Background
Child poverty is a growing problem around the world. In 2016, the prevalence of children living in poverty was 17.0% in 89 countries [
1] and 13.1% among OECD countries [
2]. The rates have increased in more than half of OECD countries since the early 1990s [
3], which is partially due to the long-term changes in demographics and labour market behavior, or insufficient development of policies tackling poverty [
4,
5]. It is also a growing problem in Japan, where the child poverty rate was 13.9% in 2015 [
6,
7], which is relatively higher compared to the average rate of OECD countries. Since childhood is a critical period for human development, the impact of growing up in poverty affects children throughout their life course. Children living in poverty are less likely to perform well at school, to have good health or life satisfaction, and to realize their full potential [
8]. Combatting child poverty, therefore, is an increasingly important public health issue.
To tackle child poverty, several social policies are implemented. Among the policies, cash transfer, where money is given to households directly, is believed to be more beneficial [
9] than in-kind benefit because it allows more flexible money allocation within families to meet the needs of each household and the children [
10]. Although some studies have shown that unconditional cash transfer programs do not impact on the total health service usage among children and adults [
11,
12], nor on inequalities in household income and child’s health status [
13], the programs were also shown to improve some health determinants [
11,
14‐
16], health service access [
17,
18], and health outcomes [
15,
17] in low- and middle-income countries. Comparing to low- and middle-income countries, the number of studies in high-income countries is small, especially in medical settings. A randomized controlled trial in Australia showed the effectiveness of conditional cash transfer on vaccination uptake [
19], while health outcomes in high-income countries were not conclusive [
20,
21].
Child allowance, a cash transfer program targeting households with children, is thought to improve children’s outcomes through two mechanisms. One is the direct impact of increased investment in children. This pathway is called the ‘resource channel’ [
22,
23]. Several studies proved that child allowance payments increased household spending on children [
22,
24], such as on education and basic expenditure, and reduced risky consumption of alcohol or tobacco [
22]. The psychological mechanism underlying this favorable money allocation is known as the ‘labeling effect’, in that parents experience a moral obligation to spend a relatively large part of their child allowance on their children [
24]. This phenomenon is partially influenced by peer pressure, thus we hypothesized its impact might differ depending on the country where the policy is implemented. Therefore the impact should be considered in each social context although this has not been done universally so far. In addition, in spite of the theoretical hypothesis that resource channel is beneficial for children, there are still the limited number of studies exploring what kind of investment could produce benefits for children, and only investing in early childhood education and care [
25], or extracurricular activities [
26] have been shown to be beneficial. Thus to date, there is no empirical evidence showing that child allowance may have an impact on child health and well-being through resource channel.
The second pathway, known as the ‘family process channel’, involves improving the quality and quantity of parent-child interactions and, as a result, family function [
22,
23]. It is well known that poverty badly affects child development [
27‐
31] through poor parental cognitive function and economic decision making [
32] and low quality of parenting [
33] due to parental mental stress [
33]. In addition, unpredictable condition due to unstable financial status [
30] inhibits child healthy development because of family conflicts and increased parental working time induced by economic pressure [
34]. Direct cash transfer could mitigate these negative factors by providing a fixed income. Though the importance of child-parental interaction and family social capital on a child’s well-being is established [
35,
36], this process is often overlooked when assessing the impact of child allowance payments.
Not only the mechanism but also the effectiveness of child allowance payments on children’s well-being itself has not been widely researched. Some studies have shown that child allowance can increase favorable health behaviors such as vaccination [
37], and improve physical and mental health for both children and mothers [
23]. The evidence on academic outcomes is controversial [
23,
38]. As for mitigating child poverty, recent research has shown that both the selective system targeting poor children and the universal system, which often holds a higher distributive budget, are strongly associated with higher levels of child poverty reduction [
30,
39,
40]. Russian research, however, has demonstrated that more poverty reduction can be observed in the universal system rather than in a targeted system [
41], and a study in Canada showed more investment in education among low-educated families under the universal system [
22]. In addition, universal distribution helps to eliminate the discrimination or stigma associated with severe poverty among people who have no option but to turn to a social safety net [
30].
A child allowance system has been also implemented as a social security policy for children in Japan. Under the national system, caregivers or parents who raise children aged 0 to 15 [
42] can receive payments, or a child allowance (
jido teate). The amount of payment is determined based on the number and ages of children, and household income (i,e. means test). For example, if household income is below the threshold, families with children aged 0 to 3 years old are eligible to receive 15,000 JPY per month and 10,000 JPY per month is given if children are aged 3 to 15 years old. Under the current system, even caregivers whose household income exceeds the threshold can receive a special benefit of 5,000 JPY per month (
tokurei kyufu), making the Japanese child allowance system a universal system that is fairly accessible to most families (for more details of Japanese child allowance system, see
Appendix).
