Asset Ownership by Women in Urban and Rural South West Nigeria

Yetunde Olasimbo Mary Oladokun

doi:doi:10.11648/j.eco.20200902.11

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Asset Ownership by Women in Urban and Rural South West Nigeria

Yetunde Olasimbo Mary Oladokun

Published in Economics (Volume 9, Issue 2)

Received: 6 February 2020 Accepted: 25 February 2020 Published: 29 May 2020

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Abstract

In improving the welfare of women asset ownership plays a key role. Therefore this paper examined asset ownership by women in urban and rural South West (SW) Nigeria. Secondary data from Demographic and Health Survey 2013 was used. Data on 1551 rural and 4323 urban women in SW Nigeria was used. Information on their socio-economic characteristics and assets (physical and natural) was obtained. Data analysis was done using descriptive statistics, multiple correspondence analysis and probit regression. In rural and urban South West the mean age was 30 years. The mean household size in rural and urban SW was 6 and 5 persons respectively. Mobile telephone has a proportionally far higher weight (0. 043, 0.050) and radio too (0.037, 0.042) than the remaining assets in rural and urban SW. From the probit regression nine variables were found to be statistically significant at various levels in both rural and urban South West. The significant variables in rural SW were age (25-34) (-0.30), age 35-49 (0.51), employed in agric and allied sector (0.17), incomplete secondary school education (-0.14), complete secondary school education (-0.16), higher education (0.84), being a female household head (0.17), marital status-married (0.63). In the urban SW the variables that are significant are age-35-49 (-0.32), skilled and unskilled employment (0.13), employed in agric. and allied sector (-0.50), employed in the services sector (0.10), incomplete secondary education (0.24), complete secondary education (0.28), household sized 6-10 persons (-0.12), >10 persons household size (-0.23). Conceited efforts should therefore be put in place by women agencies to enact policies that will help women to own more assets.

Published in	Economics (Volume 9, Issue 2)
DOI	10.11648/j.eco.20200902.11
Page(s)	21-26
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Asset Ownership, Rural, Urban, South West, Women

References

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[2]	Barrett, C. B. and Reardon, T. 2000. Asset, activity, and income diversifications among African agriculturalist: Some practical issues. Retrieved April 28, 2009 from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=257344.
[3]	McPeak J. 2000. Analyzing and Addressing Localized Degradation in the Commons, Mimeo, Department of Agricultural Research and Managerial Economics, Cornel University, Ithaca, NY.
[4]	World Bank 2001. World Development Report 2000/2001- Attacking Poverty (New York: Oxford University Press).
[5]	Johnson, N., Njuki, J., Waithanji, E., Nhambeto, M., Rogers, M. and Kruger, E. H. 2013. The gendered impacts of agricultural asset transfer projects: Lessons from the Manica Smallholder Dairy Development Program. CAPRI Working Paper No. 115. Washington, DC: International Food Policy Research Institute. http://dx.doi.org/10.2499/CAPRiWP115.
[6]	Oladokun Yetunde Olasimbo Mary and Adenegan Kemisola Omorinre (2019). Asset Ownership and Welfare Deprivation of Women in rural Nigeria: A bi-causal relationship. Journal of Economics, Management and Trade, 23 (1): 1-16. www.journaljemt.com › index.php › JEMT › article › download.
[7]	Massaquoi Y. 2014. Gender Equality, Human Rights and Environmental Integrity in the New Climate Agreement and Post-2015 Development Agenda. Prepared for the 3rd UNITAR-Yale Conference on Environmental Governance and Democracy, 5-7 September 2014, New Haven, USA.
[8]	Goh, A. H. 2012. A literature review of the gender-differentiated impacts of climate change on women’s and men’s assets and well-being in developing countries. CAPRi Working Paper No. 106. Washington, D. C.: International Food Policy Research Institute.
[9]	FAO (Food and Agriculture Organization of the United Nations). 2011. The state of food and agriculture 2010 2011: Women in agriculture: Closing the gender gap for development. Rome: FAO.
[10]	https://www.myguidenigeria.com/regionalinfo/southwest region.
[11]	DHS, 2013. Nigeria Demographic and Health Survey.
[12]	Booysen, F., Van Der Berg, S., Burger, R., Von Maltitz, M. and Du Rand, G. 2008. `Assigning an asset index to Assess trends in poverty in seven Sub-Saharan African countries. World Development 36 (6): 1113-1130.
[13]	Oladokun Y. O. M (2018): Asset Ownership and Welfare Deprivation of Women in Rural Nigeria. Unpublished PhD Thesis. Department of Agricultural Economics. University of Ibadan. xiii, 157pp.
[14]	Doss C. (2013). Intrahousehold bargaining and Allocation in developing countries. The world Bank research Observer 28 (1): 52-78.
[15]	Sackey, H. A. 2005. “Poverty in Ghana from an assets- based perspective: an application of probit technique”, African Development Review, 17.1: 41-69.
[16]	OECD, 2010. “Gender inequality and the MDGs: what are the missing dimensions? OECD, Paris, September. https://www.oecd.org/dev/development-gender/45987065.pdf
[17]	Brandolini, A., Magri, S. and T. M. Smeeding 2010. "Asset Based Measurement of Poverty," Journal of Policy Analysis and Management, 36: 1113–1130.
[18]	Stifel, D. and L. Christiaensen 2007. "Tracking Poverty Over Time in the Absence of Comparable Consumption Data," The World Bank Economic Review, 21: 317–341.
[19]	McKay, A. 2009. “Assets and chronic poverty: Background paper”, Working Paper No. 100, Chronic Poverty Research Centre, Falmer.
[20]	Deere, C. D., Alvarado, G. E. and Twyman, J. 2010. Poverty, Headship, and Gender Inequality in Asset Ownership in Latin America. Gender, Development, and Globalization Program Center for Gender in Global Context Michigan State University. Working paper 296.

