IDEAS home Printed from https://ideas.repec.org/p/ags/aaea12/124638.html
   My bibliography  Save this paper

Food Expenditures and Income in Rural Households in the Northern Region of Ghana

Author

Listed:
  • Meng, Ting
  • Florkowski, Wojciech J.
  • Kolavalli, Shashidhara
  • Ibrahim, Mohammed

Abstract

The objective of this paper is to identify which household factors and farm features determine the farm income in the rural households in the Northern Region of Ghana, and further to examine how farm income, nonfarm income and other socio-demographic factors affect the household fresh vegetable expenditure. The simultaneous equation model is applied to explore the interacting relationship between farm income and the fresh vegetable expenditure. The results indicate that the farm features such as cultivation of staple crops, total number of acres under groundnut cultivation, and the number of bullocks are the major determinants of the farm income, while the socio-demographic factors such as the nonfarm income, education, household composition, age, and gender of the household head significantly affect the fresh vegetable expenditure in the rural households.

Suggested Citation

  • Meng, Ting & Florkowski, Wojciech J. & Kolavalli, Shashidhara & Ibrahim, Mohammed, 2012. "Food Expenditures and Income in Rural Households in the Northern Region of Ghana," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124638, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124638
    DOI: 10.22004/ag.econ.124638
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/124638/files/Tina--AAEA--submit.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.124638?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
    ---><---

    References listed on IDEAS

    as
    1. Han, Tong & Wahl, Thomas I., 1998. "China'S Rural Household Demand For Fruit And Vegetables," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(01), pages 1-10, July.
    2. Babatunde, Raphael O. & Qaim, Matin, 2010. "Impact of off-farm income on food security and nutrition in Nigeria," Food Policy, Elsevier, vol. 35(4), pages 303-311, August.
    3. Möllers Judith & Fritzsch Jana & Buchenrieder Gertrud, 2008. "Farm and Non-farm Incomes of Rural Households in Slovenia Canonical Correlation Analysis," South East European Journal of Economics and Business, Sciendo, vol. 3(2), pages 39-48, November.
    4. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    5. Patrice Bertail & France Caillavet, 2008. "Fruit and Vegetable Consumption Patterns: A Segmentation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 827-842.
    6. Mauricio V.L. Bittencourt & Ratapol P. Teratanavat & Wen S. Chern, 2007. "Food consumption and demographics in Japan: Implications for an aging population," Agribusiness, John Wiley & Sons, Ltd., vol. 23(4), pages 529-551.
    7. Frazão, Elizabeth, 1992. "Food Spending by Female-Headed Households," Technical Bulletins 157029, United States Department of Agriculture, Economic Research Service.
    8. Donald R. McDowell & Joyce E. Allen-Smith & Patricia E. McLean-Meyinsse, 1997. "Food Expenditures and Socioeconomic Characteristics: Focus on Income Class," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(5), pages 1444-1451.
    9. Xiaohua Yu & David Abler, 2009. "The Demand for Food Quality in Rural China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 57-69.
    10. Gale, H. Frederick, Jr. & Huang, Kuo S., 2007. "Demand For Food Quantity And Quality In China," Economic Research Report 7252, United States Department of Agriculture, Economic Research Service.
    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. Asante, S. B. & Osei-Asare, Y. B. & Kuwornu, J. K. M., . "Smallholder Maize Farmers’ Food Consumption Expenditures in Ghana: The Mediating Role of Commercialization," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(3), pages 1-15.
    2. Fiedler, John L. & Mwangi, Dena M., 2016. "Improving household consumption and expenditure surveys’ food consumption metrics: Developing a strategic approach to the unfinished agenda," IFPRI discussion papers 1570, International Food Policy Research Institute (IFPRI).
    3. Traore, Breima & Traore, Anna, . "Determinants of Household Food Expenditure in Mali: A Quintile Regression Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 11(01).
    4. Mwangi, Dena M. & Fiedler, John L. & Sununtnasuk, Celeste, 2017. "Exploring extensions of the Subramanian–Deaton cost per calorie approach: Imputing nutrient intake from foods prepared and consumed away from home and other composite foods," IFPRI discussion papers 1596, International Food Policy Research Institute (IFPRI).
    5. Liu, Haiyan & Wahl, Thomas I. & Seale, James L. & Bai, Junfei, 2015. "Household composition, income, and food-away-from-home expenditure in urban China," Food Policy, Elsevier, vol. 51(C), pages 97-103.
    6. Ebenezer Lemven Wirba & Francis Menjo Baye, 2016. "Accounting for Urban-Rural Real Food Expenditure Differentials in Cameroon: A Quantile Regression-Based Decomposition," EuroEconomica, Danubius University of Galati, issue 2(35), pages 61-77, November.
    7. Fiedler, John L. & Mwangi, Dena M., 2016. "Using household consumption and expenditure surveys to make inferences about food consumption, nutrient intakes and nutrition status: How important is it to adjust for meal partakers?," IFPRI discussion papers 1571, International Food Policy Research Institute (IFPRI).

