Women are the ones that suffer the most from poverty around the world. The determinants of poverty vulnerability among female-headed households in Shashamane district are investigated in this study. In West Arsi Zone, Shashemene district, the study's goals were to assess poverty indicators, poverty levels, and how female-headed households cope with poverty. Mixed methods were employed in this study, with data coming from both primary and secondary sources. A total of 220 people were polled using the simple random sampling approach. A Cost of Basic Needs (CBN) technique was used to establish the total poverty line, and the major data for the study was acquired using structured questioners. The logit regression model and odd ratio analysis were used to analyze the poverty index descriptive statistics. 89 (40.45 percent) of the 220 surveyed household heads were determined to be poor. The results of the logistic regression demonstrate that the household's head's education, age, house ownership, income, and household size are all important factors of the household's susceptibility. Interventions should aim to improve or initiate alternative income generating activities to increase the real income of households through well-paying and better job creation through the establishment of micro and small scale enterprises, and improving the use of family planning with increased economic and social infrastructure to reduce the vulnerability of female headed households. As a result, stakeholder interventions to address the determinant factors are important measures to take, as is strengthening economically and environmentally sustainable coping strategies.
Published in | International Journal of Economy, Energy and Environment (Volume 6, Issue 6) |
DOI | 10.11648/j.ijeee.20210606.13 |
Page(s) | 152-163 |
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. |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Poverty, Logit Model, Female Headed Households, Shashamene District
[1] | Abeya B. (2016), Determinants of urban Poverty: the case of Nedjo town, M. A Thesis, Arba Minch University Master’s Program unpublished. |
[2] | Action Aid (2008). Securing Women’s Right to Land and Livelihoods: A Key t Enduri Hunger and Fighting AIDS, Action Aid International Briefing Paper. |
[3] | Alemayehu et al (2003): Determinants of Poverty in Kenya: A Household Level Analysis. University of Connecticut, Department of Economics, Working Paper 2005-44. |
[4] | Bogale, Ayalneh (2012). Vulnerability of smallholder rural households to food insecurity in Eastern Ethiopia. Food Sec. (2012) 4: 581–591. DOI 10.1007/s12571-012-0208. |
[5] | Chant, S. (2010). ‘Households, Gender and Rural-Urban Migration: Reflections on Linkages and Considerations for Policy. ‘Environment and Urbanization, 10, No. 1, April 2010. |
[6] | Coulombe, H., and McKay, A., (2000), “The Causes ofPoverty, In Poverty, Inequality and Rural Development”), Lioyd, T., and. Morrissey, W., (eds), Macmillan London. |
[7] | CSA, (Central Statistical Authority) (2008) Summary and Statistical Report of the 2007 Population and Housing Census: Population Size by Age and Sex. Addis Ababa. |
[8] | Esubalew (2006). Determinants of Urban poverty: the Case of Debre Marekos, Ethiopian Economics Association Proceeding of the fifth International Conference on the Ethiopian Economy, volume two, P. 37-60. Addis Ababa, Ethiopia. |
[9] | Fafchamps, M. and Quisumbing, A. (2001). „Control and Ownership of Assets within Rural Ethiopian Households. Paper Presented at the International Workshop on Strengthening Development Policy by Looking within the Household: New Evidence on Assets and Outcomes in Rural Ethiopian Households, December 14, 2000. Addis Ababa University, Department of Economics, ILRI. Addis Ababa. |
[10] | FAO. (2005). “Land Tenure and Rural Development”, FAO Land Tenure Studies, No. 3. Farnworth R. C., and Tamene H. (2010). Gender Awareness Approaches in Agriculture Programmes- Ethiopia Country Report. |
[11] | Frank E. (2016) Determinants of Rural Households’ Vulnerability to Poverty in Chencha and Abaya Districts, Southern Ethiopia (Microeconometric Analysis) Department of Economics, College of Business and Economics, Arba Minch University Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol. 7, No. 21, 2016. |
