Agricultural sector remains the main source of food and income for most rural communities in Ethiopia. Being dependent mainly on rainfall, this sector has been affected by climate change. Employing adaptation strategies to climate change within the agricultural sector is vital to ensure food security and to care for the livelihoods of farmers. This study has analyzed factors influencing the impact of climate change on food security and vulnerability of farm households to climate change in eastern Ethiopia. The study used data obtained from 330 households randomly and proportionately sampled from two agroecologies in East Hararghe Zone of Oromiya Region and Dire Dawa Administration, Ethiopia. The study used univariate probit models to identify factors affecting food security and vulnerability to climate change. Calorie intake per adult equivalent per day was employed as a food security indicator. The results indicated that the vulnerability of households to food insecurity due to climate change is likely to increase to 63% from its base year level of 55% suggesting that about 63% of the households are likely to fall into food insecurity in the near future. Food security status was determined by education of the household head, social participation, training to climate change, farming experience, family size, and fertilizer usage. The positive impact of climate change training sends a good signal to justify its intensification. The study also indicated the need to look into policies related to household food security enhancement and to minimizing vulnerability to climate change.
| Published in | Economics (Volume 5, Issue 6) |
| DOI | 10.11648/j.eco.20160506.11 |
| Page(s) | 81-88 |
| 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), 2016. Published by Science Publishing Group |
Food Security, Vulnerability, Climate Change, Agroecology, Univariate Probit Model
| [1] | Assefa Admassie, Berhanu Adenew and Abebe Tadege. (2011). Perception of stakeholders on climate change and adaptation strategies in Ethiopia. Research brief Series Number 15: IFPRI. |
| [2] | Cameron, C., and P. Trivedi. (2009). Micro econometrics using stata. College Station: Stata Press. |
| [3] | Carter, T. R., R. N., Lu, X. Jones, S. Bhadwal, C. Conde, L. O. Mearns, B. C. O’Neill, M. D. A. Rounsevell, and M. B. Zurek. (2007). New assessment methods and the characterization of future conditions. In M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden and C. E. |
| [4] | Chaudhuri, S., J. Jalan, and A. Suryahadi.(2002). Assessing household vulnerability to poverty: a methodology and estimates for Indonesia. Department of economics discussion Paper No. 0102-52. New York: Columbia University. |
| [5] | CSA. (2011). Analytical report on the 2011 urban employment unemployment survey. Analytical Bulletin, Addis Ababa, Ethiopia |
| [6] | CSA. (2012). The Federal Democratic Republic of Ethiopia statistical abstract. Addis Ababa, Ethiopia. |
| [7] | FAO. (2007). Climate change and food security: a framework for action. FAO Interdepartmental working group on climate change. Rome. |
| [8] | FDRE. (2014). Ethiopia’s Progress towards Eradicating Poverty: An Interim Report on Poverty Analysis Study (2012/13). Addis Ababa, Ethiopia. |
| [9] | Foster, J., J. Greere, and E. Thorbecke. (1984). A class of decomposable poverty measures. Econometrical, 52 (3): 761-766. |
| [10] | Greene, W. (2012). Econometric Analysis 7thed. New Jersey: Pearson Hall, USA. |
| [11] | Hoddinott, J.(2001). Method for Rural Development projects: FoodSecurity in practice, IFPRI, Washington D. C., 1: 80-100. |
| [12] | Horrel, S. and P. Krishnan. (2006). Poverty and Productivity in Female-Headed Householdsin Zimbabwe. Faculty of Economics, University of Cambridge, Cambridge CB3 9DD. |
| [13] | IPCC. (2007). Climate change, 2007. Impacts, adaptation and vulnerability. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge UK. |
| [14] | Kifle Lemma and Yosef Gebrehiwot. (1999). The food security situation in Ethiopia. Concepts, status and Trends. In: Taye Assefa (ed): Food security through sustainable land use. Proceeding of the first National workshop of NOVIN partners. Forum on sustainable land use. NOVIN, Addis Ababa. |
| [15] | Long JS. (1997). Regression Models for Categorical and Limited Dependent Variables (RMCLDV). Thousand Oaks, CA: Sage Press. |
| [16] | Maddalla GS. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University press. |
| [17] | Maddison, D. (2014). The perception of an adaptation to climate change in Africa. CEEPA. Discussion Paper No. 10. Center for environmental economics and policy in Africa. Pretoria: University of Pretoria. |
| [18] | MoFED. (2014). Growth and Transformation Plan (available at http://www.ethiopians.com/Ethiopia_GTP_2015). |
| [19] | National Adaptation Program of Action. (2011). Climate change: Uganda National adaptation program of action ministry of tourism. Environmental and Natural Resource. |
| [20] | Nhemachena C and R Hassan. (2007). Micro-Level Analysis of Farmers’ Adaptation to Climate Change in Southern Africa. IFPRI Discussion Paper No. 00714. International Food Policy Research Institute. Washington DC. |
