Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia

Beyan Ahmed Yuya; Jema Haji Mohammed; Mengistu Ketema Aredo

doi:doi:10.11648/j.wjfst.20220602.11

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Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia

Beyan Ahmed Yuya, Jema Haji Mohammed, Mengistu Ketema Aredo

Published in World Journal of Food Science and Technology (Volume 6, Issue 2)

Received: 24 March 2022 Accepted: 18 April 2022 Published: 10 May 2022

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Abstract

Background: Meeting the overgrowing world population’s food and nutrition demands without harming the environment is a current global issue. This study identified household-level determinants of food and nutrition security status in Eastern Oromia, Ethiopia. Method: Both primary and secondary data about the 2020/21 production year were collected for this study. Primary data was collected from 461 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Logit model and ordered logit econometric models were employed to identify the major determinants of households’ food insecurity and dietary diversity, respectively. Results: The results indicated that 54.01 and 18.22 percent of the total sample household was in the medium level, high-level nutritional categories, and the rest of 27.77 percent was a low nutritional level household category. Similarly, the result indicated that 63.1 percent of the total sample household was found to be food secured, and the rest of 36.9 percent was not. Logit model results indicated that food security status was significantly influenced by education level, social membership, farm income, farmer training, technical advice, livestock holding, and level of information on climate change. Likewise, the ordered logit results indicated that the household level nutritional status was significantly influenced by age of the household head, membership of cooperative education of the head, extension contact, market information, soil fertility status, livestock holding, and road distance. Conclusion: This study indicated that there is room to improve rural household-level food and nutrition security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.

Published in	World Journal of Food Science and Technology (Volume 6, Issue 2)
DOI	10.11648/j.wjfst.20220602.11
Page(s)	19-30
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 and Nutrition Security, Socio-Economic, Determinants, Ordered Logit Model, Ethiopia