Previous Japanese studies showed controversial results on money allocation within families. Some showed that receiving the child allowance resulted in increased expenditure on children, such as education and insurance [
43]. On the other hand, others revealed that most of the allowance was saved [
44] and expenditure on children did not change [
45]. Moreover, to the best of our knowledge, no previous study has explored whether child allowance improves child health or well-being in Japan, making it problematic to enforce an effective child allowance policy from a public health perspective. In addition, the Japanese sample may have a unique contribution in assessing the impact of child allowance on child well-being. This is because under the current system, potential recipients must submit application forms to each municipality in order to receive the allowance, which makes the proportion of recipients among eligible children lower than expected, that is, 92% in 2017 [
46], and this enables us to evaluate its impact by comparing recipients and non-recipients with similar backgrounds. In addition, studies investigating the impact of child allowance on child well-being, including mental health are scarce. Thus, this study aimed to examine the impact of child allowance on child well-being, and parental investment in their children.
Results
Table
1 describes the characteristics of samples with and without child allowance before and after propensity score matching. As for the recipient families, the median numbers of younger and older siblings were both 0, 36.5% of families earned JPY 3,000,000 to 5,999,999 per year, 47.3% of children were boys, and 30.4, 33.4, and 36.2% were 1st, 5th, and 8th grade children, respectively. In families without child allowance, less younger siblings and more older siblings were cohabiting (
p < 0.001 and
p = 0.047, respectively), more lived in capital city (53.4% vs 61.6%,
p = 0.024), both mothers and fathers were older (43.6yo vs 41.2yo, p < 0.001 and 46.4yo vs 43.1yo, p < 0.001), parents had completed higher education (p < 0.001), total wages for employment was relatively high or low (p < 0.001), less parents suffered from mental health problems (
p = 0.027), and parents smoked less (p < 0.001).
Table
2 shows the association between child allowance status and child health outcomes. The inverse association of child allowance status with total difficulties score (coefficient = − 1.29, 95% CI = − 2.32 to − 0.25) and reduction of overweight (odds ratio = 0.51, 95% CI = 0.29 to 0.91) were observed. There was no association with underweight, prosocial behavior, depressive symptoms and self-rated health.
Table 2
The coefficients of the association between child allowance status and child health before and after matching
Physical health |
Body mass index | 5595 | | | | | | | 124 | | | |
Underweight | | 1.03 | 0.53 to 2.00 | 0.928 | 0.91 | 0.46 to 1.80 | 0.788 | | 0.70 | 0.25 to 1.99 | 0.501 |
Normal weight | | (Ref.) | | | (Ref.) | | | | (Ref.) | | |
Overweight | | 0.67 | 0.48 to 0.94 | 0.020 | 0.62 | 0.44 to 0.87 | 0.006 | | 0.51 | 0.29 to 0.91 | 0.024 |
Mental health | N | B | 95%CI | P-value | B | 95%CI | P-value | N | B | 95%CI | P-value |
SDQ total difficulties score | 8102 | −0.07 | −0.79 to 0.66 | 0.857 | −0.93 | −0.61 to −0.27 | 0.006 | 433 | −1.29 | −2.32 to −0.25 | 0.015 |
SDQ prosocial score | 8108 | −0.02 | −0.29 to 0.26 | 0.900 | − 0.01 | − 0.28 to 0.27 | 0.957 | 434 | −0.08 | − 0.50 to 0.34 | 0.695 |
Depression | 5628 | − 0.24 | − 0.84 to 0.36 | 0.432 | − 0.16 | − 0.76 to 0.43 | 0.586 | 365 | 0.33 | −0.46 to 1.11 | 0.414 |
Self-rated health | 5616 | −0.03 | −0.18 to 0.12 | 0.697 | 0.00 | −0.15 to 0.16 | 0.977 | 360 | 0.21 | −0.01 to 0.42 | 0.066 |
Table
3 shows the comparison of household investment between child allowance non-recipients and recipients. 14.9% of recipients lacked the goods for child, 24.9% did not hold family events, 29.1% payed 0 to 9999 JPY for child extracurricular activities and 27.5% maltreated child. Mean parent-child positive interaction score was 21.7 and 20.9 for non-recipients and recipients respectively. There were no differences in household investments. Further sensitivity analysis applying multiple imputation showed similar results (supplementary table
2).
