Preferences and Intentions of Seafood Consumers in Oman: An Empirical Analysis

Yousuf, Jaynab Begum; Bose, Shekar; Kotagama, Hemesiri; Boughanmi, Houcine

doi:10.1080/08974438.2018.1497565

Cited by 16 publications

(18 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The finding with regard to domestic ban on some popular species, perhaps, indicates that the fish exports to the EU may have been facing competition from the domestic market as strong consumer preferences exist for those species in the domestic market (Bose et al, 2010;Yousuf et al, 2018). In addition, the ban on fish exports hinders regularity of exports to the EU markets, which may not be favored by the EU traders.…”

Section: Discussionmentioning

confidence: 99%

“…The main policy motivation behind such measures on key large pelagic and demersal species was to ensure the availability of these popular species in the domestic market and to reduce inflationary pressure on fish prices. This indicates that fisheries management is also driven by market fundamentals, preferences, and intentions of end users (Yousuf, Bose, Kotagama, & Boughanmi, 2018). To be eligible for exporting fish and fish products to the EU, it is essential for an exporting country to (a) establish a competent authority (CA), which is responsible for official controls throughout the production chain, (b) have a food safety legislation that is equivalent to the EU's own hygiene legislation, (c) guarantee through the CA that the relevant hygiene and public health requirements are met, (d) provide a list of establishments that are authorized to export fish and fish products, (e) produce evidence of safe handling of the product covering the entire supply chain to examine its acceptability by EU inspection officials (Doherty, 2010).…”

Section: Fish Exports and The Eu Ban: A National Contextmentioning

confidence: 99%

See 1 more Smart Citation

Domestic Ban Versus Border Rejections: A Case of Oman’s Fish Exports to the EU

et al. 2019

Self Cite

View full text Add to dashboard Cite

The decline of Oman's fish exports to the European Union (EU) since mid-2000s has caused legitimate concerns among policy makers and exporters. However, the potential reasons for the decline have not been fully elucidated. To ascertain the underlying causes of such decline, this article empirically examines the relative significance of potential economic and policyrelated factors such as border rejections influenced by health and safety measures, supply and demand capacities, domestic ban, domestic structural changes, and exchange rate fluctuations on Oman's fish exports to the EU. The results obtained from the dynamic unbalanced panel data model for the period 2000-2013 indicate that fish exports to the EU markets have been influenced by the domestic ban on export, domestic structural changes, and exchange rate fluctuations rather than by border rejections. These findings provide important signal to policy makers of the respective countries in designing adaptive policy approach to address such influences.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Fish Exports and The Eu Ban: A National Contextmentioning

confidence: 99%

Domestic Ban Versus Border Rejections: A Case of Oman’s Fish Exports to the EU

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…The literature shows different approaches that determine the main factors affecting the frequency of consumption of diverse seafood products, such as the Ordered Probit models (Almendarez-Hernández et al, 2017;Kumar et al, 2008;Lee and Nam, 2019;Myrland et al, 2000;Terin, 2019;Thong and Solgaard, 2017), the ordered logit models (Almendarez-Hernández et al, 2017;Santeramo et al, 2017), the theory of planned behaviour as a conceptual framework (Higuchi et al, 2017;Thong and Olsen, 2012;Tomić et al, 2016;Tuu et al, 2008;Verbeke and Vackier, 2005;Yousuf et al, 2019), the structural equation models Olsen, 2009, 2007); some regression models such as the ordinary least square regression (Cavaliere et al, 2019), the logistic regression model (Herrmann et al, 1994), the multiple linear regression (Can et al, 2015) and the hierarchical regression models (Hall and Amberg, 2013); and other statistical analyses such as ANOVA (Almeida et al, 2015), frequency distribution (Islam et al, 2018) and Spearman's correlations (Murray et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Other factors that have been analysed and affect the frequency of consumption of seafood products are the profession or occupation (Almendarez-Hernández et al, 2017; Can et al, 2015;Herrmann et al, 1994;Lee and Nam, 2019), the living location (Herrmann et al, 1994;Islam et al, 2018;Lee and Nam, 2019;Myrland et al, 2000;Thong and Solgaard, 2017), the ethnic group (Kumar et al, 2008), the origin of the product (Kumar et al, 2008), the packaging presentation (Kumar et al, 2008), the type of store (Kumar et al, 2008), the preference for certain species (Lee and Nam, 2019), the nationality (Yousuf et al, 2019) and the seasonal period (Can et al, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of fishery and aquaculture products consumption at home in the EU28

