By Shreya Bhat and Hui Yin Chuah

This report explores the financial dimension of human smuggling across Southeast Asia, drawing insights from extensive 4Mi surveys conducted between December 2022 and August 2023. Focusing on the experiences of refugees and migrants from Cambodia, Laos, Vietnam, Afghanistan, Bangladesh, Indonesia, Somalia, and Myanmar who engaged smugglers during their journeys, the report sheds light on how refugees and migrants finance their smuggling journey.

Key findings include:

• In Thailand, smuggling fees constituted 85% of the journey costs among Rohingya and Vietnamese respondents, the highest among all groups.

• In Malaysia, 57% used a smuggler for part of or the whole journey, with Rohingya most commonly using several smugglers for different parts of the journey.

• The average smuggling fee to Indonesia was USD 2,651. Afghan respondents paid the highest average smuggling fees (USD 5,748), and Somali respondents the lowest (USD 1,356)

Geneva, SWIT: Mixed Migration Centre, 2024. 362.

By Linguère M'Baye

The aim of this thesis is to study through four essays the economics of migration from developing countries. The …rst chapter assesses the e¤ect of natural disasters (mainly due to climate change), in developing countries, on migration rates and looks at how this e¤ect varies according to the level of education of people. Our results show that natural disasters are positively associated with emigration rates and also involve the migration of highly skilled people. The second chapter presents the di¤erent channels explaining the intention to migrate illegally. One of the novelties of the analysis is that it uses a tailor-made survey among urban Senegalese individuals. We …nd that potential illegal migrants are willing to accept a substantial risk of death and tend to be young, single and with a low level of education. We also show that the price of illegal migration, migrant networks, high expectations, tight immigration policies and the preferred destination country all play a role in the willingness to migrate illegally. The third chapter completes the second one by studying the role of risk-aversion and discount rate in illegal migration from Senegal. Our results show that these individual preferences matter in the willingness to migrate illegally and to pay a smuggler. Finally in the fourth chapter, we are interested in the e¤ect of migrants on credit markets in a rural Senegalese context. According to our results, having a migrant in a household increases both the likelihood of having a loan and its size, whether the loan is formal or informal. We also …nd that this positive e¤ect remains signi…cant no matter if the loan is taken for professional activities or simply to buy food.

Université d' Auvergne ,CERDI - Centre d'Études et de Recherches sur le Développement International. 2013. 183p.

By Jean-Louis Arcand and Linguère M'Baye

Illegal immigration from the developing world to rich countries is one of the most controversial topics today. Using a unique data set on potential illegal migrants collected in Dakar, Senegal, we characterize the preferences and characteristics of illegal migrants, and the manner in which these factors interact so as to yield observed behavior. On the basis of our theoretical model, we evaluate a measure of the time and risk preferences through the individual discount rates and the individual coefficients of absolute risk aversion. Then, we test empirically our theoretical propositions and we show that these variables play a role, in the illegal migration decision, in the willingness to pay a smuggler and in the choice of the method of migration, at least as important as "classical" migration determinants such as the expected wage in the host country.

Clermont-Ferrand, France: CERDI, 2011. 27p.