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Consumption Estimates of Food Calories in Port Harcourt Households, South-South Nigeria: LA/AIDS Approach

Year 2024, Volume: 7 Issue: 5, 497 - 504, 15.09.2024
https://doi.org/10.47115/bsagriculture.1466167

Abstract

This research analyzed the households in Port Harcourt city identified the demand patterns through survey and evaluated the effect of price, income and other factors on demand for food calories. Broadly this paper estimated the demand for calories consumed households by utilizing data sets that include household consumption amounts, food commodity prices and expenditures. The paper employs the Linear Approximate Almost Ideal Demand System (LA/AIDS) to estimates expenditure elasticities for the aggregate commodities: rice, yam, garri, and fufu, providing an insight into differences in calories consumption levels and patterns across households. Results of the survey shows that one year increase in the education of household head decreases the share of fufu by 0.378 per cent while that of rice and yam increases by 0.067 and 0.711 percentage respectively. Again, male headed households spend more on fufu (0.590) compared to their female headed counterparts, while it is 0.590 and -0.365 percent smaller for garri and yam. The coefficient of the variables for household size equivalence is negatively significant for garri (-0.897) and fufu (-0.976). Results of tests of homogeneity shows that homogeneity condition in the estimated demand system holds only for fufu, yam and rice. In this connection, it is recommended that greater capacity must be built for multi-disciplinary research and development. Such research and development efforts will undoubtedly reveal a host of calorie food-based products and alternative processing technologies that will enhance household consumption of the products.

