Article(id=1317436231777108293, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1749484800000, receivedDateStr=2025-06-10, revisedDate=1753113600000, revisedDateStr=2025-07-22, acceptedDate=null, acceptedDateStr=null, onlineDate=1792030874436, onlineDateStr=2026-10-15, pubDate=1786723200000, pubDateStr=2026-08-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792030874436, onlineIssueDateStr=2026-10-15, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792030874436, creator=13701087609, updateTime=1792030874436, updator=13701087609, issue=Issue{id=1317436203545243877, tenantId=1146029695717560320, journalId=1308397381743640680, year='2026', volume='44', issue='8', pageStart='1569', pageEnd='1792', issueExtLink='null', onlineDate='null', pubDate='1786723200000', pubDateStr='2026-08-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792030867705, creator='13701087609', updateTime=1792031039088, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1317436922423792157, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1317436922427986462, tenantId=1146029695717560320, journalId=1308397381743640680, issueId=1317436203545243877, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1593, endPage=1602, ext={EN=ArticleExt(id=1317436232108458310, articleId=1317436231777108293, tenantId=1146029695717560320, journalId=1308397381743640680, language=EN, title=Does scientific literacy influence individual climate change perception?——An empirical study based on the 2023 science, technology and society barometer survey, columnId=1309226307205034609, journalTitle=Studies in Science of Science, columnName=Hot Issues, runingTitle=null, highlight=null, articleAbstract=
Over the past few decades, the probability of climate anomalies has increased significantly, and large-scale extreme warming events have occurred globally. Climate change has gradually become a severe challenge for humanity, drawing widespread attention from society. Although climate change has increasingly become a consensus within the scientific community in recent decades, skepticism about its authenticity still exists in some parts of society. Many scholars attribute climate skepticism to a lack of scientific knowledge. Others argue that cultural factors, such as values and ideologies, play a more critical role. Addressing climate change is an urgent task that requires collective action from all members of society. This study aims to investigate whether citizens’ scientific literacy significantly influences their perception of climate change. The Science Comprehension Theory posits that scientific literacy facilitates the development of a scientific understanding of climate change, with scientific knowledge playing a key role. On the other hand, the Cultural Cognition Theory emphasizes that sociocultural factors, such as values and ideologies, are crucial in shaping individuals’ per-ceptions of climate change. It argues that citizens’ indifference to climate change and their non-scientific perceptions are not necessarily caused by a lack of scientific knowledge. This study draws on data from the 2023 Science, Technology and Society Barometer Survey, a nationally representative survey in China, to analyze Chinese citizens’ attitudes and perceptions. After processing the data and removing missing samples, the study includes 2986 valid samples. An ordered logistic regression model is employed to conduct an empirical analysis of the relationship between scientific literacy and individuals’ perceptions of climate change and to explore the mechanisms underlying this relationship. The findings demonstrate that scientific literacy has a significant positive impact on individuals’ perceptions of climate change. Mechanism analysis reveals that improvements in scientific literacy positively influence perceptions of climate change by enhancing scientific interest, trust in science, and trust in scientists. Heterogeneity analysis indicates that the impact of scientific literacy varies across individual characteristics, such as gender, educational attainment, and age. Specifically, the positive effect of scientific literacy on climate change perception is stronger for men than for women, for individuals with a bachelor’s degree or higher compared to those with lower education levels, and for younger individuals compared to older ones. At the regional level, scientific literacy positively influences climate change perceptions in eastern, central, and western regions of China. The magnitude of this effect is highest in the eastern region, followed by the western and central regions. However, the positive influence of scientific literacy in the northeastern region is not statistically significant. These findings suggest that the impact of scientific literacy on citizens’ perceptions of climate change is complex, requiring attention to individual heterogeneity and regional differences. The results of the empirical analysis validate and enrich the explanatory power of the Science Comprehension Theory, emphasizing the critical role of scientific literacy in shaping individuals’ perceptions of climate change. To address climate change, It is necessary to strengthen climate change education, promote the concept of low-carbon lifestyles, and build professional scientific communities to advance science popularization, improve citizens' scientific literacy, and enhance their trust in science. Furthermore, it is essential to translate awareness into practice, guiding behavioral changes to tackle climate change as a global issue. This study underscores the importance of scientific knowledge and literacy in forming individuals’ perceptions of climate change. By utilizing nationally representative data from Chinese citizens, it validates and enriches the Science Comprehension Theory while addressing gaps in related research in China. Although some studies downplay the explanatory power of scientific knowledge and literacy, emphasizing the role of values, ideologies, and religious beliefs in shaping perceptions of climate change, this study demonstrates that, even when sociocultural factors play a role, scientific literacy remains a robust explanatory factor. Enhancing citizens’ scientific literacy is an essential approach to addressing climate change.
