IDEAS home Printed from https://ideas.repec.org/p/ags/cmpart/243469.html
   My bibliography  Save this paper

Determinants of Household Resilience to Dry Spells and Drought in Malawai: A Case of Chipoka

Author

Listed:
  • Francisco Banda, Taonga

Abstract

The study was aimed at identifying key factors that enhance resilience to prolonged dry spells and droughts among smallholder farmers in Chipoka Extension Planning Area (EPA) in the lakeshore district of Salima. The study area was selected because it experiences dry spells on a regular basis. The major contribution of this study is the construction of the Drought Resilience Index (DRI), which was used as a measure of drought resilience, and its use to determine the effect of resilience on the welfare of the farming families. Realising that smallholder farmers are not passive but active in responding to events that threaten their livelihoods, the study was aimed at identifying how factors such as household assets, social capital, size of land held by the farming household, among other factors help the farmers to absorb effects resulting from the effects of prolonged dry spells and droughts. The analytical framework used in the study assumed that resilience of a given household at a given time depends primarily on the options available to that household for making a living, which in turn affect the response of the household to adverse occurrences. Households whose options are stable and have a high adaptive capacity are said to be more resilient than those whose options are unstable and have less adaptive capacity. The study used principal component analysis (PCA) to reduce changes in actual household consumption and the number of months a household remains with food in normal and drought years to come up with the drought resilience index (DRI). To capture the effect of drought on farmers’ welfare, a stochastic frontier production function was estimated with output as the dependent variable and the drought resilience index among the explanatory variables. Results of the study reveal that most households in Chipoka were not resilient to effects of dry spells and that factors such as age of the household head, size of the farm family, land holding size, number of immediate family members living outside the household are vi some of the factors that affect the resilience of farming households. The study also found that households that were resilient to dry spells were likely to have improved farm household welfare. The study recommends promotion of productivity enhancing technologies. Another recommendation calls for promotion of drought resistant crops and diversification into off-farm economic activities. For state and non-state actors working in the study area, a recommendation is made that they must target their aid efficiently to achieve the intended purpose in enhancing resilience.

Suggested Citation

  • Francisco Banda, Taonga, 2015. "Determinants of Household Resilience to Dry Spells and Drought in Malawai: A Case of Chipoka," Research Theses 243469, Collaborative Masters Program in Agricultural and Applied Economics.
  • Handle: RePEc:ags:cmpart:243469
    DOI: 10.22004/ag.econ.243469
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/243469/files/Taonga_Banda_Final_Thesis.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.243469?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. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    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. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    2. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    3. Tom Kompas & Tuong Nhu Che & R. Quentin Grafton, 2004. "Technical efficiency effects of input controls: evidence from Australia's banana prawn fishery," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1631-1641.
    4. Richard A. Hofler & John A. List, 2004. "Valuation on the Frontier: Calibrating Actual and Hypothetical Statements of Value," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 213-221.
    5. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    6. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    7. Subhash C. Ray, 2004. "A Simple Statistical Test of Violation of the Weak Axiom of Cost Minimization," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 39(1), pages 111-121, January.
    8. Andriakopoulos, Konstantinos & Ladas, Augoustinos & Andriakopoulos, Panagiotis, 2020. "Bank efficiency and leasing in U.S.A. banking system," MPRA Paper 112645, University Library of Munich, Germany.
    9. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    10. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    11. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    12. Kwan, Simon H., 2006. "The X-efficiency of commercial banks in Hong Kong," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1127-1147, April.
    13. repec:lan:wpaper:4471 is not listed on IDEAS
    14. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    15. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    16. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    17. Wu, Yanrui, 1995. "The productive efficiency of Chinese iron and steel firms A stochastic frontier analysis," Resources Policy, Elsevier, vol. 21(3), pages 215-222, September.
    18. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    19. Kui-Wai Li & Tung Liu & Lihong Yun, 2007. "Technology Progress, Efficiency, and Scale of Economy in Post-reform China," Working Papers 200701, Ball State University, Department of Economics, revised Apr 2007.
    20. Firna Varina & Sri Hartoyo & Nunung Kusnadi & Amzul Rifin, 2020. "The Determinants of Technical Efficiency of Oil Palm Smallholders in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 89-93.
    21. Rossi, Martín, 2000. "Análisis de eficiencia aplicado a la regulación ¿Es importante la Distribución Elegida para el Término de Ineficiencia?," UADE Textos de Discusión 22_2000, Instituto de Economía, Universidad Argentina de la Empresa.

    More about this item

    Keywords

    Consumer/Household Economics; Environmental Economics and Policy;

    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:cmpart:243469. 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: http://www.agriculturaleconomics.net .

    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.