Public support for climate adaptation aid and migrants: a conjoint experiment in Japan

We examine public support in Japan for overseas climate adaptation assistance via foreign aid and accepting immigrants. Using a survey-embedded conjoint experiment (N=2,815), we focus on seven attributes of an adaptation policy package: (1) the continent in which the country is located; (2) the types of extreme weather event this country faces; (3) the volume of climate aid; (4) the number of climate migrants (5) Japanese exports; (6) Japanese imports, (7) the country’s record of voting with Japan in the United Nations. We find that while respondents are indifferent to aid volume, their support diminishes as the number of migrants increases. Moreover, support is higher for Asian countries, that provide export markets, vote with Japan, and where the effects of climate change are gradual. Importantly, we find that public support is not influenced by benchmarking of Japan’s or peer G7 countries’ past aid or immigration levels.

Spatiotemporal and Synchronous Monitoring of Drought in the Dry Corridor of Central America

<p>Drought is often conceptualised as an extreme weather event generated by anomalies in water resources availabilities. Understanding the behaviour and spatiotemporal distribution of drought events has become very important due to the possible teleconnections of drought propagation patterns. This understanding and if is possible representation of teleconnections between patterns could lead to better prediction and management of extreme events.<br>This study develops a methodology to monitor spatiotemporal drought events in the dry corridor of Central America using the drought index SPI and SPEI for the period 1981 to 2020.<br>This methodology consists of five stages. 1) collection and quality validation of the data sets used. 2) ERA5 and Observation datasets allow calibrating the precipitation and temperature values from historical gauge measurements. 3) Then, by the estimation and trend analysis of the drought index in different time scales (3, 6, 12 months) an initial baseline is defined. 4) Spatiotemporal association algorithms (based on computer vision) are used to characterise and monitoring the most extensive drought events. For this, the extreme and severe events (DI values below -1) threshold is estimated. 5)  Synchronic Integration between temporal patterns and spatial propagation is carried out to evaluate possible interactions or connections of drought events along the dry corridor of Central America. These results provide valuable information to evaluate the impacts on different sectors threatened by drought throughout the territory. This work presents preliminary results of an extended project looking at the dry corridor in Central America. </p>