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Impact of training vegetable farmers in Bangladesh in integrated pest management (IPM)

Autor: Gautam, S.
Autor: Schreinemachers, P.
Autor: Nazim Uddin, S. Md.
Autor: Srinivasan, R.
Año: 2017
URI: https://hdl.handle.net/10883/19357
Resumen: This study quantifies the impact of training vegetable farmers in integrated pest management (IPM) in Bangladesh. Data come from a random sample of 300 trained and 300 non-trained farmers producing either bitter gourd (Momordica charantia L.) or eggplant (Solanum melongena L.). Propensity score matching and inverse probability weighting was employed to correct for selection bias in observable characteristics. A range of outcome indicators along the impact pathway was used. The study finds that trained farmers had better knowledge about insect pests and the proper use of pesticides, adopted more IPM practices, and reduced the frequency of spraying and mixing different pesticides. For eggplant, but not for bitter gourd, trained farmers reduced the quantity of pesticide use and achieved a significantly higher crop yield and gross margin. The effect on consumptive expenditures, which we used as a proxy of income, was insignificant. We conclude that further promotion of IPM adoption among farmers is needed and that it should be a priority to increase the profitability of IPM practices for gradual reduction in synthetic pesticide misuse and a sustainable agricultural production.
Formato: PDF
Lenguaje: English
Editor: Elsevier
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Tipo: Article
Lugar de publicación: United Kingdom
Páginas: 161-169
Volumen: 102
DOI: 10.1016/j.cropro.2017.08.022
Palabras Claves: Propensity Score Matching
Palabras Claves: Inverse Probability Weighting
País: BANGLADESH
Agrovoc: VEGETABLES
Agrovoc: FARMERS
Agrovoc: INTEGRATED PEST MANAGEMENT
Agrovoc: DEVELOPING COUNTRIES
Agrovoc: EGGPLANTS
Agrovoc: CUCURBIT VEGETABLES
Agrovoc: STATISTICAL METHODS
Revista: Crop Protection


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    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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