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This paper aims to develop an integrated waqf-based Islamic microfinance (IsMF) for poverty reduction in Bangladesh. Microfinance institutions (MFIs) have been constrained by the high cost of funds, high interest rate charges and poor human resource quality of the recipients. Islamic MFIs have recently evolved with the hope of overcoming these financial, ethical and human capital deficiencies faced by the conventional financial institutions. Moreover, a good number of integrated models have been proposed to enhance the role played by Islamic MFIs. Most of these models, however, lack empirical justifications.

The research uses survey techniques. A total of 381 respondents were included in the survey. The integrated waqf-based Islamic microfinance model (IWIMM) was earlier on developed using literature and intellectual discussions. There are six constructs presenting the IWIMM, namely, waqf resources, IsMF, takaful, project financing, human resource development and poverty alleviation. In the survey instrument, 45 items represent the six constructs, but only 26 items have been retained after factor analysis. Structural equation modelling has been adopted to examine the relationship among the constructs.

The results show that there are significant relationships between IsMF and takaful, waqf resources and human resource development, takaful and human resource development, IsMF and human resource development and, waqf resources and project financing. The results also indicate that poverty alleviation is possible through the integration of these constructs.

Though the paper has studied conventional and Islamic MFIs in Bangladesh, one of the populated Organisation of Islamic Cooperation (OIC) member countries and also where poverty incidence is high, further studies need to be conducted in other OIC member countries to adopt the model in line with practical and regulatory environment of those countries. Similarly, the study is based on the perception of the respondents, which limits the generalization of the result.

The paper proposed a model that has the potential of being applied for poverty alleviation programmes in most of the OIC member states.

The present paper has developed an IWIMM for poverty reduction.

The purpose of this paper is to examine the poverty rates of Indonesia, Malaysia and Pakistan, representing majority Muslim populations, and of India as a minority Muslim population, according to Ibn Khaldun's dynamic model on poverty.

According to Ibn Khaldun, poverty is not merely influenced by economic dimension. He initiated fundamental factors as mentioned in his formula P=f(W,G,N,S,g,J ) where P is a function of Wealth of the Nation (W ), Government (G ), Human Resource (N ), Sharia (S ), Growth ( g) and Justice ( J ). This study generates secondary data covering from 2000‐2010 or after financial crisis of 1997. These data employed using Panel method.

The study's findings reveal that the variable of Dynamic model of Ibn Khaldun influenced significantly the level of poverty in Indonesia as a Muslim majority population, whereas in Pakistan only the HDI variable has significant influence. Meanwhile (like Malaysia) in India, the variable of Dynamic model of Ibn Khaldun does not influence significantly.

Each country has certain characteristics and background with respect to economic growth, government policy and population that might influence poverty. As a result, the application of Ibn Khaldun model varies accordingly.

The findings reveal that quite a few challenges lie ahead in applying Ibn Khaldun model in these countries. This needs to be taken on promptly by each country, especially Muslim countries.

This paper is one of few studies which employ Ibn Khaldun theory on poverty, using panel data to investigate the appropriateness of the model.

Attempts to present a commentary on a few recent attempts at constructing a composite index of human development, and in the process briefly traces the trends in thinking that show marked shifts from economic growth to social development and to further human development. Shows that national income still remains an important indicator of overall development, and further, that various methodologies of compositing several indicators of development into one index produced broadly similar rank ordering of the nations.

The purpose of this paper is to examine the impact of migration on economic growth and human development in selected Sub-Saharan African (SSA) countries.

The estimations were carried out in a panel of 19 selected SSA countries over the period 1990-2013, using the two-stage least squares estimation techniques. Two measures of migration, namely stock of international migrants and the ratio of personal remittances received to personal remittances paid were used in the study to carry out this investigation.

The results conform to the findings of existing literature, namely that social expenditure, domestic investment, financial inclusion, income inequality, income and human poverty are significant determinants of either human development or per capita GDP in Sub-Saharan Africa. The distinctive feature of the study is the significant but negative role played by migration in explaining human development and economic growth in the region. The results from the panel estimations reveal that an increase in the measures of migration deteriorates the level of human development and growth of the region.

