Why Do Migrant Workers Intend to Extend Their Stay in Host Countries? The Case of Bangladeshi Workers in Malaysia's Manufacturing Sector

This article explores various factors resulting in temporary migrant workers' decisions to extend their stay in host countries by means of a case study of Bangladeshi factory workers in Malaysia. The employment mediation and passage fees paid to brokers and agents by Bangladeshi workers are very large compared with general living standards in Bangladesh. These large sums are increasing steadily as the number of persons desiring to work overseas increases. Malpractice by brokers and agents causes Bangladeshi workers to overestimate the amount of remittances they can send home, and hence they pay higher mediation and passage fees to brokers or agents. From a humanitarian point of view, the Government should strictly regulate the activities of agents and brokers and provide accurate information to those who plan to work in Malaysia. Statistical analysis suggests that the lower real remittances fall below the expected amounts, and the lower real wages are, compared with passage and mediation fees, the more will Bangladeshi workers wish to extend their stay. These facts imply that if future Bangladeshi migrant workers to Malaysia have the correct information about income levels and living expenses in Malaysia, and hence mediation and passage fees become cheaper, the likelihood of their intending to extend their stays will be much lower.     

Post-Political Transitions in Arab Spring Countries: The Challenges

This paper aims at examining the impact of political transitions on democracy, corruption and growth in countries which knew democratic changes. The results of our study indicate that these changes positively affect implementation of democratic principles, the struggle against corruption and economic growth. We examined also the case of the Arab spring countries focusing on the main political and socio-economic challenges and most importantly the religious challenge which is a characteristic of these countries. Indeed, religion may be considered as a relevant variable in these transitions and consequently it is very difficult to claim short-term or long-term triumph of these transitions as Arabs are now in a political boiling phase where religion may gather unexpected results.     

Assessment of multidimensional poverty and effectiveness of microfinance-driven government and NGO projects in the rural Bangladesh

This paper has developed a multidimensional model usable in assessing economic, social, political and cultural dimensions of poverty by utilizing primary data collected from 78 villages in Bangladesh using a participatory approach. Employing the developed model, a comparative analysis has been performed between microfinance-driven government (GO) and NGO (non-government organization) projects to explore their relative effectiveness in enhancing wellbeing of the poor in rural Bangladesh. It is observed that GO agencies are more effective in enhancing ‘economic wellbeing’ of the poor, whereas NGOs are contributing more in the ‘social’ aspects of wellbeing. Findings also revealed that, as whole, GO agencies perform 42% better than NGOs in improving living standards of the rural poor which contradicts with the existing literature of poverty reduction projects in developing countries.     

Simultaneity in the use of maternal-child health care and contraceptives: evidence from developing countries

This study examined the relationship between the use of maternal-child health (MCH) care and the use of contraceptives. The high correlation between the two may be due to the independent effect of one on the other or to an association of both with the same or similar background factors. We used structural equation models to examine the relationship between these two interventions. The data were derived from six Demographic and Health Surveys: Zimbabwe from Sub-Saharan Africa, Thailand from Asia, Egypt and Tunisia from North Africa, and Guatemala and Colombia from Latin America. The results show that in all six countries, the use of contraceptives and MCH care are significantly associated, independent of intervening factors; this finding suggests that families develop a joint demand for better-quality health and limited family size and translate these demands into action by using health services for mothers and for children and by voluntarily regulating fertility.     

Bangladesh

In Bangladesh the Population Control and Family Planning Division of the Ministry of Health and Population Control has decided to delegate increased financial and administrative powers to the officers of the family planning program at the district level and below. Currently, about 20,000 family planning workers and officials are at work in rural areas. The government believes that the success of the entire family planning program depends on the performance of workers in rural areas, because that is where about 90% of the population lives. Awareness of the need to improve statistical data in Bangladesh has been increasing, particularly in regard to the development of rural areas. An accurate statistical profile of rural Bangladesh is crucial to the formation, implementation and evaluation of rural development programs. A Seminar on Statistics for Rural Development will be held from June 18-20, 1980. The primary objectives of the Seminar are to make an exhaustive analysis of the current availability of statistics required for rural development programs and to consider methodological and operational improvements toward building up an adequate data base.     

