The Mekong Delta region has been seriously affected by climate change, with increasing temperatures, sea-level rise, and salinization strongly impacting agricultural activities of the region. Recent studies have shown that groundwater exploitation also contributes significantly to land subsidence throughout the delta. Thus, combating climate change now makes it necessary to design strategies and policies for adapting to and mitigating climate change and subsidence, not only at the individual level (mainly farmers), but also at the institutional level (province and region).

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.

It is important to understand how residents in highly vulnerable natural and social environments, e.g., remote mountain villages, adapt to extreme climate shocks. Taking Shenmu Village in Xinyi Township, Nantou County, central Taiwan, as an example, this study examined the adaptive capacity of residents in this remote and mountainous area from the perspective of social capital and institutions. The empirical data for this study were collected from two sources: the Public Participation Geographic Information System Workshop and in-depth interviews with the residents of Shenmu Village.