FACTORS INFLUENCING THE INTERNATIONAL MIGRATION INTENTION OF HUMAN RESOURCES: A STUDY OF THAI SKILLED WORKFORCES IN MALAYSIA
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Abstract
this research were to study the demographic characteristics among Thai skilled workforces in Malaysia, and to investigate the relationship between the Economic factor and Socio-cultural factor toward international migration intention among Thai skilled workforces in Malaysia. The data were collected from 346 samples through online survey. Descriptive statistics showed the demographic characteristics among Thai skilled workforces in Malaysia were that most of Thai skilled workforces who work in Malaysia are attached in Technology, Information & Communications industry, most of them are young people aged 23-30 years old, working for 1-5 years’ experiences and earn more than RM5,000/month. A correlation and multiple regression analysis were tested to investigate the relationship between the Economic factor, and Socio-cultural factor toward international migration intention. The result showed that there was a moderate positive correlation between Economic factor and Workforces’ Migration Intention . The positive correlation between Socio-Cultural and Workforces’ Migration Intention was also moderate. A multiple regression analysis showed that Economic, and Socio-Cultural were positively significant predictors toward Workforces’ Migration Intention (P<0.05). In addition, the study found that Socio-Cultural factor gave the highest impact (Beta = 0.304) while Economic factor had the lower impact (Beta = 0.149) towards Workforces’ Migration Intention. This shows that Thai skilled workforces in Malaysia are attracted by a higher share of same-type of social and culture in the destination country. The results of this study contribute to the literature by enhancing the understanding of workforces’ migration intention especially within the context of Thailand–Malaysia.
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References
Adsera, A. (2015). Language and culture as drivers of migration. IZA World of Labor. https:/doi.10.15185/izawol.164
Adsera, A., & Pytlikova, M. (2015). The role of languages in shaping international migration. Economic Journal, 125(586), 49-81.
Altanchimeg, Z., Nam, K., & Sarantuya, J. (2020). The Push and Pull Factors Affecting the Migration of Mongolians to the Republic of South Korea. SHS Web of Conferences. https:/doi.10.1051/shsconf/20219001023
Beine, M., Simone, B., & Jesus Fernandez, H.M. (2016). A Practitioners’ Guide to Gravity Models of International Migration. World Economy, 39(4), 496–512.
Binggeli, S., Dietz, J., & Krings, F. (2013). Immigrants: A forgotten minority. Industrial and Organizational Psychology, 6, 107– 113.
Castelli, F. (2018). Drivers of migration: why do people move?, Journal of Travel Medicine, 25(1), 1-7.
Chalamwong, Y. (2020, May 6). How to protect over 2 million migrant workers in Thailand from Covid-19. TDRI. https://tdri.or.th/en/2020/05/how-to-protect-migrant-workers-in-thailand-from-covid-19/
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum
Dewanto, P.A. (2020). Labouring Situations and Protection among Foreign Workers in Malaysia. HBS Southeast Asia. https://th.boell.org/en/2020/08/20/labouring-situations-malaysia
Enache, N., & Rabanal, M.G. (2020). Migration of Labor Force in the European Countries. Efectos económicos de las migraciones. Efectos económicos de las migraciones, 3(4), 233-254.
Faggian, A., Corcoran, J., & Partridge, M. (2015). Interregional Migration Analysis. Handbook in the Research of Methods and Applications in Economic Geography. pp. 468–490. Cheltenham: Edward Elgar Publishing.
George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference. 11.0 update (4th ed.). Boston: Allyn & Bacon.
Gentile, E. (2019). Skilled Labor Mobility and Migration: Challenges and Opportunities for the ASEAN Economic Community. United Kingdom: Edward Elgar Publishing.
Gijsberts, M., & Dagevos, J. (2007). The socio-cultural Integration of ethnic minorities in the Netherlands: Identifying neighbourhood effects on multiple integration outcomes. Housing Studies, 22(5), 805–831.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. A Global Perspective: Pearson Education International. New Jersey.
Hamzah, I. S., Sarifin, M.R.,Abdul Aziz, M.S., & Azri Abdullah, M. F. (2020). Malaysia as Attraction of International Foreign Workers. Journal of Critical Reviews, 7(8), 797-804.
ILO global estimates on migrant workers: results and methodology. (2018, January 1). International Labour Office, Geneva: ILO. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_652001.pdf
Jampaklay, A., Ford, K., & Chamratrithirong, A. (2017). How does unrest affect migration? Evidence from the three southernmost provinces of Thailand. DEMOGRAPHIC RESEARCH, 37(3), 25-52.
Jordaan, J. A. (2018). Foreign workers and productivity in an emerging economy: The case of Malaysia. Review of Development Economics, 2(1),148-173.
Kaur, A. (2014). Managing Labour Migration in Malaysia: Guest Worker Programs and the Regularisation of Irregular Labour Migrants as a Policy Instrument. Asian Studies Review, 38(3), 345–366.
Krasteva, V., McDonnell, A., & Tolgensbakk, I. (2019). Mobile young individuals: Subjective experiences of migration and return. Negotiating early job insecurity. Well-being, scarring and resilience of European youth. Cheltenham: Edward Elgar Publishing.
Krejcie, R.V., & Morgan, D.W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(1), 607-610.
Mohamed, M.A., & Abdul-Talib, A.N. (2020). Push-pull factors influencing international return migration intentions: a systematic literature review. International Return Migration Intentions, 14(2), 231-246.
Okafor, C., & Chimereze, C. (2020). Brain drain among Nigerian nurses: implications to the migrating nurse and the home country. International Journal of Research and Scientific Innovation, 7(1), 15-21.
Parutis, V. (2014). ‘Economic Migrants’ or ‘Middling Transnationals’? East European Migrants’ Experiences of Work in the UK. International Migration, 52(1), 36-55.
Promsaka Na Sakolnakorn, T. (2019). Problems, obstacles, challenges, and government policy guidelines for Thai migrant workers in Singapore and Malaysia. Kasetsart Journal of Social Sciences, 40(1), 98–104.
Ravenstein, E. (1876). The birthplaces of the people and the laws of migration. The geographical Magazine III: 173-77, 201-6, 229-33.
Richard. C. J. (2016). Harbingers of Migration Regression: Global Trends and a Mexican Case Study. Social Science Quarterly, 97(2), 293–310.
Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion-referenced test item validity. Tijdschrift voor Onderwijsresearch, 2(2), 49–60.
Saar, M. (2016). Individualisation of Migration from the East? Comparison of Different Socio-Demographic Groups and their Migration Intentions. Studies of Transition States and Societies, 8(3), 45-49.
Sleutjes, B. (2016), Housing and Amenities as Attracting Factors for Cities and their Regions: A Literature Review. Skills and Cities. 259–268. New York: Routledge.
Stanojoska, A., & Petrevski, B. (2012). Theory of push and pull factors: a new way of explaining the old. Archibald Reiss Days Conference. Belgrade, Serbia
Turner, R. C., & Carlson, L. (2003). Indexes of Item-Objective Congruence for Multidimensional Items. International Journal of Testing, 3(2), 163-171.
Van Hear, N., Bakewell, O., & Long, K. (2017). Push-pull plus: reconsidering the drivers of migration. Journal of Ethnic and Migration Studies, 44(6), 927-944.
World Bank Report. (2013). Immigration in Malaysia: Assessment of its economic effects and a review of the policy and system. https://psu.um.edu.my/img/Recommended%20Reading/Recommended/Immigration%20in%20Malaysia.pdf