Due to sever land scarcity, high population pressure and recurrent drought, farm households in the study area widely engage in and pursue diverse activities as livelihood strategies. The carrying capacity of agriculture to attain food and livelihood security is extremely declining from time to time. Diversifying livelihood strategies at current time become a common phenomenon in the study area. The major objectives of this study are, therefore, to identify the existing livelihood strategies adopted by rural households and to assess factors that determine households’ decision to choose alternative livelihood strategies. For the purpose of this study primary data were collected from randomly selected 300 households in four woredas (districts) of the zone. Descriptive statistics was applied to characterize the sample households’ social, economic, demographic and institutional factors. The finding of the survey result indicates that rural households in the study area practice diversified livelihood strategies, in that large part of the respondents (57.7%) combine agriculture with other activities (non/off-farm). Surprisingly, some farmers were pursuing non-farm and off-farm activities as the primary livelihood strategies rather than agriculture. Multinomial logit model applied to investigate factors influencing the households’ choice of livelihood strategies. In this regard, a total of 19 explanatory variables were included in the empirical model of which 11 were significant. These variables include agro-ecology, sex, education, farm size, livestock ownership, participation in social leadership, annual cash income, fertilizer use, improved seed use, age, and training which were determining farmers’ choice of livelihood strategies. The results of this study suggest that development interventions, policies and supportive services should be designed to suit the felt needs and circumstances of different groups of farmers.
Published in | Social Sciences (Volume 3, Issue 3) |
DOI | 10.11648/j.ss.20140303.15 |
Page(s) | 92-104 |
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), 2014. Published by Science Publishing Group |
Livelihood Strategies, Rural Households, Ethiopia, Multinomial Logit Model
[1] | MoA, 2010. Ethiopia Animal Health Year Book. Addis Ababa: Federal Ministry of Agriculture Animal and Plant Health Regulatory Directorate (APHRD). |
[2] | UNDP, 2011. Human development report. Sustainability and Equity: a better future for all. |
[3] | BTI, Bertelsmann Stiftung. 2012. Ethiopia Country Report. Gütersloh: Bertelsmann Stiftung. |
[4] | EEA, 2008. Report on the Ethiopian Economy, No. Volume VI 2006/07. Addis Ababa. Ethiopian Economic Association. |
[5] | FDRE, 2010. Ethiopia’s agricultural sector policy and investment framework 2010-2020. Federal Democratic Republic of Ethiopia, Ministry of Agriculture and Rural Development. Draft final report, 15 September 2010 |
[6] | FAO, 2012. World Food and Agriculture. Statistical Year Book. Rome, 2012 |
[7] | FAO (Food and Agricultural Organization of the United Nations), 2010. The state of food insecurity in the world, Rome, 2010. |
[8] | Stifel, D. 2010. The Rural Non-farm Economy, Livelihood Strategies and Household Welfare African Journal of Agricultural and Resource Economics, 4(1). |
[9] | Reardon, T. 1997. Using evidence of household income diversification to inform the study of rural non-agricultural labor market in Africa, World Development, 25 (5):735-748. |
[10] | Barrett, C. B., Reardon, T. and Webb, P. 2001. Non-farm income diversification and household livelihood strategies in Rural Africa: Concepts, Dynamics, and Policy Implications” Food Policy, 26 (4): 315 – 31. |
[11] | Haggblade, S., Hazell, P. and Reardon, T., 2005. ‘The Rural Nonfarm Economy: Pathway out of Poverty or Pathway http://www.ifpri.org/events/seminars/2005/smallfarms/sfproc/S04_haggblade.pdf |
[12] | World Bank, 2009. Diversifying the rural economy: An assessment of the investment climate for small and informal enterprises in Ethiopia,” October 6, 2009. |
[13] | Bush, J. 2002. Baseline household food economy assessment: Boloso Sore Woreda, Wolayita zone, Christinan Aid, Addis Ababa, Ethiopia |
[14] | WZFEDD, 2012. Wolaita Zone Socio-Economic information. Wolaita Zone Finance and Economic Development Department, May 2012. |
[15] | Dessalegn Rahmato, 2007. Development Intervention in Wollaita, 1960s-2000s: A Critical Review. FSS Monograph No. 4. Forum for Social Studies, Addis Ababa. |
