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.

Regulatory enforcement of product safety standards given health concerns, whether it is in romaine lettuce, smartphones or cars, is emerging to be a challenge for global public health. This is particularly true for developing economies with fragile institutions. In this context, recent studies on Indian pharmaceutical markets provide evidence suggesting that the sector is a hub for substandard quality of medicines.

Contractual relationships regarding land tenure in agriculture are diverse. From formal systems such as landowner and fixed rent, sharecropping emerges as an alternative in which the owner of the land shares the benefits and risks of the results with tenants. Therefore, land tenure systems differ in terms of the incentives that the landowner offers to workers, which can have an impact on productivity and production risk.

We investigate the problem of choosing environmental regulations to control a multilateral, spatially heterogeneous pollution externality. There are three sources of inefficiency in this problem; the number of firms, their locations and their production/emissions levels. A first-best policy requires three instruments to address each of the sources of inefficiency, but such policies are not practical in most settings.

This paper develops a new class of dynamic models for forecasting extreme financial risk. This class of models is driven by the score of the conditional distribution with respect to both the duration between extreme events and the magnitude of these events. It is shown that the models are a feasible method for modeling the time-varying arrival intensity and magnitude of extreme events. It is also demonstrated how exogenous variables such as realized measures of volatility can easily be incorporated.

Organizations' pro-environmental intentions, like declaring environmental policies, are vital in determining organizations' pro-environmental behavior. However, the number of firms that move from intention to action is small. This study seeks to determine the organization's characteristics that influence firms' probability of declaring environmental policies and establish whether these policies or pro-environmental intentions are a good predictor of active pro-environmental behaviors.

We compared different econometric specifications to model the use of medical services in Chile, focussing on visits to general practitioners and specialist physicians. The evaluated models are the Poisson, Negative Binomial, Zero Inflated Poisson and Negative Binomial, two-step Hurdle model, sample-selection Poisson, and Latent Class model.

Climate change will impose high costs on different societal actors, including firms and organizations, forcing them to adapt to this new situation. Although the relevance of implementing adaptation strategies is widely recognized, studies on firms' adaptation to climate change are still in their infancy, especially regarding small and medium enterprises.

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.