, authors=Zhi-chao HONG, authorsList=Zhi-chao HONG, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1317436235069636937, articleId=1317436231777108293, tenantId=1146029695717560320, journalId=1308397381743640680, language=CN, title=科学素养会影响个体气候变化感知吗?——基于2023年科技与社会晴雨表调查的实证研究, columnId=1309226307364418163, journalTitle=科学学研究, columnName=热点议题, runingTitle=null, highlight=null, articleAbstract=
公民的科学素养是否会对个体的气候变化感知产生重要影响,本文基于2023年科技与社会晴雨表调查的数据,对二者之间的关系进行实证研究。研究发现,科学素养对个体的气候变化感知具有显著的正向影响,机制分析表明,科学素养的提升通过科学兴趣、科学信任与科学家信任,进而作用于个体的气候变化感知,对其产生正向影响。异质性分析发现,在个体层面,科学素养给男性、本科及以上个体、年轻人气候变化感知带来的正向影响大于女性、本科以下个体、年龄稍长的个体。在区域层面,科学素养在东部地区、中部地区、西部地区对气候变化感知具有正向影响,影响程度上东部大于西部大于中部,在东北地区的正向影响不具备统计上的显著性。可以通过加强气候变化教育、践行低碳生活理念、构建专业的科学共同体,推动科学普及,提升公民的科学素养与科学信任度,引导公民行为改变,应对气候变化这一国际性问题。
, authors=洪志超, authorsList=洪志超, authorCompany=null, correspAuthors=null, authorNote=
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洪志超(2001-),男,博士研究生,E-mail:hzc23@mails.tsinghua.edu.cn。
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洪志超(2001-),男,博士研究生,E-mail:hzc23@mails.tsinghua.edu.cn。
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114(36): 9587-9592., articleTitle=Individuals with greater science literacy and education have more polarized beliefs on controversial science topics, refAbstract=Public opinion toward some science and technology issues is polarized along religious and political lines. We investigate whether people with more education and greater science knowledge tend to express beliefs that are more (or less) polarized. Using data from the nationally representative General Social Survey, we find that more knowledgeable individuals are more likely to express beliefs consistent with their religious or political identities for issues that have become polarized along those lines (e.g., stem cell research, human evolution), but not for issues that are controversial on other grounds (e.g., genetically modified foods). These patterns suggest that scientific knowledge may facilitate defending positions motivated by nonscientific concerns.), Reference(id=1317436244204831105, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1073/pnas.1722664115, pmid=null, pmcid=null, year=2018, volume=115, issue=39, pageStart=9714, pageEnd=9719, url=https://pnas.org/doi/full/10.1073/pnas.1722664115, language=null, rfNumber=[15], rfOrder=15, authorNames=Guilbeault D, Becker J, Centola D, journalName=Proceedings of the National Academy of Sciences, refType=null, unstructuredReference=
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Proceedings of the National Academy of Sciences,
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Current Directions in Psychological Science,
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Nature Human Behaviour,
2024,
8(2): 380-398., articleTitle=Psychological inoculation strategies to fight climate disinformation across 12 countries, refAbstract=Decades after the scientific debate about the anthropogenic causes of climate change was settled, climate disinformation still challenges the scientific evidence in public discourse. Here we present a comprehensive theoretical framework of (anti)science belief formation and updating to account for the psychological factors that influence the acceptance or rejection of scientific messages. We experimentally investigated, across 12 countries (N = 6,816), the effectiveness of six inoculation strategies targeting these factors—scientific consensus, trust in scientists, transparent communication, moralization of climate action, accuracy and positive emotions—to fight real-world disinformation about climate science and mitigation actions. While exposure to disinformation had strong detrimental effects on participants’ climate change beliefs (δ = −0.16), affect towards climate mitigation action (δ = −0.33), ability to detect disinformation (δ = −0.14) and pro-environmental behaviour (δ = −0.24), we found almost no evidence for protective effects of the inoculations (all δ < 0.20). We discuss the implications of these findings and propose ways forward to fight climate disinformation.), Reference(id=1317436244410352004, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1016/S0140-6736(20)30461-X, pmid=null, pmcid=null, year=2020, volume=395, issue=10225, pageStart=676, pageEnd=null, url=https://linkinghub.elsevier.com/retrieve/pii/S014067362030461X, language=null, rfNumber=[18], rfOrder=18, authorNames=Zarocostas J, journalName=The Lancet, refType=null, unstructuredReference=
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The Lancet,
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395(10225): 676., articleTitle=How to fight an infodemic, refAbstract=null), Reference(id=1317436244490043781, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1002/wcc.v11.5, pmid=null, pmcid=null, year=2020, volume=11, issue=5, pageStart=e665, pageEnd=null, url=https://wires.onlinelibrary.wiley.com/toc/17577799/11/5, language=null, rfNumber=[19], rfOrder=19, authorNames=Treen K M I, Williams H T P, O'Neill S J, journalName=Wiley Interdisciplinary Reviews: Climate Change, refType=null, unstructuredReference=
