npj climate action最新文献

A systematic analysis of disability inclusion in domestic climate policies. 国内气候政策中残障包容的系统分析。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-03-03 DOI: 10.1038/s44168-025-00228-3

Sébastien Jodoin, Amanda Bowie-Edwards, Katherine Lofts, Sajneet Mangat, Bianca Adjei, Alexandra Lesnikowski

引用次数: 0

Behavioral savings sessions increase the pursuit of solar products among refugees in Uganda. 行为储蓄课程提高了乌干达难民对太阳能产品的追求。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-03-29 DOI: 10.1038/s44168-025-00212-x

Sarah Elven, Jorge Luis Castañeda Núñez, Samantha de Martino, Michelle Dugas, Sayan Kundu

{"title":"Behavioral savings sessions increase the pursuit of solar products among refugees in Uganda.","authors":"Sarah Elven, Jorge Luis Castañeda Núñez, Samantha de Martino, Michelle Dugas, Sayan Kundu","doi":"10.1038/s44168-025-00212-x","DOIUrl":"10.1038/s44168-025-00212-x","url":null,"abstract":"De facto exclusion of vulnerable populations from markets for energy-efficient technologies can result in multiple barriers to access. For example, exclusion can lead to limited knowledge about available products, an inability to distinguish high-quality from low-quality devices, and limited options for financing, making products seem unobtainable. However, behaviorally informed interventions can offer promising solutions in such contexts, even where exclusion is the result of structural causes. This paper uses a randomized control trial to consider the potential of such interventions for refugees in Uganda in the context of certified solar markets. We evaluate a behaviorally-informed information and savings session embedded in Village Savings and Lending Association (VSLA) meetings, finding evidence for increased pursuit of certified solar products in the treatment group two months later. Results manifest through the barriers described, with increased knowledge, trust in solar companies, financial inclusion through savings group support, and aspirations mediating effects.","PeriodicalId":519998,"journal":{"name":"npj climate action","volume":"4 1","pages":"32"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11954683/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143757514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors. 机器学习识别预测气候相关信念和行为的关键个人和国家层面的因素。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-05-08 DOI: 10.1038/s44168-025-00251-4

Boryana Todorova, David Steyrl, Matthew J Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C Doell

{"title":"Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors.","authors":"Boryana Todorova, David Steyrl, Matthew J Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C Doell","doi":"10.1038/s44168-025-00251-4","DOIUrl":"https://doi.org/10.1038/s44168-025-00251-4","url":null,"abstract":"While numerous studies have examined factors associated with climate-friendly beliefs and behaviors, a systematic, cross-national ranking of their key correlates is lacking. We use interpretable machine learning to quantify the extent to which different climate-relevant outcomes (climate change belief, policy support, willingness to share information on social media, and a pro-environmental behavioral task) are predictable and to rank 19 individual- and nation-level predictors in terms of their importance across 55 countries (N = 4635). We find notable differences in explained variance for the outcomes (e.g., 57% for climate change belief vs. 10% for pro-environmental behavior). Four predictors had consistent effects across all outcomes: environmentalist identity, trust in climate science, internal environmental motivation, and the Human Development Index. However, most of the predictors show divergent patterns, predicting some but not all outcomes or even having opposite effects. To better capture this complexity, future models should include multi-level factors and consider the different contexts (e.g., public vs private) in which climate-related cognition and action emerge.","PeriodicalId":519998,"journal":{"name":"npj climate action","volume":"4 1","pages":"46"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Political enablers of ambitious climate policies: a framework and thematic review. 雄心勃勃的气候政策的政治推动力：框架和专题审查。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-02-14 DOI: 10.1038/s44168-024-00206-1

Simon Montfort, Lukas Fesenfeld, Karin Ingold, William F Lamb, Marina Andrijevic

引用次数: 0

Understanding digitalization's environmental impact: why LCA is essential for informed decision-making. 理解数字化对环境的影响：为什么LCA对知情决策至关重要。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-04-26 DOI: 10.1038/s44168-025-00246-1

Hannes Bluhm, Daniela Wohlschlager, Johanna Pohl, Severin Beucker, Jan Bieser, Daniel Schien, Kelly Widdicks, Adrian Friday, Gordon Shaw Blair

引用次数: 0

Automated fact-checking of climate claims with large language models. 使用大型语言模型对气候声明进行自动事实核查。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-02-25 DOI: 10.1038/s44168-025-00215-8

Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Chiara Colesanti Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Juerg Luterbacher, Christian Huggel

{"title":"Automated fact-checking of climate claims with large language models.","authors":"Markus Leippold, Saeid Ashraf Vaghefi, Dominik Stammbach, Veruska Muccione, Julia Bingler, Jingwei Ni, Chiara Colesanti Senni, Tobias Wekhof, Tobias Schimanski, Glen Gostlow, Tingyu Yu, Juerg Luterbacher, Christian Huggel","doi":"10.1038/s44168-025-00215-8","DOIUrl":"10.1038/s44168-025-00215-8","url":null,"abstract":"Accurate identification of true versus false climate information in the digital age is critical. Misinformation can significantly affect public understanding and policymaking. Automated fact-checking seeks to validate claims against trustworthy factual data. This study tackles the challenge of fact-checking climate claims by leveraging the currently most capable Large Language Models (LLMs). To this end, we introduce Climinator, an acronym for CLImate Mediator for INformed Analysis and Transparent Objective Reasoning. It significantly boosts the performance of automated fact-checking by integrating authoritative, up-to-date sources within a novel debating framework. This framework provides a trustworthy and context-aware analysis incorporating multiple scientific viewpoints. Climinator helps identify misinformation in real time and facilitates informed dialog on climate change, highlighting AI's role in environmental discussions and policy with reliable data.","PeriodicalId":519998,"journal":{"name":"npj climate action","volume":"4 1","pages":"17"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11860206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Partisanship overcomes framing in shaping solar geoengineering perceptions: Evidence from a conjoint experiment. 党派之争在塑造太阳能地球工程观念方面胜过框架：来自联合实验的证据。

npj climate action Pub Date : 2025-01-01 Epub Date: 2025-03-24 DOI: 10.1038/s44168-025-00236-3

Beatrice Magistro, Ramit Debnath, Paul O Wennberg, R Michael Alvarez

{"title":"Partisanship overcomes framing in shaping solar geoengineering perceptions: Evidence from a conjoint experiment.","authors":"Beatrice Magistro, Ramit Debnath, Paul O Wennberg, R Michael Alvarez","doi":"10.1038/s44168-025-00236-3","DOIUrl":"10.1038/s44168-025-00236-3","url":null,"abstract":"The discourse on solar geoengineering (SG) is evolving, yet public perceptions of SG as a climate change solution remain underexplored, especially in the polarized US political landscape. We examine the relative importance of different SG narratives-framed as complementary, substitutive, or posing a moral hazard-and partisan information sources in shaping public attitudes. Using a conjoint experiment with 2123 American voters, we find that partisan alignment with the information source plays a decisive role in shaping trust in the messenger and support for SG, overshadowing any impact of message framing. Both Democrats and Republicans are more likely to trust the messenger and support SG when the information comes from a copartisan source. However, despite these strong partisan influences, policy preferences remain consistent with ideological baselines. These findings highlight the importance of partisanship in shaping perceptions of emerging climate technologies such as SG, even in contexts of low public awareness, and underscore the challenges of depolarizing public discourse on climate change solutions.","PeriodicalId":519998,"journal":{"name":"npj climate action","volume":"4 1","pages":"29"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11932920/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143723086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0