Policy evaluation
Policy evaluation on World Data Ocean: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on policy evaluation in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around policy evaluation, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
Evaluation of China’s marine ecological environment protection policies: a quantitative analysis of policy texts based on PMC indices
A rigorous quantitative analysis of China's marine ecological environment protection policies, utilizing the PMC index model, reveals valuable insights for global ocean stewardship. Examining 30 policy texts issued between 2015 and 2024, the study demonstrates an overall strong performance—with a mean PMC index of 6.243—across key areas including resource allocation and social impact. While excelling in policy evaluation and focus, opportunities exist to refine policy scope and timeliness.
Do maritime safety actions deliver lasting risk reduction? Evidence from AIS-based near-miss analysis using difference-in-differences
Maritime administrations often implement targeted safety actions to reduce collision risk, yet rigorous empirical evidence of their lasting impact remains scarce. A recent study addresses this gap by evaluating a special safety action in Ningbo–Zhoushan waters using a novel AIS-based framework and difference-in-differences design. Analysis of near-miss events, measured through vessel trajectory data, revealed no statistically significant reduction in risk indicators. While the methodology demonstrates the value of behavioral data for policy evaluation, findings suggest caution regarding the action's effectiveness, particularly given seasonal influences.