Essays about: "labour migrants"

Showing result 31 - 35 of 76 essays containing the words labour migrants.

  1. 31. MIGRATING TOWARDS A BETTER FUTURE A QUALITATIVE STUDY ON MIGRATION CHOICES AND OUTCOMES IN CAMBODIA

    University essay from Lunds universitet/Institutionen för kulturgeografi och ekonomisk geografi; Lunds universitet/LUMID International Master programme in applied International Development and Management

    Author : Francesca Puricelli; [2017]
    Keywords : migration; remittances; Cambodia; development; Social Sciences;

    Abstract : By answering the questions (1) What are the underlying reasons for choosing to migrate irregularly rather than regularly, and what are the implications of this choice? and (2) How and under what structural conditions are Cambodian migrants and their households using remittances? this study seeks to understand labour migration and development interactions in Cambodia, by examining why migration and remittances bring about positive social transformations in some Khmer households and much less so, or even negative transformations, in others, in order to comprehend how their impacts can be better realised through policy in Cambodia. The research employed a case-study, based on 36 semi-structured interviews with migrant workers and their families, and 3 interviews with experts on migration. READ MORE

  2. 32. Hard Hats, Soft Protection. Barriers to accessing social protection schemes for Cambodian migrant workers in the Thai construction sector – a constructivist grounded theory approach

    University essay from Lunds universitet/Institutionen för kulturgeografi och ekonomisk geografi; Lunds universitet/LUMID International Master programme in applied International Development and Management

    Author : Oliver Harry Fisher; [2017]
    Keywords : Labour migration; Construction; Grounded theory; Social Protection; Thailand; Social Sciences;

    Abstract : Cambodian migrants in the Thai construction sector, work in precarious working environments, with limited safety conditions and low wages. The use of social protection schemes has increased in recent decades, as a method of reducing the vulnerable against poverty and livelihood risks. READ MORE

  3. 33. Labour Shortages in China’s Dual-Sector Economy: Has the world’s workshop exhausted its comparative advantage – people?

    University essay from Lunds universitet/Ekonomisk-historiska institutionen

    Author : Elise Park; [2017]
    Keywords : Lewis Turning Point; China; Labour Shortages; Economic Development; Social Sciences;

    Abstract : In 2004, acute labour shortages were first observed in labour-intensive export-processing sectors in China’s coastal provinces. Paired with rising wages in rural and urban areas, many economists have claimed China has reached its Lewis Turning Point of economic development. READ MORE

  4. 34. Successful Migrants : strategies forovercoming discrimination on the labourmarket.

    University essay from Mittuniversitetet/Avdelningen för samhällsvetenskap

    Author : Helga Juno Åberg; [2017]
    Keywords : migrant; discrimination; strategies; labour market; working conditions; Decoloniality;

    Abstract : Discrimination against migrants in the work place is a frequent subject of studies and discussions. Perceptions and experiences of the Swedish labour market are directly connected to where we come from – our skin colour, religion, and gender. READ MORE

  5. 35. Predicting Internal Migration on Individual level in Sweden Using Micro Data : A Performance Comparison of Logistic Regression and Neural Networks

    University essay from Umeå universitet/Nationalekonomi

    Author : Anders Lindström; [2017]
    Keywords : Neural networks; Logistic regression; Prediction; Machine Learning; Migration; Performance Comparison.;

    Abstract : To know in advance who, how many, and to what destination people will migrate is importantto provide robust population projections. As migration prediction model comparisons inthe literature are limited, this study compares the predictive performance of Logistic regressionand Neural networks. READ MORE