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Wiley Interdisciplinary Reviews: Climate Change,
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11(5): e665., articleTitle=Online misinformation about climate change, refAbstract=null), Reference(id=1317436244586512774, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1038/s44159-021-00006-y, pmid=null, pmcid=null, year=2022, volume=1, issue=1, pageStart=13, pageEnd=29, url=null, language=null, rfNumber=[20], rfOrder=20, authorNames=Ecker U K H, Lewandowsky S, Cook J, journalName=Nature Reviews Psychology, refType=null, unstructuredReference=
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Nature Reviews Psychology,
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1(1): 13-29., articleTitle=The psychological drivers of misinformation belief and its resistance to correction, refAbstract=null), Reference(id=1317436244657815943, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1038/s41591-022-01713-6, pmid=35273402, pmcid=null, year=2022, volume=28, issue=3, pageStart=460, pageEnd=467, url=null, language=null, rfNumber=[21], rfOrder=21, authorNames=Van Der Linden S, journalName=Nature Medicine, refType=null, unstructuredReference=
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Nature Medicine,
2022,
28(3): 460-467., articleTitle=Misinformation: Susceptibility, spread, and interventions to immunize the public, refAbstract=The spread of misinformation poses a considerable threat to public health and the successful management of a global pandemic. For example, studies find that exposure to misinformation can undermine vaccination uptake and compliance with public-health guidelines. As research on the science of misinformation is rapidly emerging, this conceptual Review summarizes what we know along three key dimensions of the infodemic: susceptibility, spread, and immunization. Extant research is evaluated on the questions of why (some) people are (more) susceptible to misinformation, how misinformation spreads in online social networks, and which interventions can help to boost psychological immunity to misinformation. Implications for managing the infodemic are discussed.© 2022. Springer Nature America, Inc.), Reference(id=1317436244729119112, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1038/s41562-023-01623-8, pmid=null, pmcid=null, year=2023, volume=7, issue=9, pageStart=1514, pageEnd=1525, url=null, language=null, rfNumber=[22], rfOrder=22, authorNames=Chan M S, Albarracin D, journalName=Nature Human Behaviour, refType=null, unstructuredReference=
Chan M S,
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Nature Human Behaviour,
2023,
7(9): 1514-1525., articleTitle=A meta-analysis of correction effects in science-relevant misinformation, refAbstract=null), Reference(id=1317436244792033673, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1073/pnas.2020043118, pmid=null, pmcid=null, year=2021, volume=118, issue=5, pageStart=null, pageEnd=null, url=https://pnas.org/doi/full/10.1073/pnas.2020043118, language=null, rfNumber=[23], rfOrder=23, authorNames=Brashier N M, Pennycook G, Berinsky A J, journalName=Proceedings of the National Academy of Sciences, refType=null, unstructuredReference=
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Proceedings of the National Academy of Sciences,
2021,
118(5): e2020043118., articleTitle=Timing matters when correcting fake news, refAbstract=\n Countering misinformation can reduce belief in the moment, but corrective messages quickly fade from memory. We tested whether the longer-term impact of fact-checks depends on when people receive them. In two experiments (total\n N =\n 2,683), participants read true and false headlines taken from social media. In the treatment conditions, “true” and “false” tags appeared before, during, or after participants read each headline. Participants in a control condition received no information about veracity. One week later, participants in all conditions rated the same headlines’ accuracy. Providing fact-checks after headlines (\n debunking\n ) improved subsequent truth discernment more than providing the same information during (\n labeling\n ) or before (\n prebunking\n ) exposure. This finding informs the cognitive science of belief revision and has practical implications for social media platform designers.\n), Reference(id=1317436244863336842, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=null, pmid=null, pmcid=null, year=2019, volume=null, issue=2, pageStart=52, pageEnd=58, url=null, language=null, rfNumber=[24], rfOrder=24, authorNames=王泉泉, 魏铭, 刘霞, journalName=北京师范大学学报(社会科学版), refType=null, unstructuredReference=王泉泉, 魏铭, 刘霞. 核心素养框架下科学素养的内涵与结构[J].
