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Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda

Received: 19 May 2022     Accepted: 8 June 2022     Published: 5 July 2022
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Abstract

Rural household’s food security mediations can be viably actualized through in-depth Analysis of food security status and its determinants. Food insecurity frailty is basically more broad and serious in rural areas than in urban ones. This study was conducted to analyze the determinants of household food security in Pawe woreda. This study followed two-stage sampling procedure to draw samples representing rural households. The total of 330 households were randomly selected from four rural Kebeles. The study employed survey questionnaire, Focus group Discussion (FGD) and Key Informant Interview (KII) data collection methods. Descriptive statistics were used. Accordingly, the percentages of food security status of all respondents in the study area were found to be 26.36%, 32.12% and 41.52% were low, medium and high dietary diversity score, respectively. In econometric analysis we employed ordered probit model. Accordingly, education level of household head and farm experience, utilization of credit, tropical livestock, market information and access to training showed a significant and positive effect on food security. Whereas distance from the nearest market have a negative and significant effect on food security. The results suggest that the concerned bodies give emphasis, strengthening education and skill training centers to farming households and agricultural marketing and infrastructures that enhance off farm activities in sustainable manner need to be designed to increase food security in the study area.

Published in Science Development (Volume 3, Issue 3)
DOI 10.11648/j.scidev.20220303.12
Page(s) 88-97
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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), 2022. Published by Science Publishing Group