[12] | Foster J. Greer E., Thorbecke, (1984). A Class of Decomposable Poverty Measures: Measurement, Robustness Tests and Decomposition: working paper, center for the study of Africa Economies, University of Oxfored. |
[13] | Gujarati D (2004), Basic Econometrics. Fourth Edition, New York, McGraw-Hill,Inc. |
[14] | Gunnilla, B. (1985) “Migration to Shashemene Ethnicity, Gender and Occupation in Urban Ethiopia”, Doctoral dissertation: Institutes of African Studies Uppsala: Stockholm, 1985. |
[15] | IFAD, (2010). Rural Poverty Report: New Realities, New Challenges; New Opportunities for Tomorrows Generation, Italy, Rome: Printed by Quintile. |
[16] | Lemlem A, et. al. (2010). ‘Opportunities for promoting gender equality in rural Ethiopia. |
[17] | Lovendal, R. C. and M. Knowles (2005), Tomorrow’s Hunger: a Framework for Analyzing Vulnerability to Food Insecurity, FAO-ESA Working Paper No. 05-07. |
[18] | Mesfin, W (2011). Determinants of Households Vulnerability to Food Insecurity in Ethiopia: Econometric analysis of Rural and Urban Households Journal of Economics and Sustainable Development. ISSN 2222-1700, ISSN 2222-2855. Vol. 5, No. 24, 2011. |
[19] | Middlebrook, P. J. (2003).'Fighting Hunger and Poverty in Ethiopia: Ethiopia's Experience in Implementing Employment Generation Schemes (EGS) as part of the National Policy for Disaster Prevention and Management (NPDPM)', Doctoral Thesis, University of Durham. |
[20] | MoA, (Ministry of Agriculture) Ethiopia Animal Health Year Book (2009/10). Addis Ababa: Federal Ministry of Agriculture Animal and Plant Health Regulatory Directorate (APHRD). |
[21] | MOFED, (Ministry of Finance and Economic Development) (2002): Ethiopia: Sustainable Development and Poverty Reduction. Draft. Addis Ababa. |
[22] | Mohamed T (2009). Determinants of Household Poverty: the Case of Woldia town. MA thesis, Ethiopian Civil Service college (unpublished). |
[23] | Mossa E. (2010). Status of Female-Headed Households in Rural Ethiopia: The Case of Libo Kemkem Woreda, Germany: VDM Verlag Dr. Muller GmbH & Co. KG. |
[24] | Quisumbing, A. R. (2009). Consumption smoothing, vulnerability and poverty in rural Bangladesh. Draft paper. Washington, D. C: International Food Policy Research Institute (IFPRI). |
[25] | Shashamane city Administrative (2013). Preliminary Study on the Socioeconomic Status of the Town (unpublished, translated Version). |
[26] | Simon Maxwell and Rachel Slater (1999). Food Policy Old and New Blackwell Publishing, xford OX4 2DQ Development Policy Review, 2003, 21 (5-6): 531-553. |
[27] | Solomon, Soroto. (2008). Repatriation to homeland: Study on settlement and Integrations of Ras Taferianin Shashemene Ethiopia, MA Thesis, Addis Ababa University, P. 2. |
[28] | Stone, P. (2003). ‘Every year is a drought year for me’: are female-headed households in Ethiopia a case of sustained unsustainability?’ Paper presented at the panel on Poverty and Food Security in Amhara Region, Ethiopia, Annual Meetings of the African Studies Association, Boston, MA, 30 Oct.–2 Nov. |
[29] | Suryahadi, A., and Sumarto, S., (2001), “The Chronic Poor, the Transient Poor, and the Vulnerable in Indonesia before and after the Crisis”, SMERU Working Paper, SMERU Research Institute. |
[30] | Temesgen et’al (2015). Econometric Analysis of Rural Households’ Resilience to Food Insecurity in West Shoa, Ethiopia. Journal of Food Security, vol. 4, no. 3, 58-67. doi: 10.12691/jfs-4-3-2. |
APA Style
Fikadu Tulu Doti, Debeli Chala Biyena, Dese Yadeta Edesa. (2021). The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District. International Journal of Economy, Energy and Environment, 6(6), 152-163. https://doi.org/10.11648/j.ijeee.20210606.13
ACS Style
Fikadu Tulu Doti; Debeli Chala Biyena; Dese Yadeta Edesa. The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District. Int. J. Econ. Energy Environ. 2021, 6(6), 152-163. doi: 10.11648/j.ijeee.20210606.13
AMA Style
Fikadu Tulu Doti, Debeli Chala Biyena, Dese Yadeta Edesa. The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District. Int J Econ Energy Environ. 2021;6(6):152-163. doi: 10.11648/j.ijeee.20210606.13
