IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v43y2013icp44-55.html
   My bibliography  Save this article

Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching

Author

Listed:
  • Gitonga, Zachary M.
  • De Groote, Hugo
  • Kassie, Menale
  • Tefera, Tadele

Abstract

Maize is the most important food staple in Eastern and Southern Africa, with a highly seasonal production but relatively constant consumption over the year. Farmers have to store maize to bridge seasons, for food security and to protect against price fluctuations. However, the traditional storage methods do not protect grain well, resulting in large postharvest losses. Hermetically sealed metal silos kill storage pests by oxygen deprivation without pesticides. Popular in Central America, they are now being promoted in Africa, but their impact here has not yet been studied. This study used propensity score matching to evaluate the impact of metal silos on duration of maize storage, loss abatement, cost of storage, and household food security. Metal silo adopters (N=116) were matched with non-adopting farmers from a representative sample of 1340 households covering the major maize-growing zones in Kenya. The major effect of the metal silos was an almost complete elimination of losses due to insect pests, saving farmers an average of 150–200kg of grain, worth KSh9750 (US$130). Metal silo adopters also spent about KSh340 less on storage insecticides. Adopters were able to store their maize for 1.8–2.4months longer, and to sell their surplus after five months at good prices, instead of having to sell right after the harvest. The period of inadequate food provision among adopters was reduced by more than one month. We conclude that metal silos are effective in reducing grain losses due to maize-storage insects, and that they have a large impact on the welfare and food security of farm households. The initial cost of metal silos is high (KSh20,000/1.8 ton) and therefore policies to increase access to credit, to reduce the cost of sheet metal, and to promote collective action can improve their uptake by smallholder farmers.

