Global Journal of Human Social Science, E: Economics, Volume 22 Issue 7

(0.0000)*** (0.0000)*** (0.000)*** (0.0000)*** (0.0000)*** Western 0.1181 (0.065)** 0.3043 (0.072)* 0.1154 (0.072)* 0.5005 (0.070)** 0.1175 (0.068)* _cons 0.3339 (0.148)* -0.4837 (0.469) -0.8246 (0.438) Notes: ***, **, * represent 1%, 5% and 10% significant levels respectively. Log Likelihood = -869.1687, Pseudo R 2 = 0.0593, and Prob > Chi 2 = 0.0000 From the logit model, women who fall within wealth index of richer are 33.26 percent less likely to be empowered and those within the richest index are 59.16 percent less likely to be empowered. Women who reside in rural Copperbelt are 51.30% (probit) and 83.92% (logit) more likely to be empowered than their counterparts in other regions. Those living in rural Southern Zambia are 55.55 percent (probit) and 90.57 percent (logit) more likely to be empowered than the others from the other regions. In the rural North-Western part of Zambia, the logit results showed that women in those areas are 46.13 percent less likely to be empowered. IV. C onclusion and R ecommendations The study was conducted primarily to assess the indicators and dimensions of women empowerment in rural Zambia. Findings from the study showed that majority of women make joint decision on their health and larger purchases with their spouse but this is not the case in the Eastern part of rural Zambia. With the exception of Luapula region, majority of women didn’t justify any form of violence. Moreover, a higher percentage of rural women in Zambia are self-employed. This is a good indicator for women economic empowerment and decision on earning. However, majority of them can’t read all; do not own a house and use charcoal and wood as cooking fuel. As a result of this, the study revealed that workload/time is the highest contributor to women disempowerment, followed by resources. In terms of gender, men contribute a very high percentage to women disempowerment. Furthermore, the results from the probit and logit models revealed that women from Copperbelt, Southern and western rural region of Zambia are more likely to be empowered than their counterparts from other regions. Those residing in rural Northern Western were found be less likely to be empowered. The results showed that whiles marital status increase the probability of being empowered, women’s age and level of education reduces the probability of rural women in Zambia being empowered. From the findings, it is evident that rural women in Zambia are disempowered in terms of workload/time and resources. It is therefore recommended that non- formal education should be organized for the rural women with strict monitoring. Also, stakeholders should ensure that formal education for the young ladies in the rural Zambia is intensified. These interventions should target women who can’t read at all and more specifically those living in North Western and Eastern regions of rural Zambia. Additionally, effort should be made to reduce the domestic household chores of rural women. This can be achieved by organizing sensitization programs for both men and women on the need to support each other on household chores. Similarly, intensive sensitization programs should be conducted for the rural women to educate them on their rights and significance of women empowerment. R eferences R éférences R eferencias 1. Abaidoo A. (2020). The nexus between Education and Poverty Reduction in Ghana from 2013 to 2017. Unpublished term paper, School of Economics, University of Cape Coast. 2. Abney, D., & Laya, A. G., (2018). This is why women must play a greater role in the global economy, World Economic Forum. Retrieved from https:// www.weforum.org/agenda/2018/01/this-is-why-wom en-must-play-a-greater-role-in-the-global-economy/ (accessed 10 July 2020). 3. Alkire, S. & Foster, J. (2007). Counting and Multidimensional Poverty Measurement (OPHI Working Paper Series No. 07). Oxford Department of International Development, University of Oxford. 4. Alkire, S. & Foster, J. (2011). Understanding and Misunderstandings of Multidimensional Poverty Measurement (OPHI Working Paper No. 43). Oxford Department of International Development, University of Oxford. 5. Alkire, S., Malapit, H., Meinzen-Dick, R., Peterman, A., Quisumbing, A., Seymour, G. & Vaz, A. (2013). Instructional Guide onWomen’s Empowerment in Agriculture Index. 6. Asaolu, I. O., Alaofe, H., Genn, J. K. L., Adu, A. K., Monroy, A. J., & Ehiri, J. C. (2018). Measuring Women’s Empowerment in Sub-Saharan Africa: Exploratory and Confirmation Factor Analyses of the Demographic and Health Surveys. Frontier in Psychology , 9:994. doi: 10.3389/fpsyg.2018.00994. 7. Ayevbuomwan, O. S., Popoola, O. A, & Adeoti, A. I. (2016). Analysis of Women Empowerment in Rural Nigeria: A multidimensional Approach. Global Journal of Human-Social Science , 16(1), 35-48. Volume XXII Issue VII Version I 14 ( ) Global Journal of Human Social Science - Year 2022 © 2022 Global Journals E Assessment of the Key Indicators and Dimensions of Women Empowerment in Rural Zambia