KōtuituiNew Zealand Journal of Social Sciences OnlineMaintaining solidarity across generations in New Zealand: support from mid-life adult to ageing parentSarah Hillcoat-NallétambyDepartment of Applied Social Sciences
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|
% |
n |
|
|
Respondent |
|
|
|
|
|
Gender |
Male |
49.8 |
248 |
|
|
|
Female |
50.2 |
336 |
|
|
Age |
40–44 |
41.7 |
238 |
|
|
|
45–49 |
34.6 |
213 |
|
|
|
50–54 |
23.7 |
133 |
|
|
Marital status |
Single/widowed |
3.0 |
51 |
|
|
|
Divorced/separated |
14.3 |
94 |
|
|
|
Married/de facto |
82.7 |
439 |
|
|
Employment |
Full-time |
47.4 |
260 |
|
|
|
Part-time |
11.1 |
103 |
|
|
|
Self-employed |
25.5 |
121 |
Includes family business not paid |
|
|
Homemaker |
12.6 |
54 |
Includes students, retired, |
|
|
Unemployed |
3.4 |
46 |
|
|
Residence |
City |
65.4 |
387 |
|
|
|
Town |
13.9 |
93 |
|
|
|
Rural |
20.7 |
104 |
|
|
Ethnicity |
Maori |
7.5 |
26 |
|
|
|
Pakeha |
86.1 |
517 |
|
|
|
Other |
6.4 |
41 |
Includes Asian and |
|
Religion |
None |
25.8 |
148 |
|
|
|
Christian |
58.0 |
328 |
|
|
|
Other Christian |
11.9 |
74 |
|
|
|
Non-christian |
4.2 |
34 |
Includes don’t know |
|
Educational qualification |
None |
18.6 |
101 |
|
|
|
Secondary |
42.9 |
255 |
|
|
|
Tertiary |
24.0 |
140 |
|
|
|
Bachelor/PostDoc |
14.6 |
88 |
|
|
Total children |
0 |
7.2 |
69 |
Includes born, adopted, |
|
|
1 |
7.1 |
44 |
|
|
|
2 |
37.1 |
205 |
|
|
|
3 |
27.2 |
153 |
|
|
|
4+ |
21.4 |
113 |
|
|
Age 1st birthday |
<21 years |
17.2 |
100 |
|
|
|
21+ |
74.8 |
410 |
|
|
|
No live birth |
8.0 |
74 |
|
|
Focal child |
Yes |
51.6 |
287 |
Child aged 15+ not living at home |
|
Has health problem |
Yes |
28.7 |
179 |
Long-term health problem |
|
Number in household |
1 |
4.1 |
43 |
|
|
|
2 |
26.4 |
155 |
|
|
|
3 |
20.1 |
119 |
|
|
|
4 |
26.1 |
145 |
|
|
|
5+ |
23.2 |
122 |
|
|
Personal income |
<$30,000 |
39.9 |
263 |
|
|
|
30,001–50,000 |
27.5 |
148 |
|
|
|
50,001+ |
19.5 |
103 |
|
|
|
Don’t know |
13.1 |
71 |
|
|
Child exchanges |
No focal child |
51.6 |
287 |
|
|
In-kind (y/n?) |
Receives |
14.2 |
83 |
|
|
|
Does not receive |
34.2 |
204 |
|
|
Emotional (y/n?) |
No focal child |
51.6 |
287 |
|
|
|
Receives |
26.7 |
156 |
|
|
|
Does not receive |
21.7 |
131 |
|
|
|
|
|
|
|
|
Ageing parent |
|
|
|
|
|
Gender |
Male |
27.4 |
155 |
|
|
|
Female |
72.5 |
429 |
|
|
Health problem? |
Yes |
47.5 |
282 |
|
|
Number in ascending generation |
1 |
28.7 |
183 |
Total number of parents or in-law alive—based on respondent’s current union only |
|
|
2 |
34.1 |
205 |
|
|
|
3 |
20.8 |
114 |
|
|
|
4 |
16.4 |
82 |
|
|
Kin relationship |
Mother |
60.5 |
366 |
|
|
|
Father |
23.3 |
130 |
|
|
|
Mother-in-law |
12.2 |
63 |
|
|
|
Father-in-law |
4.1 |
25 |
|
|
Distance (km) |
≤3 |
12.7 |
85 |
|
|
|
3–20 |
29.4 |
170 |
|
|
|
21–100 |
12.2 |
78 |
|
|
|
100+ |
|
|
|
|
|
|
|
|
|
|
Child (focal child not living with respondent and aged 15+; n = 287) |
||||
|
Gender |
Male |
46.2 |
130 |
|
|
|
Female |
53.8 |
157 |
|
|
Age |
<25 |
64.2 |
182 |
|
|
|
≥25 |
35.8 |
105 |
|
The dataset provides four variables for the ageing parent group: geographic distance from children, kinship relationship to child (biological or in-law), health status, and the number of parents and in-laws alive (see Table 1). Most ageing parents are female,3 nearly one-half have a health problem, and a similar proportion live at least 100 km from their adult child. About 1 in 3 represent the respondent’s only surviving parent or parent-in-law but 6 out of 10 are related through a maternal kinship bond.
