| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP13312 |
| DP13312 Germs, Social Networks and Growth | |
| Laura Veldkamp; Alessandra Fogli | |
| 发表日期 | 2018-11-12 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, where do these differences come from and how large are their effects? Using network analysis tools, we explore how different social network structures affect technology diffusion and thereby a country’s rate of growth. The correlation between high-diffusion networks and income is strongly positive. But when we use a model to isolate the effect of a change in social networks, the effect can be positive, negative, or zero. The reason is that networks diffuse ideas and disease. Low-diffusion networks have evolved in countries where disease is prevalent because limited connectivity protects residents from epidemics. But a low-diffusion network in a low-disease environment needlessly compromises the diffusion of good ideas. In general, social networks have evolved to fit their economic and epidemiological environment. Trying to change networks in one country to mimic those in a higher-income country may well be counterproductive. |
| 主题 | Development Economics ; Macroeconomics and Growth |
| 关键词 | Growth Development Technology diffusion Economic networks Social Networks Pathogens Disease |
| URL | https://cepr.org/publications/dp13312 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/542126 |
| 推荐引用方式 GB/T 7714 | Laura Veldkamp,Alessandra Fogli. DP13312 Germs, Social Networks and Growth. 2018. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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