File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1007/s11113-019-09539-w
- Scopus: eid_2-s2.0-85070858609
- WOS: WOS:000540137800001
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Targeting and Mistargeting of Family Policies in High-Income Pacific Asian Societies: A Review of Financial Incentives
Title | Targeting and Mistargeting of Family Policies in High-Income Pacific Asian Societies: A Review of Financial Incentives |
---|---|
Authors | |
Keywords | Elasticity Hong Kong Japan Pronatalist measures Singapore |
Issue Date | 2020 |
Publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0167-5923 |
Citation | Population Research and Policy Review, 2020, v. 39 n. 3, p. 389-413 How to Cite? |
Abstract | Very low fertility rates can be found in many high-income Pacific Asian societies, such as Hong Kong, South Korea, Japan, Singapore, and Taiwan. Governments in these territories have already taken pronatalist policies but with only modest effects, especially when measured by overall total fertility rate. Mistargeting has been cited as a potential explanation for this impact. To explore this notion in greater depth, we first identify the potential target groups that are most influential in changing the TFR for the five societies, based on a stochastic model and fertility elasticity analyses. Then we examine the targeting of current pronatalist policies, especially financial incentives and marriage policies. The analyses show that marriage rates, especially among women aged 25–29 are the most influential factor in shaping contemporary TFRs. Third and higher order births are insignificant in changing the fertility trajectories for all the five places. Besides, there are also territory-specific patterns. For Hong Kong, Taiwan and Singapore, first births (especially among women aged 30–34) are the second most influential factor; for South Korea, second births (especially among women aged 30–34) actually play a very important role, next only to marriage; for Japan, first- and second births are much less influential while marriage is an overwhelmingly essential factor of fertility. Furthermore, the review of financial incentives in these places reveals the mismatch between the targeting suggested by our analysis and the targeting implied by current policy measures. The mistargeting, piecemeal measures and the low level of financial support may be partly responsible for the ineffectiveness of the governmental action. © 2019, Springer Nature B.V. |
Persistent Identifier | http://hdl.handle.net/10722/291017 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.850 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, M | - |
dc.contributor.author | Gietel-Basten, S | - |
dc.contributor.author | Yip, PSF | - |
dc.date.accessioned | 2020-11-02T05:50:23Z | - |
dc.date.available | 2020-11-02T05:50:23Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Population Research and Policy Review, 2020, v. 39 n. 3, p. 389-413 | - |
dc.identifier.issn | 0167-5923 | - |
dc.identifier.uri | http://hdl.handle.net/10722/291017 | - |
dc.description.abstract | Very low fertility rates can be found in many high-income Pacific Asian societies, such as Hong Kong, South Korea, Japan, Singapore, and Taiwan. Governments in these territories have already taken pronatalist policies but with only modest effects, especially when measured by overall total fertility rate. Mistargeting has been cited as a potential explanation for this impact. To explore this notion in greater depth, we first identify the potential target groups that are most influential in changing the TFR for the five societies, based on a stochastic model and fertility elasticity analyses. Then we examine the targeting of current pronatalist policies, especially financial incentives and marriage policies. The analyses show that marriage rates, especially among women aged 25–29 are the most influential factor in shaping contemporary TFRs. Third and higher order births are insignificant in changing the fertility trajectories for all the five places. Besides, there are also territory-specific patterns. For Hong Kong, Taiwan and Singapore, first births (especially among women aged 30–34) are the second most influential factor; for South Korea, second births (especially among women aged 30–34) actually play a very important role, next only to marriage; for Japan, first- and second births are much less influential while marriage is an overwhelmingly essential factor of fertility. Furthermore, the review of financial incentives in these places reveals the mismatch between the targeting suggested by our analysis and the targeting implied by current policy measures. The mistargeting, piecemeal measures and the low level of financial support may be partly responsible for the ineffectiveness of the governmental action. © 2019, Springer Nature B.V. | - |
dc.language | eng | - |
dc.publisher | Springer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0167-5923 | - |
dc.relation.ispartof | Population Research and Policy Review | - |
dc.rights | This is a post-peer-review, pre-copyedit version of an article published in [insert journal title]. The final authenticated version is available online at: https://doi.org/[insert DOI] | - |
dc.subject | Elasticity | - |
dc.subject | Hong Kong | - |
dc.subject | Japan | - |
dc.subject | Pronatalist measures | - |
dc.subject | Singapore | - |
dc.title | Targeting and Mistargeting of Family Policies in High-Income Pacific Asian Societies: A Review of Financial Incentives | - |
dc.type | Article | - |
dc.identifier.email | Yip, PSF: sfpyip@hku.hk | - |
dc.identifier.authority | Yip, PSF=rp00596 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11113-019-09539-w | - |
dc.identifier.scopus | eid_2-s2.0-85070858609 | - |
dc.identifier.hkuros | 318496 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 389 | - |
dc.identifier.epage | 413 | - |
dc.identifier.isi | WOS:000540137800001 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0167-5923 | - |