Maria De Salvo

Dr. Maria De Salvo

Department of Agriculture, Food and Environment, University of Catania, Via Santa Sofia, 100, 95131 Catania, Italy
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2016 in British Food Journal
Verified
Journal Article
Closed access
LALara Agnoli
Lara Agnoli
RCRoberta Capitello
Roberta Capitello
MSMaria De Salvo
Maria De Salvo
ALAlberto Longo
Alberto Longo
MBMarco Boeri
Marco Boeri
Purpose: – In 2012, the European food industry was hit by a food fraud: horsemeat was found in pre-prepared foods, without any declaration on the package. This is commonly referred to as the “horsemeat scandal”. The purpose of this paper is to investigate consumers’ preferences across Europe for a selected ready meal, ready to heat (RTH) fresh lasagne, to consider whether the effects of potential food frauds on consumers’ choices can be mitigated by introducing enhanced standards of RTH products. Design/methodology/approach: – An online survey was administered to 4,598 consumers of RTH lasagne in six European countries (Republic of Ireland, France, Italy, Spain, Germany and Norway), applying discrete choice experiments to estimate consumers’ willingness to pay for enhanced food safety standards and highlight differences between countries. Findings: – Many similarities across countries emerged, as well as some differences. Consumers in Europe are highly concerned with the authenticity of the meat in ready meals and strongly prefer to know that ingredients are nationally sourced. Strong regional differences in price premiums exist for enhanced food safety standards. Originality/value: – This research adds relevant insights in the analysis of consumers’ reaction to food fraud, providing practical guidelines on the most appropriate practices that producers should adopt and on the information to reduce food risk perception among consumers. This would prove beneficial for the food processing industry and the European Union. The survey is based on a representative sample of European consumers making this the largest cross-country study of this kind.

1 December 2012 in Journal of Forest Economics
Verified
Journal Article
Closed access
PRPere Riera
Pere Riera
GSGiovanni Signorello
Giovanni Signorello
MTMara Thiene
Mara Thiene
PMPierre-Alexandre Mahieu
Pierre-Alexandre Mahieu
SNStåle Navrud
Ståle Navrud
SDSimona Dragoi
Simona Dragoi
The European COST Action E45 on European Forest Externalities (EUROFOREX) participants developed a set of good practice guidelines for the non-market valuation of forests, elaborating on stated and revealed preference methodologies, as well as benefit transfer and meta-analytical procedures. This article presents a summary of the guidelines

1 June 2013 in Agricultural Systems
Verified
Journal Article
Closed access
MSMaria De Salvo
Maria De Salvo
RRRaffaelli Roberta
Raffaelli Roberta
RMRiccarda Moser
Riccarda Moser

1 December 2008 in Ecological Economics
Verified
Journal Article
Closed access
EMEdward Morey
Edward Morey
MTMara Thiene
Mara Thiene
MSMaria De Salvo
Maria De Salvo
GSGiovanni Signorello
Giovanni Signorello

1 January 2010 in Urban Forestry & Urban Greening
Verified
Journal Article
Closed access
SNSandra Notaro
Sandra Notaro
MSMaria De Salvo
Maria De Salvo

1 December 2012 in Journal of Forest Economics
Verified
Journal Article
Closed access
MTMara Thiene
Mara Thiene
MJMeyerhoff Juergen
Meyerhoff Juergen
MSMaria De Salvo
Maria De Salvo
Serial non-participation is a response behavior that is frequently found in stated choice experiments. One form of serial nonparticipation is that a varying number of respondents chooses always the zero-price or status quo alternative. The approaches used in the literature to deal with this problem vary from excluding those respondents to using applying latent class models to endogenously allow for different preference structures. However, latent class models also allow to assign respondents to a known class. In this paper we compare specifications of latent class models with and without restrictions. Additionally, we control for differences in the error variance across respondents by applying a scale-extended latent class model. The comparisons are designed to show whether respondents are allocated differently among classes and whether willingness to pay estimates are affected significantly. The data are from a choice experiment regarding management actions to enhance forest biodiversity. The data set is characterized by a high percentage of respondents who were not willing to pay; almost 50% of the respondents always chose the zero price alternative locating this sample rather at the top of the range of respondents who are not willing to pay