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Yetunde Olasimbo Mary Oladokun. (2020). Asset Ownership by Women in Urban and Rural South West Nigeria. Economics, 9(2), 21-26. https://doi.org/10.11648/j.eco.20200902.11

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Yetunde Olasimbo Mary Oladokun. Asset Ownership by Women in Urban and Rural South West Nigeria. Economics. 2020, 9(2), 21-26. doi: 10.11648/j.eco.20200902.11

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Yetunde Olasimbo Mary Oladokun. Asset Ownership by Women in Urban and Rural South West Nigeria. Economics. 2020;9(2):21-26. doi: 10.11648/j.eco.20200902.11

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@article{10.11648/j.eco.20200902.11,
  author = {Yetunde Olasimbo Mary Oladokun},
  title = {Asset Ownership by Women in Urban and Rural South West Nigeria},
  journal = {Economics},
  volume = {9},
  number = {2},
  pages = {21-26},
  doi = {10.11648/j.eco.20200902.11},
  url = {https://doi.org/10.11648/j.eco.20200902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20200902.11},
  abstract = {In improving the welfare of women asset ownership plays a key role. Therefore this paper examined asset ownership by women in urban and rural South West (SW) Nigeria. Secondary data from Demographic and Health Survey 2013 was used. Data on 1551 rural and 4323 urban women in SW Nigeria was used. Information on their socio-economic characteristics and assets (physical and natural) was obtained. Data analysis was done using descriptive statistics, multiple correspondence analysis and probit regression. In rural and urban South West the mean age was 30 years. The mean household size in rural and urban SW was 6 and 5 persons respectively. Mobile telephone has a proportionally far higher weight (0. 043, 0.050) and radio too (0.037, 0.042) than the remaining assets in rural and urban SW. From the probit regression nine variables were found to be statistically significant at various levels in both rural and urban South West. The significant variables in rural SW were age (25-34) (-0.30), age 35-49 (0.51), employed in agric and allied sector (0.17), incomplete secondary school education (-0.14), complete secondary school education (-0.16), higher education (0.84), being a female household head (0.17), marital status-married (0.63). In the urban SW the variables that are significant are age-35-49 (-0.32), skilled and unskilled employment (0.13), employed in agric. and allied sector (-0.50), employed in the services sector (0.10), incomplete secondary education (0.24), complete secondary education (0.28), household sized 6-10 persons (-0.12), >10 persons household size (-0.23). Conceited efforts should therefore be put in place by women agencies to enact policies that will help women to own more assets.},
 year = {2020}
}

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TY  - JOUR
T1  - Asset Ownership by Women in Urban and Rural South West Nigeria
AU  - Yetunde Olasimbo Mary Oladokun
Y1  - 2020/05/29
PY  - 2020
N1  - https://doi.org/10.11648/j.eco.20200902.11
DO  - 10.11648/j.eco.20200902.11
T2  - Economics
JF  - Economics
JO  - Economics
SP  - 21
EP  - 26
PB  - Science Publishing Group
SN  - 2376-6603
UR  - https://doi.org/10.11648/j.eco.20200902.11
AB  - In improving the welfare of women asset ownership plays a key role. Therefore this paper examined asset ownership by women in urban and rural South West (SW) Nigeria. Secondary data from Demographic and Health Survey 2013 was used. Data on 1551 rural and 4323 urban women in SW Nigeria was used. Information on their socio-economic characteristics and assets (physical and natural) was obtained. Data analysis was done using descriptive statistics, multiple correspondence analysis and probit regression. In rural and urban South West the mean age was 30 years. The mean household size in rural and urban SW was 6 and 5 persons respectively. Mobile telephone has a proportionally far higher weight (0. 043, 0.050) and radio too (0.037, 0.042) than the remaining assets in rural and urban SW. From the probit regression nine variables were found to be statistically significant at various levels in both rural and urban South West. The significant variables in rural SW were age (25-34) (-0.30), age 35-49 (0.51), employed in agric and allied sector (0.17), incomplete secondary school education (-0.14), complete secondary school education (-0.16), higher education (0.84), being a female household head (0.17), marital status-married (0.63). In the urban SW the variables that are significant are age-35-49 (-0.32), skilled and unskilled employment (0.13), employed in agric. and allied sector (-0.50), employed in the services sector (0.10), incomplete secondary education (0.24), complete secondary education (0.28), household sized 6-10 persons (-0.12), >10 persons household size (-0.23). Conceited efforts should therefore be put in place by women agencies to enact policies that will help women to own more assets.
VL  - 9
IS  - 2
ER  -

