Purpose This study aims to develop a valid and reliable Islamic financial literacy (IFL) scale that can capture all the segments of the Islamic financial sectors and which could be considered applicable for all jurisdictions across the globe. Design/methodology/approach To build the measure, this study followed a scale development process by collecting 698 a priori items from 81 respondents. Later, it generated an item pool through the analysis of the items with experts and gave the last form (40 items) to 287 respondents in Turkey with another IFL scale that is frequently used in the literature and a scale assessing religiosity. With explanatory factor analysis, the scale demonstrates a four-factor construct with 20 items. This construct provides good fit indexes and reliability scores. Findings Results of the correlation analysis and comparison of the fit indexes of alternative structures provided supportive evidence for discriminant and convergent validity of the scale and its sub-dimensions. As a result, an applicable scale is developed for countries where Islamic financial institutions are operating and where they are not. Originality/value One of the strengths of this study is that it represents a comprehensive scale development for the entire Islamic financial system, including banking, takaful (Islamic insurance) and fund management. In addition, the attempt to design an IFL scale applicable to any economy or individual is a pioneering attempt in the literature.

Purpose The problem of poverty in the Muslim world has been posing multi-faceted challenges to the life of individuals and the relations of people. Although this problem has been gaining scholarly attention and raised in relation to various issues ranging from social injustice, rampant corruption, societal instability, wide social polarization and insurgent movements that affect the regional peace and stability at large, neither effective economic mechanism proposed nor implemented to address the problem effectively. In this regard, it is also important to appreciate the recent initiations in the field of Islamic economics to present an optional view to the existing and alien economic models in the Muslim world. Therefore, the purpose of this study is to fill up this research gap by proposing a model of mobilizing funds through the global cash-waqf institution. Design/methodology/approach The study adopts content analysis to construct this global cash waqf model for poverty alleviation in Muslim countries. Findings The “global cash-waqf model” was proposed as an alternative that could be implemented and used to overcome the poverty matter in Muslim countries. It is assumed that the model will facilitate the fund mobilization among Muslim countries, which in return is going to assure full distribution and redistribution of wealth to eradicate the poverty in the Muslim world. The model was structured with a global vision in both the collection side and the distribution side. Originality/value The model will facilitate the fund’s mobilization among Muslim countries, which in return achieves an Islamic goal of distribution and redistribution of wealth to assure the well-being of all humanities in the society.

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Only unstructured single-path model selection techniques, i.e., Information Criteria, are used by Bounds test of cointegration for model selection. The aim of this paper was twofold; one was to evaluate the performance of these five routinely used information criteria {Akaike Information Criterion (AIC), Akaike Information Criterion Corrected (AICC), Schwarz/Bayesian Information Criterion (SIC/BIC), Schwarz/Bayesian Information Criterion Corrected (SICC/BICC), and Hannan and Quinn Information Criterion (HQC)} and three structured approaches (Forward Selection, Backward Elimination, and Stepwise) by assessing their size and power properties at different sample sizes based on Monte Carlo simulations, and second was the assessment of the same based on real economic data. The second aim was achieved by the evaluation of the long-run relationship between three pairs of macroeconomic variables, i.e., Energy Consumption and GDP, Oil Price and GDP, and Broad Money and GDP for BRICS (Brazil, Russia, India, China and South Africa) countries using Bounds cointegration test. It was found that information criteria and structured procedures have the same powers for a sample size of 50 or greater. However, BICC and Stepwise are better at small sample sizes. In the light of simulation and real data results, a modified Bounds test with Stepwise model selection procedure may be used as it is strongly theoretically supported and avoids noise in the model selection process.

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