Convention on the Elimination of Discrimination Against Women and the Prospect of Development of Muslim Personal Law in Singapore

This paper examines Singapore's partial reservations to Articles 2 and 16 of the United Nations Convention on the Elimination of Discrimination against Women (CEDAW). It contends that the reservations justified on the basis of protecting the rights of the Muslim minority community to practice its personal law has unwittingly impeded the potential of reviewing and addressing significant gaps and limitations in the ways in which the laws are conceived and administered. More pertinently, the policy reinforces the dominance of traditionalism in the thinking of dominant stakeholders of the law. Taking the standpoint that the values of equality and non-discrimination on the basis of gender espoused by CEDAW are compatible with the objectives of Muslim law, this paper maintains that ratifying the relevant Articles of CEDAW will strengthen the process of the development of the Muslim personal law and address essentialist presumptions of the law. This perspective departs from the dominant discourse on the Muslim law and CEDAW which is framed in terms of conflict and polarity between the law and human rights, religious law and women's rights, and universal values versus cultural relativism.     

Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling

Abstract

In this article, we propose the best linear unbiased estimators (BLUEs) and best linear invariant estimators (BLIEs) for the unknown parameters of location-scale family of distributions based on double-ranked set sampling (DRSS) using perfect and imperfect rankings. These estimators are then compared with the BLUEs and BLIEs based on ranked set sampling (RSS). It is shown that under perfect ranking, the proposed estimators are uniformly better than the BLUEs and BLIEs obtained via RSS. We also propose the best linear unbiased quantile (BLUQ) and the best linear invariant quantile (BLIQ) estimators for normal distribution under DRSS. It is observed that the proposed quantile estimators are more efficient than the BLUQ and BLIQ estimators based on RSS for both perfect and imperfect orderings.     

Health is Wealth: A Dynamic SUR Approach of Examining a Link Between Climate Changes and Human Health Expenditures

Social Indicators Research - Health is considered as one of the critical inputs in the production function. This study is an endeavour to identify and quantify the impact of climate change measured...     

Policies,Interventions and Institutional Change in Pastoral Resource Management in Borana,Southern Ethiopia

The Borana rangelands of Southern Ethiopia are characterised by extensive livestock production under a communal land‐use system that has evolved in response to variable rainfall and uncertain production conditions. However, the last two decades have witnessed an increasing privatisation of rangelands for crop production and private grazing. The results of a quantitative assessment are used to develop a framework for assessing the drivers of change and their long‐term implications. It is concluded that certain national policies have resulted in conflicts of authority between traditional and formal systems, creating an avenue for spontaneous enclosures, associated conflicts and decreasing human welfare.     

A clustering approach to detect multiple outliers in linear functional relationship model for circular data

Outlier detection has been used extensively in data analysis to detect anomalous observation in data. It has important applications such as in fraud detection and robust analysis, among others. In this paper, we propose a method in detecting multiple outliers in linear functional relationship model for circular variables. Using the residual values of the Caires and Wyatt model, we applied the hierarchical clustering approach. With the use of a tree diagram, we illustrate the detection of outliers graphically. A Monte Carlo simulation study is done to verify the accuracy of the proposed method. Low probability of masking and swamping effects indicate the validity of the proposed approach. Also, the illustrations to two sets of real data are given to show its practical applicability.     

Improved quality control charts for monitoring the process mean,using double-ranked set sampling methods

Statistical control charts are widely used in the manufacturing industry. The Shewhart-type control charts are developed to improve the monitoring process mean by using the double quartile-ranked set sampling, quartile double-ranked set sampling, and double extreme-ranked set sampling methods. In terms of the average run length, the performance of the proposed control charts are compared with the existing control charts based on simple random sampling, ranked set sampling and extreme-ranked set sampling methods. An application of real data is also considered to investigate the performance of the suggested process mean control charts. The findings of the study revealed that the newly suggested control charts are superior to the existing counterparts.     

The Politics of Regional Inequality in Ghana: State Elites,Donors and PRSPs

Through an analysis of Ghana's HIPC Fund which was established as part of the PRSP process, this article shows how aid‐financed efforts to reduce regional inequality in Ghana have failed. Dominant political elites agreed to policies reducing regional inequality in order to have access to aid funding but, once approved, these funds were allocated on quite different criteria in ways that marginalised the poorest. This analysis reinforces the growing recognition that developmental outcomes in most poor countries are shaped not so much by the design of ‘good’ policies per se, but more importantly by the power relationships within which policy‐implementing institutions are embedded. Aid donors seem unable to grasp this important lesson fully, and so their capacity to contribute to reducing regional inequality remains limited.     

Examining the relationship between religiosity and happiness in Medan,Indonesia: The mediating role of self-control,self-regulation,and life satisfaction

Social harmony and community wellbeing can be addressed by promoting life satisfaction and happiness within society. As part of the attempts to understand and promote life satisfaction and happiness within society, this study examined how religiosity can contribute to these two outcome variables. More specifically, this study examined the mediating effect of self-control, self-regulation, and life satisfaction on the relationship between religiosity and happiness. Six hundred and twenty-eight middle (628) adults from Medan, Indonesia were recruited through stratified sampling. They completed five self-report scales on Subjective Happiness Scale; Satisfaction with Life Scale; Centrality of Religiosity Scale; brief Self-control Scale and Self-regulation Scale. Data were analyzed by applying Structural Equation Model (using the LISREL software 8.80), which provides simultaneous examination of variance between endogenous and exogenous variables. Results revealed that people who reported higher level of religiosity also scored high on self-control and self-regulation scales, life satisfaction, which, in turn, are related to more happiness. The finding provides evidence for more specific mechanism in which religiosity contributes to life satisfaction and happiness of the individuals and consequently society wellbeing. Theoretical and practical implications related to the findings are discussed.