TY - JOUR
T1 - Geospatial analysis of female fertility in Oman
T2 - do immigrant female domestic workers make a difference?
AU - Mansour, Shawky
AU - Al Awadhi, Talal
AU - Al Nasiri, Noura
N1 - Publisher Copyright:
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/1/2
Y1 - 2021/1/2
N2 - Despite the progress achieved in transformational development in socioeconomic domains, in Oman, like other Gulf Cooperation Council states, fertility rates are higher compared with those in other Middle East nations. Reproductive behaviour often varies geographically; consequently, analysing and modelling this phenomenon should be conducted at subnational and finer levels to capture spatial heterogeneity patterns. In this research, data from the last Omani census are used and local indicators of spatial associations (LISA) as well as spatial econometric models have been employed to examine the effects of sociocultural factors, particularly foreign female domestic workers, on local fertility variations. Remarkable spatial differences were observed in the effects of structural covariates on fertility rates. Several spatial clusters indicate a correlation between higher fertility rates and higher values of other explanatory sociocultural variables. Furthermore, the subnational variations of fertility rates are significantly explained by geographical and sociocultural factors, such a surban-rural settlement, education, female employment in governmental sectors, unemployed women, and the proportion of foreign female domestic workers. The findings also reveal that the rural and Bedouin communities, particularly in the internal governorates, not only displayed higher fertility rates, but also had more unemployed women.
AB - Despite the progress achieved in transformational development in socioeconomic domains, in Oman, like other Gulf Cooperation Council states, fertility rates are higher compared with those in other Middle East nations. Reproductive behaviour often varies geographically; consequently, analysing and modelling this phenomenon should be conducted at subnational and finer levels to capture spatial heterogeneity patterns. In this research, data from the last Omani census are used and local indicators of spatial associations (LISA) as well as spatial econometric models have been employed to examine the effects of sociocultural factors, particularly foreign female domestic workers, on local fertility variations. Remarkable spatial differences were observed in the effects of structural covariates on fertility rates. Several spatial clusters indicate a correlation between higher fertility rates and higher values of other explanatory sociocultural variables. Furthermore, the subnational variations of fertility rates are significantly explained by geographical and sociocultural factors, such a surban-rural settlement, education, female employment in governmental sectors, unemployed women, and the proportion of foreign female domestic workers. The findings also reveal that the rural and Bedouin communities, particularly in the internal governorates, not only displayed higher fertility rates, but also had more unemployed women.
KW - foreign female domestic workers
KW - GIS
KW - LISA
KW - spatial econometric models
KW - women fertility
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U2 - 10.1080/17441730.2020.1800224
DO - 10.1080/17441730.2020.1800224
M3 - Article
AN - SCOPUS:85089253010
SN - 1744-1730
VL - 17
JO - Asian Population Studies
JF - Asian Population Studies
IS - 1
ER -