We study the development of aquaculture activities in Chile and the impacts of regulatory changes on location decision for aquaculture production centers. Our study considers a descriptive analysis on the spatial and temporal development of aquaculture production centers. Next, using a panel data we estimate a site selection model to explore determinant factors of site choices for aquaculture production. Our results suggest a clear pattern for the spatial-temporal development of Chilean aquaculture.

This study uses a choice experiment to characterize market segments (consumer preferences heterogeneity) based on three attributes of seafood (mussels) that are affected by ocean acidification: shell appearance, meat color, and nutritional composition. Using a sample of 1,257 individuals from two main cities in Chile, we estimate both the Mixed Logit model and the Latent Class model. We use the individual-specific posterior (ISP) parameters’ distribution to categorize consumers’ heterogeneity based on the signs and intensity (i.e., like or dislike dimension) of these ISPs.

The experiences of aquacultural firms regarding past environmental events and their present risk perceptions of environmental and social threats are key factors in understanding their adaptive response. This study aims to understand marine aquaculture firms' adaptive behavior considering firms' heterogeneity and the relationship between past experiences, present perceptions, and willingness to invest in adaptation.

This study investigates the effectiveness of sustainability labels, environmental attitudes, food safety concerns, and knowledge on Vietnamese consumer preferences for sustainably farmed shrimp. Mixed logit and latent class models were applied to estimate utility functions based on 459 samples collected using a choice experiment. The results indicate that Vietnamese consumers prefer sustainably farmed shrimp to conventionally farmed shrimp. Also, both food safety concerns and consumer knowledge vigorously promote sustainably farmed shrimp choices.

Marine litter pollution is a global environmental problem, found in all oceans and with substantial impacts on marine ecosystem services, maritime economic activity, public health, and aesthetics. To develop socially acceptable policies to foster behavioral change, it is necessary to understand the perceptions of practical measures to curb marine litter pollution by key stakeholders.

Marine litter has different impacts on fisheries by damaging gear, reducing catch, and necessitating time to repair or clean nets, making it a significant problem for this industry. This article explores the sources, types, and distribution of marine litter and how production risk and technical efficiency in the trawl fisheries in Vietnam are affected by the presence of litter. The empirical analysis is conducted using data collected from a sample of 208 trawl fishers in Phu Yen, Khanh Hoa, and Ninh Thuan provinces.

Environmental performance indicators are key to monitoring the sustainability of production processes. In the salmon industry, there is a growing concern about the excess of nutrients that have accumulated at the bottom of marine ecosystems and the negative externalities of those nutrients on the environment. In this paper, we measure environmental performance in the salmon industry in Chile by applying a set of data envelopment analysis (DEA) models. In these models, we incorporate pollutants as undesired outputs of the production process.