
doi: 10.1007/bf02686292
The “information have-less” is a social, economic, and political category for millions of rural-to-urban migrants and laid-off workers, who populate the vast gray zone of China's digital divide. Disengaged from institutions of agricultural and industrial production, the information have-less make use of such inexpensive ICT services as Internet cafes, prepaid phone cards, and Little Smart mobile phones. These low-end digital technologies are critical to enhancing labor mobility (both physical and social) and to the formation of “translocal networks”. In this paper, we conduct a preliminary assessment of ICT usage in, key city-regions in China and consider the consequences of translocal network formations for evolving information inequality in China. These networks raise key theoretical issues related to regionalism, mobility, and state-firm relationships that impinge on low-end service provision, and stratified patterns of information access and utilization within the have-less populations. We view translocal networks an important socio-economic asset of the information have-less and an arena for the articulation of labor mobility in China’s industrialization process and latest wave of urbanization.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 74 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