The major limitation of this study is the unavailability of quality data on migration flows. Therefore, it would be imperative to reinvestigate the specifications adopted in this study in follow-up studies.

The study includes implications for policy makers, especially in SSA countries, that the pattern and flow of migration does not circulate within the region and has tended to drain out human capital to other regions of the world. In the same event, the stock of migrants residing in the region may be low-skilled migrants that do not contribute directly to the level of human development.

To assess the impact of migration on economic growth and development such as the SSA region, it is imperative to follow the growth-based, capacity-based and asset-based approaches to development. This study has made this distinction.

This study investigates female labor force participation (FLFP) in Nigeria, over the period 1990–2020. It analyzes the effect of some poverty indices on FLFP, thereby contributing to the ongoing debate on female labor participation, particularly as it relates to household poverty and its alleviation. The study sources data from World Bank Data Bank and employs autoregressive distributive lags after confirming the stationarity of all variables of interest. While there is no long-run relationship among the variables of interest, the results from the short-run estimate show that one year lagged FLFP, fertility (family size), total unemployment and gender ratio in labor participation are poverty indices that positively influence female labor participation. On the other, female unemployment, male unemployment and GDP growth rate are negative determinants. However, female education and household income per capita as poverty indices are insignificant determinants of female labor participation for the period under study. These findings are important for government/policy-makers in Nigeria to develop a policy framework that can improve poverty in the country as well encourage FLFP in the country since their contributions have meaningful impact in alleviating household poverty and on the entire economy.

The analysis of poverty is fundamentally focused on examining the well-being condition of the poor. We usually neglect the information provided by the rich. Nevertheless, perhaps the non-considered information indicating the determinants of non-poverty is also useful for fighting against poverty. The purpose of this paper is to analyze poverty under a new angle i.e. focusing on the information provided by the non-poor instead of the poor. For that a richness index is calculated in order to estimate econometric models regressing both indices i.e. poverty and richness indices on same selected characteristics. Thus, the comparison of the determinants of poverty and non-poverty for Tunisian case have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect). This procedure is thus important given that it provides additional information and new way to enhance the targeting efficiency of the poor and fighting against poverty.

Using Tunisian data, an original procedure is proposed for calculating a richness index, defined based on the common formula of calculating the poverty index. Next econometric models are estimated regressing both the indices i.e. poverty and richness index on same selected characteristics.

The comparison of the determinants of poverty and non-poverty have allowed the classification of the selected explanatory variables with significant effect into four categories: the variables having significant effect on both sides (permanent effect), the variables having significant effect on the poor but not on the non-poor (transitory effect), the variables having significant effect on the non-poor but not on the poor (insurance effect) and the variables without any effect on both cases (neutral effect).

The analysis and the classification of the determinants of poverty according to the determinants of non-poverty is never made before in the litterature. This procedure is important given that it provides additional information and a new way to enhance the efficiency of targeting the poor and fighting against poverty.

The purpose of this paper is to utilize a newly constructed index for social justice, with its two versions SJI-1 and SJI-2, to measure new values for the indexes in 35 countries in two periods, 2005-2010 and 2011-2015, in an attempt to assess quantitatively how less developed countries developed through time in terms of social justice.

The paper obtained data for 35 developing countries in the six subindicators used to quantify the six dimensions of the social justice index. The values of the subindicators were then normalized and aggregated to form SJI-1 and SJI-2, each of which assigns different weights for its subindicators, for the 35 countries in the two periods 2005-2010 and 2011-2015.

Results of the new values of the index in its two versions were close in showing how 31 countries (according to SJI-1) and 29 countries (according to SJI-2) managed to improve their levels of social justice, while the indexes of only three countries (according to SJI-1) and six countries (according to SJI-2) worsened. Nevertheless, the index depicted that some countries performed better than others by improving their ranks at the expense of others. Comparison of the study’s quantitative results with qualitative research seems to provide some support for SJI-2 in echoing social justice compared to SJI-1.

The study is a vital tool for policymakers for appraising the levels of social justice in their respective countries, both in absolute terms by highlighting the scores of their countries with respect to social justice, and in relative terms by clarifying where their countries stand through cross-country comparisons, in addition to identifying dimensions of social justice which are in need of intervention for further enhancement.