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Determinants of Household Demand for Fresh Fruit and Vegetable in Nigeria: A Double Hurdle Approach

Author

Listed:
  • Ogundari, Kolawole
  • Arifalo, Sadiat Funmilayo
Abstract
The study investigates separately demand characteristics of consuming healthy food such as fresh fruit and vegetable (FV) based on the 2003/2004 Nigeria Living Standard Survey (NLSS) data. It uses the double-hurdle model that allows the analysis of both the decisions to consume and the demand for FV to differ. The empirical results show that an average household in the sample considered the demand for FV to be luxury good. But a closer look at the results across income groups show that households in the low and high-income groups considered the demand for fresh fruit to be necessity and luxury goods, respectively, while all households irrespective of which income groups they belong considered the demand for fresh vegetable to be luxury good in the study. Our results also imply that the demand for FV is higher among households with younger members, compared to households with older members. Regional differences in the demand for FV are also evident in the study.

Suggested Citation

  • Ogundari, Kolawole & Arifalo, Sadiat Funmilayo, 2013. "Determinants of Household Demand for Fresh Fruit and Vegetable in Nigeria: A Double Hurdle Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(3), pages 1-18, August.
  • Handle: RePEc:ags:qjiage:173646
    DOI: 10.22004/ag.econ.173646
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    References listed on IDEAS

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    1. Dunn, Richard A. & Dean, Wesley R. & Johnson, Cassandra M. & Leidner, Andrew J. & Sharkey, Joseph R., 2012. "The Effect of Distance and Cost on Fruit and Vegetable Consumption in Rural Texas," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(4), pages 1-10, November.
    2. Ariun Ishdorj & Mary Kay Crepinsek & Helen H. Jensen, 2013. "Children's Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choices at School and Away from School?," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(2), pages 341-359.
    3. Yen, Steven T & Jensen, Helen H & Wang, Qingbin, 1996. "Cholesterol Information and Egg Consumption in the US: A Nonnormal and Hetroscedastic Double-Hurdle Model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(3), pages 343-356.
    4. Niu, Luyuan & Wohlgenant, Michael, 2013. "Subsidizing Fruits and Vegetables by Income Group: A Two-Stage Budgeting Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149248, Agricultural and Applied Economics Association.
    5. Richard Tiffin & Matthieu Arnoult, 2010. "The demand for a healthy diet: estimating the almost ideal demand system with infrequency of purchase," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(4), pages 501-521, December.
    6. Jones, Andrew M, 1992. "A Note on Computation of the Double-Hurdle Model with Dependence with an Application to Tobacco Expenditure," Bulletin of Economic Research, Wiley Blackwell, vol. 44(1), pages 67-74, January.
    7. David Aristei & Federico Perali & Luca Pieroni, 2008. "Cohort, age and time effects in alcohol consumption by Italian households: a double-hurdle approach," Empirical Economics, Springer, vol. 35(1), pages 29-61, August.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. Catherine Durham & James Eales, 2010. "Demand elasticities for fresh fruit at the retail level," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1345-1354.
    10. Meng, Ting & Florkowski, Wojciech J. & Sarpong, Daniel & Resurreccion, Anna V. A. & Chinnan, Manjeet, 2013. "Determinants of Fresh Vegetable, Fresh Fruit and Peanut Products Expenditure in Urban Households in Ghana," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149000, Agricultural and Applied Economics Association.
    11. Liu, Miaoru & Kasteridis, Panagiotis & Yen, Steven T., 2013. "Breakfast, lunch, and dinner expenditures away from home in the United States," Food Policy, Elsevier, vol. 38(C), pages 156-164.
    12. Tafere, Kibrom & Taffesse, Alemayehu Seyoum & Tamru, Seneshaw & Tefera, Nigussie & Paulos, Zelekawork, 2011. "Food demand elasticities in Ethiopia: Estimates using household income consumption expenditure (HICE) survey data," ESSP working papers 11, International Food Policy Research Institute (IFPRI).
    13. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    14. Marc Ground & Steven F. Koch, 2007. "Hurdle Models of Alcohol and Tobacco Expenditure in South African Households," Working Papers 200703, University of Pretoria, Department of Economics.
    15. Craig A. Gallet, 2010. "Meat Meets Meta: A Quantitative Review of the Price Elasticity of Meat," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 258-272.
    16. Angulo, Ana Maria & Gil, Jose Maria & Gracia, Azucena, 2001. "The demand for alcoholic beverages in Spain," Agricultural Economics, Blackwell, vol. 26(1), pages 71-83, October.
    17. Garcia, Jaume & Labeaga, Jose M, 1996. "Alternative Approaches to Modelling Zero Expenditure: An Application to Spanish Demand for Tobacco," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 489-506, August.
    18. Junfei Bai & Caiping Zhang & Fangbin Qiao & Tom Wahl, 2012. "Disaggregating household expenditures on food away from home in Beijing by type of food facility and type of meal," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 18-35, January.
    19. William J. Burke, 2009. "Fitting and interpreting Cragg's tobit alternative using Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 584-592, December.
    20. Keelan, Conor D. & Henchion, Maeve M. & Newman, Carol F., 2006. "A double-hurdle model of Irish households' foodservice expenditure patterns," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10083, European Association of Agricultural Economists.
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    2. Clement O. Codjia & Sayed H. Saghaian, 2022. "Determinants of Food Expenditure Patterns: Evidence from U.S. Consumers in the Context of the COVID-19 Price Shocks," Sustainability, MDPI, vol. 14(13), pages 1-17, July.
    3. Rossini, Gustavo & Vicentin, Jimena & Depetris, Edith, 2015. "Household Cheese Consumption in Argentina: A Double-Hurdle Model Estimation," 143rd Joint EAAE/AAEA Seminar, March 25-27, 2015, Naples, Italy 202739, European Association of Agricultural Economists.
    4. Obisesan, Adekemi, 2021. "Households’ Demand for Fruits and Vegetables in Nigeria: Panel QUAIDS Approach," 2021 Conference, August 17-31, 2021, Virtual 315858, International Association of Agricultural Economists.

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