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Author Information

Yetunde Olasimbo Mary Oladokun

Department of Agricultural Economics, University of Ibadan, Ibadan City, Nigeria

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APA Style

Yetunde Olasimbo Mary Oladokun. (2020). Asset Ownership by Women in Urban and Rural South West Nigeria. Economics, 9(2), 21-26. https://doi.org/10.11648/j.eco.20200902.11

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ACS Style

Yetunde Olasimbo Mary Oladokun. Asset Ownership by Women in Urban and Rural South West Nigeria. Economics. 2020, 9(2), 21-26. doi: 10.11648/j.eco.20200902.11

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AMA Style

Yetunde Olasimbo Mary Oladokun. Asset Ownership by Women in Urban and Rural South West Nigeria. Economics. 2020;9(2):21-26. doi: 10.11648/j.eco.20200902.11

Copy | Download

@article{10.11648/j.eco.20200902.11,
  author = {Yetunde Olasimbo Mary Oladokun},
  title = {Asset Ownership by Women in Urban and Rural South West Nigeria},
  journal = {Economics},
  volume = {9},
  number = {2},
  pages = {21-26},
  doi = {10.11648/j.eco.20200902.11},
  url = {https://doi.org/10.11648/j.eco.20200902.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20200902.11},
  abstract = {In improving the welfare of women asset ownership plays a key role. Therefore this paper examined asset ownership by women in urban and rural South West (SW) Nigeria. Secondary data from Demographic and Health Survey 2013 was used. Data on 1551 rural and 4323 urban women in SW Nigeria was used. Information on their socio-economic characteristics and assets (physical and natural) was obtained. Data analysis was done using descriptive statistics, multiple correspondence analysis and probit regression. In rural and urban South West the mean age was 30 years. The mean household size in rural and urban SW was 6 and 5 persons respectively. Mobile telephone has a proportionally far higher weight (0. 043, 0.050) and radio too (0.037, 0.042) than the remaining assets in rural and urban SW. From the probit regression nine variables were found to be statistically significant at various levels in both rural and urban South West. The significant variables in rural SW were age (25-34) (-0.30), age 35-49 (0.51), employed in agric and allied sector (0.17), incomplete secondary school education (-0.14), complete secondary school education (-0.16), higher education (0.84), being a female household head (0.17), marital status-married (0.63). In the urban SW the variables that are significant are age-35-49 (-0.32), skilled and unskilled employment (0.13), employed in agric. and allied sector (-0.50), employed in the services sector (0.10), incomplete secondary education (0.24), complete secondary education (0.28), household sized 6-10 persons (-0.12), >10 persons household size (-0.23). Conceited efforts should therefore be put in place by women agencies to enact policies that will help women to own more assets.},
 year = {2020}
}

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TY  - JOUR
T1  - Asset Ownership by Women in Urban and Rural South West Nigeria
AU  - Yetunde Olasimbo Mary Oladokun
Y1  - 2020/05/29
PY  - 2020
N1  - https://doi.org/10.11648/j.eco.20200902.11
DO  - 10.11648/j.eco.20200902.11
T2  - Economics
JF  - Economics
JO  - Economics
SP  - 21
EP  - 26
PB  - Science Publishing Group
SN  - 2376-6603
UR  - https://doi.org/10.11648/j.eco.20200902.11
AB  - In improving the welfare of women asset ownership plays a key role. Therefore this paper examined asset ownership by women in urban and rural South West (SW) Nigeria. Secondary data from Demographic and Health Survey 2013 was used. Data on 1551 rural and 4323 urban women in SW Nigeria was used. Information on their socio-economic characteristics and assets (physical and natural) was obtained. Data analysis was done using descriptive statistics, multiple correspondence analysis and probit regression. In rural and urban South West the mean age was 30 years. The mean household size in rural and urban SW was 6 and 5 persons respectively. Mobile telephone has a proportionally far higher weight (0. 043, 0.050) and radio too (0.037, 0.042) than the remaining assets in rural and urban SW. From the probit regression nine variables were found to be statistically significant at various levels in both rural and urban South West. The significant variables in rural SW were age (25-34) (-0.30), age 35-49 (0.51), employed in agric and allied sector (0.17), incomplete secondary school education (-0.14), complete secondary school education (-0.16), higher education (0.84), being a female household head (0.17), marital status-married (0.63). In the urban SW the variables that are significant are age-35-49 (-0.32), skilled and unskilled employment (0.13), employed in agric. and allied sector (-0.50), employed in the services sector (0.10), incomplete secondary education (0.24), complete secondary education (0.28), household sized 6-10 persons (-0.12), >10 persons household size (-0.23). Conceited efforts should therefore be put in place by women agencies to enact policies that will help women to own more assets.
VL  - 9
IS  - 2
ER  -

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