| [21] | Productive Safety Net Programme. (2015). Shocks and social protection in the Horn of Africa: Analysis from the PSNP in Ethiopia. |
| [22] | Schipper, E. L. F. and M. Pelling. (2006). Disaster risk, climate change, and international development: scope for, and challenges to, integration. Disasters, 30(7): 19-38. |
| [23] | Von Braun, J., H. Bouis, S. Kumar and R. Pandya-Lorch. (1992). Improving Food Security of the Poor: Concept, Policy, and Programs. International Food Policy Research Institute. Washington, D. C. |
APA Style
Adugna Tafesse, Gazahgne Ayele, Mengistu Ketema, Endrias Geta. (2016). Food Security and Vulnerability to Climate Change in Eastern Ethiopia. Economics, 5(6), 81-88. https://doi.org/10.11648/j.eco.20160506.11
ACS Style
Adugna Tafesse; Gazahgne Ayele; Mengistu Ketema; Endrias Geta. Food Security and Vulnerability to Climate Change in Eastern Ethiopia. Economics. 2016, 5(6), 81-88. doi: 10.11648/j.eco.20160506.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.eco.20160506.11,
author = {Adugna Tafesse and Gazahgne Ayele and Mengistu Ketema and Endrias Geta},
title = {Food Security and Vulnerability to Climate Change in Eastern Ethiopia},
journal = {Economics},
volume = {5},
number = {6},
pages = {81-88},
doi = {10.11648/j.eco.20160506.11},
url = {https://doi.org/10.11648/j.eco.20160506.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20160506.11},
abstract = {Agricultural sector remains the main source of food and income for most rural communities in Ethiopia. Being dependent mainly on rainfall, this sector has been affected by climate change. Employing adaptation strategies to climate change within the agricultural sector is vital to ensure food security and to care for the livelihoods of farmers. This study has analyzed factors influencing the impact of climate change on food security and vulnerability of farm households to climate change in eastern Ethiopia. The study used data obtained from 330 households randomly and proportionately sampled from two agroecologies in East Hararghe Zone of Oromiya Region and Dire Dawa Administration, Ethiopia. The study used univariate probit models to identify factors affecting food security and vulnerability to climate change. Calorie intake per adult equivalent per day was employed as a food security indicator. The results indicated that the vulnerability of households to food insecurity due to climate change is likely to increase to 63% from its base year level of 55% suggesting that about 63% of the households are likely to fall into food insecurity in the near future. Food security status was determined by education of the household head, social participation, training to climate change, farming experience, family size, and fertilizer usage. The positive impact of climate change training sends a good signal to justify its intensification. The study also indicated the need to look into policies related to household food security enhancement and to minimizing vulnerability to climate change.},
year = {2016}
}
TY - JOUR T1 - Food Security and Vulnerability to Climate Change in Eastern Ethiopia AU - Adugna Tafesse AU - Gazahgne Ayele AU - Mengistu Ketema AU - Endrias Geta Y1 - 2016/12/23 PY - 2016 N1 - https://doi.org/10.11648/j.eco.20160506.11 DO - 10.11648/j.eco.20160506.11 T2 - Economics JF - Economics JO - Economics SP - 81 EP - 88 PB - Science Publishing Group SN - 2376-6603 UR - https://doi.org/10.11648/j.eco.20160506.11 AB - Agricultural sector remains the main source of food and income for most rural communities in Ethiopia. Being dependent mainly on rainfall, this sector has been affected by climate change. Employing adaptation strategies to climate change within the agricultural sector is vital to ensure food security and to care for the livelihoods of farmers. This study has analyzed factors influencing the impact of climate change on food security and vulnerability of farm households to climate change in eastern Ethiopia. The study used data obtained from 330 households randomly and proportionately sampled from two agroecologies in East Hararghe Zone of Oromiya Region and Dire Dawa Administration, Ethiopia. The study used univariate probit models to identify factors affecting food security and vulnerability to climate change. Calorie intake per adult equivalent per day was employed as a food security indicator. The results indicated that the vulnerability of households to food insecurity due to climate change is likely to increase to 63% from its base year level of 55% suggesting that about 63% of the households are likely to fall into food insecurity in the near future. Food security status was determined by education of the household head, social participation, training to climate change, farming experience, family size, and fertilizer usage. The positive impact of climate change training sends a good signal to justify its intensification. The study also indicated the need to look into policies related to household food security enhancement and to minimizing vulnerability to climate change. VL - 5 IS - 6 ER -
Email: