This item is accessible only to the Washington University community.

Off-Campus WUSTL Users: Click the “Off-Campus Download” button below. You will be prompted to log in using your WUSTL Key.

Language

English (en)

Date of Award

5-1-2022

Author's School

College of Arts & Sciences

Author's Department

International and Area Studies

Degree Name

Bachelor of Arts (A.B.)

Restricted/Unrestricted

Restricted

Abstract

Ongoing debates surrounding policy models which countries use to address sex work and sex trafficking/commercial sexual exploitation (CSE) contest the efficacy of each approach. The complex relationship between sex work and sex trafficking/CSE further complicates the legislative decisions countries make regarding each, whether the government chooses to strengthen punitive measures or implement greater regulation of the commercial sex industry through non-punitive measures. This comparative analysis examines policies surrounding sex work and sex trafficking/CSE in the United States and Spain to measure the efficacy of different legislative frameworks. The study provides an in-depth qualitative investigation of legislation pertaining to sex work! and sex trafficking. Quantitative analysis of data pertaining to law enforcement activity in each country (e.g., prosecutions, convictions, arrests, victim identification) complements the examination of qualitative legal sources. Analyses compare legislation and data between the two countries (federal or national) as well as levels of jurisdiction (state or regional levels). Findings reveal that despite varied approaches, both the United States and Spain implement inadequate legal measures against sex trafficking/CSE based on criminal law outcomes and qualitative evaluations. Policymakers should amend current legal models to better combat sex trafficking/CSE by decreasing the focus on criminalization, clarifying legal definitions and objectives, and improving data collection methods and organization.

Mentor

Andrea Nichols

Comments

Accessibility Notice: This document is a scanned text that has been automatically processed using Python's Tesseract Optical Character Recognition (OCR) engine to provide a text alternative for assistive software. Formatting or character recognition discrepancies may exist.

Off-campus Download

Share

COinS