scholarly journals Does Knowledge about Climate Change Predict  Concern?  Concern for Climate Change and the Knowledge-Deficit Theory

2021 ◽  
Author(s):  
◽  
Alana Cornforth
Keyword(s):  
Climate Change ◽  
Snowball Sampling ◽  
Perceived Knowledge ◽  
Actual Knowledge ◽  
Knowledge Deficit ◽  
Group Outcomes ◽  
High Concern ◽  
Nationally Representative ◽  
Deficit Theory ◽  
New Zealanders

<p>The knowledge-deficit theory suggests that if people are not concerned about climate change, it is because there is a deficit in their knowledge of climate change—they do not properly comprehend the scientific consensus. So do people with higher levels of knowledge about climate change feel more concerned than those with lower knowledge levels? Existing research has been inconclusive but suggests differences between perceived and actual knowledge. This thesis comprises two studies. Study 1 tests the effect of perceived knowledge on concern for climate change with a nationally representative, randomly selected sample of 269 New Zealanders. Study 2 tests the effect of actual knowledge about climate change on concern with a sample of 452 New Zealanders recruited via snowball sampling. Results supported the knowledge-deficit theory for concern for climate change, but only when actual knowledge was tested. Participants in both Study 1 and Study 2 with high perceived knowledge did not have correspondingly high levels of concern, but Study 2 participants with high actual knowledge of climate change did also have high levels of concern. Other variables tested that consistently predicted high concern for climate change were perceived efficacy (the perception that one's actions will influence group outcomes) and environmental values. Demographic variables were not strong or consistent predictors of concern, but overall, younger female participants tended to display higher levels of concern than older male participants.</p>

scholarly journals Does Knowledge about Climate Change Predict  Concern?  Concern for Climate Change and the Knowledge-Deficit Theory

2021 ◽  
Author(s):  
◽  
Alana Cornforth
Keyword(s):  
Climate Change ◽  
Snowball Sampling ◽  
Perceived Knowledge ◽  
Actual Knowledge ◽  
Knowledge Deficit ◽  
Group Outcomes ◽  
High Concern ◽  
Nationally Representative ◽  
Deficit Theory ◽  
New Zealanders

<p>The knowledge-deficit theory suggests that if people are not concerned about climate change, it is because there is a deficit in their knowledge of climate change—they do not properly comprehend the scientific consensus. So do people with higher levels of knowledge about climate change feel more concerned than those with lower knowledge levels? Existing research has been inconclusive but suggests differences between perceived and actual knowledge. This thesis comprises two studies. Study 1 tests the effect of perceived knowledge on concern for climate change with a nationally representative, randomly selected sample of 269 New Zealanders. Study 2 tests the effect of actual knowledge about climate change on concern with a sample of 452 New Zealanders recruited via snowball sampling. Results supported the knowledge-deficit theory for concern for climate change, but only when actual knowledge was tested. Participants in both Study 1 and Study 2 with high perceived knowledge did not have correspondingly high levels of concern, but Study 2 participants with high actual knowledge of climate change did also have high levels of concern. Other variables tested that consistently predicted high concern for climate change were perceived efficacy (the perception that one's actions will influence group outcomes) and environmental values. Demographic variables were not strong or consistent predictors of concern, but overall, younger female participants tended to display higher levels of concern than older male participants.</p>

scholarly journals How Is Climate Change Knowledge Distributed among the Population in Singapore? A Demographic Analysis of Actual Knowledge and Illusory Knowledge

2020 ◽  
Vol 12 (9) ◽  
pp. 3782
Author(s):  
Xiaodong Yang ◽  
Lai Wei ◽  
Qi Su
Keyword(s):  
Climate Change ◽  
Low Income ◽  
Demographic Analysis ◽  
Actual Knowledge ◽  
Deficit Model ◽  
Demographic Groups ◽  
Types Of Knowledge ◽  
Nationally Representative ◽  
Cognitive Miser

