Where Are the Fish Landed? An Analysis of Landing Plants in Norway

Cojocaru, Andreea; Asche, Frank; Pincinato, Ruth Beatriz Mezzalira; Straume, Hans‐Martin

doi:10.3368/le.95.2.246

Cited by 42 publications

(18 citation statements)

References 40 publications

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“…Like the data used in other studies (e.g., Sogn-Grundvåg, et al, 2019;Cojocaru et al, 2019), our data have a censoring issue, as some spells may have begun before and/or ended after the sample period. In the literature, the hazard rate (and survival function) is estimated by using the Kaplan-Meier (product-limit) estimator, which is robust to censoring (Bojnec & Fert} o, 2012).…”

Section: Empirical Setting and Datamentioning

confidence: 99%

“…For example, Straume (2017) and Asche, et al (2018) investigate trade duration in the salmon and cod markets, respectively, and investigate trade duration of Norwegian seafood exports. Wang, Tran, Wilson, Chan, and Dao (2019) analyze the impact on trade duration of the Association of Southeast Asian Nations seafood exports, Zhang and Tveterås (2019) study how the EU trade policies affect trade duration of seafood from developing countries, and Cojocaru et al (2019) look at the duration of landing locations. However, Sogn-Grundvåg, et al (2019) is the only study using duration analysis at the retail level.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Brands, Labels, and Product Longevity: The Case of Salmon in UK Grocery Retailing

Asche

Sogn‐Grundvåg

Zhang

et al. 2021

Journal of International Food & Agribusiness Marketing

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In recent years, the number of ecolabels and country-of-origin labels has grown substantially in seafood markets globally. This makes it more difficult for retailers and producers to communicate and demonstrate their differentiating claims to consumers. In addition, it has recently been suggested that there are both costs and supply chain benefits associated with labeling. This paper uses duration analysis to investigate factors that influence product longevity for salmon in grocery retailing. Product longevity influences cost as a prolonged product lifetime reduces costs related to product development and marketing. As has been found for wild-caught whitefish, different retail chains appear to vary in their product labeling strategies. However, in contrast to wild fish, farmed salmon with ecolabels or domestic country-of-origin labels appear to have shorter product life cycles compared to products without ecolabels or with foreign country-of-origin labeling. This is most likely due to the higher control of the production process found in aquaculture.

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Section: Empirical Setting and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Brands, Labels, and Product Longevity: The Case of Salmon in UK Grocery Retailing

Asche

Sogn‐Grundvåg

Zhang

et al. 2021

Journal of International Food & Agribusiness Marketing

Self Cite

View full text Add to dashboard Cite

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“…The fisheries sector is exposed to five kinds of risks, viz., natural, ecological, market, technical, and management explained in detail in the coming sections of this study. Understanding different types of risks and their sources is the only way for effective fishery management (Alam et al, 2019;Cojocaru et al, 2019). The following sections of this study are arranged according to this sequence.…”

Section: Introductionmentioning

confidence: 99%

The Role of Intestinal Microbiota in Chicken Health, Intestinal Physiology and Immunity

2020

THE JAPS

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Although, the fisheries sector is the backbone of agriculture, however, published literature does not document current risk types faced by this sector. The primary objective of this first-time study is to identify various types of current risks faced by global fisheries in a comprehensive manner. It is envisaged that this study will not only help to understand and manage fisheries resources in a better way but it will also provide directions for further research. According to the findings of this study, global fisheries are exposed to five main types of risks, viz., natural, ecological, market, technical, and management. Typhoons, tsunamis, floods, earthquakes, accelerated beach erosion, and oceanic climate changes such as high wave action, temperature fluctuation, and high salinity are the reported natural risk factors faced by this sector. On the other hand, overfishing, aquatic pollution, habitat degradation, abundance of competitive exotic species, genetic stock structure changes, fisheries resource enhancement, and land reclamation projects are the major identified ecological risks. The market risk faced by the global fisheries includes price fluctuation, high financial risk faced by fishermen, changes in the rights to use the resources, employment loss, asymmetric market information, lack of investment, and meager loan support. Whereas, technical risk is caused by the hull or engine-related activities, low degree of mechanization, automation, and industrialization. While, work-related fatalities, loss of fishing gears, fishing mortality, lack of legally harvest strategies, unreasonable production plan of aquaculture, an insufficient supply of fishery insurance, illegal fishing, and uncertainty associated with stock assessments together constitute management risk faced by global fisheries.

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“…Farmed salmon has become a major export commodity for Norway. While wild fish for a very long time made up the major share of Norway's seafood exports, salmon farming today is the biggest source of income in the aquaculture industry, accounting for approximately 68% of the Norwegian fish exports (Cojocaru et al, 2019;Straume et al, 2020). In 2018, the salmon export volume was 1.1 mill tons, worth NOK 67,8 billion, or roughly USD 7.3 billion according to the Norwegian Seafood Council 2017.…”

Section: Introductionmentioning

confidence: 99%

Modeling the return distribution of salmon farming companies: A quantile regression approach

Steen

Jacobsen

2020

Aquaculture Economics & Management

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As the companies have grown larger, the salmon farming industry has received increased attention from investors, financial analysts and other representatives of the financial community. Still, little is known about the risk and return characteristics of salmon farming companies' shares. This paper approaches this topic by applying quantile regression to investigate the relationship between risk factors and monthly stock price returns over the entire return distribution at both industry and firm level. The results show that the overall market return, changes in the salmon price and the lagged returns for the major company in the industry have a positive impact on company stock price returns. The risk factor sensitivities are quite stable across quantiles at industrylevel, there are substantial differences at the firm level, but formal testing cannot reject the hypothesis that the quantiles are equal. This implies that the relationship between risk factors and stock returns may vary under different return levels reflected in the salmon price cycles. We show how the results can be implemented and applied in a Value-at-Risk analysis.

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Where Are the Fish Landed? An Analysis of Landing Plants in Norway

Cited by 42 publications

References 40 publications

Brands, Labels, and Product Longevity: The Case of Salmon in UK Grocery Retailing

Brands, Labels, and Product Longevity: The Case of Salmon in UK Grocery Retailing

The Role of Intestinal Microbiota in Chicken Health, Intestinal Physiology and Immunity

Modeling the return distribution of salmon farming companies: A quantile regression approach

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