2020
DOI: 10.1016/j.rsci.2019.12.006
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Adoption and Impact of Modern Rice Varieties on Poverty in Eastern India

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Cited by 51 publications
(49 citation statements)
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References 29 publications
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“…In contrast, a level increase in the educational level of a farmer increases the probability of using both seeds and seedlings by 8.841 units in comparison to the use of seeds only. The result is consistent with Weir and Knight (2000); Mutanyagwa et al (2018) and Bannor et al (2020) who revealed that educated farmers are generally open to innovative ideas and new technologies, hence, are most likely to accept current planting materials.…”
Section: The Choice Of Cashew Planting Materials Among Farmerssupporting
confidence: 89%
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“…In contrast, a level increase in the educational level of a farmer increases the probability of using both seeds and seedlings by 8.841 units in comparison to the use of seeds only. The result is consistent with Weir and Knight (2000); Mutanyagwa et al (2018) and Bannor et al (2020) who revealed that educated farmers are generally open to innovative ideas and new technologies, hence, are most likely to accept current planting materials.…”
Section: The Choice Of Cashew Planting Materials Among Farmerssupporting
confidence: 89%
“…Likewise, the probability of using both seeds and seedlings decreases by 19.25 units compared to the seeds only. Interestingly, the result on the age of cashew plantations relative to seedling usage is consistent with studies by Abdulai (2016) and Chandio and Yuansheng (2018), however, in contrast with the findings by Bannor et al (2020). On the contrary, an increase in the experience of a farmer decreases the probability of using seedlings compared to seeds.…”
Section: The Choice Of Cashew Planting Materials Among Farmerssupporting
confidence: 86%
“…To achieve the objective of this study, we estimate the average treatment effect on the treated ( ATT ), defined as the average difference in outcome (household food security) of improved rice variety adopting farm households, with or without the technology (Bannor, Kumar, Oppong‐Kyeremeh, & Wongnaa, 2020; Manda, Gardebroek, Kuntashula, & Alene, 2018; Takahashi & Barrett, 2014): italicATT=E()|YiAYiNTi=1=E()|YitaliciATi=1E()|YitaliciN=1 where E (. ) is the expectation operator, Y iA is the potential outcome with improved rice variety adoption while Y iN is the potential outcome with non‐adoption of improved rice variety and T i is the treatment indicator, equal to 1 if the farm household adopted improved rice varieties and 0 otherwise.…”
Section: Econometric Estimation Strategymentioning
confidence: 99%
“…The selection of the variables for our empirical model is constructed as a result of reviewing theoretical and empirical literature relating to adoption and impact evaluations (Arouna et al, 2017; Bannor et al, 2020; Donkoh et al, 2019; Khonje, Manda, Alene, & Kassie, 2015; Takahashi et al, 2020). From literature, numerous factors influence adoption and, consequently, our outcome variables (food insecurity measures).…”
Section: Empirical Model Specificationmentioning
confidence: 99%
“…Based on the forgoing discussion and following Bannor et al (2020) as well as Wongnaa and Babu (2020), PSM was employed in analysing the impact of contract farming on the food security status of rice farmers. PSM was chosen over other impact evaluation/assessment techniques because it assumes that all important household characteristics determining the impact of contract farming on the food security status of rice farmers are observable.…”
Section: Sampling and Sample Sizementioning
confidence: 99%