Of the child population, slightly more than one-half are female but only about one-third have reached their mid 20s. For the purposes of multivariate analysis, only one variable was used as an explanatory factor, a functional solidarity variable indicating whether they have benefited from material help from their parent over the last 12 months. Two reasons underpin this decision. First, to include receipt of emotional support as a child characteristic would suggest a hypothetical link between this factor and the likelihood of an ageing parent receiving in-kind help, an association that it is difficult to substantiate from a theoretical perspective. Second, it is assumed that the functional solidarity variable indicating whether the young adult has received in-kind help from their parent over the last 12 months will capture the influence of other child characteristics of age and gender.
The types of help the mid-life respondent has reported providing to
their ageing parent at least once within the last 12 months provide the
basis for the development of the dependent variable. Responses were
first regrouped into three categories to represent an indicator of
functional solidarity: emotional support provided; financial support
provided; in-kind or material4 support
provided. Each category is treated as dichotomous (1 = respondent has
provided emotional support to their ageing parent, 0 = has not provided
this support,5 etc.). Individuals can
receive more than one type of assistance, so analysis is limited to
whether giving at least one type of assistance was reported. As less
than 1 out of 10 adult children actually reported providing their
ageing parent with direct financial help, these cases (n = 40)
were merged with the material support responses, to provide two
dependent variables—in-kind and emotional support.
Initial descriptive results indicate that about one-third of respondents (35%) say that they have not provided any help to their parent over the past year,6 and of those who have, similar proportions have provided in-kind or emotional support (37 and 39%, respectively). The most pressing types of in-kind assistance which appear to be needed are those involving an activity outside the home—transport, house maintenance, gardening, and shopping—but few require help in the home, either with housework or personal health.
Multivariate results are presented in Table 2. Model 1 assesses the factors influencing the probability of the respondent providing in-kind support to their ageing parent as opposed to not providing it. Model 2 assesses the influence of these factors on the likelihood of providing emotional support. When interpreting these results, the reader should bear in mind that due to small cell sizes, the category “other” of the original ethnicity variable has been collapsed with “Maori” (hence the “non-Pakeha” category in Table 2).7
The likelihood of an ageing parent or parent-in-law receiving in-kind help is influenced by how close they live to their adult child (or daughter/son-in-law), whether they have a health problem, and how many individuals of the ascending generation are present (co-surviving). In addition, this type of exchange varies depending upon their adult child’s residential location, religious background, marital and employment status, the age at which they had their first child, whether they have a health problem, and the number of people with whom they co-reside. It also varies quite significantly depending upon whether they have a grandchild who continues to receive in-kind help from their parents once they have left home or not.
As might be expected, whether an ageing parent receives help will reflect how far away they live from their offspring; those living nearby, within 20 km of their adult child, for example, will be much more likely (over five times in fact) to receive in-kind help than if they lived over 100 km from them (Table 2, Model 1, section “Ageing Parent”, odds ratio: 5.16). Unsurprisingly, having a long-term health problem means that, in later life, a parent can expect to receive more material help from their child than would otherwise be the case if they were in good health; the odds are increased by about 50% because of poor health status (Table 2, Model 1, odds ratio: 1.46). The fewer members of the ascending generation there are (the parents or parents-in-laws generation), the more likely the mid-life respondent will be to provide them with in-kind help. Interestingly, and although results are not statistically significant, the adult child does not appear to make a distinction between mother or mother-in-law when providing in-kind help, but may be less inclined to offer it to their father or father-in-law, a finding which suggests the predominance of gender over kinship bond.
Table 2 Logistic regression models—covariates expressed as odds ratios (1 = yes, 0 = no). Effects of selected characteristics on the likelihood of a mid-life respondent providing in-kind or emotional support to their ageing parent (n = 584).