Keywords

Food Security, Ordered Probit Model, Rural Households

References
[1] Alemayehu, G., De Jong, Niek, Kimenyi Mwangi, S., and Mwabu, Germano (2005). Determinants of Poverty in Kenya: A Household Level Analysis. Economics Working Papers. Paper 200544.
[2] Alemnesh, D., Rahmeto, N., Agidew A. (2018). “Determinants of Household Food Security and Coping Strategy: (Evidence from Amaro Woreda of Southern Ethiopia).” Int. J. Res. Granth. 6 (5): 128-137.
[3] Arega, B. (2012). Determining food security indicators at household level in drought prone areas of the Amhara region of Ethiopia: The case of Lay Gaint district. Ethiopian Journal of Environmental Studies and Management. 5 (4), 422-434.
[4] Ayalneh. B., and Korf, B. (2009). Analysis of poverty and its covariates among smallholder farmers in eastern Hararghe highlands of Ethiopia. Contributed Paper prepared for presentation at the International Association of Agricultural Economists Conference, Beijing, China, August 16-22, 2009.
[5] Bekabil UT. 2015. Empirical Review of Production, Productivity and Marketability of Soya Bean in Ethiopia. Int J u- e-Service, Sci Technol 2015; 8: 61–6. https://doi.org/10.14257/ijunesst..8.1.06.
[6] Bickel G, Nord M, Price C, Hamilton W, Cook J. 2000. Guide to Measuring Household Food Security.
[7] Brown GW, Craig TKJ, Harris TO. 2008. Parental maltreatment and proximal risk factors using the Childhood Experience of Care & Abuse (CECA) instrument: A life-course study of adult chronic depression - 5. J Affect Disord; 110: 222–33.
[8] Bruns HA. 2016. Macro-Nutrient Concentration and Content of Irrigated Soybean Grown in the Early Production System of the Midsouth. Http://DxDoiOrg/101080/0010362420161225079 2016.
[9] Di Falco SADIF, Eronesi MA V, Esuf MAY. Does Adaptation to Climate Change Provide Food Security?Amicro-Perspective From Ethiopia. Agric Appl Econ 2011; 93: 829–46. https://doi.org/10.1093/ajae/aar006.
[10] Diro S. and Demissie W. M. 2015. Determinants of adoption of soybean and its impact on the livelihood of smallholder farmers in Jimma zone. (January).
[11] Ebrahim M. 2019. Adoption of Improved Potato Varieties And Its Impact on Household Nutrition: Evidence From Emba Alaje Woreda, Northern Ethiopia. Bahir Dar University.
[12] Faltermeier L, Abdulai A. 2009. The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana. Agric Econ; 40: 365–79. https://doi.org/10.1111/j.1574-0862.2009.00383.x.
[13] FAO (food and Agriculture Organization). 2010. Guidelines for Measuring Household and Individual Dietary Diversity. Rome, Italy.
[14] FAO. 2011. Guidelines for measuring household and individual dietary diversity. Rome, Italy.
[15] Faturoti BO, Emah GN, Isife BI, Tenkouano A, Lemchi J. 2006. Prospects and determinants of adoption of IITA plantain and banana based technologies in three Niger Delta States of Nigeria; 5: 1319–23.
[16] Foster AD, Rosenzweig MR. 2010. Barriers to Farm Profitability in India: Mechanization, Scale and Credit Markets Andrew D. Foster and Mark R. Rosenzweig September.
[17] Gecho Y, Ayele G, Lemma T, Alemu D. 2014. Rural Household Livelihood Strategies: Options and Determinants in the Case of Wolaita Zone. South Ethiop Soc Sci 2014; 3: 92–104. https: //doi.org/10.11648/j.ss.0303.15.
[18] Getahun A, Atnaf M, Abady S, Degu T, Dilnesaw Z. 2016. Participatory Variety Selection of Soybean (Glycine max (L.) Merrill) Varieties Under Rain Fed Condition of; 3: 40–3.
[19] Greene, W. H. (2002). Econometric Analysis. 5th edition. Engelwood Cliffs, NJ: Prentice Hall.
[20] Gujarati, D. N. (2004). Basic Econometrics 4th edition. The McGraw-Hill Companies, New York.
[21] Hofferth SI. 2004. Persistence and change in food security of families with children, 1997–1999. Economic Research Institute, USDA, Monograph (EFAN04001). Economic Research Institute, USDA, Monograph (EFAN04001).
[22] Hussein, W., Janekarnki P. 2013. “Determinants of rural household food security in Jigjiga district of Ethiopia”. Kasetsart.
[23] Iticha MD, Taresa B. 2020. Factors Affecting Adoption of Soybean Production Technologies in Ethiopia. Food Sci Qual Manag; 96.
[24] Jaleta M, Kassie M, Marenya P, Yirga C, Ernstein O. 2015. Impact of Improved Maize Variety Adoption on Household Food Security in Ethiopia: An Endogenous Switching Regression Approach. Int Conf Agric Econ: 1–26.
[25] Ketema M, Kebede D, Dechassa N, Hundessa F. 2016. Determinants of Adoption of Potato Production Technology Package By Smallholder Farmers: Evidences From Eastern Ethiopia. Rev Agric Appl Econ 2016; 19: 61–8. https://doi.org/10.15414/raae..19.02.61-68.
[26] Khonje M, Manda J, Alene AD, Kassie M. 2014. Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia. World Dev 2015; 66: 695 706-706. https://doi.org/10.1016/j.worlddev.09.008.
[27] Koffio-Tessio EM, YH Tossou, KA Homevor 2005. Impact of education on agricultural productivity in sub-Saharan Africa. Paper presented at a “Global Conference on Education Research in Developing Countries”, Prague, Czech Republic, 31 March–2 April.
