This study applies Value-Belief-Norm (VBN) theory to investigate fishers' pro-environmental behavioral intention and their support for policies to reduce marine litter. While pro-environmental behavioral intention is often associated with personal environmental intention at the household level, policy support represents their support for government action at the political level. Therefore, we examine whether fishers are willing to engage in both of these dimensions. Data from 369 Vietnamese fishers are analyzed using structural equation modeling with FIMIX-PLS and PLS-POS.

Water pollution poses a critical challenge, especially in fast-growing regions, with profound implications for human well-being. Marginal abatement cost (MAC) estimation is crucial for designing efficient water pollution controlpolicies.

Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low- and middle-income countries, where rapid demographic change is driving increased exposure. These areas also tend to lack high-precision hazard mapping data with which to better understand or manage risk. To address this information gap a number of global flood models have been developed in recent years. However, there is substantial uncertainty over the performance of these data products.