This study examined which characteristics of dogs available at a large rehoming organization in the United Kingdom influenced prospective adopters' choices. The revealed preference data used to model "consumer" choice were from the Dogs Trust rehoming web pages. The analysis of the probability of adoption involved a logistic regression model with multiple imputation. The factors that had a significant impact on the adopters' choices were age, size, pedigree status, coat length, behavior (e.g., fearfulness, adjustment issues), friendliness (toward children, dogs, and other pets), and training. This study offers a quantitative analysis of adopters' preferences that could prove to be useful for shelter personnel and researchers interested in the analysis of companion animal markets.
PurposeThis study investigates UK consumers’ perception and willingness to pay (WTP) for egg attributes associated with laying hen welfare, namely with beak-trimming practices and injurious feather pecking (IP). The aim is to examine any change in WTP after improved consumer awareness.Design/methodology/approachBuilding upon existing literature, the authors designed an online survey in which the method of discrete choice experiment (DCE) was employed. The study includes two identical DCEs with the second being introduced after respondents were presented with an educational excerpt about beak-trimming practices, on farm IP occurrence and the docile nature of white egg laying hens – reducing IP.FindingsThe mixed logit regression model demonstrated that consumers' WTP for egg attributes associated with beak trimming and IP decreased in the second DCE (12.6% for organic and 2.55% for free-range). For eggshell colour, the analysis revealed a shift from a preference to brown eggs to indifference between eggshell colours.Originality/valueOverall, UK consumers have a preference in higher hen welfare resulting in a decrease in WTP once they are aware of welfare losses in current systems; however, more insights are required in terms of the promotion of white shelled eggs as a means of reducing IP on UK farms.
This is the first empirical study examining the effectiveness of the newly imposed English compulsory microchipping policy. A dataset of 2,974 records was retrieved from an English local authority's website. Records were from the period 2010-2018 and were analysed based on the three periods of the policy timeline: initial period includes data recorded prior to the intent of imposing the microchipping policy (April 1, 2010 -February 2, 2013); second period includes data recorded between the announcement of the intent and the date of the policy coming into effect (February 3, 2013 -April 5, 2016; and the final period includes data recorded after the policy came into effect (April 6, 2016 -July 4, 2018. A preliminary binary univariable logistic regression model analyzed the initial period which revealed that microchipping was an effective means of traceability providing evidence supporting the imposition of the policy. Thereafter, a multinomial logistic regression model was employed for the complete dataset and all policy periods. It revealed that both the period after the announcement of intent to impose the policy and the period after the policy came into effect have had a significant effect on the return of stray dogs, with the latter of greater magnitude. In particular for Staffordshire bull terriers and its crosses, which is the leading breed in animal welfare organization and local authority kennels, this study identifies the need for further research. Overall, these findings are encouraging in terms of the success of the policy however, more insights are required on keeping microchip details up-to-date and on the link of deprived areas, youth and the ownership of Staffordshire bull terriers. Although the findings of this study may not be generalized to all English local authorities, its conclusions could be used as a benchmark and starting point for further investigation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.