IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v125y2016i2p567-587.html
   My bibliography  Save this article

Relationship Between Household Food Poverty and Vulnerability to Food Poverty: Evidence from Nigeria

Author

Abstract

Poverty and vulnerability to poverty are major challenges facing developing countries and have attracted the attention of development economists and policy analysts in recent years. This study examined the relationship between household food poverty and vulnerability to food poverty in Nigeria based on data from Nigeria Living Standard Survey (NLSS) (2004) obtained from the National Bureau of Statistics. A least-cost technique associated with the food-energy-intake approach was used to compute zone-specific food poverty lines based on the food baskets common to each geo-political zone; the Foster–Greer–Thorbecke (FGT) poverty index was used in computing food poverty incidence; the three-step feasible generalised least squares (3FGLS) procedure was used in estimating the magnitude of vulnerability to food poverty; cross tabulation and Pearson’s product moment correlation coefficient were utilised for the purpose of analysing the association between household food poverty and vulnerability to food poverty. The food poverty incidence was 50.23 % while the vulnerability to food poverty incidence was 61.68 % and the vulnerability to food poverty/food poverty ratio was 1.228. The food poor were more vulnerable to food poverty than the non food poor. There was significant positive correlation between food poverty incidence and vulnerability to food poverty incidence even though the correlation was not very strong. Thus, policies and programmes that will optimally reduce food poverty and vulnerability to food poverty should be adopted in Nigeria; these should be targeted more on the food poor. This is a major way to break the yoke of underdevelopment in Nigeria. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Uche Ozughalu, 2016. "Relationship Between Household Food Poverty and Vulnerability to Food Poverty: Evidence from Nigeria," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 125(2), pages 567-587, January.
  • Handle: RePEc:spr:soinre:v:125:y:2016:i:2:p:567-587
    DOI: 10.1007/s11205-014-0845-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11205-014-0845-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11205-014-0845-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Francis Nathan Okurut & Jonathan J.A.O. Odwee & Asaf Adebua, 2002. "Determinants of regional poverty in Uganda," Working Papers 122, African Economic Research Consortium, Research Department.
    2. Kyereme, Stephen S. & Thorbecke, Erik, 1987. "Food poverty profile and decomposition applied to Ghana," World Development, Elsevier, vol. 15(9), pages 1189-1199, September.
    3. Ethan Ligon & Laura Schechter, 2003. "Measuring Vulnerability," Economic Journal, Royal Economic Society, vol. 113(486), pages 95-102, March.
    4. Magne Mogstad & Audun Langørgen & Rolf Aaberge, 2007. "Region-specific versus country-specific poverty lines in analysis of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 5(1), pages 115-122, April.
    5. Quentin Wodon, 1999. "Regional poverty lines, poverty profiles, and targeting," Applied Economics Letters, Taylor & Francis Journals, vol. 6(12), pages 809-812.
    6. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    7. Pritchett, Lant & Suryahadi, Asep & Sumarto, Sudarno, 2000. "Quantifying vulnerability to poverty - a proposed measure, applied to Indonesia," Policy Research Working Paper Series 2437, The World Bank.
    8. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-1343, September.
    9. Hoddinott, John & Quisumbing, Agnes, 2003. "Methods for microeconometric risk and vulnerability assessments," Social Protection Discussion Papers and Notes 29138, The World Bank.
    10. Greer, Joel & Thorbecke, Erik, 1986. "Food Poverty Profile Applied to Kenyan Smallholders," Economic Development and Cultural Change, University of Chicago Press, vol. 35(1), pages 115-141, October.
    11. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-231, March.
    12. Greer, Joel & Thorbecke, Erik, 1986. "A methodology for measuring food poverty applied to Kenya," Journal of Development Economics, Elsevier, vol. 24(1), pages 59-74, November.
    13. Raghbendra Jha & Tu Dang, 2010. "Vulnerability to Poverty in Papua New Guinea in 1996," Asian Economic Journal, East Asian Economic Association, vol. 24(3), pages 235-251, September.
