Skip to main content

Living Arrangements and Fertility: A Case Study in Southern Ghana

  • Chapter
  • First Online:
Spatial Inequalities

Part of the book series: GeoJournal Library ((GEJL,volume 110))

Abstract

The traditional fertility transition model has been criticized because it is based on the demographic changes that occurred throughout Europe and the West at the end of the nineteenth century, where urbanization and industrialization were identified as major drivers of fertility decline. In other regions of the world, it appears that fertility transitions are driven by multiple interacting factors (Mason 1997) that are increasingly associated with an urban transition rather than industrialization and economic growth. It is now widely recognized that urban areas tend to have lower fertility rates than their rural counterparts (White et al. 2005). Given Africa’s current rapid pace of urbanization (United Nations 2006), one would expect a strong decline in overall fertility rates, though such declines have stalled in much of the continent, possibly attributable to the cultural importance given to reproduction as a means to ensure the survival of traditional lineages (Caldwell 1996).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Addai, I., & Trovato, F. (1999). Structural assimilation and ethnic fertility in Ghana. Journal of Comparative Family Studies, 30(3), 409.

    Google Scholar 

  • Adepoju, A., & Mbugua, W. (1997). The African family: An overview of changing forms. In A. Adepoju (Ed.), Family, population, and development in Africa. London: Zed Books.

    Google Scholar 

  • Bongaarts, J. (2001). Household size and composition in the developing world in the 1990s. Population Studies, 55(3), 263–279.

    Article  Google Scholar 

  • Bongaarts, J., & Watkins, S. C. (1996). Social interactions and contemporary fertility transitions. Population and Development Review, 22(4), 639–682.

    Article  Google Scholar 

  • Bongaarts, J., Frank, O., & Ron, L. (1984). The proximate determinants of fertility in sub-Saharan Africa. Population and Development Review, 10(3), 511–537.

    Article  Google Scholar 

  • Caldwell, J. C. (1967). Fertility attitudes in three economically contrasting rural regions of Ghana. Economic Development and Cultural Change, 15(2), 217–238.

    Article  Google Scholar 

  • Caldwell, J. C. (1996). The demographic implications of west African family systems. Journal of Comparative Family Studies, 27(2), 331.

    Google Scholar 

  • Caldwell, J. C., & Caldwell, P. (1987). The cultural context of high fertility in sub-Saharan Africa. Population and Development Review, 13(3), 409–437.

    Article  Google Scholar 

  • Coale, A. J. (1973). The demographic transition reconsidered in International Population Conference, Liège (Vol. 1, pp. 53–72). Liège: IUSSP.

    Google Scholar 

  • Dodoo, F. N. A. (1998). Marriage type and reproductive decisions: A comparative study in sub-Saharan Africa. Journal of Marriage and Family, 60(1), 232–242.

    Article  Google Scholar 

  • Getis, A., & Griffith, D. A. (2002). Comparative spatial filtering in regression analysis. Geographical Analysis, 34(2), 130–140.

    Google Scholar 

  • Gyimah, S. O., Takyi, B. K., & Tenkorang, E. Y. (2008). Denominational affilitation and fertility behaviour in an African context: An examination of couple data from Ghana. Journal of Biosocial Science, 40(3), 445.

    Article  Google Scholar 

  • Harris, R. J., & Longley, P. A. (2000). New data and approaches for urban analysis: Modelling residential densities. Transactions in GIS, 4(3), 217.

    Article  Google Scholar 

  • Lu, D., & Weng, Q. (2004). Spectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM + imagery. Photogrammetric Engineering and Remote Sensing, 70, 1053–1062.

    Google Scholar 

  • Madhavan, B. B., Kubo, S., Kurisaki, N., & Sivakumar, T. V. L. N. (2001). Appraising the anatomy and spatial growth of the Bangkok metropolitan area using a vegetation-impervious-soil model through remote sensing. International Journal of Remote Sensing, 22(5), 789–806.

    Article  Google Scholar 

  • Mason, K. O. (1997). Explaining fertility transitions. Demography, 34(4), 443–454.

    Article  Google Scholar 

  • McDaniel, A., & Zulu, E. (1996). Mothers, fathers, and children: Regional patterns in child–parent residence in sub-Saharan Africa. African Population Studies, 11(1), 1–28.

    Google Scholar 

  • Moultrie, T. A., & Timaeus, I. M. (2001). Fertility and living arrangements in south Africa. Journal of Southern African Studies, 27(2), 207–223.

    Article  Google Scholar 

  • Nukunya, G. K. (2003). Tradition and change in Ghana: An introduction to sociology. Accra: Ghana University Press.