References

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  • Addo AR. 2016. Analysis of the demand for locally produced rice in Kumasi, Ghana. MSc Thesis, Department of Economics, Kwame Nkrumah University, Kumasi, Ghana, pp: 84. URL= https://ir.knust.edu.gh/items/ba5402f5-077d-4a62-9960-37fdbc2f2570 (accessed date: January 10, 2024).
  • Almas H, Esfandiar M, Guanghua W. 2019. An analysis of the determinants of household consumption expenditure and poverty in India. Economies, 7(4): 96. https://doi.org/10.3390/economies7040096
  • Aromolaran A. 2004. Household income, women's income share and food calorie intake in South Western Nigeria. Food Policy, 29(5): 507-530. https://doi.org/10.1016/j.foodpol.2004.07.002
  • Ashagidigbi WM, Yusuf SA, Okoruwa VO. 2012. Determinants of households’ food demand in Nigeria. World Rural Observat, 4(4): 17-28.
  • Baba DS, Baba S, Ohsum W, Kanaya NS, Osumi RT. 1999. High protein versus high carbohydrate hypoenergetic diet for the treatment of obese. Int J Obesity, 23(11): 1202-126.
  • Bett HK, Musyoka MP, Peters KJ, Bokelmann W. 2012. Demand for meat in the rural and urban areas of Kenya: A focus on the indigenous chicken. Econ Res Int, 2012(1): 1-10. https://doi.org/10.1155/2012/401472
  • Deaton A, Muellbauer J. 1986. On measuring child costs: With applications to poor countries. J Polit Econ, 94(4): 720-744. http://dx.doi.org/10.1086/261405
  • Deaton A, Muellbaurer J. 1980. An almost ideal demand system. Amer Econ Rev, 33(7): 121-326.
  • Easton B. 2001. Household equivalence scale. URL= https://www.eastonbh.ac.nz/2002/11/household_equivalence_scales/ (accessed date: January 05, 2024).
  • Edgerton DL. 1997. Weak separability and the estimation of elasticities in multistage demand systems. Amer J Agri Econ, 79(1): 62-79. https://doi.org/10.2307/1243943
  • FAO. 2003. Food and Agricultural Organization of United Nations: World agriculture: Towards 2015/2030 an FAO perspective. URL= https://www.fao.org/4/y4252e/y4252e00.htm#TopOfPage (accessed date: January 15, 2024).
  • FAO. 2017. Food and Agricultural Organization of United Nations: Annual statistics. Rome, Italy, https://www.fao.org/home/en (accessed date: January 15, 2024).
  • FAO. 2020. Food and Agricultural Organization of United Nations: In brief to the state of food security and nutrition in the World 2020. Transforming food systems for affordable healthy diets; FAO: Rome, Italy, https://www.fao.org/home/en (accessed date: January 15, 2024)..
  • Gibson JC. 2005. Food consumption and food policy in urban Papua. Institute of National Affairs, Port moves by Papua, New Guinea, pp: 42.
  • Gido EO, Ayuya OI, Owuor G, Bokelmann W. 2017. Consumer acceptance of leafy African indigenous vegetables: Comparison between rural and urban dwellers. Int J Veg Sci, 23(4): 346-361.
  • Korir L, Rizov M, Ruto E. 2018. Analysis of household food demand and its implications on food security in Kenya: an application of QUAIDS model. Agricultural Economics Society-AES, 92nd Annual Conference, April 16-18, Warwick University, Coventry, UK, pp: 72.
  • Kormawa PM, Chianu JN, Manyong VM. 2002. Cowpea demand and supply patterns in West Africa: the case of Nigeria. URL: https://www.researchgate.net/publication/237536245_Cowpea_demand_and_supply_patterns_in_West_Africa_the_case_of_Nigeria (accessed date: October 13, 2023).
  • Layman DK, Evans E, Baum JI, Seyler J, Erickson DJ, Boileau RA. 2005. Dietary protein and exercise have additive effects on body composition during weight loss in adult women. J Nutrit, 135(8): 1903-1910.
  • Manyong VM, Bamire AS, Zuckerman PS. 2007. Rural household expenditures for roots and tubers in South Western Nigeria: An almost ideal demand system analysis. Proceedings of the 13th International Society for Tropical Root Crops (ISTRC) Symposium, 5-10 March, Dar Salam, Tanzania, pp: 54.
  • Musyoka MP, Kavoi MM, Omiti JM. 2014. Food consumption patterns and distributional welfare impact of import tariff reduction on cereals in Kenya. African J Agri Resour Econ, 9(3): 1-17.
  • National Health Service (NHS) 2023. National Health Service: Understanding calories. URL= https://www.nhs.uk/live-well/healthy-weight/managing-your-weight/understanding-calories/ (accessed date: January 15, 2024).
  • Nuani FO, Gido EO, Ingasia O. 2022. Consumer preference for selected roots and tubers among urban households. Int J Vegetable Sci, 28(1): 1-14. https://doi.org/10.1080/19315260.2022.2070570
  • Obalola OT, Tanko L, Aboaba KO, Abubakar BB, Odum EEB, Agboola BO, Ibrahim KH, Audu RO, Danilola ST. 2021. Determinants of food demand among urban households in Minna Metropolis, Niger State, Nigeria. J Agri Nat Resour, 4(2): 175-185. https://doi.org/10.3126/janr.v4i2.33739
  • Oladimeji YU, Yusuf HO, Yusuf S, Abdulsalam Z. 2018. Cost and calorie analysis of food consumption in artisanal fishery households in North-Western and North-Central Nigeria. FUOYE J Eng Technol, 3(1): 90-96. https://doi.org/10.46792/fuoyejet.v3i1.165
  • Piatti W, Piatte RS, Caumo RE. 1994. Hypocaloric high protein diet improves glucose oxidation and spares lean body mass: Comparison to hypocaloric high carbohydrate diet. Metabolism, 43(12): 1481-1487.
  • Pieters H, Guariso A, Vandeplas A. 2013. Conceptual framework for the analysis of the determinants of food and nutrition security. Food Sec Work, 13: 1-51.
  • Rono PK, Rahman S, Benaissa C. 2017. An analysis of demand for roots and tubers in Kenya using the linear approximation almost ideal demand system (LA-AIDS). Annual meeting, Southern Agricultural Economics Association, February 4-7, Alabama, USA, pp: 143. https://doi.org/10.22004/ag.econ.252786
  • Rozi F, Krisdiana R, Sutrisno I. 2021. Pattern of cassava demand as the promising commodity in the future. 1st International Conference on Sustainable Agricultural Socio-Economics, Agribusiness, and Rural Development (ICSASARD), Atlantis Press, 199: 31-36.
  • Strauss J. 1984. Joint determinants of food consumption and production in rural Sierra Leone: Estimates of household-firm model. J Devel Econ, 14(1): 77-113.
  • Subramamian S, Deaton A. 1996. The demand for food and calories. J Pol Econ, 104(1): 113-163.
  • Tsegai D, Kormawa PC. 2002. Determinants of urban household demand for cassava products in Kaduna, Northern Nigeria. Conference of International Research for Development, October 9-10, Witzenhanston, Germany, pp: 63.
  • Tsegai D, Kormawa PC. 2009. Determinants of urban household demand for cassava products in Kaduna, Northern Nigeria. Eur J Devel Res, 21(3): 435-447. https://doi.org/10.1057/ejdr.2009.15.
  • USCB. 2021. United States Census Bureau: Equivalence adjustment of income. URL= https://www.census.gov/topics/income-poverty/income-inequality/about/metrics/equivalence.html (accessed date: October 27, 2023).
  • Zhao J, Huang J, Nie F. 2022. The income elasticities of food, calories, and nutrients in China: A meta-analysis. Nutrients, 14(22): 4711. https://doi.org/10.3390/nu14224711
Year 2024, Volume: 7 Issue: 5, 497 - 504, 15.09.2024
https://doi.org/10.47115/bsagriculture.1466167

