EconStor >
ifo Institut – Leibniz-Institut für Wirtschaftsforschung an der Universität München >
CESifo Working Papers, CESifo Group Munich >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/46513
  
Title:The spread of anti-trafficking policies: Evidence from a new index PDF Logo
Authors:Cho, Seo-young
Dreher, Axel
Neumayer, Eric
Issue Date:2011
Series/Report no.:CESifo working paper: Public Choice 3376
Abstract:We analyze the spread of policies dealing with international trafficking in human beings. Arguing that countries are unlikely to make independent choices, we identify pressure, externalities and learning or emulation as plausible diffusion mechanisms for spatial dependence in anti-trafficking policies. We develop a new index measuring governments' overall anti-trafficking policies for 177 countries over the 2000-2009 period. We also assess a country's level of compliance in the three main constituent dimensions of anti-trafficking policies - prosecution, protection and prevention. Employing a spatial autoregressive model, we find that, with the exception of victim protection measures, anti-trafficking policies diffuse across contiguous countries and main trading partners due to externality effects. We find evidence for learning or emulation effects in all policy domains, with countries looking toward peers with similar political views or cultural values. Surprisingly, major destination countries do not seem to exert pressure on relevant main countries of origin or transit to ratchet up their policies.
Subjects:human trafficking
human rights
spatial dependence of policies
JEL:O15
F22
P41
Document Type:Working Paper
Appears in Collections:CESifo Working Papers, CESifo Group Munich

Files in This Item:
File Description SizeFormat
660696797.pdf656.12 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/46513

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.