References

[1]	Food Security Information Network (FSIN). 2018. Global report on food crises. Rome, Italy: Food and Agriculture Organization (FAO); World Food Programme (WFP).2018 https://www.wfp.org/publications/global-report-food-crises-2018.
[2]	FAO, IFAD, UNICEF, WHO, and WFP (2017), The state of food security and nutrition in the world 2017. Building resilience for peace and food security, Food and Agriculture Organization, Rome (2017).
[3]	Tsegaye Alemu Gute, Zerish Zethu Nkosi. Food Insecurity Experience among Pastoralist Community in South Omo, Ethiopia: A Qualitative Study. Journal of Food Security. 2021; 9 (2): 85-93. DOI: 10.12691/jfs-9-2-6.
[4]	CSA (Central Statistical Agency). (2018), “Agricultural Sample Survey (2018)”, Central Statistical Agency, Addis Ababa. 2018.
[5]	FAO, IFAD, and WFP. (2014). The State of Food Insecurity in the World 2014. Strengthening the enabling environment for food security and nutrition, Rome, FAO.
[6]	FAO, IFAD, and WFP. (2015). State of Food Insecurity in the World. Meeting the 2015 international hunger targets: taking stock of uneven progress. Rome, FAO. www.fao.org/3/i4646e/i4646e.pdf
[7]	World Bank. (2018). World Development Indicators: Country Profile. Available online: http://data.worldbank.org/country/Ethiopia (accessed on 22 March 2021).
[8]	FAO. (2019). Early Warning Early Action report on food security and agriculture. www.fao.org/publications/card/en/c/CA8606EN
[9]	EMDHS. (2019). Ethiopia Mini Demographic and Health Survey 2019: Key Indicators. EPHI and ICF, Rockville, Maryland, USA. Addis Ababa: Public Health Institute.
[10]	Koppmair, S., Kassie, M., & Qaim, M. (2016). Farm production, market access, and dietary diversity in Malawi. Public Health Nutrition, 20 (2), 325–335. doi: 10.1017/S1368980016002135.
[11]	Hirvonen A and Hoddinott J, (2014). Targeting food security interventions when “everyone is poor”: The case of Ethiopia’s Productive Safety Net Programme International Food Policy Research Institute. 2014.
[12]	Jones, A. D., Shrinivas, A., and Bezner-Kerr, R. (2014, June). Farm production diversity is associated with greater household dietary diversity in Malawi: Findings from nationally representative data. Food Policy, 46, 1–12.
[13]	Sisay, D. L., Mulugeta, D. W., and Molla, A. Y. (2019). Climate change adaptation strategies in response to food insecurity: The paradox of improved potato varieties adoption in eastern Ethiopia. Cogent Food and Agriculture, 5: 1640835, 1–15. 2019.
[14]	Wondimagegnhu, B. A., Admassu, T. H., and Nischalke, S. M. (2019). Determinants of farm livelihoods of smallholder farmers in Yayu biosphere reserve, SW Ethiopia: A gender-disaggregated analysis. Cogent Economics & Finance, 7: 1645583, 1–19.
[15]	WFP and FAO.(2014). Markets and Food Security Assessment Mission to the Central African Republic, Special Report. 7 April 2014.
[16]	Aduga, Samuel Weniga Chris Gordon, Emmanuel Boon, Justice Musah-Issah and Surugu.(2019). Determinants of Climate-Smart Agriculture (CSA) Adoption among Smallholder Food Crop Farmers in the Techiman Municipality, Ghana. Ghana Journal of Geography. 11 (1), 124 – 139.
[17]	Agricultiral Office East Hararghe Zone. 2018. General Description of East Hararge Zone, Harar; Agricultural Office East Hararghe Zone: East Hararghe, Ethiopia, 2018.
[18]	CSA (Central Statistical Agency). (2019). Agricultural Sample Survey, Volume I: Report On Area and Production of Major Crops (Private peasant holdings, Meher season). Statistical Bulletin 589, Addis Ababa, 54 p. 2019.
[19]	Haramaya district agricultural office annual report, East Hararghe Oromia Ethiopia, 2019.
[20]	Meta district agricultural office annual report, East Hararghe Oromia Ethiopia, 2019.
[21]	Kothari, C. R. (2004) Research Methodology: Methods and Techniques. 2nd Edition, New Age International Publishers, New Delhi. 2014.
[22]	Field, A. (2013) Discovering Statistics Using IBM SPSS Statistics: And Sex and Drugs and Rock “N” Roll, 4th Edition, Sage, Los Angeles, London, New Delhi. 2013.
[23]	Anderson, J. A. (1984). Regression and Ordered Categorical Variables.’’ Journal of the Royal Statistical Society, Series B (Methodological) 46: 1-30.1984.
[24]	Agresti, A. 2010. Analysis of ordinal categorical data (2nd ed.). New York: Wiley.
[25]	Abegaz, G. A., Hassen, I. W., and Minten, B. (2018). Consumption of animal-source foods in Ethiopia: Patterns, changes, and determinants (Vol. 113). Washington, D. C: International Food Policy Research Institute (IFPRI). 2018.
