The causation conundrum in climate change litigation has long plagued the legal and scientific communities. This article explores the role of climate attribution theory in solving the loss and damage causation puzzle in climate change litigation. First, it describes the limitations of traditional causation theories in climate change litigation and analyzes the performance of emerging theories, such as the “substantial contribution” theory and the “market share” theory, in addressing this issue. The paper then evaluates the application of climate attribution theory in actual litigation through specific case studies and puts forward a series of policy recommendations. These include strengthening funding and support for climate attribution research, establishing a platform for interdisciplinary cooperation, developing a unified standard of proof, promoting public and judicial education, and promoting the improvement of the international legal framework. Finally, the paper points out the main problems and limitations in the application of climate attribution theory and proposes key directions for future research. The paper posits that by fostering continuous scientific research and enhancing the legal framework, climate attribution theory will assume a more prominent role in climate change litigation and facilitate the process of global climate governance.

This article emphasizes the critical role of the subsidiarity principle in facilitating adaptation to climate change. Employing a comparative legal analysis approach, the paper examines how this principle, traditionally pivotal in distributing powers within the European Union, could be adapted globally to manage climate change displacement. Specifically, it explores whether subsidiarity can surmount the challenges posed by national sovereignty and states’ reluctance to cede control over domestic matters. Findings indicate that while domestic efforts and local adaptations should be prioritized, international intervention becomes imperative when national capacities are overwhelmed. This article proposes that ‘causing countries’ and the global community bear a collective responsibility to act. The Asia-Pacific region, characterized by diverse and vulnerable ecosystems like small islands, coastal areas, and mountainous regions, serves as the focal point for this study. The research underscores the necessity of developing policies and further research to robustly implement the subsidiarity principle in protecting climate-displaced populations.

Climate change is causing serious impacts, especially in sub-Saharan Africa, where poverty rates could increase by 2050 if climate and development measures are not taken. The health consequences are diverse and include transmissible and non-transmissible diseases. The objective of this study is to analyze the strategies implemented in health facilities in the Greater Lomé health region to cope with the impacts of climate change. The survey was carried out in 23 health facilities in 2022. It was a descriptive cross-sectional study which was carried out from July to September 2022. Qualitative and quantitative approaches were used. Non-probability sampling method and purposive choice technique were used. Four techniques made it possible to collect the data, namely documentary analysis, survey, interview and observation. The collected data were processed with Excel software and exported to SPSS for analysis. In total, 112 people were surveyed out of 161 planned. According to the results, 52.68% of health facilities did not implement adaptation strategies, 47.32% used adaptive strategies depending on to their means. Strategies exist but at low percentages due to limited technical and financial resources and the insufficiency of innovative policies. These strategies need to be supported in order to make them more effective. The study provides a basis for adopting innovative strategies and encouraging financing for adaptation actions.

The purpose of this study is to analyze issues related to the use of green technology and to provide a theoretical basis for how the application of green technology in agriculture can reduce inequality. Additionally, the study aims to explore policy alternatives based on the analysis of inequality reduction issues through farmer surveys. For this purpose, this study used survey data to analyze farmers’ perceptions, acceptance status, willingness to accept green technology, and perceptions of inequality. The quantitative analysis was performed to analyze the relationship between the acceptance of green technology and perceptions of inequality. The results confirmed that access to information, perception of climate change, and awareness of the need to reduce greenhouse gas emissions are major factors. In particular, the higher the satisfaction with policies regarding the introduction of green technology, the lower the perception of inequality. Specifically, the acceptance of green technology showed a significant positive correlation with access to information, perception of climate change, and awareness of the need to reduce greenhouse gas emissions, while perceptions of inequality showed a significant negative correlation with policy satisfaction. In conclusion, green technology in agriculture is vital for reducing climate change damage and inequality. However, targeted policy support for small-scale farmers is essential for successful adoption. This study provides policy implications related to the application of green technology in the agricultural sector, which can promote sustainable agricultural development.

Freshwater problems in coastal areas include the process of salt intrusion which occurs due to decreasing groundwater levels below sea level which can cause an increase in salt levels in groundwater so that the water cannot be used for water purposes, human consumption and agricultural needs. The main objective of this research is to implementation of RWH to fulfill clean water needs in tropical coastal area in Tanah Merah Village, Indragiri Hilir Regency, with the aim of providing clean water to coastal communities. The approach method used based on fuzzy logic (FL). The model input data includes the effective area of the house’s roof, annual rainfall, roof runoff coefficient, and water consumption based on the number of families. The BWS III Sumatera provided the rainfall data for this research, which was collected from the Keritang rainfall monitoring station during 2015 and 2021. The research findings show that FL based on household scale RWH technology is used to supply clean water in tropical coastal areas that the largest rainwater contribution for the 144 m² house type for the number of residents in a house of four people with a tank capacity of 29 m² is 99.45%.