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114(36): 9587-9592., articleTitle=Individuals with greater science literacy and education have more polarized beliefs on controversial science topics, refAbstract=Public opinion toward some science and technology issues is polarized along religious and political lines. We investigate whether people with more education and greater science knowledge tend to express beliefs that are more (or less) polarized. Using data from the nationally representative General Social Survey, we find that more knowledgeable individuals are more likely to express beliefs consistent with their religious or political identities for issues that have become polarized along those lines (e.g., stem cell research, human evolution), but not for issues that are controversial on other grounds (e.g., genetically modified foods). These patterns suggest that scientific knowledge may facilitate defending positions motivated by nonscientific concerns.), Reference(id=1317436245194686861, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1073/pnas.1317505111, pmid=null, pmcid=null, year=2014, volume=111, issue=null, pageStart=13593, pageEnd=13597, url=https://pnas.org/doi/full/10.1073/pnas.1317505111, language=null, rfNumber=[26], rfOrder=27, authorNames=Fiske S T, Dupree C, journalName=Proceedings of the National Academy of Sciences, refType=null, unstructuredReference=
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Proceedings of the National Academy of Sciences,
2014,
111(supplement_4): 13593-13597., articleTitle=Gaining trust as well as respect in communicating to motivated audiences about science topics, refAbstract=Expertise is a prerequisite for communicator credibility, entailing the knowledge and ability to be accurate. Trust also is essential to communicator credibility. Audiences view trustworthiness as the motivation to be truthful. Identifying whom to trust follows systematic principles. People decide quickly another’s apparent intent: Who is friend or foe, on their side or not, or a cooperator or competitor. Those seemingly on their side are deemed warm (friendly, trustworthy). People then decide whether the other is competent to enact those intents. Perception of scientists, like other social perceptions, involves inferring both their apparent intent (warmth) and capability (competence). To illustrate, we polled adults online about typical American jobs, rated as American society views them, on warmth and competence dimensions, as well as relevant emotions. Ambivalently perceived high-competence but low-warmth, “envied” professions included lawyers, chief executive officers, engineers, accountants, scientists, and researchers. Being seen as competent but cold might not seem problematic until one recalls that communicator credibility requires not just status and expertise but also trustworthiness (warmth). Other research indicates the risk from being enviable. Turning to a case study of scientific communication, another online sample of adults described public attitudes toward climate scientists specifically. Although distrust is low, the apparent motive to gain research money is distrusted. The literature on climate science communicators agrees that the public trusts impartiality, not persuasive agendas. Overall, communicator credibility needs to address both expertise and trustworthiness. Scientists have earned audiences’ respect, but not necessarily their trust. Discussing, teaching, and sharing information can earn trust to show scientists’ trustworthy intentions.), Reference(id=1317436245265990030, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1038/s41467-023-42729-x, pmid=37945560, pmcid=null, year=2023, volume=14, issue=1, pageStart=7241, pageEnd=null, url=null, language=null, rfNumber=[27], rfOrder=28, authorNames=Spektor M, Fasolin G N, Camargo J, journalName=Nature Communications, refType=null, unstructuredReference=
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Nature Communications,
2023,