    Google Scholar 

  • Oheneba-Sakyi, Y. A. W., & Takyi, B. K. (2001). Effects of couple’s characteristics on contraceptive use in sub-Saharan Africa: The Ghanaian example. Journal of Biosocial Science, 29(01), 33–49.

    Article  Google Scholar 

  • Phinn, S., Stanford, M., Scarth, P., Murray, A. T., & Shyy, P. T. (2002). Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques. International Journal of Remote Sensing, 23(20), 4131–4153.

    Article  Google Scholar 

  • Rashed, T., Weeks, J. R., Gadalla, M. S., & Hill, A. G. (2001). Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: A case study of the greater Cairo, Egypt. Geocarto International, 16(4), 5–16.

    Article  Google Scholar 

  • Rashed, T., Weeks, J. R., Stow, D., & Fugate, D. (2005). Measuring temporal compositions of urban morphology through spectral mixture analysis: Toward a soft approach to change analysis in crowded cities. International Journal of Remote Sensing, 26(4), 699–718.

    Article  Google Scholar 

  • Ridd, M. K. (1995). Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities. International Journal of Remote Sensing, 16(12), 2165–2185.

    Article  Google Scholar 

  • Roberts, D. A., Batista, G. T., Pereira, J. L. G., Waller, E. K., & Nelson, B. W. (1998). Change identification using multitemporal spectral mixture analysis: Applications in eastern Amazonia. In R. S. Lunetta & C. D. Elvidge (Eds.), Remote sensing change detection: Environmental monitoring methods and applications (Vol. 9, pp. 137–159). Chelsea: Ann Arbor Press.

    Google Scholar 

  • Small, C. (2003). High spatial resolution spectral mixture analysis of urban reflectance. Remote Sensing of Environment, 88(1–2), 170–186.

    Article  Google Scholar 

  • Small, C. (2005). A global analysis of urban reflectance. International Journal of Remote Sensing, 26(4), 661–681.

    Article  Google Scholar 

  • Song, C. (2005). Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability? Remote Sensing of Environment, 95(2), 248–263.

    Article  Google Scholar 

  • Stoler, J., Daniels, D., Weeks, J. R., Stow, D. A., Coulter, L. L., & Finch, B. K. (2012). Assessing the utility of satellite imagery with differing spatial resolutions for deriving proxy measures of slum presence in Accra, Ghana. GIScience and Remote Sensing, 49(1), 31–52.

    Article  Google Scholar 

  • Tacoli, C. (1998). Rural–urban interactions: A guide to the literature. Environment and Urbanization, 10(1), 147–166.

    Article  Google Scholar 

  • United Nations Population Division. (2006). World Urbanization Prospects: The 2006 revision. New York: UN Population Division, Department of Economic and Social Affairs.

    Google Scholar 

  • Ward, D., & Phinn, S. R. (2000). Monitoring growth in rapidly urbanizing areas using remotely sensed data. The Professional Geographer, 52(3), 371.

    Article  Google Scholar 

  • Weeks, J. R. (2004). The role of spatial analysis in demographic research. In M. F. Goodchild & D. G. Janelle (Eds.), Spatially integrated social science (pp. 381–399). New York: Oxford University Press.

    Google Scholar 

  • Weeks, J. R., Getis, A., Hill, A. G., Gadalla, M. S., & Rashed, T. (2004). The fertility transition in Egypt: Intraurban patterns in Cairo. Annals of the Association of American Geographers, 94(1), 74.

    Article  Google Scholar 

  • Weeks, J. R., Hill, A., Stow, D., Getis, A., & Fugate, D. (2007). Can we spot a neighborhood from the air? Defining neighborhood structure in Accra, Ghana. GeoJournal, 69(1), 9–22.

    Article  Google Scholar 

  • White, M. J., Tagoe, E., Stiff, C., Adazu, K., & Smith, D. J. (2005). Urbanization and the fertility transition in Ghana. Population Research and Policy Review, 24(1), 59.

    Article  Google Scholar 

  • Wu, C. (2004). Normalized spectral mixture analysis for monitoring urban composition using ETM + imagery. Remote Sensing of Environment, 93(4), 480–492.

    Article  Google Scholar 

  • Wu, C., & Murray, A. T. (2003). Estimating impervious surface distribution by spectral mixture analysis. Remote Sensing of Environment, 84(4), 493–505.

    Article  Google Scholar 

Download references

Acknowledgements

This research was funded in part by grant number R01 HD054906 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Child Health and Human Development or the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Magdalena Benza .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht.

About this chapter

Cite this chapter

Benza, M. (2013). Living Arrangements and Fertility: A Case Study in Southern Ghana. In: Weeks, J., Hill, A., Stoler, J. (eds) Spatial Inequalities. GeoJournal Library, vol 110. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6732-4_9

Download citation

Publish with us

Policies and ethics