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ASCOR framework: methodology note version 1.2
Get PDFAssessing Sovereign Climate-related Opportunities and Risks (ASCOR) is an investor-led project to develop a free, publicly available, independent tool that assesses countries on climate change. The ASCOR framework is composed of indicators for the transparent assessment of the progress made by countries in managing the low-carbon transition and the impacts of climate change. ASCOR aims to inform, support and facilitate investors’ decision-making on sovereign bonds and enable a more explicit consideration of climate change. The project hopes to facilitate engagement and dialogue between issuers and investors and drive financing for climate change mitigation and adaptation. ASCOR will also enable countries to showcase their improvements on the transition to a low-carbon and resilient future by providing independent and open-source assessments of their targets and policies
Does the long‐term care insurance policy meet the care needs of older individuals with cognitive impairment? a nationwide quasi‐experimental study
Get PDFBackground: Unmet care needs and caregiving burdens for individuals with cognitive impairment (CI) are pressing global concerns, particularly in China. In 2016, China launched a long‐term care insurance (LTCI) program, yet its impact on unmet care needs for individuals with CI remains unclear. Method: This quasi‐experimental study leveraged data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS; 2011, 2014, 2018, 2021), comparing outcomes before and after LTCI implementation. Participants in LTCI pilot cities were the intervention group, while those in non‐pilot areas were assigned as controls. Cognitive status was identified via Mini‐Mental State Examination scores, and unmet care needs were defined as the absence or inadequacy of needed care. A two‐way fixed‐effects difference‐in‐differences (TWFE‐DID) model was employed to estimate the impact of LTCI. Result: LTCI implementation reduced the risk of unmet care needs by 4.3% (95% CI: ‐0.083, ‐0.003; p = 0.036) and informal family caregiving time by 25.3% per week (95% CI: ‐0.503 to ‐0.003; p = 0.046). Benefits on unmet care needs were greater among urban residents (β: ‐0.050 vs 0.024; p = 0.01) and individuals aged ≥90 years (β: ‐0.075 vs 0.034; p < 0.001). The results remained steady within a set of robustness check. Conclusion: China's LTCI program significantly reduced unmet care needs and alleviated family caregiving burdens for older adults with CI, particularly among urban residents and those aged 90 years old and over. Expanding LTCI coverage to rural populations and younger individuals could enhance equity and broader benefits
Spatial economic analysis in a globalised world
No full textThis editorial introduces the ten papers included in this issue of Spatial Economic Analysis (SEA). All the papers are, in different ways, related to the globalisation of the spatial economy, either through processes of increased integration of knowledge, trade and investment, or through aspects which are specifically relevant to emerging countries' economies. Increased attention to and from emerging economies is proving to be fruitful for the discipline. In particular, two papers address issues related to foreign direct investment (FDI), from the estimation of their determinants to their differential impacts at different stages of the FDI process in non-OECD countries, and to the role of shared corridors in Sub-Saharan Africa. This issue further presents studies investigating the spatial sub-national determinants and consequences of the concentration of innovative abilities, related diversification, levels of informality, gender-biased poverty, manmade disasters and rainfall, the syncing of regional cycles, and violence
Gentrification from the sky: using remote sensing and machine learning for urban change detection
No full textGentrification is an urban phenomenon marked by socioeconomic shifts that can displace long-term residents and increase inequality. Accurate measurement is essential for effective urban planning and equitable development. Traditional reliance on census data is costly, slow, and lacks the spatial and temporal resolution needed to detect neighborhood-level changes in real time. This study addresses these challenges by combining open satellite imagery with machine learning techniques to quantify gentrification more effectively. By analyzing high-resolution imagery, we detect physical changes—such as shifts in building density, rooftop materials, and green spaces—that are linked to gentrification but often overlooked by census-based approaches. Using the Greater London Area as a case study, our method improves measurement accuracy by up to 8%, achieving a balanced accuracy of 77% across 4,085 neighborhoods. Even a small improvement in accuracy can enable better identification of at-risk neighborhoods, helping policymakers intervene before displacement pressures become irreversible
The limits of alarm: how climate scenarios fail to increase willingness to act and pay for climate change policies
Get PDFDoes exposure to information on future climate scenarios shape public acceptance and willingness to pay for climate mitigation? This article addresses this question using two vignette experiments embedded in two different surveys in Spain to causally examine how exposure to information about future alternative climate scenarios affects an individual’s commitment to climate efforts. The findings show that such exposure has no significant effect on individuals’ support for publicly funded climate initiatives or on their willingness to contribute financially. These results suggest that priming the public with varying projections of climate change impacts is unlikely to enhance support for climate change policies, underscoring the need for alternative strategies to foster public support
Does Mamdani’s victory show that ‘radical’ is the new normal?
Get PDFJan H. Wasserziehr argues that whilst Zohran Mamdani’s victory in New York may have surprised the Democratic establishment, it tallies with an increasingly polarised US electorate who are deserting the ‘centre’ in search of real change and radical ideas
How AI can make foreign language films more immersive
Get PDFForeign-language films offer audiences the opportunity to engage in cross-cultural experiences, however traditional localisation methods risk disrupting immersion. Yangting Li explores her recent research paper showing how artificial intelligence (AI)-driven technology is providing ground-breaking solutions
The UK media's silence on the Palestine Action activists' hunger strikes is a deliberate editorial choice
Get PDFLSE’s Professor Bart Cammaerts discusses the lack of coverage of the hunger strikes of imprisoned Palestine Action activists in the UK media
Natural resources co-management, green transition and divided societies: zones of agreement in the Cyprus case using a conjoint survey experiment
No full textThe paper presents key findings from a public opinion survey and conjoint experiment with a representative sample of 800 Greek Cypriots, examining public attitudes toward natural resources co-management in the Eastern Mediterranean and the green transition in the context of the Cyprus Problem. It examines views on climate change, joint energy projects, political arrangements, and possible confidence building measures (CBMs) that could build trust between the two communities. The major finding of this research is that it identified potential peace packages accepted by a majority of the Greek Cypriot voters that include Cyprus-Turkey co-operation as part of a comprehensive settlement and wider regional co-operation on energy in the Eastern Mediterranean