14(1): 7241., articleTitle=Climate change beliefs and their correlates in Latin America, refAbstract=The ability of climate skeptics to block climate action depends on prevailing beliefs among the public. Research in advanced democracies has shown skepticism about the existence, the causes, and the consequences of climate change to be associated with socio-demographic features and political ideology. Yet, little is known about climate-related beliefs elsewhere. We address this gap by mapping beliefs in climate change and their correlates in Latin America. We show skepticism over the existence and anthropogenic origins of climate change to be limited, but identify a high number of skeptics around the severity of its consequences. Furthermore, we show skepticism to be correlated with psychological rather than socio-political factors: individualistic worldviews in particular drive disbelief in the severe consequences of climate change, a worrying finding in contexts where social trust is low. These findings offer a starting point for better addressing the constraining effects of climate skepticism in the Global South.© 2023. The Author(s).), Reference(id=1317436245328904591, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=null, pmid=null, pmcid=null, year=2023, volume=38, issue=8, pageStart=1197, pageEnd=1211, url=null, language=null, rfNumber=[28], rfOrder=29, authorNames=孙彦, 陈雪峰, 龚园超, journalName=中国科学院院刊, refType=null, unstructuredReference=孙彦, 陈雪峰, 龚园超,
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Bulletin of Chinese Academy of Sciences,
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Nature Communications,
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12(1): 4038., articleTitle=Ten-year panel data confirm generation gap but climate beliefs increase at similar rates across ages, refAbstract=Accumulating evidence indicates that climate change awareness and concern has increased globally, but commentators suggest a climate change generation gap whereby younger people care more about climate change than older people. Here we use a decade of panel data from 56,513 New Zealanders to test whether belief that "Climate change is real" and "Climate change is caused by humans" increased over the 2009-2018 period; and whether changes are uniform across 12 five-year birth cohorts spanning those born from 1936 to 1995. Results confirm a generation gap in mean (intercept) climate change beliefs but not in over-time increase (slope). The generation gap occurs because older cohorts started from a lower initial belief level (circa 2009), but all age cohorts increased their belief level at a similar rate over the last decade; and these results were not qualified by respondents' gender. The findings offer hope for collective action that bridges efforts across generations.), Reference(id=1317436247333781908, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1073/pnas.1906589116, pmid=null, pmcid=null, year=2019, volume=116, issue=30, pageStart=14804, pageEnd=14805, url=https://pnas.org/doi/full/10.1073/pnas.1906589116, language=null, rfNumber=[32], rfOrder=34, authorNames=Goldberg M H, van der Linden S, Maibach E, journalName=Proceedings of the National Academy of Sciences, refType=null, unstructuredReference=
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Proceedings of the National Academy of Sciences,
2019,
116(30): 14804-14805., articleTitle=Discussing global warming leads to greater acceptance of climate science, refAbstract=Climate change is an urgent global issue, with demands for personal, collective, and governmental action. Although a large body of research has investigated the influence of communication on public engagement with climate change, few studies have investigated the role of interpersonal discussion. Here we use panel data with 2 time points to investigate the role of climate conversations in shaping beliefs and feelings about global warming. We find evidence of reciprocal causality. That is, discussing global warming with friends and family leads people to learn influential facts, such as the scientific consensus that human-caused global warming is happening. In turn, stronger perceptions of scientific agreement