[16] | CSA, 2010. Population and housing census of Ethiopia, A.A. http://www.csa.org. July 2010 |
[17] | Greene, W. 2000. Econometric analysis. Englewood Cliffs, NJ: Prentice Hall. |
[18] | Chilot Yirga, 2007. The daynamics of soil degradation and incentives for optimal management in Central Highlands of Ethiopia. PhD. Dissertation, University of Pretoria. |
[19] | Keane, M.P. 1992. A Note on Identification in the Multinomial Probit Model. Journal of Business and Economic Statistics, Vol. 10, pp. 193-200. |
[20] | Chan, Y. H .2005. Basic statistics for doctors, multinomial logistic regression, Singapore |
[21] | Ghosh, J. and Bharadwaj, K., 1992, ‘Poverty and Employment in India’, in H. Bernstein, B. Crow and H. Johnson (eds) Rural Livelihoods: Crises and Responses, Oxford: Oxford University Press and The Open University. |
[22] | Berry, S., 1989a, Coping with Confusion: African Farmers’ Responses to Economic Instability in the 1970s and 1980s, Boston: African Studies Centre, Boston University. |
[23] | Bob Rijkers, 200. Rural non-farm enterprises in Ethiopia: challenges and prospects understanding the constraints to continued rapid growth in Ethiopia: the role of agriculture Africa Region, World bank, November 2008. |
[24] | Ellis, F. 2004. Occupational diversification in developing countries and implications for agricultural policy. December 2004, Hot Topic Paper. |
[25] | Adugna Eneyew Bekele, 2008. Livelihood strategies and food security in Wolaita, Southern Ethiopia: The case of Boloso Sore District. M.Sc.Thesis, October, 2008. Haramaya University |
[26] | Dilruba Khatun and B.C. Roy, 2012. Rural livelihood diversification in West Bengal: Determinants and Constraints. Agricultural Economics Research Review Vol. 25(No.1) January-June 2012 pp 115-124 |
[27] | Dercon, S. and Krishnan, P. 1996. Income portfolios in rural Ethiopia and Tanzania: choices and constraints’, Journal of Development Studies, 32(6): 850-875. |
[28] | Tesfaye Lemma, 2003. Livelihood strategies in the context of population pressure: A Case study in the Hararghe Highlands, Eastern Ethiopia. PhD Dissertation. University of Pretoria, South Africa. |
[29] | Mujib Urrehman, Jehanzeb and Mubina F. Rana, 2008. Five livelihood Strategies of different categories of households in rural areas of Abbottabad, Pakistan. Sarhad J. Agric. Vol.24, No.4, 2008 |
[30] | Babatunde, R.O.; Olagunju, F.I.; Fakayode, S.B. and Adejobi, A.O. 2010. Determinants of participation in off-farm employment among small-holder farming households in Kwara State, Nigeria. |
[31] | Gebrehiwot Weldegebrial Gebru1 and Fekadu Beyene, 2012. Rural household livelihood strategies in drought-prone areas: A case of Gulomekeda District, eastern zone of Tigray, Ethiopia. Journal of Development and Agricultural Economics Vol. 4(6), pp.158-168, 26 |
[32] | Isaac, B. 2009. Poverty and income diversification among households in rural Nigeria: A Gender Analysis of Livelihood Patterns. Oluwatayo Conference Paper No 41. |
[33] | Woinishet Asnake Sisay, 2010, Participation into off-farm activities in rural Ethiopia: who earns more? The Hague, The Netherlands November, 2010 |
[34] | Emmanuel Ekow Asmah, (n.d). Rural livelihood diversification and agricultural sector reforms in Ghana. Research Fellow, Brookings (Africa Growth Initiative). EAsmah@brookings.edu |
APA Style
Yishak Gecho, Gezahegn Ayele, Tesfaye Lemma, Dawit Alemu. (2014). Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone, Southern Ethiopia. Social Sciences, 3(3), 92-104. https://doi.org/10.11648/j.ss.20140303.15
ACS Style
Yishak Gecho; Gezahegn Ayele; Tesfaye Lemma; Dawit Alemu. Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone, Southern Ethiopia. Soc. Sci. 2014, 3(3), 92-104. doi: 10.11648/j.ss.20140303.15
AMA Style
Yishak Gecho, Gezahegn Ayele, Tesfaye Lemma, Dawit Alemu. Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone, Southern Ethiopia. Soc Sci. 2014;3(3):92-104. doi: 10.11648/j.ss.20140303.15
