Despite the remarkable development in its fishery sector, the penetration rate of fishery insurance in China is considerably low. This paper examines the key factors that contribute to the poor performance of fishery insurance, in particular aquaculture insurance, in China. The doublebounded dichotomous choice contingent valuation method (DB DCCVM) is used to investigate fish farmers' willingness to pay (WTP) for insurance, based on a survey of 1,280 fish farmers in three coastal cities in China. The results indicate that fish farmers' decisions on adoption of an insurance scheme depend on various factors, among which magnitude of financial loss, fish farmers' awareness toward insurance and their education all have a positive effect on the WTP. However, household income and farming experience are found to have a negative effect. Furthermore, the mean WTP for aquaculture insurance is estimated to be CNY579 (US$90.05) 1 per household, which is equivalent to 1.5% of mean annual household income. These results provide several policy implications for the Chinese government, insurance companies as well as researchers.

China's commitment to building the country into a maritime power has seen a rapid growth in its marine economy in recent years. In the meantime, increasing concern over environmental degradation and sustainability has made the government to shift attention from marine development to marine ecosystem protection by formulating more environmental policies. There has been a longstanding debate between traditional views and well-known Porter Hypothesis (PH) over the impact of environmental regulation on the competitiveness and efficiencies of firms and industries. Aiming to obtain empirical evidence of the possible impact, this paper uses the Super-Efficiency Slacks-Based Measure (SE-SBM) model to calculate economic efficiency considering undesired outputs and the system Generalized Moment Method (GMM) to examine the relationship between the two variables, using data from 11 provinces and cities in China's coastal areas. The results seem to support the presence of the PH in Chinese marine economy and show a U-shaped relationship between environmental regulation and economic efficiency. In addition, it is also found optimization of industrial structure can impose a positive effect on economic efficiency, while capital investment and science and technological innovations may have a negative effect. Based on these results, the paper puts forward some recommendations for policy makers.

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This paper aims to provide a better understanding of the current situation of natural resources consumption in the world and its relationship with the level of social development. The Ecological Footprint concept is used to indicate human beings' environmental impact, and the Human Development Index (HDI) is used as a process for the social development level. Based on the dataset of 136 countries from the World Wildlife Fund (WWF), we calculate the Gini coefficients of the total Ecological Footprint per person (EF) and its sub items, i.e., Renewable Resources Footprint per person (REF) and Energy Footprint per person (EEF). The results indicate that significant inequality exists in natural resources consumption among the 136 countries from 1996 to 2005, and inequality of the EEF is the largest. We also calculate the Lorenz asymmetry coefficients of EF, REF and EEF, which are all greater than 1, indicating that the inequality results from some countries having extremely high resources consumption. The regression analyses of EF, REF and EEF with HDI, respectively, are made to show that there is a significant U-shaped relationship between natural resources consumption per person and the social development level rather than an inverted U-shaped relationship. Therefore, the Environmental Kuznets Curve (EKC) hypothesis is not supported by this research.

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