Adjusting for covariates in non-inferiority studies with margins defined as risk differences

Adjusting for covariates makes efficient use of data and can improve the precision of study results or even reduce sample sizes. There is no easy way to adjust for covariates in a non-inferiority study for which the margin is defined as a risk difference. Adjustment is straightforward on the logit scale, but reviews of clinical studies suggest that the analysis is more often conducted on the more interpretable risk-difference scale. We examined four methods that allow for adjustment on the risk-difference scale: stratified analysis with Cochran-Mantel-Haenszel (CMH) weights, binomial regression with an identity link, the use of a Taylor approximation to convert results from the logit to the risk-difference scale and converting the risk-difference margin to the odds-ratio scale. These methods were compared using simulated data based on trials in HIV. We found that the CMH had the best trade-off between increased efficiency in the presence of predictive covariates and problems in analysis at extreme response rates. These results were shared with regulatory agencies in Europe and the USA, and the advice received is described.     

New Methods for Evaluating Energy Infrastructure Development Risks

Many energy technologies that can provide reliable, low-carbon electricity generation are confined to nations that have access to robust technical and economic capabilities, either on their own or through geopolitical alliances. Equally important, these nations maintain a degree of institutional capacity that could lower the risks associated with deploying emergent energy technologies such as advanced nuclear or carbon capture and storage. The complexity, expense, and scrutiny that come with building these facilities make them infeasible choices for most nations. This paradigm is slowly changing, as the pressing need for low-carbon electricity generation and ongoing efforts to develop modular nuclear and carbon capture technologies have opened the door for potentially wider markets, including in nations without substantial institutional capacity. Here, using advanced nuclear technologies as our testbed, we develop new methods to evaluate national readiness for deploying complex energy infrastructure. Specifically, we use Data Envelopment Analysis—a method that eliminates the need for expert judgment—to benchmark performance across nations. We find that approximately 80% of new nuclear deployment occurs in nations that are in the top two quartiles of institutional and economic performance. However, 85% of potential low-carbon electricity demand growth is in nations that are in the bottom two quartiles of performance. We offer iconic paradigms for deploying nuclear power in each of these clusters of nations if the goal is to mitigate risk. Our research helps redouble efforts by industry, regulators, and international development agencies to focus on areas where readiness is low and risk correspondingly higher.     

Household and Contextual Indicators of Poverty in Tunisia: A Multilevel Analysis

Using micro data from the 2010 National Survey on Households’ Budget, Consumption and Standard of Living, this study aims to investigate main factors contributing to poverty distribution, one of the most severe socioeconomic problems in Tunisia. To this end, we use a multilevel Logit model and a multilevel mixed linear model to simultaneously analyze the micro-level (household) and macro-level (governorate) factors that might affect the household poverty status. Household size, household composition, occupation, education levels, the gender of the household head and the number of earner by household variables were assessed at the micro-level. Unemployment rate, poverty rate, industrial and agriculture parts and the migration are included to control the effect of contextual effects. Our findings showed that the likelihood of household being poor is positively and significantly related to household size, more children and lower education level. Extreme poverty is more likely to occur in rural than urban areas. Macro-level analyses indicated that greater neighbourhood unemployment rate was associated with higher odds of poverty, while greater industrial agglomeration and migration balance were associated with reduced odds of poverty.     

Terrorism and the integration of Muslim immigrants

We study the effect that a series of Islamist terrorist attacks across Europe in 2004–2005 had on the integration of Muslim immigrants. Using unique panel data that oversamples immigrants in the Netherlands, we show that, shortly after the attacks, Muslim immigrants’ attitudes toward integration worsened significantly compared to those of non-Muslim immigrants, with no evidence of a negative trend in the attitudes of Muslims prior to the attacks. While, in particular, low-educated Muslims became more geographically segregated and unemployed after the attacks, high-educated Muslims were affected most negatively in terms of their perceived integration. This decline in perceived integration is associated with a higher intention to permanently re-migrate to the country of origin.