scholarly journals Farm Animal Welfare, Consumer Willingness to Pay, and Trust: Results of a Cross‐National Survey

2010 ◽  
Vol 32 (2) ◽  
pp. 275-297 ◽  
Author(s):  
Giuseppe Nocella ◽  
Lionel Hubbard ◽  
Riccardo Scarpa
2014 ◽  
Author(s):  
Beth Clark ◽  
Gavin B Stewart ◽  
Luca A Panzone ◽  
Lynn J Frewer

This article outlines a protocol for a meta-analysis into willingness-to-pay (WTP) for farm animal welfare. The analysis seeks to establish the public's WTP for farm animal welfare and whether there is evidence to support niche markets for products produced to designated and usually higher welfare standards. A number of secondary objectives will also be explored in relation to the heterogeneity within the data relating to a number of variables known to vary within existing data including; animal species, welfare measures, socio-demographic and socio-economic characteristics. The protocol outlines the rationale, objectives, inclusion criteria, search strategy and screening processes for the meta-analysis, and the plans for data extraction, risk of bias and data synthesis.


Meat Science ◽  
2017 ◽  
Vol 125 ◽  
pp. 106-113 ◽  
Author(s):  
G.C. Miranda-de la Lama ◽  
L.X. Estévez-Moreno ◽  
W.S. Sepúlveda ◽  
M.C. Estrada-Chavero ◽  
A.A. Rayas-Amor ◽  
...  

2014 ◽  
Author(s):  
Beth Clark ◽  
Gavin B Stewart ◽  
Luca A Panzone ◽  
Lynn J Frewer

This article outlines a protocol for a meta-analysis into willingness-to-pay (WTP) for farm animal welfare. The analysis seeks to establish the public's WTP for farm animal welfare and whether there is evidence to support niche markets for products produced to designated and usually higher welfare standards. A number of secondary objectives will also be explored in relation to the heterogeneity within the data relating to a number of variables known to vary within existing data including; animal species, welfare measures, socio-demographic and socio-economic characteristics. The protocol outlines the rationale, objectives, inclusion criteria, search strategy and screening processes for the meta-analysis, and the plans for data extraction, risk of bias and data synthesis.


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