2013
DOI: 10.3329/bjar.v38i2.15893
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The Impact Of Agricultural Extension Contact On Crop Income In Bangladesh

Abstract: The impact of extension contact on crop income is examined with a view to evaluating the agricultural extension in Bangladesh. The scope of the study was ten villages of Gazipur district. The objectives of the study are to i) determine the factors influencing the benefit of extension services in terms of farm income, ii) determine the factors affecting the extension contact of farmers, and iii) suggest some policy guidelines to improve the extension services in Bangladesh. The sample of the study consists of 1… Show more

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Cited by 14 publications
(10 citation statements)
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References 5 publications
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“…The result agrees with Haq (2013) that agricultural extension services can provide farmers opportunities of productive works. In the case of household size, the coefficient is positive and statistically significant.…”
Section: Resultssupporting
confidence: 89%
“…The result agrees with Haq (2013) that agricultural extension services can provide farmers opportunities of productive works. In the case of household size, the coefficient is positive and statistically significant.…”
Section: Resultssupporting
confidence: 89%
“…This clearly indicates that table grape farmers take the services provided for by the extension officers into careful consideration and they also play an important role in the production of table grapes. This finding concurs with a study that was done by Gulati et al (2018) and Haq (2013), which stated that extension services have a positive significant role as farmers are able to achieve higher farm income and also be empowered. Thus, these services do improve farmers' level of production.…”
Section: Farm Sizesupporting
confidence: 92%
“…Therefore, it summarized the model, Ln crop income= f (In chemical fertilizer, In irrigation, In experience, In farm area, In labour, extension contact dummy, extension contact dummy 2 ). Haq et al (2004) interpreted total income as dependent variable, while age of farmers, years of schooling of farmers, family size, number of educated family members, number of earners of a farm family, rural institutions dummy, number of times extension contact, proportionate effect of flood to crop land, distance between crop land to market, homestead area, size of farm, irrigation cost, village dummy were taken as independent variables. The income function was solved by applying ordinary least squares.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…Thus with the knowledge derived from extension services through extension contact, farm operators may increase their production (Haq et al, 2003;Owens et al, 2003). Relevant importance of other selected variables can be found in related literatures (Haq et al, 2004;Everson et al, 2001;Begum et al, 1998). Except for the variables of contact frequency, proportional effect of flood to crop land, village dummy and upazila "dummy, all the variables have been evaluated with a logarithmic converter to avoid disparities of the figures (Haq et a1., 2003;Owens et a1., 2003).…”
Section: Empirical Modelmentioning
confidence: 99%