IDEAS home Printed from https://ideas.repec.org/p/ags/aesc18/273493.html
   My bibliography  Save this paper

Welfare Effect of Urea Deep Placement (UDP) Technology Adoption among Smallholder Rice Farmers in Kwara State, Nigeria – Analysis of a Randomized Control Trial Experiment

Author

Listed:
  • Edeh, Hyacinth
  • Mavrotas, George

Abstract

We analyse the effects of adoption of urea deep placement (UDP) technology on household welfare using household data collected through a randomized control trial experiment conducted among rice farming households in Kwara State, Nigeria. In order to adjust for unequal sampling fractions and correct for possible misspecification and selection bias in the effects model, we estimate a treatment effect model using the doubly robust inverse probability weighted regression adjustments. The results show that variable that enhances intra-household joint decision-making on farm input use and wealth indicators encourage UDP adoption while physiological risks tend to discourage adoption. Differential use of food consumption coping strategies exists between adopters and non-adopters along less severe but not severe strategies. We find that UDP technology can significantly increase food security, measured as food consumption coping strategy index, among adopting households. This implies that the technology is welfare increasing, and its adoption could be discouraged by health and production – related risks interventions.

Suggested Citation

  • Edeh, Hyacinth & Mavrotas, George, 2018. "Welfare Effect of Urea Deep Placement (UDP) Technology Adoption among Smallholder Rice Farmers in Kwara State, Nigeria – Analysis of a Randomized Control Trial Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273493, Agricultural Economics Society.
    • Handle: RePEc:ags:aesc18:273493
    DOI: 10.22004/ag.econ.273493
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273493/files/Hyacinth_Edeh_Welfare%20Effects%20of%20Agricultural%20Technology%20Adoption.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273493?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. Kazushi Takahashi & Christopher B. Barrett, 2014. "The System of Rice Intensification and its Impacts on Household Income and Child Schooling: Evidence from Rural Indonesia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(1), pages 269-289.
    2. Obisesan, Adekemi, 2014. "Gender Differences In Technology Adoption And Welfare Impact Among Nigerian Farming Households," MPRA Paper 58920, University Library of Munich, Germany.
    3. Wooldridge, Jeffrey M., 2007. "Inverse probability weighted estimation for general missing data problems," Journal of Econometrics, Elsevier, vol. 141(2), pages 1281-1301, December.
    4. Liverpool- Tasie, Lenis Saweda O. & Adjognon, Serge & Kuku-Shittu, Oluyemisi, 2015. "Productivity Effects of Sustainable Intensification: The Case of Urea Deep Placement for Rice Production in Niger State, Nigeria," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(01), pages 1-13, March.
    5. Maxwell, Daniel G., 1996. "Measuring food insecurity: the frequency and severity of "coping strategies"," Food Policy, Elsevier, vol. 21(3), pages 291-303, July.
    6. Susan Athey & Guido Imbens, 2016. "The Econometrics of Randomized Experiments," Papers 1607.00698, arXiv.org.
    7. Sanzidur Rahman* & Basanta K. Barmon, 2015. "Productivity and efficiency impacts of urea deep placement technology in modern rice production: An empirical analysis from Bangladesh," Journal of Developing Areas, Tennessee State University, College of Business, vol. 49(3), pages 119-134, July-Sepe.
    8. Maxwell, Daniel & Ahiadeke, Clement & Levin, Carol & Armar-Klemesu, Margaret & Zakariah, Sawudatu & Lamptey, Grace Mary, 1999. "Alternative food-security indicators: revisiting the frequency and severity of 'coping strategies'," Food Policy, Elsevier, vol. 24(4), pages 411-429, August.
    9. Maxwell, Daniel & Caldwell, Richard & Langworthy, Mark, 2008. "Measuring food insecurity: Can an indicator based on localized coping behaviors be used to compare across contexts?," Food Policy, Elsevier, vol. 33(6), pages 533-540, December.
    10. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    11. Carolyn Afolami & Abiodun Obayelu & Ignatius Vaughan, 2015. "Welfare impact of adoption of improved cassava varieties by rural households in South Western Nigeria," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 3(1), pages 1-17, December.
    12. Nin-Pratt, Alejandro, 2015. "Agricultural intensification in Africa: A regional analysis:," IFPRI discussion papers 1433, International Food Policy Research Institute (IFPRI).
