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Medical tourism is a global phenomenon in many parts of the world. It features an activity where individuals travel from home country to the host country to seek or receive medical healthcare. Being the third largest sector, medical tourism has a significant contribution towards economic development in the Southeast Asia (SEA) region. However, the literature review depicts a scarcity of research on niche areas among the top player in this region. This study aims to explore the development of the medical tourism industry in the SEA region. An in-depth interview with stakeholders and private hospitals were conducted and analyzed using thematic analysis coupled with document analysis from various secondary data. Four SEA regions were chosen namely Malaysia, Indonesia, Thailand, and Singapore which offer specific niche markets to promote the medical tourism industry. Interestingly, these countries are complementing and not competing with each other in the same industry. This study is vital in enriching the literature in the field of medical tourism in showcasing the niche market of medical tourism in the SEA region. This study also contributes greatly to comparative analysis between these countries in the medical tourism sector. 

This paper focuses on social security threats brought by the Rohingya refugees in Malaysia especially on healthcare services.  First, a brief historical background of Rohingya ethnic and how this ethnic became refugees is discussed. Secondly, this paper provides a preview of Rohingyas during post-Myanmar’s political transition. and a short background of Rohingyas in Malaysia. Third, this paper examines the healthcare services among the Rohingya refugees in Klang Valley, Malaysia, and the accessibility of healthcare.

The study aims to examine the effects of oil price and exchange rate on unemployment in Malaysia. The empirical analysis commence by analyzing the time series property of data. The Johansen VAR-based co-integration technique was applied to examine the long run relationship between exchange rate, oil price and unemployment and found the long run relationship does exist. The vector error correction model was performed to check the short run dynamics and found that the short run dynamics are influenced by the estimated long run equilibrium. Granger causality was done and found that oil price does not affect unemployment but exchange rate has an influence on unemployment. Therefore, putting the exchange rate under control should be implemented to control unemployment.