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|
|
Model 1 |
Model 2 |
|
|
|
In-kind |
Emotional |
|
Ageing parent |
|
|
|
|
Distance (km) |
100+ |
1.00 |
1.00 |
|
|
≤3–20 |
5.16*** |
2.16*** |
|
|
21–100 |
7.65*** |
1.60 |
|
Kinship |
Mother |
1.00 |
1.00 |
|
|
Father |
0.67 |
0.80 |
|
|
Mother-in-law |
1.16 |
0.41** |
|
|
Father-in-law |
0.53 |
0.14*** |
|
Health problem |
No |
1.00 |
1.00 |
|
|
Yes |
1.46* |
0.97 |
|
Number in ascending generation |
1 |
1.00 |
1.00 |
|
|
2 |
1.01 |
0.70 |
|
|
3–4 |
0.54** |
0.66 |
|
Mid-life respondent |
|
|
|
|
Gender |
Male |
1.00 |
1.00 |
|
|
Female |
1.25 |
1.32 |
|
Age at survey |
40–44 |
1.00 |
1.00 |
|
|
45–49 |
1.10 |
0.83 |
|
|
50–54 |
0.72 |
0.75 |
|
Ethnicity |
Non-Pakeha |
1.00 |
1.00 |
|
|
Pakeha |
0.91 |
1.21 |
|
Residence |
City |
1.00 |
1.00 |
|
|
Town |
0.77 |
0.99 |
|
|
Rural |
0.56* |
1.07 |
|
Religion |
None |
1.00 |
1.00 |
|
|
Christian |
1.65* |
1.10 |
|
|
Other Christian |
1.93* |
1.18 |
|
|
Non-Christian |
1.32 |
1.03 |
|
Marital status |
Married/de facto |
1.00 |
1.00 |
|
|
Single/widowed |
0.44* |
0.23*** |
|
|
Divorced/separated |
0.50* |
0.43** |
|
Educational achievement |
None |
1.00 |
1.00 |
|
|
Secondary |
0.76 |
2.86*** |
|
|
Tertiary |
0.89 |
3.16*** |
|
|
Bachelors |
1.66 |
4.44*** |
|
Number in household |
1–2 |
1.00 |
1.00 |
|
|
3 |
0.55* |
1.03 |
|
|
4 |
0.58 |
0.63 |
|
|
5+ |
0.38** |
1.04 |
|
Employment status |
Full-time |
1.00 |
1.00 |
|
|
Part-time |
0.70 |
0.94 |
|
|
Self-employed |
0.99 |
1.20 |
|
|
Homemaker |
1.58 |
1.00 |
|
|
Unemployed |
0.37*** |
1.77 |
|
Age at first birth |
< 21 |
1.00 |
1.00 |
|
|
21+ |
2.01** |
0.90 |
|
|
No child |
2.91* |
0.86 |
|
Health problem |
No |
1.00 |
1.00 |
|
|
Yes |
2.01*** |
1.56* |
|
Respondent’s child |
|
|
|
|
Receives in-kind help |
Does not receive |
1.00 |
1.00 |
|
|
Yes, receives |
2.90*** |
5.98*** |
|
|
No focal child |
2.15** |
4.52*** |
|
|
|
|
|
|
Log likelihood |
|
–334 |
–319 |
|
Wald χ2 |
|
78 |
107 |
|
P-value |
|
.0001 |
.0001 |
*** P < 0.01; ** P < 0.05; * P < 0.10. Reference category = 1.00.
When an ageing parent has a child living in a rural area, or who is not in a partnership because of divorce, separation, or widowhood and who shares their household with several people (e.g., with five or more), their chances of benefiting from material support will probably decrease (Table 2, Model 1, section “Respondent”). Adult children who are of Christian background will also be more likely to offer help compared to those with no religion (65 and 93% more likely). In terms of employment status, it may be that only adult children who are homemakers will be more likely to give in-kind support, presumably because of more free time (but the relationship is not statistically significant), whereas the unemployed are clearly much less likely than those employed full time to have provided it. The age at which the adult child has had a first birth influences this form of functional solidarity quite significantly, particularly amongst those who had a child after the age of 20. Surprisingly, parents or in-laws are more likely to have received in-kind support from an adult child who is experiencing long-term health problems.
