Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia

Ayele Admasu

doi:doi:10.11648/j.ajtas.20190802.13

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Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia

Ayele Admasu

Published in American Journal of Theoretical and Applied Statistics (Volume 8, Issue 2)

Received: 27 April 2019 Accepted: 2 June 2019 Published: 13 June 2019

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Abstract

The main objective of this study was to assess household food security status and its major determinants in the rural households of Mojaena Wodera Woreda, Ethiopia. A systematic random sampling method was employed to select the sample from study area. The study period was from September 2017 to September 2018. The recommended daily calorie requirement was used to determine the household food security status. To analyze the data descriptive statistics, bivariate analysis and both Classical logistic regression and Bayesian logistic regression analyses were used. The descriptive analysis of the study revealed that only 37.6% of the sample households were food secured and 62.4% of households were food insecured which was felt short of the 2100kcal per day per person that was national recommended calorie requirements. Based on Hosmer and Lemeshow test the chi-square value and significance value shows that Classical logistic model is quite a good fit. In addition to this, the classification results revealed that 81.3% of the households were correctly predicted Using both Classical and Bayesian logistic regression analysis, eight out of twenty-one predictor variables were selected as major determinants of household food security status. These significant variables were age, marital status, farm land size, land fertility, annual yield, improved seed use, having oxen and family size of household head. Government and the woreda agricultural office should provide cultivable and more fertile farm land, improved seed and support oxen to the farming households at affordable prices to be able to increase farmland size and total annual yield or food production.

Published in	American Journal of Theoretical and Applied Statistics (Volume 8, Issue 2)
DOI	10.11648/j.ajtas.20190802.13
Page(s)	67-76
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), 2019. Published by Science Publishing Group

Keywords

Household, Food Security Status, Classical Logistic Regression, Bayesian Logistic Regression

References

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[4]	FAO (2010): Food and Agricultural Organization. The State of Food Insecurity: in the world. Rome, Italy.
[5]	Mitiku, A., Fufa, B., and tadesse, B., 2013. Emperical analysis of the determinant of rural Household’s food security in southern Ethiopia. The case of shasheme district. Journal of agriculture science and review vol. 1, no. 6 pp. 132-138.
[6]	FAO, 2009. Grassland Index. A searchable catalogue of grass and forage legumes. FAO, Rome, Italy.
[7]	DFID, 2011. Department for International Development of Annual Report and Accounts 2010–11. http://www.dfid.gov.uk/Media-Room/Publications.
[8]	DO Gilligan Hoddinott A S and Taffesse“An Analysis of Ethiopia’s Productive Safety Net Program and Its Linkages, International Food Policy Research Institute, Washington, D.C, 2008.
[9]	Fasil G. (2005). Enough with Famine in Ethiopia, Commercial printing enterprise, Addis Ababa.
[10]	FDRE FSS (1996): Federal Democratic Republic of Ethiopia. Food Security Strategy, Addis Ababa, Ethiopia.
[11]	Moroda, G.T., Tolossa, D. & Semie, N. Agriculture & Food Security (2018) 7: 65. https://doi.org/10.1186/s40066-018-0217-x.
[12]	Israel GD. Determining sample size. Institute of Food and Agricultural Sciences (IFAS), University of Florida; 2013.
[13]	Haile, K. 2005. Causes of Household Food Insecurity in Koredegaga Peasant Association, Oromyia Zone, Ethiopia. Working Paper. University of the Free State, South Africa.
[14]	Shiferaw, F., Kilmer, R., and Gladwin, C. (2003): Determinants of Food Security in Southern Ethiopia, Food Resource and Economics Department - a selected paper Presented at the 2003 American Agricultural Economics Association Meeting in Montreal, Canada.
[15]	Wiley J. (2009). “An Introduction to Categorical Data Analysis” in New York.
[16]	Gelman, A., Carlin, (2005). Bayesian Data Analysis, Second edition. London: CRC Pres.
[17]	Paddy, 2003. Factors That Influence Food Security in Rural Households of Mount Elgon Sub County, Kenya.
[18]	Rana E. Toseef A. and Mohammad U. Toseef (2009) Determinants of food security in rural areas of Pakistan, Department of Economics, The Islamia University of Bahawalpur. Pakistan.
[19]	Ethiopian socio-economic survey of 2011/12 and 2013/14 data, collected by CSA of Ethiopia in collaboration with the World Bank.
[20]	Alem-meta A. (2018). Determinants of food insecurity in the rural farm households in South Wollo Zone of Ethiopia: the case of the Teleyayen sub-watershed, Agricultural and Food Economics. https://doi.org/10.1186/s40100-018-0106-4.
[21]	Meles T, Meseret, Miruts M (2016) Assessment of food security status and factors influencing food security in Hawi Guddina district, Ethiopia. Int Sch J 3 (3): 167–173.