[26]	Herrador A, Livas D, Soletto L, Becuwe M, Léon S, Vincent O. (2015) Casein kinase 1 controls the activation threshold of an α-arrestin by multisite phosphorylation of the interdomain hinge. Mol Biol Cell 26 (11): 2128-38.2015.
[27]	Hirvonen, K., John, H., Bart, M., and David, S. (2017). Children’s diets, Nutrition Knowledge, and Access to Markets. World Development, 95, 303–315.2017.
[28]	Coates, J., Patenaude, B. N., Rogers, B. L., Roba, A. C., Woldetensay, Y. K., Tilahun, A. F., and Spielman, K. L. (2018). Intra-household nutrient inequity in rural Ethiopia. Food policy, 81, 82–94.2018.
[29]	HLPE. (2017). Nutrition and food systems. A report by the High-Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security. 2017. Rome. www.fao.org/3/a-i7846e.pdf.
[30]	Awoke, T., Aliwo, S., Fentie, M., and Gizaw, Z. (2019). Dietary diversity practice and associated factors among pregnant women in North East Ethiopia. BMC Research Notes, 12, 123. 10.1186/s13104-019-4159-6.2019.
[31]	Gebru, M., Remans, R., Brouwer, I., Baye, K., Melesse, M. B., and Covic, N. (2018). Food Systems for Healthier Diets in Ethiopia. Toward a Research Agenda. IFPRI Discussion Paper 01720. 2018.
[32]	FAO and WFP. 2019. Monitoring food security in countries with conflict situations. A joint FAO/WFP update for the members of the United Nations Security Council. August 2019. Rome.
[33]	William A. Masters, Yan Bai, Anna Herforth, Daniel B. Sarpong, Fulgence Mishili, Joyce Kinabo, and Jennifer c. Coates. (2018). Measuring the affordability of nutritious diets in Africa: price indexes for diet diversity and the cost of nutrient adequacy. Amer. J. Agr. Econ. 100 (5): 1285–1301; DOI: 10.1093/ajae/aay059.2018.
[34]	Admassu, T. H., and Workneh, N. (2016). The impacts of farmer field school training on knowledge and farm technology adoption: Evidence from Smallholder Maize Farmers in Oromia, Ethiopia. Journal of Economics and Public Finance, 2 (1), 1–21. doi: 10.22158/jepf.v2n1p1.
[35]	Aynalem Moges and Mada Melkamu. (2020). Determinants of Rural Household Food Insecurity Status and Coping Strategies in Case of Konso Woreda, Segen Area People’s Zone of Southern Ethiopia. International Journal of Business and Economics Research. 9, (4) 202-206.2020.
[36]	Ahmed, F. F., Eugene, C. E. and Abah, P. O. (2015). Analysis of Food Security among Farming Households in Borno State, Nigeria. Journal of Agricultural Economics, Environment and Social Sciences, 1 (1): 130–141 ISSN: 2476–842346.
[37]	Ahmed, K. D., Jema, H., & Lemma, Z. (2018). Determinants of food insecurity and coping strategies of rural households: The case of Shalla District, West Arsi Zone, Oromia Region, Ethiopia. Journal of Development and Agricultural Economics, 10 (6), 200–212.
[38]	Akukwe T. I. (2020). Household food security and its determinants in agrarian communities of southeastern Nigeria. Agro-Science, 19 (1), 54-60. DOI: https://dx.doi.org/10.4314/as.v19i1.9
[39]	Mohammed, A.; Wassie, S. B.; Teferi, E. T. 2021. Determinants of Smallholders’ Food Security Status in Kalu District, Northern Ethiopia. Challenges 2021, 12, 17. https://doi.org/10.3390/challe12020017
[40]	Magaña-Lemus, D., Ishdorj, A., Rosson, C. P. (2016). Determinants of household food insecurity in Mexico. Agric Econ 4, 10 (2016). https:doi.org/10.1186/s40100-016-0054-9
[41]	Dereje Derso, Degefa Tolossa and Abrham Seyoum. 2020. Household dietary diversity in rural households of Oromia Regional state, Ethiopia: A cross-sectional study. Center for Rural Development, College of Development Studies, Addis Ababa University, Ethiopia. Journal of development and agricultural economics. Vol. 13 (4), pp. 304-313, October-December 2021.
[42]	FAO, IFAD, UNICEF, WFP and WHO. (2018). The State of Food Security and Nutrition in the World 2018. Building climate resilience for food security and nutrition. Rome, FAO. www.fao.org/3/ca5162en/ca5162en.pdf
[43]	Singh. K. N. and Assefa A. (2018). Determinants of food insecurity in the rural farm households in South Wollo Zone of Ethiopia: the case of the Teleyayen sub-watershed Alem-meta. Agricultural and Food Economics, 6: 10. 2018.
[44]	Egbetokun OA and GCG Fraser. (2020). Factors influencing food consumption diversity among farming households in selected states in southwestern Nigeria. Afr. J. Food Agric. Nutr. Dev. and Rural Development 2020; 20 (5): 16325-16342, doi.org/10.18697/ajfand.93.19065.
[45]	Stifel, D., and Minten, B. (2017). Market access, well-being, and nutrition: Evidence from Ethiopia. World Development, 90, 229–241.
[46]	Hirvonen, K., Taffesse, A. S., and Hassen, I. W. (2016). Seasonality and household diets in Ethiopia. Public Health Nutrition, 19 (10), 1723–1730.