increase beliefs that climate change is happening and human-caused, as well as worry about climate change. When assessing the reverse causal direction, we find that knowing the scientific consensus further leads to increases in global warming discussion. These findings suggest that climate conversations with friends and family enter people into a proclimate social feedback loop.), Reference(id=1317436247417667989, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, doi=10.1038/s41558-023-01875-2, pmid=null, pmcid=null, year=2023, volume=13, issue=12, pageStart=1274, pageEnd=1275, url=null, language=null, rfNumber=[33], rfOrder=35, authorNames=Svarstad H, Jornet A, Peters G P, journalName=Nature Climate Change, refType=null, unstructuredReference=
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Nature Climate Change,
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Nature Communications,
2019,
10(1): 3502., articleTitle=Discrepancy in scientific authority and media visibility of climate change scientists and contrarians, refAbstract=We juxtapose 386 prominent contrarians with 386 expert scientists by tracking their digital footprints across ∼200,000 research publications and ∼100,000 English-language digital and print media articles on climate change. Projecting these individuals across the same backdrop facilitates quantifying disparities in media visibility and scientific authority, and identifying organization patterns within their association networks. Here we show via direct comparison that contrarians are featured in 49% more media articles than scientists. Yet when comparing visibility in mainstream media sources only, we observe just a 1% excess visibility, which objectively demonstrates the crowding out of professional mainstream sources by the proliferation of new media sources, many of which contribute to the production and consumption of climate change disinformation at scale. These results demonstrate why climate scientists should increasingly exert their authority in scientific and public discourse, and why professional journalists and editors should adjust the disproportionate attention given to contrarians.)], funds=[Fund(id=1317436240564175216, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, awardId=21ZDA017, language=CN, fundingSource=国家社会科学基金重大项目(21ZDA017), fundOrder=null, country=null), Fund(id=1317436240681615729, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, awardId=KXYJS2024009, language=CN, fundingSource=中国科协2024年度研究生科普能力提升项目(KXYJS2024009), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1317436235568759115, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, xref=null, ext=[AuthorCompanyExt(id=1317436235577147724, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, companyId=1317436235568759115, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Social Science, Tsinghua University, Beijing 100084, China), AuthorCompanyExt(id=1317436235585536333, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, companyId=1317436235568759115, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=清华大学社会科学学院, 北京 100084)])], figs=[ArticleFig(id=1317436238899036510, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Figure 1, caption=
Theoretical analysis framework, figureFileSmall=Zn04V3tVrpyX95YXm0PjJQ==, figureFileBig=SGnbKvCh2Le4XLk7t6asRA==, tableContent=null), ArticleFig(id=1317436238970339679, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=图1, caption=
理论框架图, figureFileSmall=Zn04V3tVrpyX95YXm0PjJQ==, figureFileBig=SGnbKvCh2Le4XLk7t6asRA==, tableContent=null), ArticleFig(id=1317436239209415008, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 1, caption=
Variable descriptions
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| 变量类型 | 变量 | 变量定义与赋值 |
| 被解释变量 | 气候变化感知 | 通过“您担心气候变化将来会对人类社会产生什么影响吗”来衡量,按担心程度赋值1~6,“完全不担心”赋值为1,“非常担心”赋值为6。 |
| 核心解释变量 | 科学素养 | 通过对9个科学问题的回答来衡量,回答正确赋值为1,答错或不清楚赋值为0,最后将9个问题的分数进行加总。 |
| 控制变量 | 性别 | 男性=1,女性=0 |
| 年龄 | 18岁以下=1,18-25岁=2,26-30岁=3,31-35岁=4,36-40岁=5,41-45岁=6,46-50岁=7,51-55岁=8,56-60岁=9,61-65岁=10,66岁及以上=11 |
| 宗教信仰 | 有宗教信仰=1,无宗教信仰=0 |
| 婚姻状况 | 有配偶=1,无配偶=0 |