Cantillo

Martı́n

Román

2021

Food Quality and Preference

View full text Add to dashboard Cite

The European Union (EU) is the world's largest market for fishery and aquaculture products (FAPs) in nominal terms. Given the importance of these products, EU authorities and policy-makers are continuously monitoring consumer preferences and attitudes, analysing whether or not the implementation of EU policies and regulations improves the market conditions. For example, the Eurobarometer (European Union, 2018a) surveyed 27,732 EU residents including a specific module to analyse the fishery and aquaculture EU market. In this study, the dataset is used to estimate Ordered Probit models using effects coding and their marginal effects to identify the main determinants of the frequency of FAPs at-home consumption. Results indicate that the highest probability to consume more frequently FAPs is related to considering that one of the main reasons for buying or eating fishery and aquaculture products is because they are healthy, while the highest probability to consume less frequently FAPs is related to consumers who do not understand at all the information accompanying the products. Similarly, other important reasons for consuming FAPs more frequently are their good taste and low relative price. Also, results indicate a higher frequency of consumption of FAPs for those consumers who are over 55 years of age, are wealthy, have a wild product preference, live in a household of 3 persons or more and are very satisfied with their lives. To our best knowledge, there is not a similar approach in the current literature that considers such an extensive sample which is representative of all the countries that conform the EU28. Results provide valuable information especially for producers and authorities in terms of marketing and policy analysis.

show abstract

“…Also, the results indicated that the fish consumption frequency was higher on women, people aged over 40 and living in coastal regions. Yousuf et al (2019), in Oman, concluded that nationals, members of smaller household size and fresh fish consumers were more likely to consume fish, while lower-income consumers and those who are habit persistent were more eager to purchase fish more frequently. Rortveit and Olsen (2007) for Danish consumers, found that the consideration set size (number of fish alternatives) had a positive effect on the consumption frequency; and that attitude and especially knowledge impacted positively and directly on the consumption frequency of fish, and indirectly through set size.…”

Section: Theory Of Planned Behavior As a Conceptual Framework And Strmentioning

confidence: 99%

A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28

Cantillo

Martín

Román

2020

BFJ

View full text Add to dashboard Cite

PurposeThe purpose of this investigation is to develop a hybrid fuzzy TOPSIS methodology in order to understand in a practical and integrated way, the consuming and buying behavior of EU residents towards Fishery and Aquaculture Products (FAPs), with an emphasis in the consumption and buying frequency.Design/methodology/approachData were obtained from the Special Eurobarometer Survey (European Union, 2018b), which is a survey of 27,732 EU residents with different socio-demographic characteristics that represent the 28 EU countries. A hybrid fuzzy TOPSIS methodology that synthesizes the consuming and buying behavior of the EU residents toward FAPs was developed.FindingsThe results show that among the countries, Spain has the highest consumption and buying patterns of FAPs, while among the generations it corresponds to the residents born between 1928 and 1945. In addition, there are important differences that depend on the country of residence as well as the generation of the residents. The elasticity analysis evidenced that marketing strategies would have the biggest impact in the countries located in the Central-Eastern zone of the EU and on the generation formed by the people born after 1980.Originality/valueAlthough in the literature there are many studies that aimed to understand the behavior of consumers for FAPs, few investigations have focused on analyzing and integrating both the consumption and buying behavior, and to our best knowledge, there are no studies providing a methodology that allow making comparisons between different countries regarding the consumption and buying behavior of FAPs.

show abstract

Preferences and Intentions of Seafood Consumers in Oman: An Empirical Analysis

Cited by 16 publications

References 63 publications

Domestic Ban Versus Border Rejections: A Case of Oman’s Fish Exports to the EU

Domestic Ban Versus Border Rejections: A Case of Oman’s Fish Exports to the EU

Determinants of fishery and aquaculture products consumption at home in the EU28

A hybrid-fuzzy TOPSIS method to analyze the consumption and buying behavior of fishery and aquaculture products (FAPs) in the EU28

Contact Info

Product

Resources

About