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Ayele Admasu. (2019). Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. American Journal of Theoretical and Applied Statistics, 8(2), 67-76. https://doi.org/10.11648/j.ajtas.20190802.13

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Ayele Admasu. Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. Am. J. Theor. Appl. Stat. 2019, 8(2), 67-76. doi: 10.11648/j.ajtas.20190802.13

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AMA Style

Ayele Admasu. Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. Am J Theor Appl Stat. 2019;8(2):67-76. doi: 10.11648/j.ajtas.20190802.13

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@article{10.11648/j.ajtas.20190802.13,
  author = {Ayele Admasu},
  title = {Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {8},
  number = {2},
  pages = {67-76},
  doi = {10.11648/j.ajtas.20190802.13},
  url = {https://doi.org/10.11648/j.ajtas.20190802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20190802.13},
  abstract = {The main objective of this study was to assess household food security status and its major determinants in the rural households of Mojaena Wodera Woreda, Ethiopia. A systematic random sampling method was employed to select the sample from study area. The study period was from September 2017 to September 2018. The recommended daily calorie requirement was used to determine the household food security status. To analyze the data descriptive statistics, bivariate analysis and both Classical logistic regression and Bayesian logistic regression analyses were used. The descriptive analysis of the study revealed that only 37.6% of the sample households were food secured and 62.4% of households were food insecured which was felt short of the 2100kcal per day per person that was national recommended calorie requirements. Based on Hosmer and Lemeshow test the chi-square value and significance value shows that Classical logistic model is quite a good fit. In addition to this, the classification results revealed that 81.3% of the households were correctly predicted Using both Classical and Bayesian logistic regression analysis, eight out of twenty-one predictor variables were selected as major determinants of household food security status. These significant variables were age, marital status, farm land size, land fertility, annual yield, improved seed use, having oxen and family size of household head. Government and the woreda agricultural office should provide cultivable and more fertile farm land, improved seed and support oxen to the farming households at affordable prices to be able to increase farmland size and total annual yield or food production.},
 year = {2019}
}

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TY  - JOUR
T1  - Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia
AU  - Ayele Admasu
Y1  - 2019/06/13
PY  - 2019
N1  - https://doi.org/10.11648/j.ajtas.20190802.13
DO  - 10.11648/j.ajtas.20190802.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 67
EP  - 76
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20190802.13
AB  - The main objective of this study was to assess household food security status and its major determinants in the rural households of Mojaena Wodera Woreda, Ethiopia. A systematic random sampling method was employed to select the sample from study area. The study period was from September 2017 to September 2018. The recommended daily calorie requirement was used to determine the household food security status. To analyze the data descriptive statistics, bivariate analysis and both Classical logistic regression and Bayesian logistic regression analyses were used. The descriptive analysis of the study revealed that only 37.6% of the sample households were food secured and 62.4% of households were food insecured which was felt short of the 2100kcal per day per person that was national recommended calorie requirements. Based on Hosmer and Lemeshow test the chi-square value and significance value shows that Classical logistic model is quite a good fit. In addition to this, the classification results revealed that 81.3% of the households were correctly predicted Using both Classical and Bayesian logistic regression analysis, eight out of twenty-one predictor variables were selected as major determinants of household food security status. These significant variables were age, marital status, farm land size, land fertility, annual yield, improved seed use, having oxen and family size of household head. Government and the woreda agricultural office should provide cultivable and more fertile farm land, improved seed and support oxen to the farming households at affordable prices to be able to increase farmland size and total annual yield or food production.
VL  - 8
IS  - 2
ER  -

