
doi: 10.2139/ssrn.1692589
handle: 10419/144412
In this paper we investigate the determinants of the dramatic increase in services tradability focusing on the extensive margin of the phenomenon. We use balance sheet and rm-level service trade information over the period 1995-2005 provided by the National Bank of Belgium and we merge it with information on the evolution of information technology use and tasks performed by workers from the qualication and career survey provided by the BIBB-IAB. We show that technological change, measured either by the more intensive use of information technologies or by changes in the task content of jobs, has substantially contributed to the increase in the number of service-trading rms. Interestingly, we nd evidence of a churning eect. While technological change has induced net entry into service trading, it has also increased the likelihood of both gross entry and exit of rms. Furthermore, our evidence suggests that due to the peculiar nature of services provision, the change in the tasks content of jobs is a better measure of technological change than the use of information technologies. Our results are robust to controlling for service trade liberalization and oshoring.
Dienstleistungshandel, O33, Handelsliberalisierung, Belgien, ddc:330, F14, F16, technological change, task content, trade in services, Informationstechnik, Technischer Fortschritt, extensive margin, trade in services; extensive margin; technological change; task content, L80, jel: jel:L80, jel: jel:F14, jel: jel:F16, jel: jel:O33
Dienstleistungshandel, O33, Handelsliberalisierung, Belgien, ddc:330, F14, F16, technological change, task content, trade in services, Informationstechnik, Technischer Fortschritt, extensive margin, trade in services; extensive margin; technological change; task content, L80, jel: jel:L80, jel: jel:F14, jel: jel:F16, jel: jel:O33
| 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). | 7 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