Abstract

References

  • Abdulai A, Aubert D. 2004. A cross-section analysis of household demand for food and nutrients in Tanzania. Agri Econ, 31(1): 67-79. https://doi.org/10.1016/j.agecon.2003.03.001
  • Addo AR. 2016. Analysis of the demand for locally produced rice in Kumasi, Ghana. MSc Thesis, Department of Economics, Kwame Nkrumah University, Kumasi, Ghana, pp: 84. URL= https://ir.knust.edu.gh/items/ba5402f5-077d-4a62-9960-37fdbc2f2570 (accessed date: January 10, 2024).
  • Almas H, Esfandiar M, Guanghua W. 2019. An analysis of the determinants of household consumption expenditure and poverty in India. Economies, 7(4): 96. https://doi.org/10.3390/economies7040096
  • Aromolaran A. 2004. Household income, women's income share and food calorie intake in South Western Nigeria. Food Policy, 29(5): 507-530. https://doi.org/10.1016/j.foodpol.2004.07.002
  • Ashagidigbi WM, Yusuf SA, Okoruwa VO. 2012. Determinants of households’ food demand in Nigeria. World Rural Observat, 4(4): 17-28.
  • Baba DS, Baba S, Ohsum W, Kanaya NS, Osumi RT. 1999. High protein versus high carbohydrate hypoenergetic diet for the treatment of obese. Int J Obesity, 23(11): 1202-126.
  • Bett HK, Musyoka MP, Peters KJ, Bokelmann W. 2012. Demand for meat in the rural and urban areas of Kenya: A focus on the indigenous chicken. Econ Res Int, 2012(1): 1-10. https://doi.org/10.1155/2012/401472
  • Deaton A, Muellbauer J. 1986. On measuring child costs: With applications to poor countries. J Polit Econ, 94(4): 720-744. http://dx.doi.org/10.1086/261405
  • Deaton A, Muellbaurer J. 1980. An almost ideal demand system. Amer Econ Rev, 33(7): 121-326.
  • Easton B. 2001. Household equivalence scale. URL= https://www.eastonbh.ac.nz/2002/11/household_equivalence_scales/ (accessed date: January 05, 2024).
  • Edgerton DL. 1997. Weak separability and the estimation of elasticities in multistage demand systems. Amer J Agri Econ, 79(1): 62-79. https://doi.org/10.2307/1243943
  • FAO. 2003. Food and Agricultural Organization of United Nations: World agriculture: Towards 2015/2030 an FAO perspective. URL= https://www.fao.org/4/y4252e/y4252e00.htm#TopOfPage (accessed date: January 15, 2024).
  • FAO. 2017. Food and Agricultural Organization of United Nations: Annual statistics. Rome, Italy, https://www.fao.org/home/en (accessed date: January 15, 2024).
  • FAO. 2020. Food and Agricultural Organization of United Nations: In brief to the state of food security and nutrition in the World 2020. Transforming food systems for affordable healthy diets; FAO: Rome, Italy, https://www.fao.org/home/en (accessed date: January 15, 2024)..
  • Gibson JC. 2005. Food consumption and food policy in urban Papua. Institute of National Affairs, Port moves by Papua, New Guinea, pp: 42.
  • Gido EO, Ayuya OI, Owuor G, Bokelmann W. 2017. Consumer acceptance of leafy African indigenous vegetables: Comparison between rural and urban dwellers. Int J Veg Sci, 23(4): 346-361.
  • Korir L, Rizov M, Ruto E. 2018. Analysis of household food demand and its implications on food security in Kenya: an application of QUAIDS model. Agricultural Economics Society-AES, 92nd Annual Conference, April 16-18, Warwick University, Coventry, UK, pp: 72.
  • Kormawa PM, Chianu JN, Manyong VM. 2002. Cowpea demand and supply patterns in West Africa: the case of Nigeria. URL: https://www.researchgate.net/publication/237536245_Cowpea_demand_and_supply_patterns_in_West_Africa_the_case_of_Nigeria (accessed date: October 13, 2023).
  • Layman DK, Evans E, Baum JI, Seyler J, Erickson DJ, Boileau RA. 2005. Dietary protein and exercise have additive effects on body composition during weight loss in adult women. J Nutrit, 135(8): 1903-1910.
  • Manyong VM, Bamire AS, Zuckerman PS. 2007. Rural household expenditures for roots and tubers in South Western Nigeria: An almost ideal demand system analysis. Proceedings of the 13th International Society for Tropical Root Crops (ISTRC) Symposium, 5-10 March, Dar Salam, Tanzania, pp: 54.
