2014
DOI: 10.1016/j.foodpol.2013.09.011
|View full text |Cite
|
Sign up to set email alerts
|

Do lower yielding farmers benefit from Bt corn? Evidence from instrumental variable quantile regressions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
22
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 27 publications
(25 citation statements)
references
References 23 publications
1
22
0
Order By: Relevance
“…Mutuc et al [61] presented results from the Philippines showing that poorer farmers without access to irrigation and living further away from formal seed suppliers are less inclined to adopt Bt maize. However, in another study from the Philippines, Sanglestsawai et al [62] showed that if they can adopt Bt maize, lower-yielding farmers, who also tend to be the poorest, experience higher yield increases than farmers with higher yields before Bt maize adoption. Distributional impacts with regard to Bt cotton (see Section 3.4) support this inconclusive picture, indicating that the institutional environment in which GM crops are introduced has significant effects on their distributional effects.…”
Section: How Are Different Social Impacts Addressed?mentioning
confidence: 99%
“…Mutuc et al [61] presented results from the Philippines showing that poorer farmers without access to irrigation and living further away from formal seed suppliers are less inclined to adopt Bt maize. However, in another study from the Philippines, Sanglestsawai et al [62] showed that if they can adopt Bt maize, lower-yielding farmers, who also tend to be the poorest, experience higher yield increases than farmers with higher yields before Bt maize adoption. Distributional impacts with regard to Bt cotton (see Section 3.4) support this inconclusive picture, indicating that the institutional environment in which GM crops are introduced has significant effects on their distributional effects.…”
Section: How Are Different Social Impacts Addressed?mentioning
confidence: 99%
“…Instead of restricting covariate effects on conditional means, these regressions allow analyzing whether the effect of a given covariate changes over the conditional distribution of the dependent variable (Koenker and Hallock, 2001). Recent applications have used quantile regressions to model a range of heterogeneous effects from determinants of wages (Appleton et al, 2014), technology adoption (Sanglestsawai et al, 2014), social capital (Grootaert and Narayan, 2004) and CO 2 emissions (You et al, 2015) to impacts of economic inequality (Hassine, 2015;Nguyen et al, 2007). The conditional quantile function of given can be expressed as…”
Section: Quantile Regressions Model Specificationmentioning
confidence: 99%
“…Failing to take this into account might lead farmers to neglect other good farming practices (Bergé and Ricroch, ). Economic studies should move towards a wider approach, taking into consideration farmers’ heterogeneity (Glover, ,b). Assessing the mean yielding/profits of a crop within an entire country/region will likely be biased towards wealthier and better informed/educated farmers (Sanglestsawai et al ., ). This is especially relevant in developing countries, where institutional networks are weak, making the enforcement of laws, policies and agricultural recommendations less effective (Dowd‐Uribe, ; Kruger et al ., , ; Shantharam et al ., ; Stone, ; Xu et al ., ).…”
Section: Discussionmentioning
confidence: 99%