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Enregistrement W2946010038

Policy implications of cultural shifts and enduring low fertility in Iran

2019· article· en· W2946010038 sur OpenAlexaff
Amir Erfani

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2019
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDemographic Trends and Gender Preferences
Établissements canadiensNipissing University
Organismes subventionnairesnon disponible
Mots-clésFertilityPsychologySociologyDemography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Fertility levels have fallen drastically to a below-replacement level (under two children per woman required to maintain the population) in most developed and some developing countries, including Iran. Over the past two decades, the total fertility rate of Iran (the average number of children per woman) has remained under the replacement level, dropping from 2.0 children per women in 2000 (1) to 1.8 in 2005 and then to 1.6 in 2018 (2,3). The persistent low fertility rate is an increasing concern for countries with low fertility, as it accelerates population ageing and declining labor force, with the prospect of severe consequences for economic development. As a result, increasing attention is being paid to policies to reduce the socioeconomic burdens of low fertility. These policies can be efforts to reverse declining fertility or to adapt to low fertility trends. The pronatalist efforts include positive measures, such as raising economic incentives and lowering costs of additional births, and negative measures that limit access to fertility control. However, increasing fertility through government intervention has been far more difficult and costly, than inducing a fertility decline, with minimal effect on raising fertility in many Western countries, and the application of negative measures in the past resulted in a temporary short-lived fertility rise along with a sharp rise in maternal morbidity and mortality, related to unintended pregnancies terminated by unsafe abortions. A recent example of the negative measures is the limitation in the government-funded family planning services in Iran that largely affected women from low socioeconomic status with large number of children (4), with minimal effect on raising fertility, because the publicly-funded contraceptive methods contributed to only 7% of the country’s fertility decline (5). Due to the minimal success of the pronatalist policies, many low-fertility nations decided to adapt their age-related social services, such as health-care, social security and retirement and education systems, to a low-fertility regime and aging population structure by taking measures such as raising retirement age, admitting immigrants and adjusting education, tax and health systems. For different political and economic reasons, Iran is not yet ready to apply any adapting measures. Therefore, for adequate policy responses to the country’s persistent below-replacement fertility, a thorough understanding of the formation of a person’s fertility intention, which is viewed as a key predictor of fertility behaviour, is essential. In the article, “Reasons for intending to have no children in Tehran, Iran”, published in the current issue of Journal of Community Health, Erfani and his colleague showed that after economic and parity-related reasons, “conflict of childbearing with own personal life, plans and interests” and “being worry about the future of their children”standout as the two most important social and cultural reasons for not wanting any (more) children. The other results of this study showed that these cultural reasons reported largely from those with higher levels of education and income, and having one or no child, suggesting that their low fertility intention is attributed to socio-cultural reasons rather than economic factors. These findings as well as evidence from other Iranian studies, stated below, are clear evidence for the fact that Iran has entered into a Second Demographic Transition, which relates low fertility to cultural shifts from traditional familial values toward individualization of moral norms and values, which occurred first in Europe, spread to North America and now to Asia (6). In fact, the emerging individualistic norms place less value on marriage and the family unit, and embrace alternate forms of family, including single parent, cohabitation, divorce, and childless family. Further evidence from recent Iranian studies have documented the emergence of such cultural changes, including the growth of materialistic values and individualism (7), rising childless or one-child families, delaying marriage and family formation, rising divorce rates and falling marriage rates, growing abortion rates (8), increasing premarital sex and cohabitations and positive attitudes toward premarital dating and sexual encounters. Therefore, individualism is the base for low fertility, as individuals give priority to their “well-being and self-expression”, choose their own partners and their desired form of relationship and number of children, and make family and childbearing decisions based on their self-interests. Consequently, if the government decides to employ any pronatalist measures to increase fertility in the country, it is absolutely necessary to bring into its calculation the recent cultural shifts to individualistic values and norms that affect individuals’ childbearing decision-making. DOI: http://doi.org/10.22037/ch.v6i2.23366.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,304
Tête enseignante GPT0,572
Écart entre enseignants0,268 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2019
Routes d'admission1
Résumé présentoui

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