Table 3
The description of household expenditure of child allowance non-recipients and recipients before and after matching
Financial investment |
Goods for child |
Yes | 186 | 86.5 | 6909 | 88.4 | | 184 | 86.4 | 177 | 85.1 | |
No | 29 | 13.5 | 911 | 11.7 | 0.408 | 29 | 13.6 | 31 | 14.9 | 0.705 |
Family events |
Yes | 179 | 81.7 | 5436 | 68.1 | | 177 | 81.6 | 163 | 75.1 | |
No | 40 | 18.3 | 2552 | 32.0 | < 0.001 | 40 | 18.4 | 54 | 24.9 | 0.103 |
Extracurricular activities |
0 JPY | 35 | 16.7 | 1547 | 20.2 | | 35 | 16.8 | 33 | 15.7 | |
0–9999 JPY | 65 | 31.0 | 2956 | 38.7 | | 64 | 30.8 | 61 | 29.1 | |
10,000–19,999 JPY | 42 | 20.0 | 1633 | 21.4 | | 42 | 20.2 | 50 | 23.8 | |
20,000–29,999 JPY | 28 | 13.3 | 839 | 11.0 | | 27 | 13.0 | 37 | 17.6 | |
≧ 30,000 JPY | 40 | 19.1 | 667 | 8.7 | < 0.001 | 40 | 19.2 | 29 | 13.8 | 0.388 |
Time investment |
Parent-child positive interaction score (1-45) |
| 21.66 | 4.9 | 22.32 | 5.0 | 0.060 | 21.70 | 4.9 | 20.86 | 4.8 | 0.079 |
No maltreatment |
Yes | 157 | 75.1 | 5057 | 66.1 | | 155 | 74.9 | 153 | 72.5 | |
No | 52 | 24.9 | 2592 | 33.9 | 0.007 | 52 | 25.1 | 58 | 27.5 | 0.583 |
Discussion
The current study explored the impact of child allowance on children’s physical and mental health (i.e., BMI, behavior problems, depression, and self-rated health), and parental investment in their children (i.e., financial investment such as material goods for children, family events, and extracurricular activities, and time investment such as interaction with children, and involvement in child maltreatment). We found that children showed less behavior problems and overweight, and they tended to rate themselves heathier, possibly due to receiving the child allowance. However, no impacts of the child allowance on household investments were observed.
Our study showed that child allowance payments might improve child behavior problems and self-rated health, which was consistent with results from a previous study in Canada showing the reduction in behavior problems, especially conduct and hyperactivity problems, and improvement in self-rated general health [
23]. Also, the current study showed the association between child allowance status and child overweight, which was in accordance with the previous findings [
61] although we could not find any link with underweight. The previous study revealed that determinants of behavior problems were household socioeconomic status, child characteristics, family characteristics such as parental psychiatric disorder and home environment quality [
62]. Self-rated health in childhood was related to low family support, missing meals and fewer outdoor activities [
63]. Those studies supported the theoretical hypothesis of the resource channel and the family process channel. However, we could not observe any increase in parental investment in children. One possible reason is that we could not capture the variation such as an increase in the number of child goods or family events or quality of investment, for example, more expensive materials or family trips. Also, due to the difficulties in assessing mental distress related to family financial issues, we could not fully examine how the family process changed. Behavior problems at school was related to academic achievements [
64], future earnings [
65] and adult health [
66], and self-rated health was shown to predict future health [
67], mortality [
68] and quality of life [
67]. Child overweight is one of the serious global problems. Therefore, although we could not demonstrate the mechanisms hypothesized as resource channel and family process channel, our findings on the relationship of child allowance with behavior problems, self-rated health and overweight may be important from a child health perspective. Understanding how child allowance affects child health is beneficial to developing more effective policy within a limited budget. Thus, future longitudinal studies and more thorough assessments of household investment and child health are warranted.
The current study has several limitations. First, the response rate in Kochi city was relatively low due to the use of postal mail. Although we weighted the response rates, sampling bias might exist. Second, since the targeted community was based in Kochi prefecture, where the commodity price is a little lower [
69], and the proportion of elderly people is increasing [
70], the population characteristics might not be generalizable to all Japanese. In addition, since propensity score matching selects the population to be analyzed, there might be selection bias resulting in affecting generalizability as well. Third, the exposure of interest—child allowance status—might be misclassified because it was self-reported. However, our data showed a reasonable take-up rate. The official percentage of families receiving child allowance in Japan was 92% [
46]. Additionally, thanks to a special benefit (
tokurei kyufu), we could expect that the child allowance take-up rate would lie between 92 and 100%. Our data showed that 97.3% of the population received child allowance, which was reliable. In addition, we considered that those who declared any allowance income were recipients of the allowance. Although this dichotomization reduced the quantity of information, considering the situation that child allowance status is often under-reported [
71] and there is no reason to believe that a person would declare to be a recipient when they are not (though the contrary is possible [
72]), our dichotomization is justified. Even if child allowance status is underreported, our results were underestimated and we could expect more benefits on child health. Fourth, there might be a potential misspecification in model for propensity score due to unobservable confounders, which might lead to biased estimates of propensity score and prevent from assessing the association between child allowance status and child health properly. Fifth, since the current study was cross-sectional in design, it was possible some findings were due to reverse causation, e.g., parents who have children with a good sense of well-being may spend more money on their children from the child allowance. In addition, considering evaluation studies with the experimental design in developing countries, future studies employing longitudinal design, including pre- and post-intervention periods at best, are warranted. Sixth, outcome measurements were self-reported, which may have systematic measurement error due to social desirability bias [
73] or psychological distress among child allowance recipients, although we adjusted potential covariates at most, such as mental health of caregivers. Further research assessing the well-being of children by teachers, school psychologists, pediatricians, or psychiatrists is needed.
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