Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia

Ermias Ganamo Gazuma; Ayana Anteneh Astatike

doi:doi:10.11648/j.eco.20190802.13

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Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia

Ermias Ganamo Gazuma, Ayana Anteneh Astatike

Published in Economics (Volume 8, Issue 2)

Received: 30 April 2019 Accepted: 2 June 2019 Published: 17 June 2019

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Abstract

The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.

Published in	Economics (Volume 8, Issue 2)
DOI	10.11648/j.eco.20190802.13
Page(s)	55-61
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), 2024. Published by Science Publishing Group

Keywords

Food Insecurity, FGT, Logistic Regression, Wolaita Zone, Ethiopia

References

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[3]	ACAPS (2018). Food Insecurity: Ethiopia, Nigeria, Somalia, SouthSudan, andYemen. acaps Thematic report– February 2018
[4]	UNDP (2018): Ethiopia’s Progress towards Eradicating Poverty. “Implementation of the Third United Nations Decade for the Eradication of Poverty (2018 – 2027)”. Discussion paper
[5]	CSA & ICF (2016). Ethiopia Demographic and Health Survey 2016. Addis Ababa, Ethiopia, and Rockville, Maryland, USA: CSA and ICF.
[6]	WFP. (2013). Climate risk and food security in Ethiopia: Analysis of climate impacts on food security and livelihoods. Discussion Paper on Climate Adaptation, Management and Innovations Initiative in the context of food and nutrition security.
[7]	Alem-meta A. & K. N. Singh (2018): Determinants of food insecurity in the rural farm households in South Wollo Zone of Ethiopia: the case of the Teleyayen subwatershed.
[8]	Zelalem, F. (2014). Determinants of Food Security in the Rural Households of Meskan Woreda, Gurage Zone, SNNPR, Ethiopia. Master Thesis.
[9]	Gazuma, E. G. (2018). An Empirical Examination of the Determinants of Food Insecurity among Rural Farm Households: Evidence from Kindo Didaye District of Southern Ethiopia. Bus Eco J 9: 345. doi: 10.4172/2151-6219.1000345
[10]	Hiwot, Y. (2014). Determinants of Food Security in Rural Farm Households in Ethiopia. Master thesis.
[11]	Amsalu, M., Bekabil, F., & Beyene, T. (2013). Analysis of factors Determining Households Food Security in Pastoral Area of Oromia Region, Moyale District, Ethiopia. International Journal of Agricultural Science, Research and Technology; 2 (3): 105-110.
[12]	Girma, G. (2012). Determinants of Food Insecurity among households in Addis Ababa City, Ethiopia. Interdisciplinary Description of Complex Systems 10 (2), 159-173, 2012. Aksum University.
[13]	Tagel, G. (2012). Food Security Policy: Does it work? Does it help? PHD dissertation, University of Twenty. The Netherlands.
[14]	Mequanent, M., & Fekadu, B. (2010). Determinants of Food Security among Rural Households of Central Ethiopia: An Empirical Analysis. Quarterly Journal of International Agriculture 49 (2010), No. 4: 299-318
[15]	Wolaita Zone (2015). Annual Socio-economic and Demographic Reports. Development Data Collection and Dissemination Core Process, Finance Bureau of Wolaita Zone.
[16]	EHNRI (2000). Food Consumption Table for Use in Ethiopia. Ethiopia Health and Nutrition Research Institute (EHNRI), Part III, Addis Ababa, Ethiopia.
[17]	Foster, J. Greer, & E. Thorbecke (1984). A Class of Decomposable Poverty Measures. Econometrica 52: 761-66.
[18]	Wooldridge, J. M. (2002). Econometric Analysis of Cross Sectional and Panel Data. The MIT Press.
[19]	Gujarati. (2004). Basic Econometrics. 14ed. The McGraw–Hill companies, 2004.
[20]	Jacobs, P. T. (2009). The status of household food security targets in South Africa. Agrekon 2009, 48, 410-433.
[21]	Nagler, P., & Naudé, W. (2013). Non-farm entrepreneurship in rural Africa: Patterns and determinants of income diversification.
[22]	Arene C. J. & Anyaeji J. (2010). Determinants of Food Security among households in Nigeria. Pakistan Journal of Social Sciences, 2010; 30: 9-16.
[23]	Adugna, E. & Wagayehu, B. (2012). Causes of Household Food Insecurity in Wolaita. Full Length Research Paper, Journal of Stored Products and Postharvest Research Vol. 3 (3), pp. 35–48.

