IDEAS home Printed from https://ideas.repec.org/a/ags/ajosrd/342280.html
   My bibliography  Save this article

Impact of Urban Agriculture on Household Income in Zambia: An Economic Analysis

Author

Listed:
  • Mupeta, Mavis
  • Kuntashula, Elias
  • Kalinda, Thomson

Abstract

The study aimed to empirically determine the impact of urban agriculture on household income in Zambia. The analysis was based on the 2007/2008 Urban Consumption/ Expenditure secondary data collected in Kitwe and Lusaka districts, with a total sample size of 2,682 urban households. The propensity score matching approach is used to estimate the impact of urban agriculture on household income since the method takes into account the systematic differences in socio-economic characteristics between the urban agriculture practicing and non-practicing households by matching from both groups with similar characteristics. Results indicate that urban agriculture has a significant positive effect on household income. The income of households that practiced urban agriculture increased by 13.7% to 19.1%. It implies that urban agriculture has the potential to improve household livelihood through enhanced income.

Suggested Citation

  • Mupeta, Mavis & Kuntashula, Elias & Kalinda, Thomson, 2020. "Impact of Urban Agriculture on Household Income in Zambia: An Economic Analysis," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 10(02), January.
    • Handle: RePEc:ags:ajosrd:342280
    DOI: 10.22004/ag.econ.342280
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/342280/files/Impact%20of%20Urban%20Agriculture%20on%20Household%20Income%20in%20Zambia%20An%20Economic%20Analysis.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.342280?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. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    Full references (including those not matched with items on IDEAS)

    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. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    3. Rajeev Dehejia, 2013. "The Porous Dialectic: Experimental and Non-Experimental Methods in Development Economics," WIDER Working Paper Series wp-2013-011, World Institute for Development Economic Research (UNU-WIDER).
    4. Kölling, Arnd, 2013. "Wirtschaftsförderung, Produktivität und betriebliche Arbeitsnachfrage - Eine Kausalanalyse mit Betriebspaneldaten -," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79843, Verein für Socialpolitik / German Economic Association.
    5. Iacus, Stefano M. & Porro, Giuseppe, 2007. "Missing data imputation, matching and other applications of random recursive partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 773-789, October.
    6. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    7. Islam, Asadul & Nguyen, Chau & Smyth, Russell, 2015. "Does microfinance change informal lending in village economies? Evidence from Bangladesh," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 141-156.
    8. Aki Kangasharju, 2007. "Do Wage Subsidies Increase Employment in Subsidized Firms?," Economica, London School of Economics and Political Science, vol. 74(293), pages 51-67, February.
    9. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    10. Yechan Park & Yuya Sasaki, 2024. "Matching $\leq$ Hybrid $\leq$ Difference in Differences," Papers 2411.07952, arXiv.org, revised Feb 2025.
    11. Frölich, Markus & Michaelowa, Katharina, 2004. "Peer effects and textbooks in primary education: Evidence from francophone sub-Saharan Africa," HWWA Discussion Papers 311, Hamburg Institute of International Economics (HWWA).
    12. Polyakov, Maksym & Iftekhar, Md Sayed & Fogarty, James & Buurman, Joost, 2022. "Renewal of waterways in a dense city creates value for residents," Ecological Economics, Elsevier, vol. 199(C).
    13. Hujer, Reinhard & Thomsen, Stephan L., 2010. "How do the employment effects of job creation schemes differ with respect to the foregoing unemployment duration?," Labour Economics, Elsevier, vol. 17(1), pages 38-51, January.
    14. Tatsuo Ushijima, 2016. "Diversification, Organization, and Value of the Firm," Financial Management, Financial Management Association International, vol. 45(2), pages 467-499, May.
    15. Juan Díaz & Miguel Jaramillo, 2006. "An Evaluation of the Peruvian "Youth Labor Training Program"-PROJOVEN," OVE Working Papers 1006, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    16. Ravallion, Martin & Galasso, Emanuela & Lazo, Teodoro & Philipp, Ernesto, 2001. "Do workfare participants recover quickly from retrenchment?," Policy Research Working Paper Series 2672, The World Bank.
    17. Aydemir, Abdurrahman B. & Kırdar, Murat G., 2017. "Quasi-experimental impact estimates of immigrant labor supply shocks: The role of treatment and comparison group matching and relative skill composition," European Economic Review, Elsevier, vol. 98(C), pages 282-315.
    18. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    19. Paweł Strawiński, 2013. "Controlling for overlap in matching," Working Papers 2013-10, Faculty of Economic Sciences, University of Warsaw.
    20. Romi Kher & Shu Yang & Scott L. Newbert, 2023. "Accelerating emergence: the causal (but contextual) effect of social impact accelerators on nascent for-profit social ventures," Small Business Economics, Springer, vol. 61(1), pages 389-413, June.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:ajosrd:342280. 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/aesstea.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.