Due to the crucial role of knowledge in promoting public engagement with climate change, this study made an in-depths examination of the distribution of climate change knowledge among different demographic groups. Guided by information deficit model and cognitive miser model, two types of knowledge were investigated, including actual knowledge and illusory knowledge. Using a nationally representative survey in Singapore, this study found demographic effects in climate change knowledge distribution. Specifically, a series of independent sample t-test revealed that the males had more actual knowledge of climate change than the females. The middle aged and elderly adults had less actual knowledge but more illusory knowledge of climate change than the young adults. Compare to the more educated people, the less educated people had more illusory knowledge but less actual knowledge of climate change. People from low-income households reported lower levels of actual knowledge but higher levels of illusory knowledge than those from high-income households. Regarding these significant differences in climate change knowledge among different demographic groups, possible reasons for these variations and implications for designing public education programs are discussed.

scholarly journals How others drive our sense of understanding of policies

2020 ◽  
pp. 1-26
Author(s):  
NATHANIEL RABB ◽  
JOHN J. HAN ◽  
STEVEN A. SLOMAN
Keyword(s):  
Climate Change ◽  
Public Policy ◽  
Climate Policy ◽  
Perceived Knowledge ◽  
Actual Knowledge ◽  
Deficit Model ◽  
Policy Issues ◽  
Lack Of Information ◽  
Cognition Model ◽  
People’S Attitudes

Abstract Five experiments are reported to compare models of attitude formation about hot-button policy issues like climate change. In broad strokes, the deficit model states that incorrect opinions are a result of a lack of information, while the cultural cognition model states that opinions are formed to maximize congruence with the group that one affiliates with. The community of knowledge hypothesis takes an integrative position. It states that opinions are based on perceived knowledge, but that perceptions are partly determined by the knowledge that sits in the heads of others in the community. We use the fact that people's sense of understanding is affected by knowledge of others’ understanding to arbitrate among these views in the domain of public policy. In all experiments (N = 1767), we find that the contagious sense of understanding is nonpartisan and robust to experimental manipulations intended to eliminate it. While ideology clearly affects people's attitudes, sense of understanding does as well, but level of actual knowledge does not. And the extent to which people overestimate their own knowledge partly determines the extremity of their position. The pattern of results is most consistent with the community of knowledge hypothesis. Implications for climate policy are considered.

Abstract 36: Mapping and Multilevel Modeling of Climate Change and Air Pollution With Risk of Stroke in the United States and China: Findings From the Drexel-SARI Low Carbon and Healthy City Study

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Longjian Liu ◽  
Hui Liu ◽  
Xuan Yang ◽  
Feng Jia ◽  
Mingquan Wang
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Air Quality ◽  
Pollution Index ◽  
The United States ◽  
Potential Interaction ◽  
Low Carbon ◽  
Multilevel Regression ◽  
Healthy City ◽  
Nationally Representative

Introduction and Hypothesis: Stroke is a leading cause of death and the major cause of disability in the world. However, few studies applied multilevel regression techniques to explore the association of stroke risk with climate change and air pollution. In the study, we aimed to test the hypothesis that the disproportionately distributed stroke rates across the counties and cities within a country are significantly associated with air pollution and temperature. Methods: We used data from U.S. 1118 counties in 49 states, which had estimated measures of particulate matter (PM)2.5 for the years 2010-2013, and data from China 120 cities in 32 provinces (including 4 municipalities), which had measures of Air Pollution Index (API) for the years 2012-2013. We assessed the association between air quality and prevalence of stroke using spatial mapping, autocorrelation and multilevel regression models. Results: Findings from the U.S. show that the highest average PM2.5 level was in July (10.2 μg/m3) and the lowest in October (7.63 μg/m3) for the years 2010-2013. Annual average PM2.5 levels were significantly different across the 1118 counties, and were significantly associated with stroke rates. Multilevel regression analysis indicated that the prevalence of stroke significantly increased by 1.19% for every 10 μg/m3 increase of PM2.5 (p<0.001). Significant variability in PM2.5 by states was observed (p=0.019). More than 70% of the variation in stroke rates existed across the counties (p=0.017) and 18.7% existed across the states (p=0.047). In China, the highest API was observed in the month of December, with a result of 75.76 in 2012 and 97.51 in 2013. The lowest API was observed in July, with a result of 51.21 in 2012, and 54.23 in 2013. Prevalence of stroke was significantly higher in cities with higher API concentrations. The associations between air quality and risk of stroke were significantly mediated by temperatures. Conclusions: The study, using nationally representative data, is one of the first studies to address a positive and complex association between air quality and prevalence of stroke, and a potential interaction effect of temperatures on the air - stroke association.