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Ermias Ganamo Gazuma, Ayana Anteneh Astatike. (2019). Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics, 8(2), 55-61. https://doi.org/10.11648/j.eco.20190802.13

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Ermias Ganamo Gazuma; Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019, 8(2), 55-61. doi: 10.11648/j.eco.20190802.13

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AMA Style

Ermias Ganamo Gazuma, Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019;8(2):55-61. doi: 10.11648/j.eco.20190802.13

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@article{10.11648/j.eco.20190802.13,
  author = {Ermias Ganamo Gazuma and Ayana Anteneh Astatike},
  title = {Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia},
  journal = {Economics},
  volume = {8},
  number = {2},
  pages = {55-61},
  doi = {10.11648/j.eco.20190802.13},
  url = {https://doi.org/10.11648/j.eco.20190802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20190802.13},
  abstract = {The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.},
 year = {2019}
}

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TY  - JOUR
T1  - Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia
AU  - Ermias Ganamo Gazuma
AU  - Ayana Anteneh Astatike
Y1  - 2019/06/17
PY  - 2019
N1  - https://doi.org/10.11648/j.eco.20190802.13
DO  - 10.11648/j.eco.20190802.13
T2  - Economics
JF  - Economics
JO  - Economics
SP  - 55
EP  - 61
PB  - Science Publishing Group
SN  - 2376-6603
UR  - https://doi.org/10.11648/j.eco.20190802.13
AB  - The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.
VL  - 8
IS  - 2
ER  -

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Author Information

Ermias Ganamo Gazuma

Department of Economics, Wolaita Sodo University, Wolaita Sodo, Ethiopia
Ayana Anteneh Astatike

Department of Economics, Wolaita Sodo University, Wolaita Sodo, Ethiopia

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APA Style

Ermias Ganamo Gazuma, Ayana Anteneh Astatike. (2019). Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics, 8(2), 55-61. https://doi.org/10.11648/j.eco.20190802.13

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ACS Style

Ermias Ganamo Gazuma; Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019, 8(2), 55-61. doi: 10.11648/j.eco.20190802.13

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AMA Style

Ermias Ganamo Gazuma, Ayana Anteneh Astatike. Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia. Economics. 2019;8(2):55-61. doi: 10.11648/j.eco.20190802.13

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@article{10.11648/j.eco.20190802.13,
  author = {Ermias Ganamo Gazuma and Ayana Anteneh Astatike},
  title = {Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia},
  journal = {Economics},
  volume = {8},
  number = {2},
  pages = {55-61},
  doi = {10.11648/j.eco.20190802.13},
  url = {https://doi.org/10.11648/j.eco.20190802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eco.20190802.13},
  abstract = {The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Socioeconomic Determinants of Food Insecurity Among Rural Households in Wolaita Zone, Southern Ethiopia
AU  - Ermias Ganamo Gazuma
AU  - Ayana Anteneh Astatike
Y1  - 2019/06/17
PY  - 2019
N1  - https://doi.org/10.11648/j.eco.20190802.13
DO  - 10.11648/j.eco.20190802.13
T2  - Economics
JF  - Economics
JO  - Economics
SP  - 55
EP  - 61
PB  - Science Publishing Group
SN  - 2376-6603
UR  - https://doi.org/10.11648/j.eco.20190802.13
AB  - The major aim of this study was to assess the socioeconomic determinants of food insecurity among rural households in Wolaita Zone, Southern Ethiopia. Data for the study was obtained from 168 randomly selected rural households by using an interview schedule. To select sample respondents, the multi-stage sampling technique was used. The Foster-Greer-Thorbecke (FGT) index and binary logistic regression model were used for data analysis. The finding from FGT index showed that about 66.1 percent of households in the study area were found food insecure and the remaining 33.9 percent were found food secure. The depth and severity of food insecurity were found 15 percent and 4.6 percent, respectively. The logistic regression model result revealed that factors such as land size, income from productive safety net program, credit access, farm income, and non-farm income are the statistically significant factors influencing the households’ food insecurity status. Accordingly, access to credit positively affects households’ food insecurity status, whereas the other significant variables affect it negatively. Consequently, improving productivity of land through better production methods, increasing farmers’ participation in safety net programs, Promoting income diversification, Revising credit repayment policies and promoting rural off-farm employment opportunities are suggested to improve the state of food insecurity in the study area.
VL  - 8
IS  - 2
ER  -

Copy | Download