气候变化领域集成服务门户(CCPortal): Communicating sentiment and outlook reverses inaction against collective risks

CCPortal

DOI	10.1073/pnas.1922345117
	Communicating sentiment and outlook reverses inaction against collective risks
	Wang Z.; Jusup M.; Guo H.; Shi L.; Geček S.; Anand M.; Perc M.; Bauch C.T.; Kurths J.; Boccaletti S.; Schellnhuber H.J.
发表日期	2020
ISSN	0027-8424
起始页码	17650
结束页码	17655
卷号	117 期号:30
英文摘要	Collective risks permeate society, triggering social dilemmas in which working toward a common goal is impeded by selfish interests. One such dilemma is mitigating runaway climate change. To study the social aspects of climate-change mitigation, we organized an experimental game and asked volunteer groups of three different sizes to invest toward a common mitigation goal. If investments reached a preset target, volunteers would avoid all consequences and convert their remaining capital into monetary payouts. In the opposite case, however, volunteers would lose all their capital with 50% probability. The dilemma was, therefore, whether to invest one’s own capital or wait for others to step in. We find that communicating sentiment and outlook helps to resolve the dilemma by a fundamental shift in investment patterns. Groups in which communication is allowed invest persistently and hardly ever give up, even when their current investment deficits are substantial. The improved investment patterns are robust to group size, although larger groups are harder to coordinate, as evidenced by their overall lower success frequencies. A clustering algorithm reveals three behavioral types and shows that communication reduces the abundance of the free-riding type. Climate-change mitigation, however, is achieved mainly by cooperator and altruist types stepping up and increasing contributions as the failure looms. Meanwhile, contributions from free riders remain flat throughout the game. This reveals that the mechanisms behind avoiding collective risks depend on an interaction between behavioral type, communication, and timing. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Climate change; Free riding; Group size; Negotiation; Social dilemma
语种	英语
scopus关键词	adult; article; climate change; clustering algorithm; controlled study; human; investment; probability; social aspect; behavior; interpersonal communication; theoretical model; Behavior; Climate Change; Communication; Humans; Models, Theoretical
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160865
作者单位	Wang, Z., School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China, Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, 710072, China; Jusup, M., Tokyo Tech World Research Hub Initiative, Institute of Innovative Research, Tokyo Institute of Technology, Tokyo, 152-8550, Japan; Guo, H., School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China, Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, 710072, China; Shi, L., Statistics and Mathematics College, Yunnan University of Finance and Economics, Kunming, 650221, China, Interdisciplinary Research Institute of Data Science, Shanghai Lixin University of Accounting and Finance, Shanghai, 201209, China; Geček, S., Division for Marine and Environmental Research, Rudjer Boskovic Institute, Zagreb, 10002, Croatia; Anand, M., School of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Cana...
推荐引用方式 GB/T 7714	Wang Z.,Jusup M.,Guo H.,et al. Communicating sentiment and outlook reverses inaction against collective risks[J],2020,117(30).
APA	Wang Z..,Jusup M..,Guo H..,Shi L..,Geček S..,...&Schellnhuber H.J..(2020).Communicating sentiment and outlook reverses inaction against collective risks.Proceedings of the National Academy of Sciences of the United States of America,117(30).
MLA	Wang Z.,et al."Communicating sentiment and outlook reverses inaction against collective risks".Proceedings of the National Academy of Sciences of the United States of America 117.30(2020).