scholarly journals The Role of Emotion in Global Warming Policy Support and Opposition

Risk Analysis ◽  
2013 ◽  
Vol 34 (5) ◽  
pp. 937-948 ◽  
Author(s):  
Nicholas Smith ◽  
Anthony Leiserowitz
Keyword(s):  
Global Warming ◽  
Policy Support

The Role of Late-Night Infotainment Comedy in Communicating Climate Change Consensus

2019 ◽  
Author(s):  
Edward John Roy Clarke ◽  
Anna Klas ◽  
Joshua Stevenson ◽  
Emily Jane Kothe
Keyword(s):  
Climate Change ◽  
Policy Support ◽  
Mitigation Policy ◽  
Behavioural Intentions ◽  
Late Night ◽  
Mitigation And Adaptation ◽  
Climate Action ◽  
Adaptation Policies ◽  
Diverse Audience

Climate change is a politically-polarised issue, with conservatives less likely than liberals to perceive it as human-caused and consequential. Furthermore, they are less likely to support mitigation and adaptation policies needed to reduce its impacts. This study aimed to examine whether John Oliver’s “A Mathematically Representative Climate Change Debate” clip on his program Last Week Tonight polarised or depolarised a politically-diverse audience on climate policy support and behavioural intentions. One hundred and fifty-nine participants, recruited via Amazon MTurk (94 female, 64 male, one gender unspecified, Mage = 51.07, SDage = 16.35), were presented with either John Oliver’s climate change consensus clip, or a humorous video unrelated to climate change. Although the climate change consensus clip did not reduce polarisation (or increase it) relative to a control on mitigation policy support, it resulted in hyperpolarisation on support for adaptation policies and increased climate action intentions among liberals but not conservatives.

How to survive in the age of artificial intelligence? Exploring the intelligent transformations of SMEs in central China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinqiang Wang ◽  
Yaobin Lu ◽  
Si Fan ◽  
Peng Hu ◽  
Bin Wang
Keyword(s):  
Artificial Intelligence ◽  
Small And Medium Enterprises ◽  
Policy Support ◽  
Central China ◽  
Limited Resources ◽  
Text Data ◽  
Content Type ◽  
External Pressures ◽  
Medium Enterprises

PurposeThe purpose of the research is to explore how small and medium enterprises (SMEs) in central China achieve intelligent transformation through the use of artificial intelligence (AI). Because of unequal resource allocation, constraints on the intelligent transformation of SMEs in central China are different from those in economically and technologically well-developed coastal provinces. Hence, the authors focus on SMEs in central China to identify drivers of and barriers to intelligent transformation.Design/methodology/approachThe interview data were collected from 66 SMEs across 20 industries in central China. To verify the validity of the data collection method, the authors used two methods to control for retrospective bias: multi-level informants and enterprises' AI project application materials (Wei and Clegg, 2020). The final data were validated without conflicts. Next, the authors cautiously followed a two-step approach recommended by Venkatesh et al. (2010) and used NVivo 11.0 to analyze the collected text data.FindingsSMEs in central China are enthusiastic about intelligent transformation while facing both internal and external pressures. SMEs need to pay attention to both internal (enterprise development needs, implementation cost, human resources and top management involvement) and external factors (external market pressure, convenience of AI technology and policy support) and their different impacts on intelligent transformation. However, constrained by limited resources, SMEs in central China have been forced to take a step-by-step intelligent transformation strategy based on their actual needs with the technological flexibility method in the short term.Originality/valueConsidering the large number of SMEs and their importance in promoting China's economic development and job creation (SME Bureau of MIIT, 2020), more research on SMEs with limited resources is needed. In the study, the authors confirmed that enterprises should handle “social responsibility” carefully because over-emphasizing it will hinder intelligent transformation. However, firms should pay attention to the role of executives in promoting intelligent transformation and make full use of policy support to access more resources.

scholarly journals Process in the Community, Detain Offshore or ‘Turn Back the Boats’? Predicting Australian Asylum-seeker Policy Support from False Beliefs, Prejudice and Political Ideology

2018 ◽  
Vol 32 (4) ◽  
pp. 562-582 ◽  
Author(s):  
Lisa K Hartley ◽  
Joel R Anderson ◽  
Anne Pedersen
Keyword(s):  
Political Ideology ◽  
Asylum Seekers ◽  
False Belief ◽  
Policy Support ◽  
Hierarchical Regression ◽  
Future Research ◽  
False Beliefs ◽  
Predictive Role ◽  
Practical Implications

Abstract Over the past few decades, there has been a progressive implementation of policies designed to deter the arrival of people seeking protection. In Australia, this has included offshore processing and towing boats of asylum seekers away from Australian waters. In a community survey of 164 Australians, this study examined the predictive role of false beliefs about asylum seekers, prejudice and political ideology in support of three policies. Multiple hierarchical regression models indicated that, although political ideology and prejudice were significant predictors of policy support, false beliefs was the strongest predictor. For the policy of processing asylum seekers in the community, less endorsement of false beliefs was a significant predictor, while, for the policy of offshore processing, more endorsement of false beliefs was a significant predictor. For the boat turn-back policy, an increase in false-belief endorsement was the strongest predictor; although increases in prejudice and a prejudice–political ideology interaction (i.e. the predictive value of prejudice was stronger for participants who identified as politically conservative) also independently predicted support. Practical implications and future research avenues are discussed.

An Examination of the Importance of Strain in the Cannabis Gateway Effect

2017 ◽  
Vol 62 (11) ◽  
pp. 3603-3617 ◽  
Author(s):  
James C. McCutcheon ◽  
Stephen J. Watts
Keyword(s):  
Illicit Drugs ◽  
Research Literature ◽  
Cannabis Use ◽  
Policy Support ◽  
Adult Health ◽  
National Longitudinal Study ◽  
Gateway Theory ◽  
The Common ◽  
The Relationship

Gateway theory has been the source of much debate in both the research literature and public policy. Support for gateway sequencing has been mixed, especially in research that has considered the role of criminological variables in the etiology of substance use. For example, limited prior research has observed as important in gateway sequencing the effects of severe stressors. Data from the National Longitudinal Study of Adolescent to Adult Health are utilized to test gateway theory and examine whether severe stressors affect the relationship between frequency of cannabis use and later use of other illicit drugs (OIDs). Findings suggest that while frequency of cannabis use does increase the likelihood of later use of OIDs, this relationship may be the result of the common cause of experiencing severe stress. Implications of the findings are discussed.

scholarly journals Ruminations on the role of artists in a world of science

2008 ◽  
Vol 07 (03) ◽  
pp. C06 ◽  
Author(s):  
Edward Morris ◽  
Susannah Sayler
Keyword(s):  
Global Warming ◽  
Scientific Community ◽  
The World

In January 2006, my wife Susannah Sayler and I set out to photograph landscapes around the world that were being transformed by global warming. We called our work The Canary Project. From the beginning, as now, we had both activist aims and artistic ambitions. These two types of motivation overlap in places and in other places feel completely distinct. In general, we feel as though are carrying forward a torch that science cannot carry any further. Following are some thoughts on our role as activists and as artists and as collaborators with the scientific community.

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