • In high fertility regime Reduce the poverty of
    the youth and women
  • In low fertility regime more complicated
  • A non-linear linkage, depending upon the
    characteristics of varying segments of population
  • Different aspects of population change diverse
    impacts on poverty, on different dimensions of
    poverty, on the poverty of different segments of
    population
  • Population-poverty relation affected by the
    readiness and experience of the public support
    system of a country

19
3.2 Conceptual Framework
Figure 9. Analytical Framework on the
Relationship between Demographic Change and
Poverty of the Elderly
20
4.1 Data and Methods
21
4.1 CLHLS
  • Duke and Peking Univ panel survey on the elderly
    in 1998, 2000, 2002 2005 Use last two waves
  • Randomly selected half of the counties in each of
    22 provinces (85 of total pop.) replacement
  • Suitable for the purpose of this project
  • Demographic, social, and economic variables
  • Family structure and intergenerational relations
  • Accessibility, affordability and utilization of
    health services and caring resources in community
  • Public health insurance and retirement pension

22
4.1 2007 Population Change and Elderly Poverty
Interview
  • In-depth interview among elderly ages 60 in city
    and town neighborhoods, and rural villages in six
    provinces between September and December, 2007
  • Liaoning, Jiangsu, Shandong, Hubei, Sichuan,
    Gansu
  • Differ substantively in socioeconomic
    development, population characteristics and
    public welfare
  • Interviewed economic wellbeing, health, emotional
    solace, and public securities at the community
    and individual levels
  • Both common and unique questions in each location

23
4.2 Variables (I)
24
4.2 Variables (II)
25
4.2 Variables (III)
26
4.3 Strategies of Analysis (I)
  • Integration of qualitative data and quantitative
    data
  • Univariate analysis
  • Means or proportion of the characteristics of the
    elderly with a focus on poverty and population
    factors
  • The trends, patterns and status of elderly
    poverty
  • Bivariate analysis
  • Poverty with population change and other
    correlates
  • Similarities and disparities of the elderly by
    urban residence and gender in relation to poverty

27
4.3 Strategies of Analysis (II)
  • Multivariate analysis
  • Binary and ordered logistic regression models
    with RSE
  • Multilevel models
  • Fixed models
  • Methodological issues
  • Endogeneity between economic status and health
    status
  • IV models hunger in childhood as instrument
  • Sample selection bias for the stay elderly survey

28
5. Analytical Results
  • Notes
  • Results from various datasets and models are
    similar only present findings from the CLHLS
    complemented by qualitative data from in-depth
    interviews
  • Not using Heckman selection model instrument
    variable model the latter model cannot concave

29
(No Transcript)
30
Figure 10-11 Rate Poverty among the Elderly in
CLHLS
31
Figure 12. Rate Poverty among the Elderly (cont)
Data source Data of the top panel come from 2007
Population Change and Elderly Poverty data of
the bottom panel come from the 2004 RCMFES.
32
Table 3. Logistic Model Results from the CLHLS (I)
Note IDLSInadequate daily life source
RLSRelative Living Standard. Model controls for
other variables Binary model for IDLS ordered
logistic model for other outcomes.
33
  • Food of the elderly in different locations of
    interview

34
  • I do not have kids I live with my nephew. You
    see, that is his house (a two-story, red brick
    building in the same yard, which is in sharp
    contrast with the elderly house authors
    note). I am happy. I am an old blinder I would
    have died in old society (prior to 1949
    authors note), you know. The government gives me
    70 yuan (about 10 authors note) each month
    my nephew claims the money, but that is ok. He
    does not take care of me. I cook, wash cloth, and
    shop by myself a relative carries water for me.
    I do not want to live in nursing home. Why? There
    is no freedom, and I do not want to be thoughts
    as childless and cursed may you die without a
    son. I eat meat whenever I want. You know, at
    the end of the lunar year, relatives always
    kindly give me a bucket of meat tips (a 76-year
    old man in Lintao County)

35
  • Left top the 76-year-old childless man show us
    the meat he frequently eats
  • Right top His meat, molded
  • Left The feet of a 76-year-old female elderly,
    who just came back from her water field. Her
    sons three-story brick building is next to her
    one-story, mod house