Climate Change Science in School Curriculum: Solution to Ignorance of Commons in Developing Countries

2021 ◽  
Vol 7 (4) ◽  
pp. 29-34
Author(s):  
K.P. Thrivikramji ◽  
K.S. Sajinkumar ◽  
V.R. Rani
Keyword(s):  
Climate Change ◽  
High School ◽  
Developing Countries ◽  
Skill Training ◽  
Work Force ◽  
Developed Countries ◽  
School Curriculum ◽  
Learning Content ◽  
Knowledge Deficit ◽  
High Schoolers

In developing countries and to a certain degree in developed countries too, either climate change (CC) consequences or drivers of CC are alien to the mindset of commoners, who after High School had with/without vocational skills entered the workforce. This deficit or ignorance can be rectified only by adding CC education in the school system. We present a school appropriate outline of CC learning content spanning Kinder Garten to High School. Adding CC content in school education is immensely warranted, as a large chunk of high schoolers annually joins the work force with or without vocational or skill training. Further, such a knowledge deficit among the generations of working class can be remedied only by providing appropriate and sufficient knowledge on CC consequences, etc., only through a structured adult education campaign.

scholarly journals Primary School Student Teachers’ Perceived and Actual Knowledge in Biology

2017 ◽  
Vol 7 (4) ◽  
pp. 125-146
Author(s):  
Eija Yli-Panula ◽  
Elia Jeronen ◽  
Nonmanut Pongsakdi
Keyword(s):  
Student Teachers ◽  
Perceived Knowledge ◽  
Actual Knowledge ◽  
Low Level ◽  
Work Related ◽  
Cluster Group ◽  
Primary School Student ◽  
Study Programme ◽  
The Difference ◽  
Knowledge Strategies

Individuals’ perceptions of their knowledge can have an important role in shaping their cognition and influencing their behaviour. However, there has been a scarcity of studies in biology on how perceived knowledge relates to actual knowledge. The focus of this article is on quantitative results analysing and interpreting student teachers’ perceived knowledge of biological content in relation to their actual animal and species name knowledge linked to the ecosystem in which they live. K-means cluster analysis and ANOVA were used. The results show a high- and low-level perceived knowledge cluster group among the participants. They further indicate that the difference in actual animal and species name knowledge betweenthese cluster groups remained the same during the five years of the study. The student teachers with a higher level of perceived knowledge tended to have better actual animal and species name knowledge than those in the low-level group. The actual animal name knowledge in these cluster groups was similar with regard to the local Finnish ecosystems but differed concerning the exotic species by year. The year that the participants enrolled in the study programme had an impact on their actual animal and species name knowledge. Strategies for coping with work-related demands and maintaining engagement in one’s career would be important additions to the teacher education curriculum.

scholarly journals Spatial-temporal variation of CO2 emissions from private vehicle use in Japan

2021 ◽  
Author(s):  
Yin Long ◽  
Yoshikuni Yoshida ◽  
Yuan Li ◽  
Alexandros Gasparatos
Keyword(s):  
Climate Change ◽  
Energy Demand ◽  
Vehicle Emissions ◽  
City Size ◽  
Transport Sector ◽  
Large Variability ◽  
Factors Affecting ◽  
Clear Cut ◽  
Private Vehicle ◽  
Nationally Representative