[28] Lokshin M, World T, Washington B, Sajaia Z. 2011. Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors. Stata J; 11: 368–85.
[29] McDonald JF, Moffitt RA. 1980. The Uses of Tobit Analysis. Rev Econ Stat; 62: 318. https://doi.org/10.2307/1924766.
[30] McGuire S. FAO, IFAD, and WFP. 2015. The State of Food Insecurity in the World 2015: Meeting the 2015 International Hunger Targets: Taking Stock of Uneven Progress. Rome.
[31] Meron, A. (2003). Female-Headed Households and Poverty in Urban Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Addis Ababa University, Addis Ababa, 113 pp.
[32] Meskerem, A., Degefa, T. (2015). Household Food Security Status and Its Determinants in Girar Jarso Woreda, North Shewa Zone of Oromia Region, Ethiopia. Journal of Sustainable Development in Africa (Volume 17, No. 7) ISSN: 1520-5509.
[33] Miruts F. 2016. Analysis of the Factors Affecting Adoption of Soybean Production Technology in Pawe District, Metekele Zone of Benshangul Gumuz Regional; 53: 122–37.
[34] MoFED. Growth and Transformation Plan (GTP) 2010/11-2014/15. Addis Ababa, Ethiopia: 2014.
[35] Mugisha J., Mwadime R., Sebatta C., Gensi R. and Obaa B. 2017. Factors enhancing household nutrition outcomes in potato value chain in South-Western Uganda.
[36] Musba Kedir. 2019. Impact of Improved Soybean (Belessa-95) Variety on Income among Smallholder Farmers in Bambasi Woreda, Benshangul Gumuz Regional State. Greener Journal of Agricultural Sciences.
[37] Nelson KM. 2013. Analysis of Farmer Preferences for Wheat Variety Traits in Ethiopia : a Gender-Responsive Study. Cornell University.
[38] Pachapur PK, Pachapur VL, Brar SK, Galvez R, Le Bihan Y, Surampalli RY. 2020. Food Security and Sustainability. Sustainability, Wiley; p. 357–74. Meron, A. (2003). Female-Headed Households and Poverty in Urban Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Addis Ababa University, Addis Ababa, 113 pp.
[39] Pappoe P (2011) Effect of Biofuel production on household food security in the central region of Ghana. M.Sc. Theis, University of Ghana, Ghana.
[40] PRICE V, TEWKSBURY D, POWERS E. 1997. Switching Trains of Thought. Communic Res; 24: 481–506. https://doi.org/10.1177/009365097024005002.
[41] Sales P, V. G., Pelúzio JM, Afférri FS, Sales ACR da C, Sales VHG. 2016. Effect of pods’ position on the protein content in soybean grains at low latitude. J Bioenergy Food Sci; 3: 216–21.
[42] Samuel D and Wondaferahu M. 2015. Determinants of adoption of soybean and its impact on the livelihood of smallholder farmers in Jimma zone. ZENITH Int J Multidiscip Res; 5: 119–38.
[43] Shiferaw B, Kassie M, Jaleta M, Yirga C. 2014. Adoption of improved wheat varieties and impacts on household food security in Ethiopia. Food Policy https://doi.org/10.1016/j.foodpol.2013.09.012.
[44] Stubbs B, Koyanagi A, Hallgren M, Firth J, Richards J, Schuch F. 2016. Physical activity and anxiety_ A perspective from the World Health Survey. J Affect Disord 2017; 208: 545–52. https: //doi.org/10.1016/j.jad.10.028.
[45] Teferi A, Philip D, Jaleta M. 2015. Factors that affect the adoption of improved maize varieties by smallholder farmers in Central Oromia, Ethiopia. Dev Ctry Stud; 5: 50–9.
[46] Tewodros, T., Fikadu T. (2014). Determinants of Households Food Security and Coping Strategies for Food Shortfall in Mareko District, Guraghe Zone Southern Ethiopia. J. Food. Secu. 2 (3): 92-99.
[47] Tibebu, A., Sisay G. (2017). Level and Determinants of Food Security in North Wollo Zone (Amhara Region – Ethiopia). J. Food Security, vol. 5, no. 6; 232-247.
[48] Tiruneh ES, Wassie SB. 2020. Adoption and ex-post impact of alternative teff production technologies: micro-level evidence from Ethiopia. Agrekon: 1–16. https://doi.org/10.1080/03031853.2020.1782761.
[49] Tobin J. 1968. “Estimation of relationships for limited dependent variables.” Econometrical.
[50] Wabwile VK. 2016. Effect Of Improved Sweet Potato Varieties on Household Food Security In Bungoma County, Kenya. https://doi.org/10.22004/AG.ECON.243474.
[51] WFP. 2008. Vulnerablity analysis and mapping: Calculation and use of the food consumption score in food security analysis.
[52] Yamane, T. (1967). Statistics, an Introductory Analysis, 2nd ed., New York: Harper and Row.
[53] Yishak Gecho and Punjabi N. 2011. Determinants of Adoption of Improved Maize Technology in Damot Gale, Wolaita, Ethiopia.
[54] Mohammed, A.; Wassie, S. B.; Teferi, E. T. Determinants of Smallholders’ Food Security Status in Kalu District, Northern Ethiopia. Challenges 2021, 12, 17. https://doi.org/10.3390/challe12020017
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    Chirotaw Tsegaw, Adem Endris, Getaneh Assefa. (2022). Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda. Science Development, 3(3), 88-97. https://doi.org/10.11648/j.scidev.20220303.12