    14. Victor E. Smith, 1959. "Linear Programming Models for the Determination of Palatable Human Diets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 41(2), pages 272-283.
    15. George J. Stigler, 1945. "The Cost of Subsistence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(2), pages 303-314.
    16. Magee, L. & Robb, A. L. & Burbidge, J. B., 1998. "On the use of sampling weights when estimating regression models with survey data," Journal of Econometrics, Elsevier, vol. 84(2), pages 251-271, June.
    17. World Bank, 2012. "World Development Indicators 2012," World Bank Publications - Books, The World Bank Group, number 6014, December.
    18. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
    19. World Bank, 2009. "World Development Indicators 2009," World Bank Publications - Books, The World Bank Group, number 4367, December.
    20. World Bank, 2006. "World Development Indicators 2006," World Bank Publications - Books, The World Bank Group, number 8151, December.
    21. World Bank, 2013. "World Development Indicators 2013," World Bank Publications - Books, The World Bank Group, number 13191, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zereyesus, Yacob & Tsiboe, Francis & Embaye, Weldensie, 2016. "The Effect of Shocks and Remittances on Household’s Vulnerability to Food Poverty: Evidence from Bangladesh," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236199, Agricultural and Applied Economics Association.
    2. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    3. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Living on the edge: Household vulnerability to food-insecurity in the Punjab, Pakistan," Food Policy, Elsevier, vol. 64(C), pages 1-13.
    4. Isaac Koomson & Renato A. Villano & David Hadley, 2020. "Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 613-639, June.
    5. Godstime Osekhebhen Eigbiremolen & Jonathan Emenike Ogbuabor, 2018. "Measurement and Determinants of Food Poverty: A Dynamic Analysis of Nigeria's First Panel Survey Data," African Development Review, African Development Bank, vol. 30(4), pages 423-433, December.
    6. Zhengjie Zhang & Jiahao Song & Caixia Yan & Dingde Xu & Wei Wang, 2022. "Rural Household Differentiation and Poverty Vulnerability: An Empirical Analysis Based on the Field Survey in Hubei, China," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    7. Angela C. Lyons & Josephine Kass‐Hanna & Alejandro Montoya Castano, 2023. "A multidimensional approach to measuring vulnerability to poverty among refugee populations," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 2014-2045, October.
    8. Sayema Haque Bidisha & Tanveer Mahmood & Md. Biplob Hossain, 2021. "Assessing Food Poverty, Vulnerability and Food Consumption Inequality in the Context of COVID-19: A Case of Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 187-210, May.
    9. Jing Su & Liwei Tang & Pan Xiao & Ermei Wang, 2023. "Multidimensional poverty vulnerability in rural China," Empirical Economics, Springer, vol. 64(2), pages 897-930, February.
    10. Khac Linh Bui & Thanh Hang Bui, 2022. "Does Rural Credit Mediate Vulnerability Under Idiosyncratic and Covariate Shocks? Empirical Evidence from Vietnam Using a Multilevel Model," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(1), pages 172-224, February.
    11. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2018. "Reducing Food Poverty and Vulnerability among the Rural Elderly with Chronic Diseases: The Role of the New Rural Pension Scheme in China," IJERPH, MDPI, vol. 15(6), pages 1-20, June.
    12. Zhaohua Zhang & Yuxi Luo & Derrick Robinson, 2020. "Do Social Pensions Help People Living on the Edge? Assessing Determinants of Vulnerability to Food Poverty Among the Rural Elderly," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(1), pages 198-219, January.
    13. Million Sileshi & Reuben Kadigi & Khamaldin Mutabazi & Stefan Sieber, 2019. "Analysis of households’ vulnerability to food insecurity and its influencing factors in East Hararghe, Ethiopia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-17, December.
    14. Shu Guo & Xiaoying Li & Ning Cao & Ying Wang, 2023. "The Impact of Rural Tourism on the Poverty Vulnerability of Aging Rural Households," Sustainability, MDPI, vol. 15(8), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Uche M. Ozughalu & Fidelis O. Ogwumike, 2013. "Vulnerability to Food Poverty in Nigeria," African Development Review, African Development Bank, vol. 25(3), pages 243-255, September.