  • Musyoka MP, Kavoi MM, Omiti JM. 2014. Food consumption patterns and distributional welfare impact of import tariff reduction on cereals in Kenya. African J Agri Resour Econ, 9(3): 1-17.
  • National Health Service (NHS) 2023. National Health Service: Understanding calories. URL= https://www.nhs.uk/live-well/healthy-weight/managing-your-weight/understanding-calories/ (accessed date: January 15, 2024).
  • Nuani FO, Gido EO, Ingasia O. 2022. Consumer preference for selected roots and tubers among urban households. Int J Vegetable Sci, 28(1): 1-14. https://doi.org/10.1080/19315260.2022.2070570
  • Obalola OT, Tanko L, Aboaba KO, Abubakar BB, Odum EEB, Agboola BO, Ibrahim KH, Audu RO, Danilola ST. 2021. Determinants of food demand among urban households in Minna Metropolis, Niger State, Nigeria. J Agri Nat Resour, 4(2): 175-185. https://doi.org/10.3126/janr.v4i2.33739
  • Oladimeji YU, Yusuf HO, Yusuf S, Abdulsalam Z. 2018. Cost and calorie analysis of food consumption in artisanal fishery households in North-Western and North-Central Nigeria. FUOYE J Eng Technol, 3(1): 90-96. https://doi.org/10.46792/fuoyejet.v3i1.165
  • Piatti W, Piatte RS, Caumo RE. 1994. Hypocaloric high protein diet improves glucose oxidation and spares lean body mass: Comparison to hypocaloric high carbohydrate diet. Metabolism, 43(12): 1481-1487.
  • Pieters H, Guariso A, Vandeplas A. 2013. Conceptual framework for the analysis of the determinants of food and nutrition security. Food Sec Work, 13: 1-51.
  • Rono PK, Rahman S, Benaissa C. 2017. An analysis of demand for roots and tubers in Kenya using the linear approximation almost ideal demand system (LA-AIDS). Annual meeting, Southern Agricultural Economics Association, February 4-7, Alabama, USA, pp: 143. https://doi.org/10.22004/ag.econ.252786
  • Rozi F, Krisdiana R, Sutrisno I. 2021. Pattern of cassava demand as the promising commodity in the future. 1st International Conference on Sustainable Agricultural Socio-Economics, Agribusiness, and Rural Development (ICSASARD), Atlantis Press, 199: 31-36.
  • Strauss J. 1984. Joint determinants of food consumption and production in rural Sierra Leone: Estimates of household-firm model. J Devel Econ, 14(1): 77-113.
  • Subramamian S, Deaton A. 1996. The demand for food and calories. J Pol Econ, 104(1): 113-163.
  • Tsegai D, Kormawa PC. 2002. Determinants of urban household demand for cassava products in Kaduna, Northern Nigeria. Conference of International Research for Development, October 9-10, Witzenhanston, Germany, pp: 63.
  • Tsegai D, Kormawa PC. 2009. Determinants of urban household demand for cassava products in Kaduna, Northern Nigeria. Eur J Devel Res, 21(3): 435-447. https://doi.org/10.1057/ejdr.2009.15.
  • USCB. 2021. United States Census Bureau: Equivalence adjustment of income. URL= https://www.census.gov/topics/income-poverty/income-inequality/about/metrics/equivalence.html (accessed date: October 27, 2023).
  • Zhao J, Huang J, Nie F. 2022. The income elasticities of food, calories, and nutrients in China: A meta-analysis. Nutrients, 14(22): 4711. https://doi.org/10.3390/nu14224711
There are 35 citations in total.

Details

Primary Language English
Subjects Zootechny (Other)
Journal Section Research Articles
Authors

Micheal Ige Ediabai Edaba 0000-0002-3847-5891

Adeyinka Richard Aroyehun 0000-0002-9117-8263

Grant Chukwuemeka Onyenma 0009-0005-1573-5346

Favour Chinomnso Edaba 0009-0000-9506-4661

Publication Date September 15, 2024
Submission Date April 7, 2024
Acceptance Date August 22, 2024
Published in Issue Year 2024 Volume: 7 Issue: 5

Cite

APA Edaba, M. I. E., Aroyehun, A. R., Onyenma, G. C., Edaba, F. C. (2024). Consumption Estimates of Food Calories in Port Harcourt Households, South-South Nigeria: LA/AIDS Approach. Black Sea Journal of Agriculture, 7(5), 497-504. https://doi.org/10.47115/bsagriculture.1466167

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