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    Chirotaw Tsegaw; Adem Endris; Getaneh Assefa. Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda. Sci. Dev. 2022, 3(3), 88-97. doi: 10.11648/j.scidev.20220303.12

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    AMA Style

    Chirotaw Tsegaw, Adem Endris, Getaneh Assefa. Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda. Sci Dev. 2022;3(3):88-97. doi: 10.11648/j.scidev.20220303.12

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  • @article{10.11648/j.scidev.20220303.12,
      author = {Chirotaw Tsegaw and Adem Endris and Getaneh Assefa},
      title = {Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda},
      journal = {Science Development},
      volume = {3},
      number = {3},
      pages = {88-97},
      doi = {10.11648/j.scidev.20220303.12},
      url = {https://doi.org/10.11648/j.scidev.20220303.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.scidev.20220303.12},
      abstract = {Rural household’s food security mediations can be viably actualized through in-depth Analysis of food security status and its determinants. Food insecurity frailty is basically more broad and serious in rural areas than in urban ones. This study was conducted to analyze the determinants of household food security in Pawe woreda. This study followed two-stage sampling procedure to draw samples representing rural households. The total of 330 households were randomly selected from four rural Kebeles. The study employed survey questionnaire, Focus group Discussion (FGD) and Key Informant Interview (KII) data collection methods. Descriptive statistics were used. Accordingly, the percentages of food security status of all respondents in the study area were found to be 26.36%, 32.12% and 41.52% were low, medium and high dietary diversity score, respectively. In econometric analysis we employed ordered probit model. Accordingly, education level of household head and farm experience, utilization of credit, tropical livestock, market information and access to training showed a significant and positive effect on food security. Whereas distance from the nearest market have a negative and significant effect on food security. The results suggest that the concerned bodies give emphasis, strengthening education and skill training centers to farming households and agricultural marketing and infrastructures that enhance off farm activities in sustainable manner need to be designed to increase food security in the study area.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Determinants of Food Security Status of Rural Households in Benishangul Gumuz Region: The Case of Pawe Woreda
    AU  - Chirotaw Tsegaw
    AU  - Adem Endris
    AU  - Getaneh Assefa
    Y1  - 2022/07/05
    PY  - 2022
    N1  - https://doi.org/10.11648/j.scidev.20220303.12
    DO  - 10.11648/j.scidev.20220303.12
    T2  - Science Development
    JF  - Science Development
    JO  - Science Development
    SP  - 88
    EP  - 97
    PB  - Science Publishing Group
    SN  - 2994-7154
    UR  - https://doi.org/10.11648/j.scidev.20220303.12
    AB  - Rural household’s food security mediations can be viably actualized through in-depth Analysis of food security status and its determinants. Food insecurity frailty is basically more broad and serious in rural areas than in urban ones. This study was conducted to analyze the determinants of household food security in Pawe woreda. This study followed two-stage sampling procedure to draw samples representing rural households. The total of 330 households were randomly selected from four rural Kebeles. The study employed survey questionnaire, Focus group Discussion (FGD) and Key Informant Interview (KII) data collection methods. Descriptive statistics were used. Accordingly, the percentages of food security status of all respondents in the study area were found to be 26.36%, 32.12% and 41.52% were low, medium and high dietary diversity score, respectively. In econometric analysis we employed ordered probit model. Accordingly, education level of household head and farm experience, utilization of credit, tropical livestock, market information and access to training showed a significant and positive effect on food security. Whereas distance from the nearest market have a negative and significant effect on food security. The results suggest that the concerned bodies give emphasis, strengthening education and skill training centers to farming households and agricultural marketing and infrastructures that enhance off farm activities in sustainable manner need to be designed to increase food security in the study area.
    VL  - 3
    IS  - 3
    ER  - 

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Author Information
  • Collage of Agriculture and Natural Resource, Assosa University, Assosa, Ethiopia

  • Collage of Agriculture and Natural Resource, Assosa University, Assosa, Ethiopia

  • Collage of Agriculture and Natural Resource, Assosa University, Assosa, Ethiopia

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