| 受教育程度 | 小学及以下=1,初中=2,高中=3,职高\\中专=4,大专=5,本科=6,硕士=7,博士=8 |
| 收入 | 0-2999元=1,3000-5999元=2,6000-8999元=3,9000-11999元=4,12000-14999元=5,15000-17999元=6,18000元及以上=7 |
| 职业 | 脑力要求较高=1,体力要求较高=0 |
| 地区 | 东部地区=1,非东部地区=0 |
), ArticleFig(id=1317436239284912481, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表1, caption=
变量说明
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| 变量类型 | 变量 | 变量定义与赋值 |
| 被解释变量 | 气候变化感知 | 通过“您担心气候变化将来会对人类社会产生什么影响吗”来衡量,按担心程度赋值1~6,“完全不担心”赋值为1,“非常担心”赋值为6。 |
| 核心解释变量 | 科学素养 | 通过对9个科学问题的回答来衡量,回答正确赋值为1,答错或不清楚赋值为0,最后将9个问题的分数进行加总。 |
| 控制变量 | 性别 | 男性=1,女性=0 |
| 年龄 | 18岁以下=1,18-25岁=2,26-30岁=3,31-35岁=4,36-40岁=5,41-45岁=6,46-50岁=7,51-55岁=8,56-60岁=9,61-65岁=10,66岁及以上=11 |
| 宗教信仰 | 有宗教信仰=1,无宗教信仰=0 |
| 婚姻状况 | 有配偶=1,无配偶=0 |
| 受教育程度 | 小学及以下=1,初中=2,高中=3,职高\\中专=4,大专=5,本科=6,硕士=7,博士=8 |
| 收入 | 0-2999元=1,3000-5999元=2,6000-8999元=3,9000-11999元=4,12000-14999元=5,15000-17999元=6,18000元及以上=7 |
| 职业 | 脑力要求较高=1,体力要求较高=0 |
| 地区 | 东部地区=1,非东部地区=0 |
), ArticleFig(id=1317436239364604258, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 2, caption=
Descriptive statistics
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| 变量 | 样本量 | 均值 | 标准差 | 最小值 | 中位数 | 最大值 |
| 科学素养 | 2986 | 6.6956 | 1.610 | 0.00 | 7.00 | 9.00 |
| 气候变化感知 | 2986 | 4.1239 | 1.358 | 1.00 | 4.00 | 6.00 |
| 性别 | 2986 | 0.5000 | 0.500 | 0.00 | 0.50 | 1.00 |
| 年龄 | 2986 | 5.9504 | 2.892 | 2.00 | 5.00 | 11.00 |
| 宗教信仰 | 2986 | 0.1316 | 0.338 | 0.00 | 0.00 | 1.00 |
| 婚姻状况 | 2986 | 0.7083 | 0.455 | 0.00 | 1.00 | 1.00 |
| 受教育程度 | 2986 | 5.3104 | 1.188 | 1.00 | 6.00 | 8.00 |
| 收入 | 2986 | 3.2063 | 1.493 | 1.00 | 3.00 | 7.00 |
| 职业 | 2986 | 0.6530 | 0.476 | 0.00 | 1.00 | 1.00 |
| 地区 | 2986 | 0.4042 | 0.491 | 0.00 | 0.00 | 1.00 |
), ArticleFig(id=1317436239431713123, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表2, caption=
描述性统计
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| 变量 | 样本量 | 均值 | 标准差 | 最小值 | 中位数 | 最大值 |
| 科学素养 | 2986 | 6.6956 | 1.610 | 0.00 | 7.00 | 9.00 |
| 气候变化感知 | 2986 | 4.1239 | 1.358 | 1.00 | 4.00 | 6.00 |
| 性别 | 2986 | 0.5000 | 0.500 | 0.00 | 0.50 | 1.00 |
| 年龄 | 2986 | 5.9504 | 2.892 | 2.00 | 5.00 | 11.00 |
| 宗教信仰 | 2986 | 0.1316 | 0.338 | 0.00 | 0.00 | 1.00 |
| 婚姻状况 | 2986 | 0.7083 | 0.455 | 0.00 | 1.00 | 1.00 |
| 受教育程度 | 2986 | 5.3104 | 1.188 | 1.00 | 6.00 | 8.00 |
| 收入 | 2986 | 3.2063 | 1.493 | 1.00 | 3.00 | 7.00 |
| 职业 | 2986 | 0.6530 | 0.476 | 0.00 | 1.00 | 1.00 |
| 地区 | 2986 | 0.4042 | 0.491 | 0.00 | 0.00 | 1.00 |
), ArticleFig(id=1317436239523987812, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 3, caption=
Benchmark regression results of the impact of scientific literacy on climate change perception
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1 | 模型2 | 模型3 |
| 科学素养 | 0.181*** | 0.167*** | 0.164*** |
| (0.0202) | (0.0205) | (0.0205) |
| 性别 | | -0.0347 | -0.0328 |
| | (0.0664) | (0.0663) |
| 年龄 | | -0.000213 | -0.000653 |
| | (0.0143) | (0.0143) |
| 宗教信仰 | | -0.107 | -0.0953 |
| | (0.0948) | (0.0948) |
| 婚姻状况 | | 0.147 | 0.158* |
| | (0.0914) | (0.0917) |
| 收入 | | 0.00695 | 0.00195 |
| | (0.0275) | (0.0275) |
| 职业 | | 0.238*** | 0.188** |
| | (0.0794) | (0.0888) |
| 受教育程度 | | | 0.0434 |
| | | (0.0329) |
| 地区 | | | -0.0245 |
| | | (0.0673) |
| 样本量 | 2,986 | 2,986 | 2,986 |
), ArticleFig(id=1317436239603679589, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表3, caption=
科学素养对气候变化感知影响的基准回归结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 模型1 | 模型2 | 模型3 |
| 科学素养 | 0.181*** | 0.167*** | 0.164*** |
| (0.0202) | (0.0205) | (0.0205) |
| 性别 | | -0.0347 | -0.0328 |
| | (0.0664) | (0.0663) |
| 年龄 | | -0.000213 | -0.000653 |
| | (0.0143) | (0.0143) |
| 宗教信仰 | | -0.107 | -0.0953 |
| | (0.0948) | (0.0948) |
| 婚姻状况 | | 0.147 | 0.158* |
| | (0.0914) | (0.0917) |
| 收入 | | 0.00695 | 0.00195 |
| | (0.0275) | (0.0275) |
| 职业 | | 0.238*** | 0.188** |
| | (0.0794) | (0.0888) |
| 受教育程度 | | | 0.0434 |
| | | (0.0329) |
| 地区 | | | -0.0245 |
| | | (0.0673) |
| 样本量 | 2,986 | 2,986 | 2,986 |
), ArticleFig(id=1317436239695954278, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 4, caption=
Results of mechanism testing on the impact of scientific literacy on climate change perception