Suggested Citation

  • Gitonga, Zachary M. & De Groote, Hugo & Kassie, Menale & Tefera, Tadele, 2013. "Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching," Food Policy, Elsevier, vol. 43(C), pages 44-55.
  • Handle: RePEc:eee:jfpoli:v:43:y:2013:i:c:p:44-55
    DOI: 10.1016/j.foodpol.2013.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919213001097
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.foodpol.2013.08.005?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. Mulubrhan Amare & Solomon Asfaw & Bekele Shiferaw, 2012. "Welfare impacts of maize–pigeonpea intensification in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 27-43, January.
    2. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    3. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    4. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    5. Asfaw, Solomon & Shiferaw, Bekele & Simtowe, Franklin & Lipper, Leslie, 2012. "Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia," Food Policy, Elsevier, vol. 37(3), pages 283-295.
    6. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    7. Aliou Diagne & Matty Demont, 2007. "Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 201-210, September.
    8. Barrett, C. B. & Reardon, T. & Webb, P., 2001. "Nonfarm income diversification and household livelihood strategies in rural Africa: concepts, dynamics, and policy implications," Food Policy, Elsevier, vol. 26(4), pages 315-331, August.
    9. Milu Muyanga & T. S. Jayne & William J. Burke, 2013. "Pathways into and out of Poverty: A Study of Rural Household Wealth Dynamics in Kenya," Journal of Development Studies, Taylor & Francis Journals, vol. 49(10), pages 1358-1374, October.
    10. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    11. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, . "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, September.
    12. Bokusheva, Raushan & Finger, Robert & Fischler, Martin & Berlin, Robert & Marin, Yuri & Perez, Francisco Jose & Paiz, Francisco, 2012. "Factors Determining the Adoption and Impact of a Postharvest Storage Technology," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125138, International Association of Agricultural Economists.
    13. Gbegbelegbe, Sika & De Groote, Hugo, 2012. "Spatial and Temporal Maize Price Analysis in East Africa," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126844, International Association of Agricultural Economists.
    14. Kimenju, Simon Chege & De Groote, Hugo, 2010. "Economic Analysis of Alternative Maize Storage Technologies in Kenya," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96419, African Association of Agricultural Economists (AAAE).
    15. Hugo Groote & Clare Narrod & Simon C. Kimenju & Charles Bett & Rosemarie P. B. Scott & Marites M. Tiongco & Zachary M. Gitonga, 2016. "Measuring rural consumers’ willingness to pay for quality labels using experimental auctions: the case of aflatoxin-free maize in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 33-45, January.
    16. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    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. Emiliano Magrini & Mauro Vigani, 2016. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 707-726, August.
    2. Paudel, G. & Krishna, V. & McDonald, A., 2018. "Why some inferior technologies succeed? Examining the diffusion and impacts of rotavator tillage in Nepal Terai," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277149, International Association of Agricultural Economists.
    3. Yi Luo & Dong Huang & Haimin Miao & Laping Wu & Junfeng Zhu, 2022. "Impact of advanced storage facilities on households’ maize storage losses and food security in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 221-237, January.
    4. Islam, Abu Hayat, 2015. "Can Integrated Rice-Fish System Increase Welfare of the Marginalized Extreme Poor in Bangladesh? A DID Matching Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211792, International Association of Agricultural Economists.
    5. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    6. Khonje, Makaiko & Manda, Julius & Alene, Arega D. & Kassie, Menale, 2015. "Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia," World Development, Elsevier, vol. 66(C), pages 695-706.
    7. Abdoulaye Diagne Author-Name: Fran ois J. Cabral, 2017. "Agricultural Transformation in Senegal: Impacts of an integrated program," Working Papers PMMA 2017-09, PEP-PMMA.
    8. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    9. Mishra, Ashok K. & Khanal, Aditya R. & Pede, Valerien O., 2017. "Is direct seeded rice a boon for economic performance? Empirical evidence from India," Food Policy, Elsevier, vol. 73(C), pages 10-18.
    10. Raju Ghimire & Wen-Chi Huang, 2015. "Household wealth and adoption of improved maize varieties in Nepal: a double-hurdle approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 7(6), pages 1321-1335, December.
    11. Bairagi, Subir & Bhandari, Humnath & Kumar Das, Subrata & Mohanty, Samarendu, 2021. "Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh," Food Policy, Elsevier, vol. 105(C).
    12. Egziabher, Kidanemariam G. & Mathijs, Erik & Deckers, Jozef A. & Gebrehiwot, Kindeya & Bauer, Hans & Maertens, Miet, 2013. "The Economic Impact of a New Rural Extension Approach in Northern Ethiopia," Working Papers 146558, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    13. Pham Bao Duong & Pham Tien Thanh & Tihomir Ancev, 2021. "Impacts of off‐farm employment on welfare, food security and poverty: Evidence from rural Vietnam," International Journal of Social Welfare, John Wiley & Sons, vol. 30(1), pages 84-96, January.
    14. Ogada, Maurice Juma & Rao, Elizaphan J.O. & Radeny, Maren & Recha, John W. & Solomon, Dawit, 2020. "Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya," World Development Perspectives, Elsevier, vol. 18(C).
    15. Bairagi, Subir & Mishra, Ashok K. & Durand-Morat, Alvaro, 2020. "Climate risk management strategies and food security: Evidence from Cambodian rice farmers," Food Policy, Elsevier, vol. 95(C).
    16. Jorge Leonardo Rueda Gil, 2017. "Cambio tecnológico y mejoras en el bienestar de los caficultores en Colombia: el caso de las variedades resistentes a la roya," Documentos CEDE 015665, Universidad de los Andes – Facultad de Economía – CEDE.
    17. Ahmad Romadhoni Surya Putra, R. & Liu, Zhen & Lund, Mogens, 2017. "The impact of biogas technology adoption for farm households – Empirical evidence from mixed crop and livestock farming systems in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1371-1378.
    18. Victoria I. Audu & Goodness C. Aye, 2014. "The effects of improved maize technology on household welfare in Buruku, Benue State, Nigeria," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-10, December.
    19. Weyori, A.E. & Waibel, H. & Liebenehm, S., 2018. "Livestock interventions and farmer welfare in sub-Saharan Africa: A panel data analysis from Togo," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277379, International Association of Agricultural Economists.
    20. Tambo, Justice A. & Wünscher, Tobias, 2016. "Beyond adoption: welfare effects of farmer innovation behavior in Ghana," Discussion Papers 235297, University of Bonn, Center for Development Research (ZEF).

    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:eee:jfpoli:v:43:y:2013:i:c:p:44-55. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.