Cost effective policies for alternative distributions of stochastic water pollution

This study investigates the role for cost effective coastal water management with regard to different assumptions of probability distributions (normal and lognormal) of pollutant transports to coastal waters. The analytical results indicate a difference in costs for a given probability of achieving a certain pollutant load target whether a normal or lognormal distribution is assumed. For low standard deviations and confidence intervals, the normal distribution implies a lower cost while the opposite is true for relatively high standard deviations and confidence intervals. The associated cost effective charges and permit prices are higher for lognormal distributions than for normal distributions at relatively high confidence intervals and probabilities of achieving the target. An application to Himmerfj?rden--an estuary south of Stockholm, Sweden--shows that the minimum costs of achieving a 50 per cent reduction in nitrogen load to the coast varies more for a lognormal than normal probability distribution. At high coefficient of variation and chosen probability of achieving the target, the minimum cost under a lognormal assumption can be three times as high as for a normal distribution.     

Development and non-indigenous species at the global scale

This paper investigates the explanatory power of development, prosperity and regulatory capability as proximate causes of non-indigenous species (NIS) occurrence in different countries, doing this by statistically analysing a global cross-sectional data set. Since the quantification of development is subject to much discussion, two different indicators are tested: gross domestic product (GDP) per capita and the United Nations human development index (HDI). A corruption index is used as an indicator of regulatory capacity. In addition, variables capturing country openness, which facilitates NIS introduction, and habitat conditions, which determine NIS establishment, are included as explanatory variables. The GDP indicator together with the corruption index fits the NIS data best, where the number of NIS is higher in countries with larger incomes. However, countries with relatively high income but low institutional capacity show a larger number of NIS than countries with a similar level of income but with higher institutional capacity. The results also point to the significant contributions of openness and habitat fragmentation to NIS occurrences in the countries.