The last explanatory factor included in Model 1 has been designed to capture the effect that the presence of a third generation, a grandchild (a focal child), might have on the likelihood of the respondent’s ageing parent receiving in-kind help (Table 2, Model 1, section “Respondent’s Child”). A focal child, as noted earlier, is a child aged 15 or more who does not live with the respondent, that is, their mid-life parent.8 For respondents who do have a focal child, the variable reflects whether this child received in-kind support from them. Interestingly, an ageing parent is over two times more likely to receive in-kind support when the respondent has no focal child, or if they do, when this child also receives in-kind support (odds ratios 2.15 and 2.90). The significance of this result is the object of further commentary in the Discussion section of the paper.
Logistic regression results show that a small number of explanatory variables had a significant effect on the likelihood of an ageing parent receiving emotional support. For the ageing parent, these include residential proximity and the type of kinship bond they share with the mid-life respondent (Table 2, Model 2), and for the mid-life respondent, the key variables were their marital and health status and educational achievement. As was the case for in-kind help, receipt of emotional help is also associated with the presence of a focal child.
The residential proximity of ageing parent to adult child does
influence this type of transaction, but only when distances separating
them are small: the closer they live to each other, the more likely the
ageing parent will be to benefit from emotional support (when living
within 20 km of each other, parents are more than twice as likely as
those living over a 100 km from their child to receive it). The kinship
bond between ageing parent and adult child proves more important than
an ageing parent’s gender: both father- and mother-in-law are much less
likely to receive emotional support than the respondent’s own parents,
but for in-laws, this difference is more pronounced for males. Parental
health status and the total number of parents alive do not make any
difference to the likelihood of receiving emotional support.
Of all the characteristics of the adult child, only three were of significance: marital status, educational achievement, and health status. An ageing parent whose adult child had no partner was much less likely to receive emotional support compared to those who did. This support was more forthcoming from adult children the higher their level of educational achievement, and proves to be a factor of significant import: when respondents had achieved at least bachelor level qualifications, for example, they were about four and a half times more likely to provide emotional support compared to those who had no educational qualification. As was the case for in-kind support, adult children with a health problem are more likely (more than 50%) to give emotional support to their parents.
Finally, the relationship between the focal child and the ageing parent’s receipt of emotional support is examined. Respondents with no focal child, and those with one who receives in-kind help, are four and a half times to six times more likely to provide emotional support to an ageing parent than those who have a focal child to whom they give no in-kind help. As an initial interpretation of these findings which are elaborated further in the Discussion section, what appears to matter here is not the presence or absence of a focal child per se, but rather whether this child actually benefits from support from their own parent.
Informed by research developed in the field of intergenerational family solidarity, the purpose of this paper was to establish the most influential factors affecting functional solidarity—the likelihood of an adult child in mid-life providing material/in-kind, emotional or financial support to an ageing parent or in-law. This investigation was grounded on the postulate that these transactions would be structured in particular by gender, and that any asymmetry in terms of the types of help provided to ageing parent and young, adult child could potentially offset the conflicting constraints that mid-life individuals are anticipated to experience in a three-generation context. Underpinning this work has been an investigation of the broader debate surrounding the mid-life period as one in which intergenerational bonds of solidarity may be increasingly compromised as those in this period of the life course confront the potentially competing support or care needs of older and younger generations.
The remainder of the discussion will focus on the key factors influencing functional -solidarity, in-kind and emotional support, highlighting the broader theoretical significance of these findings when appropriate.
We have found that it is the ageing parent’s gender which will exert some influence on functional solidarity and may increase their chances of receiving in-kind help in their roles as mother or mother-in-law. The mid-life respondent’s ethnicity and age do not affect the likelihood that they will continue to keep links of functional solidarity with their ageing parent, but religious background will be a factor to consider when it comes to the continuity of in-kind help.
The most striking result is that the more successful an adult child has been in pursuing educational qualifications, the more an ageing parent can expect to receive emotional support from them. Interestingly, these results mirror those found for the mid-life parent who provides emotional support to their young, adult child who has left home (Hillcoat-Nallétamby & Dharmalingam 2003). For the results of the present analysis then, could it be that if higher socio-economic status contributes to increased geographic mobility, then adult children may be more likely to substitute in-kind help which requires their physical presence, with emotional help which is not necessarily mediated by proximity? Some support for this interpretation comes from findings on the influence of social class (and income) and its association with geographic mobility. Rossi & Rossi (1990: 434) have found that upward mobile adult children (low-income parents and high income children) engage less in exchanges of help than downwardly mobile children (high-income parents, low-income children). In particular, low-income children provide more in-kind help (chores) than high-income children. Silverstein & Bengtson (1997: 450) found that higher income is associated with adult children being more likely to have “intimate but distant” relations with fathers (strong emotional closeness but not geographic proximity, contact, providing help or receiving help), and this is consistent with the greater geographic dispersion and a lower affiliation to family found amongst higher social classes.
