WEKO3
アイテム
Institutions and Human Trafficking: An Empirical Analysis
https://iuj.repo.nii.ac.jp/records/2000194
https://iuj.repo.nii.ac.jp/records/2000194d3f3535b-1efc-45c3-a38b-138929e11315
| 名前 / ファイル | ライセンス | アクション |
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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| 公開日 | 2026-01-09 | |||||||
| タイトル | ||||||||
| タイトル | Institutions and Human Trafficking: An Empirical Analysis | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題 | political institutions; economic institutions; human trafficking; victims; compliance; institutional quality; economic freedom; political risk | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| 著者 |
Md Saidur Rahman
× Md Saidur Rahman
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| 著者(英) | ||||||||
| 姓名 | Md Saidur Rahman | |||||||
| 言語 | en | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Human trafficking is a pressing global issue and the target of three Sustainable Development Goals (SDG): SDG 5 (gender equality), SDG 8 (decent work and economic growth), and SDG 16 (peace, justice, and strong institutions). Anti-trafficking policies have been designed to address global human trafficking, urging states to enforce measures against human trafficking at the national, regional, and transnational levels. Consequently, identifying trafficked people and complying with anti-trafficking policies have become major tasks of all states/governments seeking to eliminate trafficking. Considering the role of institutions in eliminating trafficking and their influence on the politico-socio-economic root causes of the problem, this study empirically investigated the influences of domestic institutions on the three key areas of human trafficking: trafficking reduction, the identification of trafficked people, and states’ compliance with anti-trafficking policies. This study used an institutional approach and incorporated political and economic risk indices following empirical investigations. A logit model, a two-step system generalized method of moment, and an ordered probit model were employed to measure human trafficking, victim identification, and country compliance, respectively. The study used data from reliable sources—U.S. Department of State’s TIP and UNODC—for human trafficking and reported victims of trafficking for 113 countries in 2003–2021 and for compliance TIP Tier rankings data for 131 countries in 2003-2023. The results indicate that political institutions, economic institutions, institutional quality, and economic freedoms influence human trafficking negatively and significantly. Moreover, political and economic risk indices showed negative coefficients, indicating a reduction in human trafficking. Conversely, the empirical measurement for reported trafficking victims yielded positive coefficients, implying an increase in the identification of trafficked persons. Similarly, the study produced positive coefficients for institutional quality, the rule of law, economic freedom, property rights, political risk ratings, religious tensions, and country compliance with the anti-trafficking protocol. Therefore, the findings suggest that if domestic political and economic institutions, single institutional indicators, and economic freedoms improve simultaneously, SDG targets to eliminate global trafficking can be achieved more effectively. | |||||||
| 言語 | en | |||||||
| 学位名 | ||||||||
| 言語 | ja | |||||||
| 学位名 | 博士(国際関係学)/ Ph.D. in International Relations | |||||||
| item_10006_degree_grantor_9 | ||||||||
| 言語 | en | |||||||
| 学位授与機関名 | International University of Japan | |||||||
| 学位授与年度 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 2025 | |||||||
| 言語 | en | |||||||
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| 学位授与年月日 | 2025-12-31 | |||||||
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| 学位授与番号 | 国際博第14号 | |||||||