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Beyan Ahmed Yuya, Jema Haji Mohammed, Mengistu Ketema Aredo. (2022). Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World Journal of Food Science and Technology, 6(2), 19-30. https://doi.org/10.11648/j.wjfst.20220602.11

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ACS Style

Beyan Ahmed Yuya; Jema Haji Mohammed; Mengistu Ketema Aredo. Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World J. Food Sci. Technol. 2022, 6(2), 19-30. doi: 10.11648/j.wjfst.20220602.11

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AMA Style

Beyan Ahmed Yuya, Jema Haji Mohammed, Mengistu Ketema Aredo. Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World J Food Sci Technol. 2022;6(2):19-30. doi: 10.11648/j.wjfst.20220602.11

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@article{10.11648/j.wjfst.20220602.11,
  author = {Beyan Ahmed Yuya and Jema Haji Mohammed and Mengistu Ketema Aredo},
  title = {Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia},
  journal = {World Journal of Food Science and Technology},
  volume = {6},
  number = {2},
  pages = {19-30},
  doi = {10.11648/j.wjfst.20220602.11},
  url = {https://doi.org/10.11648/j.wjfst.20220602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjfst.20220602.11},
  abstract = {Background: Meeting the overgrowing world population’s food and nutrition demands without harming the environment is a current global issue. This study identified household-level determinants of food and nutrition security status in Eastern Oromia, Ethiopia. Method: Both primary and secondary data about the 2020/21 production year were collected for this study. Primary data was collected from 461 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Logit model and ordered logit econometric models were employed to identify the major determinants of households’ food insecurity and dietary diversity, respectively. Results: The results indicated that 54.01 and 18.22 percent of the total sample household was in the medium level, high-level nutritional categories, and the rest of 27.77 percent was a low nutritional level household category. Similarly, the result indicated that 63.1 percent of the total sample household was found to be food secured, and the rest of 36.9 percent was not. Logit model results indicated that food security status was significantly influenced by education level, social membership, farm income, farmer training, technical advice, livestock holding, and level of information on climate change. Likewise, the ordered logit results indicated that the household level nutritional status was significantly influenced by age of the household head, membership of cooperative education of the head, extension contact, market information, soil fertility status, livestock holding, and road distance. Conclusion: This study indicated that there is room to improve rural household-level food and nutrition security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.},
 year = {2022}
}

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TY  - JOUR
T1  - Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia
AU  - Beyan Ahmed Yuya
AU  - Jema Haji Mohammed
AU  - Mengistu Ketema Aredo
Y1  - 2022/05/10
PY  - 2022
N1  - https://doi.org/10.11648/j.wjfst.20220602.11
DO  - 10.11648/j.wjfst.20220602.11
T2  - World Journal of Food Science and Technology
JF  - World Journal of Food Science and Technology
JO  - World Journal of Food Science and Technology
SP  - 19
EP  - 30
PB  - Science Publishing Group
SN  - 2637-6024
UR  - https://doi.org/10.11648/j.wjfst.20220602.11
AB  - Background: Meeting the overgrowing world population’s food and nutrition demands without harming the environment is a current global issue. This study identified household-level determinants of food and nutrition security status in Eastern Oromia, Ethiopia. Method: Both primary and secondary data about the 2020/21 production year were collected for this study. Primary data was collected from 461 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Logit model and ordered logit econometric models were employed to identify the major determinants of households’ food insecurity and dietary diversity, respectively. Results: The results indicated that 54.01 and 18.22 percent of the total sample household was in the medium level, high-level nutritional categories, and the rest of 27.77 percent was a low nutritional level household category. Similarly, the result indicated that 63.1 percent of the total sample household was found to be food secured, and the rest of 36.9 percent was not. Logit model results indicated that food security status was significantly influenced by education level, social membership, farm income, farmer training, technical advice, livestock holding, and level of information on climate change. Likewise, the ordered logit results indicated that the household level nutritional status was significantly influenced by age of the household head, membership of cooperative education of the head, extension contact, market information, soil fertility status, livestock holding, and road distance. Conclusion: This study indicated that there is room to improve rural household-level food and nutrition security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.
VL  - 6
IS  - 2
ER  -

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Author Information

Beyan Ahmed Yuya

Agricultural Economics and Agribusiness School, Haramaya University, Dire Dawa, Ethiopia
Jema Haji Mohammed

Agricultural Economics and Agribusiness School, Haramaya University, Dire Dawa, Ethiopia
Mengistu Ketema Aredo

Ethiopian Economic Associations, Addis Ababa, Ethiopia

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Beyan Ahmed Yuya, Jema Haji Mohammed, Mengistu Ketema Aredo. (2022). Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World Journal of Food Science and Technology, 6(2), 19-30. https://doi.org/10.11648/j.wjfst.20220602.11