36
  • I have four children, two boys and two girls.
    Three are in Beijing, and one here. They all do
    well. They are filial, and give me lots of money.
    We have enough food, cloth, and my younger
    daughter bought me this spacious apartment (it is
    too big, and really a waste of money). My friends
    admire me, you know. But they do not have time to
    come back to visit us, even in holidays. They ask
    me to go to Beijing, but I have no friends there,
    and the kids do not have time to talk to me. I
    was there many times, you know, waiting for them
    to come home to talk to me, one word or two
    words. I look just like a fool and really do not
    want to go there, but I miss them (A 72-year-old
    urban female elderly)

37
Table 3. Logistic Model Results from the CLHLS
(II)
38
  • Sharp contrast between have and have-not public
    support

39
I do not have money to see a doctor I always
delay it. XY has government to pay for him, who
pays for me? If I have headache, backache, or
something, I delay to see a doctor if it cannot
be delayed anymore, I will buy medicine from the
shop or use cupping method at most. I am old, and
should die (a 68-year old female)
  • (Common replies in interview lack of medicare
    Rural New Cooperation Medical Care, high premium,
    limited coverage)
  • Street doctors are curing disease with Chinese
    traditional treatment

40
Table 3. Logistic Model Results from the CLHLS
(III)
41
  • What lonely or not lonely? My spouse passed away
    two years ago. I am living alone. I do not want
    to live with my son and daughter-in law (a
    73-year old man)
  • Lonely? No! I am with my spouse. My son and
    daughter work in Chengdu they give me money I
    chat and play majoung with old pals in village
    teahouse. Im not lonely

Village teahouse
42
Table 3. Logistic Model Results from the CLHLS
(IV)
Note Each province is treated as a dichotomous
variables.
43
  • The 73-year old man live with his spouse he
    enjoys his life
  • The 69-year old woman live a thrift yet happy
    life with his grandson
  • The 66-year old man is cutting the hair of his
    customer. He feels useful and satisfied with
    his life

44
5.4 Summery of Analytical Results
  • Overall stronger effect on economic poverty than
    on social poverty
  • Living arrangements, child composition money
    variables variables of elderly SE background
  • For social poverty stronger effect on health
    than on loneliness
  • Intriguing findings, all else equal age,
    widowhood status, rural female elderly

45
6.1 Policy Implications (I)
  • Particular attention to the elderly of sonless,
    childless, living alone, rural elderly
  • For economic poverty
  • Reform the retirement policy interval of
    retiring age same age policy for male and
    females
  • Establish a multi-layer and complementary support
    system for all
  • Facilitate the process of urbanizations to create
    more and better job opportunities

46
6.2 Policy Implications(II)
  • For social poverty
  • Facilitate the Home-Based community Elderly
    Support Network
  • Community services worth of their names
  • For younger elderly in good health status
  • Provide opportunities for elderly to interact,
    work
  • Recruit and encourage elderly volunteers
  • Provide high-quality home services for older
    elderly
  • Enhance the economic wellbeing of the elderly

47
6.3 Conclusion (I)
  • Rapid aging process (partly due to the OCP)
  • Tremendous demand for public support
  • The government not prepared for the change
  • Weakened family support
  • Elderly vulnerable to poverty or more so than
    others
  • Not benefit from SE achievement demographic
    dividend
  • Rely on family support when the family culture
    reshaped
  • Low fertility and migration do not necessarily
    improve the capacity of family support for the
    elderly

48
6.3 Conclusion (II)
  • Partly the responsibilities of the society to
    take care of them financially, physically and
    emotionally
  • Reflecting gov. capacity to implement
    human-oriented political notion in pursuing
    economic prosperity
  • A comprehensive coverage of public welfare for
    all elderly underway, but it takes time low
    standard
  • Single force cannot effectively deal with the
    issue of elderly poverty cooperation between
    the government, family, private sectors,
    community, NGOs

49
6.4 Conclusion (III)
  • This project focuses on current elderly, but the
    findings are informative for future elderly
  • OCP affected many people have only 1-2 children
    will soon become elderly
  • Low fertility shrank the pool of children
    providing support in their older age
  • Crucial for the government to reformulate more
    suitable and more pertinent policies or programs
    for the would-be elderly

50
Future Studies
  • The definition of poverty
  • Comparable data of elderly wellbeing
  • The size of the elderly in poverty
  • Underlying mechanisms for some intriguing
    findings
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