    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. Edeh, Hyacinth Onuorah & Gyimah-Brempong, Kwabena, 2014. "Determinants of Change and Household Responses to Food Insecurity: Empirical Evidence from Nigeria," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169750, Agricultural Economics Society.
    2. Broussard, Nzinga H. & Tandon, Sharad, 2016. "Food Insecurity Measures: Experience-Based Versus Nutrition-Based Evidence From India, Bangladesh, and Ethiopia," Economic Research Report 262189, United States Department of Agriculture, Economic Research Service.
    3. M. L. Mabuza & G. F. Ortmann & E. Wale, 2016. "Frequency and extent of employing food insecurity coping strategies among rural households: determinants and implications for policy using 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. 8(1), pages 255-269, February.
    4. M. Mabuza & G. Ortmann & E. Wale, 2016. "Frequency and extent of employing food insecurity coping strategies among rural households: determinants and implications for policy using 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. 8(1), pages 255-269, February.
    5. David Mautin Oke & Koye Gerry Bokana & Godwin Enaholo Uddin, 2017. "Food Insecurity in Selected African Countries: Effect of Food Imports among Other Predictors," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 67(3), pages 18-31, july-Sept.
    6. Kusunose, Yoko & Lybbert, Travis J., 2014. "Coping with Drought by Adjusting Land Tenancy Contracts: A Model and Evidence from Rural Morocco," World Development, Elsevier, vol. 61(C), pages 114-126.
    7. Sognigbe N’Danikou & Raymond Sognon Vodouhe & Mauricio R. Bellon & Amadou Sidibé & Harouna Coulibaly, 2017. "Foraging Is Determinant to Improve Smallholders’ Food Security in Rural Areas in Mali, West Africa," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    8. Yukichi Mano & Kazushi Takahashi & Keijiro Otsuka, 2020. "Mechanization in land preparation and agricultural intensification: The case of rice farming in the Cote d'Ivoire," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 899-908, November.
    9. George Abuchi Agwu, 2020. "The Boko Haram conflict and food insecurity: Does resilience capacity matter?," Working Papers hal-02902311, HAL.
    10. Cole, Steven M. & Tembo, Gelson, 2011. "The effect of food insecurity on mental health: Panel evidence from rural Zambia," Social Science & Medicine, Elsevier, vol. 73(7), pages 1071-1079.
    11. Lilian Korir & Marian Rizov & Eric Ruto & Patrick Paul Walsh, 2021. "Household Vulnerability to Food Insecurity and the Regional Food Insecurity Gap in Kenya," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    12. Bhatta, Kiran Prasad & Ishida, Akira & Taniguchi, Kenji & Sharma, Raksha, 2008. "Does Kitchen Garden and Backyard Livestock Farming Help Combat Food Insecurity?," MPRA Paper 40958, University Library of Munich, Germany.
    13. Christiaensen, Luc J. & Boisvert, Richard N. & Hoddinott, John, 2000. "Validating operational food insecurity indicators against a dynamic benchmark : evidence from Mali," Policy Research Working Paper Series 2471, The World Bank.
    14. Knippenberg, Erwin & Jensen, Nathaniel & Constas, Mark, 2019. "Quantifying household resilience with high frequency data: Temporal dynamics and methodological options," World Development, Elsevier, vol. 121(C), pages 1-15.
    15. Erwin Knippenberg & Dean Jolliffe & John Hoddinott, 2020. "Land Fragmentation and Food Insecurity in Ethiopia," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1557-1577, October.
    16. Hossain, Marup & Mullally, Conner & Asadullah, M. Niaz, 2019. "Alternatives to calorie-based indicators of food security: An application of machine learning methods," Food Policy, Elsevier, vol. 84(C), pages 77-91.
    17. Christiaensen, Luc J.M. & Boisvert, Richard N., 2000. "Validating Operational Food Security Indicators Against A Dynamic Benchmark," 2000 Annual meeting, July 30-August 2, Tampa, FL 21781, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Seyi Olalekan Olawuyi & Abbyssinia Mushunje, 2019. "Social Capital and Adoption of Alternative Conservation Agricultural Practices in South-Western Nigeria," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    19. Hongyun Zheng & Wanglin Ma, 2023. "Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator," Electronic Commerce Research, Springer, vol. 23(2), pages 633-658, June.
    20. Mano, Yukichi & Njagi, Timothy & Otsuka, Keijiro, 2022. "An inquiry into the process of upgrading rice milling services: The case of the Mwea Irrigation Scheme in Kenya," Food Policy, Elsevier, vol. 106(C).

    More about this item

    Keywords

    Agricultural and Food Policy; International Development;

    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:aesc18:273493. 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/aesukea.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.