@article{10.11648/j.ss.20140303.15, author = {Yishak Gecho and Gezahegn Ayele and Tesfaye Lemma and Dawit Alemu}, title = {Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone, Southern Ethiopia}, journal = {Social Sciences}, volume = {3}, number = {3}, pages = {92-104}, doi = {10.11648/j.ss.20140303.15}, url = {https://doi.org/10.11648/j.ss.20140303.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ss.20140303.15}, abstract = {Due to sever land scarcity, high population pressure and recurrent drought, farm households in the study area widely engage in and pursue diverse activities as livelihood strategies. The carrying capacity of agriculture to attain food and livelihood security is extremely declining from time to time. Diversifying livelihood strategies at current time become a common phenomenon in the study area. The major objectives of this study are, therefore, to identify the existing livelihood strategies adopted by rural households and to assess factors that determine households’ decision to choose alternative livelihood strategies. For the purpose of this study primary data were collected from randomly selected 300 households in four woredas (districts) of the zone. Descriptive statistics was applied to characterize the sample households’ social, economic, demographic and institutional factors. The finding of the survey result indicates that rural households in the study area practice diversified livelihood strategies, in that large part of the respondents (57.7%) combine agriculture with other activities (non/off-farm). Surprisingly, some farmers were pursuing non-farm and off-farm activities as the primary livelihood strategies rather than agriculture. Multinomial logit model applied to investigate factors influencing the households’ choice of livelihood strategies. In this regard, a total of 19 explanatory variables were included in the empirical model of which 11 were significant. These variables include agro-ecology, sex, education, farm size, livestock ownership, participation in social leadership, annual cash income, fertilizer use, improved seed use, age, and training which were determining farmers’ choice of livelihood strategies. The results of this study suggest that development interventions, policies and supportive services should be designed to suit the felt needs and circumstances of different groups of farmers.}, year = {2014} }
TY - JOUR T1 - Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone, Southern Ethiopia AU - Yishak Gecho AU - Gezahegn Ayele AU - Tesfaye Lemma AU - Dawit Alemu Y1 - 2014/06/30 PY - 2014 N1 - https://doi.org/10.11648/j.ss.20140303.15 DO - 10.11648/j.ss.20140303.15 T2 - Social Sciences JF - Social Sciences JO - Social Sciences SP - 92 EP - 104 PB - Science Publishing Group SN - 2326-988X UR - https://doi.org/10.11648/j.ss.20140303.15 AB - Due to sever land scarcity, high population pressure and recurrent drought, farm households in the study area widely engage in and pursue diverse activities as livelihood strategies. The carrying capacity of agriculture to attain food and livelihood security is extremely declining from time to time. Diversifying livelihood strategies at current time become a common phenomenon in the study area. The major objectives of this study are, therefore, to identify the existing livelihood strategies adopted by rural households and to assess factors that determine households’ decision to choose alternative livelihood strategies. For the purpose of this study primary data were collected from randomly selected 300 households in four woredas (districts) of the zone. Descriptive statistics was applied to characterize the sample households’ social, economic, demographic and institutional factors. The finding of the survey result indicates that rural households in the study area practice diversified livelihood strategies, in that large part of the respondents (57.7%) combine agriculture with other activities (non/off-farm). Surprisingly, some farmers were pursuing non-farm and off-farm activities as the primary livelihood strategies rather than agriculture. Multinomial logit model applied to investigate factors influencing the households’ choice of livelihood strategies. In this regard, a total of 19 explanatory variables were included in the empirical model of which 11 were significant. These variables include agro-ecology, sex, education, farm size, livestock ownership, participation in social leadership, annual cash income, fertilizer use, improved seed use, age, and training which were determining farmers’ choice of livelihood strategies. The results of this study suggest that development interventions, policies and supportive services should be designed to suit the felt needs and circumstances of different groups of farmers. VL - 3 IS - 3 ER -