Simulation of policies to promote pro‐environmental behavior in a dynamic learning model of social networks
Cases of Brazil, the United States, Japan, Germany, China, and India
Dados Bibliográficos
| ID | 12308570 |
|---|---|
| Autores | Shinsuke Kyoi (0000-0001-7499-7497, Faculty of Humanities and Social Sciences Yamagata University Yamagata Japan, autor correspondente), Yuta Uchiyama (0000-0001-7363-896X, Graduate School of Human Development and Environment Kobe University Kobe Japan), Koichiro Mori (0009-0002-2973-7690, Faculty of Economics Shiga University Hikone Japan) |
| Ano | 2024 |
| Volume | 33 |
| Fascículo | 1 |
| Páginas | 1085-1103 |
| Data de publicação | 2024-08-26 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Sustainable Development (JOURNAL) |
| Identificadores do periódico | ISSN: 0968-0802 • E-ISSN: 1099-1719 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/sd.3165 |
| OpenAlex | W4401929140 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 57 |
Pro‐environmental behavior does not seem to diffuse sufficiently in Brazil, China, Germany, Japan, India, or the United States. Based on the current distribution of carbon footprints and learning patterns (DeGroot learning, best practice, and free riding) in social networks in the six countries, what will happen to the diffusion of pro‐environmental behaviors in each country? What policy measures will be most effective? This study aims to simulate the diffusion of pro‐environmental behavior and to test the effectiveness of various policy measures in a dynamic social network model in the six countries. The distribution of pro‐environmental behaviors is generated by global gridded carbon footprint data. The distribution of learning patterns in social networks is estimated in each country, using data from the World Values Survey. This study considers three policy measures: increasing the number of people pursuing best pro‐environmental behavior practices (best practice promotion, [BPP]), decreasing the number of free riders (free‐riding reduction, [FRR]), and converting the learning patterns of people with high degrees of centrality into best practice (centrality‐based best practice promotion, [CBPP]). Interesting findings were threefold. First, there are large differences in the estimated degrees of individual pro‐environmental behavior and the proportions of learning patterns in the six countries. Second, FRR and BPP are effective in promoting pro‐environmental behavior, but the choice of FRR or BPP depends on the initial proportion of free riders. Third, CBPP is the most effective policy of the three in all countries. Centrality in social networks must be considered when implementing intervention
Best practice · Business · Centrality · China · Distribution (mathematics · Economics · Geography · Knowledge management · Political science · Promotion (chess · Social learning · Social media · Social network (sociolinguistics · Statistics · Climate Change Communication and Perception · Computer Science · Environmental Education and Sustainability · Urban Transport and Accessibility · Marketing
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Statistical mechanics of complex networks
Conspicuous conservation
Power laws, Pareto distributions and Zipf's law
Innovation Diffusion in Heterogeneous Populations
Consumption-based accounting of CO 2 emissions
Social networks and environmental outcomes
The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes
Socio-spatial Segregation in the Era of Growing Economic Disparities
Learning in Social Networks
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Reputation and household recycling practices
Tipping pro-environmental norm diffusion at scale
The less you burn, the more we earn
What drives the solar energy transition? The effect of policies, incentives and behavior in a cross-country comparison
The Functionality of Dissimilarity
Assessing the role of perceived values and felt responsibility on pro-environmental behaviours
Network analysis reveals open forums and echo chambers in social media discussions of climate change
Social tipping processes towards climate action
Complex Contagions and the Weakness of Long Ties
Threshold Models of Collective Behavior
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 2 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |