Abstract
We develop an agent-based computational model in which the urban informal sector acts as a buffer where rural migrants can earn some income while queuing for higher paying modern-sector jobs. In the model, the informal sector emerges as a result of ruralurban migration decisions of heterogeneous agents subject to social influence in the form of neighboring effects of varying strengths. Besides using a multinomial logit choice model that allows for agent idiosyncrasy, explicit agent heterogeneity is introduced in the form of socio-demographic characteristics preferred by modern-sector employers. We find that different combinations of the strength of social influence and the socio-economic composition of the workforce lead to very different urbanization and urban informal sector shares. In particular, moderate levels of social influence and a large proportion of rural inhabitants with preferred socio-demographic characteristics are conducive to a higher urbanization rate and a larger informal sector.
| Original language | English |
|---|---|
| Pages (from-to) | 1563-1574 |
| Number of pages | 12 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 391 |
| Issue number | 4 |
| DOIs | |
| State | Published - 15 Feb 2012 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Adaptation and self-organizing systems
- Agent-based modeling
- Physics and society
- Ruralurban migration
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