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Ayele Admasu

Department of Statistics, Debre Berhan University, Debre Berhan, Ethiopia

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Plain Text BibTeX RIS

APA Style

Ayele Admasu. (2019). Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. American Journal of Theoretical and Applied Statistics, 8(2), 67-76. https://doi.org/10.11648/j.ajtas.20190802.13

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ACS Style

Ayele Admasu. Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. Am. J. Theor. Appl. Stat. 2019, 8(2), 67-76. doi: 10.11648/j.ajtas.20190802.13

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AMA Style

Ayele Admasu. Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia. Am J Theor Appl Stat. 2019;8(2):67-76. doi: 10.11648/j.ajtas.20190802.13

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@article{10.11648/j.ajtas.20190802.13,
  author = {Ayele Admasu},
  title = {Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {8},
  number = {2},
  pages = {67-76},
  doi = {10.11648/j.ajtas.20190802.13},
  url = {https://doi.org/10.11648/j.ajtas.20190802.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20190802.13},
  abstract = {The main objective of this study was to assess household food security status and its major determinants in the rural households of Mojaena Wodera Woreda, Ethiopia. A systematic random sampling method was employed to select the sample from study area. The study period was from September 2017 to September 2018. The recommended daily calorie requirement was used to determine the household food security status. To analyze the data descriptive statistics, bivariate analysis and both Classical logistic regression and Bayesian logistic regression analyses were used. The descriptive analysis of the study revealed that only 37.6% of the sample households were food secured and 62.4% of households were food insecured which was felt short of the 2100kcal per day per person that was national recommended calorie requirements. Based on Hosmer and Lemeshow test the chi-square value and significance value shows that Classical logistic model is quite a good fit. In addition to this, the classification results revealed that 81.3% of the households were correctly predicted Using both Classical and Bayesian logistic regression analysis, eight out of twenty-one predictor variables were selected as major determinants of household food security status. These significant variables were age, marital status, farm land size, land fertility, annual yield, improved seed use, having oxen and family size of household head. Government and the woreda agricultural office should provide cultivable and more fertile farm land, improved seed and support oxen to the farming households at affordable prices to be able to increase farmland size and total annual yield or food production.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Determinants of Food Security status in Rural Households in Mojaena Wodera Woreda, Ethiopia
AU  - Ayele Admasu
Y1  - 2019/06/13
PY  - 2019
N1  - https://doi.org/10.11648/j.ajtas.20190802.13
DO  - 10.11648/j.ajtas.20190802.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 67
EP  - 76
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20190802.13
AB  - The main objective of this study was to assess household food security status and its major determinants in the rural households of Mojaena Wodera Woreda, Ethiopia. A systematic random sampling method was employed to select the sample from study area. The study period was from September 2017 to September 2018. The recommended daily calorie requirement was used to determine the household food security status. To analyze the data descriptive statistics, bivariate analysis and both Classical logistic regression and Bayesian logistic regression analyses were used. The descriptive analysis of the study revealed that only 37.6% of the sample households were food secured and 62.4% of households were food insecured which was felt short of the 2100kcal per day per person that was national recommended calorie requirements. Based on Hosmer and Lemeshow test the chi-square value and significance value shows that Classical logistic model is quite a good fit. In addition to this, the classification results revealed that 81.3% of the households were correctly predicted Using both Classical and Bayesian logistic regression analysis, eight out of twenty-one predictor variables were selected as major determinants of household food security status. These significant variables were age, marital status, farm land size, land fertility, annual yield, improved seed use, having oxen and family size of household head. Government and the woreda agricultural office should provide cultivable and more fertile farm land, improved seed and support oxen to the farming households at affordable prices to be able to increase farmland size and total annual yield or food production.
VL  - 8
IS  - 2
ER  -

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