To achieve the announced 2060 carbon neutrality goal, the government of China has recently established its “1 + N” legal and policy framework. However, the emerging autonomous vehicle technology, which is developing rapidly, is not included. Considering the significant potential of autonomous vehicle technology in reducing carbon emissions from the transportation sector, whether and how to integrate it into the current framework can be crucial for China.

This paper empirically investigates the heterogeneous impacts of the media sentiment about policies with different themes on the real estate market in China. Based on the policy texts collected from both official and unofficial sources, we construct sentiment indices to capture the sentiment about policies with different themes, including real estate policies, fiscal policies, monetary policies, land policies, healthcare policies, household registration policies, and education policies, using text mining methods.

One of the world’s major issues is climate change, which has a significant impact on ecosystems, human beings, agricultural productivity, water resources, and environmental management. The General Circulation Models (GCMs), specially the recently released (coupled model intercomparison project six) CMIP6 are very indispensable to understand and support decision makers to identify adaptation strategies in response to future climate change in a basin. However, proper selection of skillful GCMs and future climate assessment is a prior task to climate impact studies.