@article{10.11648/j.ijeee.20210606.13, author = {Fikadu Tulu Doti and Debeli Chala Biyena and Dese Yadeta Edesa}, title = {The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District}, journal = {International Journal of Economy, Energy and Environment}, volume = {6}, number = {6}, pages = {152-163}, doi = {10.11648/j.ijeee.20210606.13}, url = {https://doi.org/10.11648/j.ijeee.20210606.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijeee.20210606.13}, abstract = {Women are the ones that suffer the most from poverty around the world. The determinants of poverty vulnerability among female-headed households in Shashamane district are investigated in this study. In West Arsi Zone, Shashemene district, the study's goals were to assess poverty indicators, poverty levels, and how female-headed households cope with poverty. Mixed methods were employed in this study, with data coming from both primary and secondary sources. A total of 220 people were polled using the simple random sampling approach. A Cost of Basic Needs (CBN) technique was used to establish the total poverty line, and the major data for the study was acquired using structured questioners. The logit regression model and odd ratio analysis were used to analyze the poverty index descriptive statistics. 89 (40.45 percent) of the 220 surveyed household heads were determined to be poor. The results of the logistic regression demonstrate that the household's head's education, age, house ownership, income, and household size are all important factors of the household's susceptibility. Interventions should aim to improve or initiate alternative income generating activities to increase the real income of households through well-paying and better job creation through the establishment of micro and small scale enterprises, and improving the use of family planning with increased economic and social infrastructure to reduce the vulnerability of female headed households. As a result, stakeholder interventions to address the determinant factors are important measures to take, as is strengthening economically and environmentally sustainable coping strategies.}, year = {2021} }
TY - JOUR T1 - The Determinants of Vulnerability to Poverty Among Female Headed Households in Rural Ethiopia: The Case of West Arsi Zone, Shashemene District AU - Fikadu Tulu Doti AU - Debeli Chala Biyena AU - Dese Yadeta Edesa Y1 - 2021/12/24 PY - 2021 N1 - https://doi.org/10.11648/j.ijeee.20210606.13 DO - 10.11648/j.ijeee.20210606.13 T2 - International Journal of Economy, Energy and Environment JF - International Journal of Economy, Energy and Environment JO - International Journal of Economy, Energy and Environment SP - 152 EP - 163 PB - Science Publishing Group SN - 2575-5021 UR - https://doi.org/10.11648/j.ijeee.20210606.13 AB - Women are the ones that suffer the most from poverty around the world. The determinants of poverty vulnerability among female-headed households in Shashamane district are investigated in this study. In West Arsi Zone, Shashemene district, the study's goals were to assess poverty indicators, poverty levels, and how female-headed households cope with poverty. Mixed methods were employed in this study, with data coming from both primary and secondary sources. A total of 220 people were polled using the simple random sampling approach. A Cost of Basic Needs (CBN) technique was used to establish the total poverty line, and the major data for the study was acquired using structured questioners. The logit regression model and odd ratio analysis were used to analyze the poverty index descriptive statistics. 89 (40.45 percent) of the 220 surveyed household heads were determined to be poor. The results of the logistic regression demonstrate that the household's head's education, age, house ownership, income, and household size are all important factors of the household's susceptibility. Interventions should aim to improve or initiate alternative income generating activities to increase the real income of households through well-paying and better job creation through the establishment of micro and small scale enterprises, and improving the use of family planning with increased economic and social infrastructure to reduce the vulnerability of female headed households. As a result, stakeholder interventions to address the determinant factors are important measures to take, as is strengthening economically and environmentally sustainable coping strategies. VL - 6 IS - 6 ER -