B
Bhavani Shankar
Researcher at University of Sheffield
Publications - 121
Citations - 3487
Bhavani Shankar is an academic researcher from University of Sheffield. The author has contributed to research in topics: Agriculture & Food systems. The author has an hindex of 29, co-authored 117 publications receiving 2985 citations. Previous affiliations of Bhavani Shankar include University of London & University of Plymouth.
Papers
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Journal ArticleDOI
The effect of rising food prices on food consumption: systematic review with meta-regression
Rosemary Green,Laura Cornelsen,Alan D. Dangour,Rachel Turner,Bhavani Shankar,Mario Mazzocchi,Richard D. Smith +6 more
TL;DR: Changes in global food prices will have a greater effect on food consumption in lower income countries and in poorer households within countries, and has important implications for national responses to increases in food prices and for the definition of policies designed to reduce the global burden of undernutrition.
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Policies to promote healthy eating in Europe: a structured review of policies and their effectiveness
Sara Capacci,Mario Mazzocchi,Bhavani Shankar,Jose Brambila Macias,Wim Verbeke,Federico J.A. Perez-Cueto,Agnieszka Kozioł-Kozakowska,Beata Piórecka,Barbara Niedzwiedzka,Dina D'Addesa,Anna Saba,Aida Turrini,Jessica Aschemann-Witzel,Tino Bech-Larsen,Mathias Strand,L. Smillie,Josephine Wills,W. Bruce Traill +17 more
TL;DR: A need exists for a more systematic and accurate evaluation of government-level interventions as well as for a stronger focus on actual behavioral change rather than changes in attitude or intentions alone.
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Bayesian Spatial Probit Estimation: A primer and an application to HYV rice adoption
TL;DR: In this article, the authors provide a primer to the Bayesian spatial probit with the objective of making accessible to non-users a class of iterative estimation methods that have become fairly routine in Bayesian circles, offer an extremely powerful addition to applied researchers toolkits, and are essential in bayesian implementation of spatial econometric models.
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Policy interventions to promote healthy eating: a review of what works, what does not, and what is promising.
Jose Brambila-Macias,Bhavani Shankar,Sara Capacci,Mario Mazzocchi,Federico J.A. Perez-Cueto,Wim Verbeke,W. Bruce Traill +6 more
TL;DR: Overall, it is concluded that measures to support informed choice have a mixed and limited record of success and interventions targeting the market environment are rarer and generally more effective, though more intrusive.
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Bias from farmer self-selection in genetically modified crop productivity estimates: Evidence from Indian data
TL;DR: In this article, the authors used farm-level panel data from Indian cotton farmers to investigate the yield effect of GM insect-resistant cotton and found that efficient farmers adopt Bacillus thuringiensis (Bt) cotton at a higher rate than their less efficient peers.