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ACS Style

Beyan Ahmed Yuya; Jema Haji Mohammed; Mengistu Ketema Aredo. Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World J. Food Sci. Technol. 2022, 6(2), 19-30. doi: 10.11648/j.wjfst.20220602.11

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AMA Style

Beyan Ahmed Yuya, Jema Haji Mohammed, Mengistu Ketema Aredo. Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia. World J Food Sci Technol. 2022;6(2):19-30. doi: 10.11648/j.wjfst.20220602.11

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@article{10.11648/j.wjfst.20220602.11,
  author = {Beyan Ahmed Yuya and Jema Haji Mohammed and Mengistu Ketema Aredo},
  title = {Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia},
  journal = {World Journal of Food Science and Technology},
  volume = {6},
  number = {2},
  pages = {19-30},
  doi = {10.11648/j.wjfst.20220602.11},
  url = {https://doi.org/10.11648/j.wjfst.20220602.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjfst.20220602.11},
  abstract = {Background: Meeting the overgrowing world population’s food and nutrition demands without harming the environment is a current global issue. This study identified household-level determinants of food and nutrition security status in Eastern Oromia, Ethiopia. Method: Both primary and secondary data about the 2020/21 production year were collected for this study. Primary data was collected from 461 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Logit model and ordered logit econometric models were employed to identify the major determinants of households’ food insecurity and dietary diversity, respectively. Results: The results indicated that 54.01 and 18.22 percent of the total sample household was in the medium level, high-level nutritional categories, and the rest of 27.77 percent was a low nutritional level household category. Similarly, the result indicated that 63.1 percent of the total sample household was found to be food secured, and the rest of 36.9 percent was not. Logit model results indicated that food security status was significantly influenced by education level, social membership, farm income, farmer training, technical advice, livestock holding, and level of information on climate change. Likewise, the ordered logit results indicated that the household level nutritional status was significantly influenced by age of the household head, membership of cooperative education of the head, extension contact, market information, soil fertility status, livestock holding, and road distance. Conclusion: This study indicated that there is room to improve rural household-level food and nutrition security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.},
 year = {2022}
}

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TY  - JOUR
T1  - Socio-Economic Determinants of Household-Level Food and Nutrition Security Among Smallholder Farmers of Eastern Oromia, Ethiopia
AU  - Beyan Ahmed Yuya
AU  - Jema Haji Mohammed
AU  - Mengistu Ketema Aredo
Y1  - 2022/05/10
PY  - 2022
N1  - https://doi.org/10.11648/j.wjfst.20220602.11
DO  - 10.11648/j.wjfst.20220602.11
T2  - World Journal of Food Science and Technology
JF  - World Journal of Food Science and Technology
JO  - World Journal of Food Science and Technology
SP  - 19
EP  - 30
PB  - Science Publishing Group
SN  - 2637-6024
UR  - https://doi.org/10.11648/j.wjfst.20220602.11
AB  - Background: Meeting the overgrowing world population’s food and nutrition demands without harming the environment is a current global issue. This study identified household-level determinants of food and nutrition security status in Eastern Oromia, Ethiopia. Method: Both primary and secondary data about the 2020/21 production year were collected for this study. Primary data was collected from 461 smallholder farmers that were collected using a simple random sampling technique. Descriptive statistics and econometric models were used for data analysis. Logit model and ordered logit econometric models were employed to identify the major determinants of households’ food insecurity and dietary diversity, respectively. Results: The results indicated that 54.01 and 18.22 percent of the total sample household was in the medium level, high-level nutritional categories, and the rest of 27.77 percent was a low nutritional level household category. Similarly, the result indicated that 63.1 percent of the total sample household was found to be food secured, and the rest of 36.9 percent was not. Logit model results indicated that food security status was significantly influenced by education level, social membership, farm income, farmer training, technical advice, livestock holding, and level of information on climate change. Likewise, the ordered logit results indicated that the household level nutritional status was significantly influenced by age of the household head, membership of cooperative education of the head, extension contact, market information, soil fertility status, livestock holding, and road distance. Conclusion: This study indicated that there is room to improve rural household-level food and nutrition security status using more of the aforementioned socio-economic variables. Therefore, policymakers should give due emphasis to the identified variables and improve the livelihoods of rural households.
VL  - 6
IS  - 2
ER  -

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