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| 变量 | 系数 | 标准误 | 95%置信区间 |
| 科学兴趣 | 0.0193 | 0.0037 | (0.0127,0.0263) |
| 科学信任 | 0.0158 | 0.0031 | (0.0104,0.0226) |
| 科学家信任 | 0.0111 | 0.0028 | (0.0066,0.0172) |
), ArticleFig(id=1317436239771451751, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表4, caption=
科学素养对气候变化感知影响的机制检验结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 系数 | 标准误 | 95%置信区间 |
| 科学兴趣 | 0.0193 | 0.0037 | (0.0127,0.0263) |
| 科学信任 | 0.0158 | 0.0031 | (0.0104,0.0226) |
| 科学家信任 | 0.0111 | 0.0028 | (0.0066,0.0172) |
), ArticleFig(id=1317436239914058088, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 5, caption=
Results of heterogeneity analysis at the Individual Level (I)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 男性 | 女性 | 本科以下 | 本科及以上 |
| 科学素养 | 0.173*** | 0.159*** | 0.113*** | 0.209*** |
| (0.0300) | (0.0283) | (0.0307) | (0.0287) |
| Controls | YES | YES | YES | YES |
| 样本量 | 1,493 | 1,493 | 1,212 | 1,774 |
), ArticleFig(id=1317436239985361257, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表5, caption=
个体层面的异质性分析结果(1)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 男性 | 女性 | 本科以下 | 本科及以上 |
| 科学素养 | 0.173*** | 0.159*** | 0.113*** | 0.209*** |
| (0.0300) | (0.0283) | (0.0307) | (0.0287) |
| Controls | YES | YES | YES | YES |
| 样本量 | 1,493 | 1,493 | 1,212 | 1,774 |
), ArticleFig(id=1317436240052470122, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 6, caption=
Results of heterogeneity analysis at the individual level (II)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 18-30岁 | 31-40岁 | 41-50岁 | 51-60岁 | 60岁以上 |
| 科学素养 | 0.199*** | 0.278*** | -0.00487 | 0.180** | 0.0978** |
| (0.0456) | (0.0394) | (0.0534) | (0.0770) | (0.0437) |
| Controls | YES | YES | YES | YES | YES |
| 样本量 | 706 | 909 | 498 | 201 | 672 |
), ArticleFig(id=1317436240127967595, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表6, caption=
个体层面的异质性分析结果(2)
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 18-30岁 | 31-40岁 | 41-50岁 | 51-60岁 | 60岁以上 |
| 科学素养 | 0.199*** | 0.278*** | -0.00487 | 0.180** | 0.0978** |
| (0.0456) | (0.0394) | (0.0534) | (0.0770) | (0.0437) |
| Controls | YES | YES | YES | YES | YES |
| 样本量 | 706 | 909 | 498 | 201 | 672 |
), ArticleFig(id=1317436240228630892, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 7, caption=
Results of heterogeneity analysis at the regional level
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 东部地区 | 中部地区 | 西部地区 | 东北地区 |
| 科学素养 | 0.211*** | 0.110*** | 0.172*** | 0.0761 |
| (0.0348) | (0.0408) | (0.0379) | (0.0787) |
| Controls | YES | YES | YES | YES |
| 样本量 | 1,207 | 757 | 795 | 227 |
), ArticleFig(id=1317436240299934061, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表7, caption=
地区层面的异质性分析结果
, figureFileSmall=null, figureFileBig=null, tableContent=
| 变量 | 东部地区 | 中部地区 | 西部地区 | 东北地区 |
| 科学素养 | 0.211*** | 0.110*** | 0.172*** | 0.0761 |
| (0.0348) | (0.0408) | (0.0379) | (0.0787) |
| Controls | YES | YES | YES | YES |
| 样本量 | 1,207 | 757 | 795 | 227 |
), ArticleFig(id=1317436240371237230, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=EN, label=Table 8, caption=
Results of robustness tests
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| 变量 | 模型1 | 模型2 | 模型3 | 模型4 |
| 科学素养 | 0.125*** | 0.122*** | 0.202*** | 0.119*** |
| (0.0203) | (0.0155) | (0.0278) | (0.0163) |
| Controls | YES | YES | YES | YES |
| Constant | | 3.181*** | 0.0694 | 0.0702 |
| | (0.169) | (0.292) | (0.170) |
| 样本量 | 2986 | 2,986 | 2,986 | 2,986 |
| R-squared | | 0.027 | | |
), ArticleFig(id=1317436240450929007, tenantId=1146029695717560320, journalId=1308397381743640680, articleId=1317436231777108293, language=CN, label=表8, caption=
稳健性检验结果
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| 变量 | 模型1 | 模型2 | 模型3 | 模型4 |
| 科学素养 | 0.125*** | 0.122*** | 0.202*** | 0.119*** |
| (0.0203) | (0.0155) | (0.0278) | (0.0163) |
| Controls | YES | YES | YES | YES |
| Constant | | 3.181*** | 0.0694 | 0.0702 |
| | (0.169) | (0.292) | (0.170) |
| 样本量 | 2986 | 2,986 | 2,986 | 2,986 |
| R-squared | | 0.027 | | |
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