International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach

Detalhes bibliográficos
Autor(a) principal: Rudolph, Alexandra
Data de Publicação: 2017
Outros Autores: Schneider, Friedrich
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://doi.org/10.17645/si.v5i2.909
Resumo: Worldwide human trafficking is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. This article focusses on three questions: 1) How can human trafficking be measured? 2) What are the causes and indicators of this criminal activity which exploits individuals? 3) Which countries observe a high (or low) level of human trafficking inflow? We apply the Multiple Indicators Multiple Causes structural equation model to measure human trafficking inflows in a way which includes all potential causes and indicators in one estimation model. The human trafficking measurement focusses on international human trafficking. We use freely available existing data and thus generate an objective measure of the extent of trafficking. Countries are ranked according to their potential to be a destination country based on various characteristics of the trafficking process.
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spelling International Human Trafficking: Measuring Clandestinity by the Structural Equation Approachhuman trafficking; international crime; latent variable; measurement; Multiple Indicators and Multiple Causes model; structural equation modelWorldwide human trafficking is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. This article focusses on three questions: 1) How can human trafficking be measured? 2) What are the causes and indicators of this criminal activity which exploits individuals? 3) Which countries observe a high (or low) level of human trafficking inflow? We apply the Multiple Indicators Multiple Causes structural equation model to measure human trafficking inflows in a way which includes all potential causes and indicators in one estimation model. The human trafficking measurement focusses on international human trafficking. We use freely available existing data and thus generate an objective measure of the extent of trafficking. Countries are ranked according to their potential to be a destination country based on various characteristics of the trafficking process.Cogitatio2017-06-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/si.v5i2.909oai:ojs.cogitatiopress.com:article/909Social Inclusion; Vol 5, No 2 (2017): Perspectives on Human Trafficking and Modern Forms of Slavery; 39-582183-2803reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPenghttps://www.cogitatiopress.com/socialinclusion/article/view/909https://doi.org/10.17645/si.v5i2.909https://www.cogitatiopress.com/socialinclusion/article/view/909/909Copyright (c) 2017 Alexandra Rudolph, Friedrich Schneiderinfo:eu-repo/semantics/openAccessRudolph, AlexandraSchneider, Friedrich2022-12-20T11:00:19Zoai:ojs.cogitatiopress.com:article/909Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T10:44:00.079853Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
title International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
spellingShingle International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
Rudolph, Alexandra
human trafficking; international crime; latent variable; measurement; Multiple Indicators and Multiple Causes model; structural equation model
title_short International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
title_full International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
title_fullStr International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
title_full_unstemmed International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
title_sort International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach
author Rudolph, Alexandra
author_facet Rudolph, Alexandra
Schneider, Friedrich
author_role author
author2 Schneider, Friedrich
author2_role author
dc.contributor.author.fl_str_mv Rudolph, Alexandra
Schneider, Friedrich
dc.subject.por.fl_str_mv human trafficking; international crime; latent variable; measurement; Multiple Indicators and Multiple Causes model; structural equation model
topic human trafficking; international crime; latent variable; measurement; Multiple Indicators and Multiple Causes model; structural equation model
description Worldwide human trafficking is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. This article focusses on three questions: 1) How can human trafficking be measured? 2) What are the causes and indicators of this criminal activity which exploits individuals? 3) Which countries observe a high (or low) level of human trafficking inflow? We apply the Multiple Indicators Multiple Causes structural equation model to measure human trafficking inflows in a way which includes all potential causes and indicators in one estimation model. The human trafficking measurement focusses on international human trafficking. We use freely available existing data and thus generate an objective measure of the extent of trafficking. Countries are ranked according to their potential to be a destination country based on various characteristics of the trafficking process.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-23
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.17645/si.v5i2.909
oai:ojs.cogitatiopress.com:article/909
url https://doi.org/10.17645/si.v5i2.909
identifier_str_mv oai:ojs.cogitatiopress.com:article/909
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.cogitatiopress.com/socialinclusion/article/view/909
https://doi.org/10.17645/si.v5i2.909
https://www.cogitatiopress.com/socialinclusion/article/view/909/909
dc.rights.driver.fl_str_mv Copyright (c) 2017 Alexandra Rudolph, Friedrich Schneider
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Alexandra Rudolph, Friedrich Schneider
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Cogitatio
publisher.none.fl_str_mv Cogitatio
dc.source.none.fl_str_mv Social Inclusion; Vol 5, No 2 (2017): Perspectives on Human Trafficking and Modern Forms of Slavery; 39-58
2183-2803
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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