    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. Meng, Ting & Florkowski, Wojciech J. & Sarpong, Daniel B. & Chinnan, Manjeet S. & Resurreccion, Anna V.A., . "Consumer’s Food Shopping Choice in Ghana: Supermarket or Traditional Outlets?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 17(A), pages 1-24.
    2. Zijun Luo & Xu Tian, 2018. "Can China’s meat imports be sustainable? A case study of mad cow disease," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 1022-1042, February.
    3. Hovhannisyan, Vardges & Shanoyan, Aleksan, "undated". "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    4. Vardges Hovhannisyan & Sachintha Mendis & Chris Bastian, 2019. "An econometric analysis of demand for food quantity and quality in urban China," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 3-13, January.
    5. De Zhou & Xiaohua Yu & Thomas Herzfeld, 2015. "Dynamic food demand in urban China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 7(1), pages 27-44, February.
    6. Jing You, 2014. "Dietary change, nutrient transition and food security in fast-growing China," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 9, pages 204-245, Edward Elgar Publishing.
    7. Choudhury, Samira & Headey, Derek D., 2016. "What drives diversification of national food supplies? A cross-country analysis," IFPRI discussion papers 1581, International Food Policy Research Institute (IFPRI).
    8. Tian, Xu & Yu, Xiaohua & Holst, Rainer, 2011. "Applying the payment card approach to estimate the WTP for green food in China," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 23, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    9. Nie, Wenjing & Abler, David & Li, Taiping, 2021. "Grading attribute selection of China's grading system for agricultural products: What attributes benefit consumers more?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    10. Mendis, Sachintha & Hovhannisyan, Vardges, "undated". "Assessing Provincial-Level Demand For Food Quantity And Quality In China: An Easi Demand System Approach," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252797, Southern Agricultural Economics Association.
    11. Satoru Shimokawa & Dezhuang Hu & Dandan Li & Hong Cheng, 2021. "The urban–rural gap in the demand for food safety in China: The role of food label knowledge," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 175-193, March.
    12. Nie, Wenjing & Li, Taiping & Zhu, Liqun, 2020. "Market demand and government regulation for quality grading system of agricultural products in China," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    13. Kehlbacher, Ariane & Arnoult, Matthieu & Srinivasan, Chittur & McCloy, Rachel & Tiffin, Richard, 2015. "Food preference segmentation using an AIDS mixture: An application to the UK," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205461, Agricultural and Applied Economics Association.
    14. Arnoult, Matthieu H. & Kehlbacher, Ariane & Srinivasan, C.S. & McCloy, Rachel & Tiffin, Richard, 2015. "Food Preferences Segmentation Using An Aids/Mixture Approach," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204239, Agricultural Economics Society.
    15. Vardges Hovhannisyan & Aleksan Shanoyan, 2020. "An Empirical Analysis of the Welfare Consequences of Rising Food Prices in Urban China: The Easi Approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 796-814, December.
    16. Tian, Xu & Yu, Xiaohua, 2015. "Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China," Food Policy, Elsevier, vol. 53(C), pages 67-81.
    17. Abdoul G. Sam & Babatunde O. Abidoye & Sihle Mashaba, 2021. "Climate change and household welfare in sub-Saharan Africa: empirical evidence from Swaziland," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 439-455, April.
    18. Jan Fałkowski & Maciej Jakubowski & Paweł Strawiński, 2014. "Returns from income strategies in rural Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 139-178, January.
    19. Richard Adu-Gyamfi & John Kuada & Simplice A. Asongu, 2023. "An Integrative Framework for Formal and Informal Entrepreneurship Research in Africa," Journal of African Business, Taylor & Francis Journals, vol. 24(2), pages 167-187, April.
    20. Adu-Gyamfi, Richard & Kuada, John & Asongu, Simplice, 2018. "An Integrative Framework for Entrepreneurship Research in Africa," MPRA Paper 89133, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea12:124638. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.