    2. Mauricio Gallardo, 2018. "Identifying Vulnerability To Poverty: A Critical Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1074-1105, September.
    3. Celidoni, Martina, 2011. "Vulnerability to poverty: An empirical comparison of alternative measures," MPRA Paper 33002, University Library of Munich, Germany.
    4. Emiliano Magrini & Pierluigi Montalbano, 2012. "Trade openness and vulnerability to poverty: Vietnam in the long-run (1992-2008)," Working Paper Series 3512, Department of Economics, University of Sussex Business School.
    5. Maike Hohberg & Katja Landau & Thomas Kneib & Stephan Klasen & Walter Zucchini, 2018. "Vulnerability to poverty revisited: Flexible modeling and better predictive performance," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(3), pages 439-454, September.
    6. Muhammad Masood Azeem & Amin W. Mugera & Steven Schilizzi & Kadambot H. M. Siddique, 2017. "An Assessment of Vulnerability to Poverty in Punjab, Pakistan: Subjective Choices of Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 117-152, October.
    7. Cissé, Jennifer Denno & Barrett, Christopher B., 2018. "Estimating development resilience: A conditional moments-based approach," Journal of Development Economics, Elsevier, vol. 135(C), pages 272-284.
    8. James Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster–Greer–Thorbecke (FGT) poverty measures: 25 years later," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 491-524, December.
    9. Francisco J. Ciocchini & Gabriel Molteni, 2008. "Medidas alternativas de la pobreza en el Gran Buenos Aires, 1995-2006," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 1(2), pages 46-82, Octubre.
    10. Mohiburrahman Iqbal, 2013. "Vulnerability to expected poverty in Afghanistan," ASARC Working Papers 2013-14, The Australian National University, Australia South Asia Research Centre.
    11. Samuel Fambon, 2005. "Croissance économique, pauvreté et inégalité des revenus au Cameroun," Revue d’économie du développement, De Boeck Université, vol. 13(1), pages 91-122.
    12. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Poverty and vulnerability in the Punjab, Pakistan: A multilevel analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 57-72.
    13. Zereyesus, Yacob & Embaye, Weldensie & Tsiboe, Francis & Amanor-Boadu, Vincent, 2016. "Participation in non-farm work and vulnerability to food poverty of households in northern Ghana," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235741, Agricultural and Applied Economics Association.
    14. Günther, Isabel & Harttgen, Kenneth, 2009. "Estimating Households Vulnerability to Idiosyncratic and Covariate Shocks: A Novel Method Applied in Madagascar," World Development, Elsevier, vol. 37(7), pages 1222-1234, July.
    15. Jhon Edwar Hernández & Blanca Zuluaga, 2022. "Vulnerability to Multidimensional Poverty: An Application to Colombian Households," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(1), pages 345-371, November.
    16. Sayema Haque Bidisha & Tanveer Mahmood & Md. Biplob Hossain, 2021. "Assessing Food Poverty, Vulnerability and Food Consumption Inequality in the Context of COVID-19: A Case of Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 187-210, May.
    17. James E. Foster & Joel Greer & Erik Thorbecke, 2010. "The Foster-Greer-Thorbecke (FGT) Poverty Measures: Twenty-Five Years Later," Working Papers 2010-14, The George Washington University, Institute for International Economic Policy.
    18. Hill, Ruth Vargas & Porter, Catherine, 2017. "Vulnerability to Drought and Food Price Shocks: Evidence from Ethiopia," World Development, Elsevier, vol. 96(C), pages 65-77.
    19. Tomoki Fujii, 2016. "Concepts and measurement of vulnerability to poverty and other issues: a review of literature," Chapters, in: Jacques Silber & Guanghua Wan (ed.), The Asian ‘Poverty Miracle’, chapter 3, pages 53-83, Edward Elgar Publishing.
    20. Sami Bibi, "undated". "A WelFare Analysis of the Price System Reforms's Effects on Poverty in Tunisia," API-Working Paper Series 9902, Arab Planning Institute - Kuwait, Information Center.

    More about this item

    Keywords

    Vulnerability; Food poverty; Feasible generalised least squares; Nigeria; C21; C61; I32; O10; R20;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:125:y:2016:i:2:p:567-587. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.