Some of the factors examined influence both dimensions of functional solidarity. When an adult child has no partner, for example, their ability or willingness to engage in assisting their parent with either emotional or in-kind help is certainly reduced, suggesting that their inaction reflects some constraint, such as time. This said, neither geographic distance (unless they live a considerable distance from their parent—more than 100 km) nor a personal, long-term health condition appear to be associated with the provision of either type of support. It also seems that an adult child will be far more likely to maintain these bonds of solidarity with their ageing parent provided all their children who are aged 15 or more are still living at home (Table 2, category “no focal child”9 of respondent’s child variable). In addition, when respondents do have one of their children in this age range who has left home (categories “does not receive” and “yes, receives”), grandparents are much more likely (nearly six times in fact) to benefit from emotional support when the grandchild continues to receive in-kind support from home compared to one who does not.
The first two results concur with international findings on the effect of adult children’s marital status in influencing contact or provision of support to ageing parents (Cicirelli 1983, 1984; Attias-Donfut 1995a), and on the determining effect of residential proximity in regulating the exchange of resources (Hoyert 1991; Arrondel & Masson 2001), but the latter two findings require further interpretation. The more intriguing of findings is that older parents’ receipt of emotional and in-kind help is somehow tied to the likelihood of a grandchild also receiving the latter type of support or of there being no grandchild (i.e., no grandchild who has already reached aged 15 and left home, the focal child in this study). Given that these results are net of the influence of all the other individual and group level factors, further explanation probably comes from the factors which were not included in the models.
The first of these is the lack of data on the ageing parent’s age. Rossi & Rossi (1990) have identified the effect of life course changes in influencing the flow of support provided across the parent-adult child dyad. They find, for example, that an increasing number of adult children provide money to their mothers as the latter age, or that daughters provide increasingly more help to mothers with domestic chores as their parents age.
Another explanation could be that a key interpretative element is missing because there are no data on the normative, affective or consensual aspects of intergenerational relations. Others have found, for example, that with higher affective solidarity, comes greater associative solidarity (Roberts & Bengtson 1990) and, in turn, a greater likelihood of the evidence of functional solidarity, particularly financial exchanges (Rossi & Rossi 1990). Shuey & Hardy (2003), in their study of family allocation decisions regarding intergenerational transfers of assistance between couples and their ageing parent, find that those providing financial help to their children were also more inclined to provide help to their ageing parent or in-law. They point to the importance of considering unobserved but underlying dispositions that may influence intergenerational transfers because they represent a trait of generosity underpinning supportive behaviour in certain families.
More recent work focusing on classificatory approaches identifying types of family intergenerational relationships provides a further avenue of explanation for differences in family relationships, in terms of transfers of support between adult children and their parents (Berkman et al. 1991; Silverstein & Litwak 1993; Pyke & Bengtson 1996; Silverstein & Bengtson 1997; Burholt & Wenger 1998). Silverstein & Bengtson’s (1997) typology of family types, for example, includes “detached” relations which are qualified by a lack of engagement between adult child and parent on any of the solidarity elements of association, affect or geographic proximity.
Could the respondents in the New Zealand sample who give less readily to their ageing parent when also not providing in-kind support to their own child (the focal child who receives no in-kind help) be displaying a certain type of family relationship or “culture” with regard to exchanges, governed perhaps by norms, values, or attitudes towards their relations with family members? Hung and colleagues’ research in New Zealand, for example, on notions of obligation felt by younger European and Chinese family members to family elders, were able to identify family types through the combination of responses regarding feelings of filial obligation (financial support, respect, obedience, maintaining contact, etc.). They found that divergence with regard to filial obligations is characteristic of parent-child bonds for European families but that convergence is the norm for the Chinese dyads observed (Ng et al. 2000).
To explore this idea further, a “family values” index, previously described in the Data and Method section of the paper, was constructed. When included in the regression model for in-kind help, the coefficient for the variable “child receives in-kind help” became statistically insignificant but the new variable had an estimated odds ratio of 1.47 with a P-value of 0.12.
The interpretation offered of these results is t