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Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda

Author

Listed:
  • Enoch M. Kikulwe

    (Bioversity International, P.O. Box 24384, Kampala, Uganda)

  • Joseph Lule Kyanjo

    (Department of Agribusiness and Natural Resource Economics, School of Agricultural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda)

  • Edward Kato

    (International Food Policy Research Institute, 1201 I St NW Eye Street, NW, Washington, DC 20005, USA)

  • Reuben T. Ssali

    (National Agricultural Laboratories Research Institute, P.O. Box 7084, Kampala, Uganda)

  • Rockefeller Erima

    (National Agricultural Laboratories Research Institute, P.O. Box 7084, Kampala, Uganda)

  • Samuel Mpiira

    (National Agricultural Laboratories Research Institute, P.O. Box 7084, Kampala, Uganda)

  • Walter Ocimati

    (Bioversity International, P.O. Box 24384, Kampala, Uganda)

  • William Tinzaara

    (Bioversity International, P.O. Box 24384, Kampala, Uganda)

  • Jerome Kubiriba

    (National Agricultural Laboratories Research Institute, P.O. Box 7084, Kampala, Uganda)

  • Elisabetta Gotor

    (Bioversity International, Via dei Tre Denari, 472/a, 00054 Maccarese RM, Italy)

  • Dietmar Stoian

    (Bioversity International, Parc Scientifique Agropolis II, CEDEX 5, 34397 Montpellier, France)

  • Eldad Karamura

    (Bioversity International, P.O. Box 24384, Kampala, Uganda)

Abstract

Banana Xanthomonas Wilt (BXW) is an important emerging and non-curable infectious plant pathogen in sub-Saharan Africa that can cause up to 100% yield loss, negatively impacting sustainable access to food and income to more than 100 million banana farmers. This study disentangles adopters into partial and full adopters to investigate the factors that are relevant to sustain the adoption process of BXW control practices and quantifies the impact of adopting the practices. Data from a randomly selected sample of 1200 banana farmers in Uganda where the disease is endemic was used. A multinomial logit model was used to determine the factors affecting adoption of control practices and augmented inverse probability weighting was employed to estimate the impacts of adoption on banana productivity and sales. Results show that training a woman farmer and having diverse sources of information about BXW control practices increased adoption of the control practices and reduced the disease incidences. Farmers who adopted all the recommended control practices achieved significantly the highest values of banana production and sales. We conclude that improving information access through farmers’ preferred communication channels, having women-inclusive trainings, and a combination of cultural practices are effective ways for sustaining adoption of the control practices.

Suggested Citation

  • Enoch M. Kikulwe & Joseph Lule Kyanjo & Edward Kato & Reuben T. Ssali & Rockefeller Erima & Samuel Mpiira & Walter Ocimati & William Tinzaara & Jerome Kubiriba & Elisabetta Gotor & Dietmar Stoian & El, 2019. "Management of Banana Xanthomonas Wilt: Evidence from Impact of Adoption of Cultural Control Practices in Uganda," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2610-:d:228737
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    References listed on IDEAS

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    1. Simtowe, Franklin & Kassie, Menale & Asfaw, Solomon & Shiferaw, Bekele A. & Monyo, Emmanuel & Siambi, Moses, 2012. "Welfare Effects of Agricultural Technology adoption: the case of improved groundnut varieties in rural Malawi," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126761, International Association of Agricultural Economists.
    2. Davis, K. & Nkonya, E. & Kato, E. & Mekonnen, D.A. & Odendo, M. & Miiro, R. & Nkuba, J., 2012. "Impact of Farmer Field Schools on Agricultural Productivity and Poverty in East Africa," World Development, Elsevier, vol. 40(2), pages 402-413.
    3. Zhiqiang Tan, 2010. "Bounded, efficient and doubly robust estimation with inverse weighting," Biometrika, Biometrika Trust, vol. 97(3), pages 661-682.
    4. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
    5. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2010. "How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score," IZA Discussion Papers 5268, Institute of Labor Economics (IZA).
    6. Juliet Nakakawa & Joseph Y. T. Mugisha & Michael W. Shaw & William Tinzaara & Eldad Karamura, 2017. "Banana Xanthomonas Wilt Infection: The Role of Debudding and Roguing as Control Options within a Mixed Cultivar Plantation," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2017, pages 1-13, December.
    7. Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
    8. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute of Labor Economics (IZA).
    9. Nakano, Yuko & Tsusaka, Takuji W. & Aida, Takeshi & Pede, Valerien O., 2015. "The Impact of Training on Technology Adoption and Productivity of Rice Farming in Tanzania: Is Farmer-to-Farmer Extension Effective?," Working Papers 90, JICA Research Institute.
    10. 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.
    11. Bagamba, Fredrick & Burger, Kees & Kuyvenhoven, Arie, 2007. "Determinants of smallholder farmer labour allocation decisions in Uganda," 106th Seminar, October 25-27, 2007, Montpellier, France 7920, European Association of Agricultural Economists.
    12. S. Derya Uysal, 2015. "Doubly Robust Estimation of Causal Effects with Multivalued Treatments: An Application to the Returns to Schooling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 763-786, August.
    13. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    14. Dan Pan, 2014. "The Impact of Agricultural Extension on Farmer Nutrient Management Behavior in Chinese Rice Production: A Household-Level Analysis," Sustainability, MDPI, vol. 6(10), pages 1-22, September.
    15. Matias D. Cattaneo, 2010. "multi-valued treatment effects," The New Palgrave Dictionary of Economics,, Palgrave Macmillan.
    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.
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    Cited by:

    1. Tiziana Pagnani & Elisabetta Gotor & Enoch Kikulwe & Francesco Caracciolo, 2021. "Livelihood assets’ influence on Ugandan farmers’ control practices for Banana Xanthomonas Wilt (BXW)," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-19, December.
    2. Gemeda, Birhanu & Tesfaye, Getaneh & Simachew, Addis & Wang, Aijie & Mekonnen, Addisu & Guadie, Awoke & Andualem, Berhanu, 2023. "Linking indigenous with scientific knowledge about enset (Ensete ventricosum) disease management in Gamo highlands of Ethiopia: Evidence from local people response, soil physicochemical and microbial ," Agricultural Systems, Elsevier, vol. 212(C).
    3. Esther Gloria Mbabazi & Enoch M. Kikulwe & Joseph Lule Kyanjo & Nasser Mulumba & Edward Kato & Elisabetta Gotor, 2024. "Has Continued Exposure to Banana Xanthomonas Wilt Worsened Farmers’ Welfare Over Time? Evidence From Banana-Producing Households in Uganda," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 13(11), pages 1-11, April.
    4. Lucy Mulugo & Paul Kibwika & Florence Birungi Kyazze & Aman Omondi Bonaventure & Enoch Kikulwe, 2022. "The contestations of diversity, culture and commercialization: why tissue culture technology alone cannot solve the banana Xanthomonas wilt problem in central Uganda," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(3), pages 1141-1158, September.

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