"This article provides some empirical information pertaining to the benefits and costs of foreign labor to Singapore and subjects to critical analysis some of Pang and Lim's hypotheses concerning the costs of labor importation presented in a previous article.... The article concludes with a discussion of the real cost to Malaysia of Singapore's labor importation policies and its potential for disruption of Malaysia's development plans."
"The links between Indonesia and Johor, Malaysia, across the narrow straits have been strong for centuries. Many Johoreans trace their origins to various islands in the Indonesian archipelago. In recent years the presence of large numbers of Indonesian migrant workers in Malaysia has become the focus of media and political debate; it is seen not only as undermining working conditions but as aggravating fragile ethnic relations within Malaysia. The aim of this article is to examine the presence and employment of Indonesians in the southern area of Johor, and the responses of government and the public to this phenomenon."
"Wide income differentials, the threat of increased illegal immigration from developing countries, and sub-replacement fertility in the developed countries are some reasons for the recent reassessment of the relationship between migration and development.... The model presented in this article proposes different roles for permanent immigrants, contract workers, professional transients, illegal migrants and others according to the stages of modernization of the sending and receiving countries. The model was found consistent with the experiences of Mauritius, Seychelles, Singapore and, to a lesser extent, Malaysia."
PIP:
Fertility trends and prospects for east and southeast Asian countries including cities in China, Taiwan, the Republic of Korea, Thailand, Indonesia, Malaysia, the Philippines, Myanmar, and Viet Nam are described. Additional discussion focuses on family planning methods, marriage patterns, fertility prospects, theories of fertility change, and policy implications for the labor supply, labor migrants, increased female participation in the labor force (LFP), human resource development, and social policy measures. Figures provide graphic descriptions of total fertility rates (TFRS) for 12 countries/areas for selected years between 1960-90, TFR for selected Chinese cities between 1955-90, the % of currently married women 15-44 years using contraception by main method for selected years and for 10 countries, actual and projected TFR and annual growth rates between 1990-2020 for Korea and Indonesia. It is noted that the 1st southeast Asian country to experience a revolution in reproductive behavior was Japan with below replacement level fertility by 1960. This was accomplished by massive postponement in age at marriage and rapid reduction in marital fertility. Fertility was controlled primarily through abortion. Thereafter every southeast Asian country experienced fertility declines. Hong Kong, Penang, Shanghai, Singapore, and Taipei and declining fertility before the major thrust of family planning (FP). Chinese fertility declines were reflected in the 1970s to the early 1980s and paralleled the longer, later, fewer campaign and policy which set ambitious targets which were strictly enforced at all levels of administration. Korea and Taiwan's declines were a result of individual decision making to restrict fertility which was encouraged by private and government programs to provide FP information and subsidized services. The context was social and economic change. Indonesia's almost replacement level fertility was achieved dramatically through the 1970s and 1980s by institutional change in ideas about families and schooling and material welfare, changes in the structure of governance, and changes in state ideology. Thailand's decline began in the 1960s and is attributed to social change, change in cultural setting, demand, and FP efforts. Modest declines characterize Malaysia and the Philippines, which have been surpassed by Myanmar and Viet Nam. The policy implications are that there are shortages in labor supply which can be remedied with labor migration, pronatalist policy, more capital intensive industries, and preparation for a changing economy.
PIP: A model of the determinants of child quality and of the value of a woman's time is developed and tested using data from the Malaysian Family Life Survey of 1976-1977. Child quality is measured by educational attainment; factors influencing the value of the mother's time include size and age composition of household, family income, education, and hours worked. The results indicate that size and age composition of household affect a woman's asking wage. However, more data are needed before the effects of family structure on schooling can be measured with confidence.
This study distinguished between the application of e-health and m-health technologies in sub-Saharan African (SSA) countries based on the dimensions of use, targeted diseases or health conditions, locations of use, and beneficiaries (types of patients or health workers) in a country specific context. It further characterized the main opportunities and challenges associated with these dimensions across the sub-region. A systematic review of the literature was conducted on 66 published peer reviewed articles. The review followed the scientific process of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines of identification, selection, assessment, synthesis and interpretation of findings. The results of the study showed that m-health was prevalent in usage for promoting information for treatment and prevention of diseases as well as serving as an effective technology for reminders towards adherence. For e-health, the uniqueness lay in data acquisition and patients' records management; diagnosis; training and recruitment. While m-health was never used for monitoring or training and recruitment, e-health on the other hand could not serve the purpose of reminders or for reporting cases from the field. Both technologies were however useful for adherence, diagnosis, disease control mechanisms, information provision, and decision-making/referrals. HIV/AIDS, malaria, and maternal (postnatal and antenatal) healthcare were important in both m-health and e-health interventions mostly concentrated in the rural settings of South Africa and Kenya. ICT infrastructure, trained personnel, illiteracy, lack of multilingual text and voice messages were major challenges hindering the effective usage of both m-health and e-health technologies.