Abstract The transport sector is a major contributor to anthropogenic climate change through the emissions of large amounts of greenhouse gases (GHGs) from fossil fuel combustion. Private vehicles account for almost half of the transport energy demand, and are thus a major target of climate change mitigation efforts. However, emissions from private vehicles can have large variability due to various geographic, demographic and socioeconomic factors. This study aims to understand how such factors affect private vehicle emissions in Japan using a nationally representative survey of household energy consumption (n=7,370) for 2017. The results indicate a large temporal and spatial variability in private vehicle emissions. Annual emissions show three peaks associated with major holiday seasons in winter and summer. Some of the more noteworthy spatial patterns are the higher emissions in prefectures characterized by low population density and mountainous terrain. Income, city size and the fuel-saving driving behavior all have a significant effect on emissions. The results indicate the need for sub-regional and socioeconomically-sensitive mitigation efforts that reflect the very different emission patterns, and the factors affecting them. The strong effect of city size, which is often much more clear-cut than between prefectures, suggests that it is more appropriate to approach transport decarbonization in Japan at the city level.

scholarly journals Weather Literacy in Times of Climate Change

2020 ◽  
Vol 12 (3) ◽  
pp. 435-452 ◽  
Author(s):  
Nadine Fleischhut ◽  
Stefan M. Herzog ◽  
Ralph Hertwig
Keyword(s):  
Climate Change ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
The Public ◽  
Weather Events ◽  
The Future ◽  
Nationally Representative ◽  
And Migration ◽  
Weather Risks

AbstractAs climate change unfolds, extreme weather events are on the rise worldwide. According to experts, extreme weather risks already outrank those of terrorism and migration in likelihood and impact. But how well does the public understand weather risks and forecast uncertainty and thus grasp the amplified weather risks that climate change poses for the future? In a nationally representative survey (N = 1004; Germany), we tested the public’s weather literacy and awareness of climate change using 62 factual questions. Many respondents misjudged important weather risks (e.g., they were unaware that UV radiation can be higher under patchy cloud cover than on a cloudless day) and struggled to connect weather conditions to their impacts (e.g., they overestimated the distance to a thunderstorm). Most misinterpreted a probabilistic forecast deterministically, yet they strongly underestimated the uncertainty of deterministic forecasts. Respondents with higher weather literacy obtained weather information more often and spent more time outside but were not more educated. Those better informed about climate change were only slightly more weather literate. Overall, the public does not seem well equipped to anticipate weather risks in the here and now and may thus also fail to fully grasp what climate change implies for the future. These deficits in weather literacy highlight the need for impact forecasts that translate what the weather may be into what the weather may do and for transparent communication of uncertainty to the public. Boosting weather literacy may help to improve the public’s understanding of weather and climate change risks, thereby fostering informed decisions and mitigation support.

scholarly journals How Perceived Processing Fluency Influences the Illusion of Knowing in Learning From TV Reports

2020 ◽  
Vol 32 (1) ◽  
pp. 2-13 ◽  
Author(s):  
Fabian A. Ryffel ◽  
Werner Wirth
Keyword(s):  
Experimental Studies ◽  
Processing Fluency ◽  
Background Music ◽  
Perceived Knowledge ◽  
Actual Knowledge ◽  
Metacognitive Judgments ◽  
Processing Heuristic ◽  
Illusion Of Knowing

Abstract. The present two-study work aims to contribute to an understanding of the causes and consequences of perceived processing fluency. Regarding its causes, the experimental studies ( N1 = 399; N2 = 337) found that features of television reports (e.g., footage used, background music) can heighten perceptions of processing fluency. Regarding its consequences, it was found that heightened perceived fluency biases metacognitive judgments. Specifically, considering perceived knowledge in relation to actual knowledge, recipients experiencing fluency have been found to overestimate their knowledge about the issue depicted in the experimental stimuli. The resulting illusion of knowing was particularly pronounced under conditions of low involvement, indicating that the so-called ease-of-processing heuristic underlies the effect.

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