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The purpose of this paper is to analyze the effect of the different components of off-farm income on multi-dimensional poverty. Furthermore, the study aims to measure multi-dimensional poverty and also identify the determinants of multi-dimensional poverty in Nigeria. The paper reveals the different contributions of the dimensions of education, health and living standard.

The study focuses on rural farm households in Nigeria. Data are obtained from the Nigeria General Household Survey, 2013. The survey covers both urban and rural areas of the 36 states of Nigeria. Owing to the interest of this study in the rural farm household’s sub-sector, a nationally representative sample of 836 rural farm households are selected for the study after the data merging process. Rural farm households in this paper earn 50 percent of their total income from crop and livestock production. The paper employs the Multi-dimensional Poverty Index (MPI) to measure multi-dimensional poverty across the six different geographical zones of Nigeria. The probit regression model is used to estimate and analyze the effect of off-farm income components on multi-dimensional poverty and also to identify the determinants of multi-dimensional poverty.

The results of the study show that among the off-farm income components, the non-farm wage income and non-farm self-employment income have negative association with multi-dimensional poverty. Findings show that multi-dimensional poverty is high in Nigeria with deprivations in health contributing the most. Northern Regions have a higher estimate. Results reveal that sex, age, number of adults, formal credit access, access to extension services and location characteristics are key determinants of multi-dimensional poverty. The MPI for Nigeria averaged 47 percent. Across regions, deprivation in the health dimension contributes about 44 percent to multi-dimensional poverty. Deprivation in living standards contributes 40.5 percent, while deprivation in education contributes 15.5 percent to multi-dimensional poverty.

Due to the nature of the data used, the health indicators (nutrition and child mortality) are absent but proxies are used instead. Future research could introduce gender dimensions.

Improving the involvement of rural farm households in non-farm self-employment sector could improve their livelihoods and prevent migration to urban centers, especially among the youths.

Improving the quality of health, education and living standards will lead to lower poverty levels in Nigeria. Farmers can best reduce their multi-dimensional poverty by engaging in more off-farm jobs.

This paper provides information to policy makers on the effect of different components of income from the off-farm sector on multi-dimensional poverty alongside with the determinants of multi-dimensional poverty at a national level for the rural farm households. By using MPI, the contribution of the different dimensions used in computing the MPI across the six geographical regions within the country is revealed. This provides policy makers with more information for development purposes.

This paper aims to measure multi-dimensional poverty in Lagos State slums. This study is relevant because slums are becoming a present-day reality for urban cities and it is now paramount to understand the dynamics of deprivations suffered under various dimensions in the slums.

A multi-stage sampling technique is used to sample 400 respondents from five slums (Makoko, Iwaya, Ilaje, IjoraBadia and Amukoko) in Lagos State and information have gotten using a structured questionnaire. The fuzzy set approach to measuring multi-dimensional poverty index (MPI) is used in estimating the MPI for the slums.

The findings from the study show that although all the slums have varying MPI; however, the average MPI for the slums is 0.49. Further findings show that majority of the households are largely deprived in the education dimension, proceeded by the living standards dimension and finally, health dimension.

The current study focused on a few selected slums in Lagos State and findings show that it may be erroneous to absolutely adopt policy implications derived for other major slums in cities around the world.

This study advances the frontier of slum studies in Nigeria by following an analytical path in understanding the degree of poverty in the slums.

The purpose of this paper is to identify the hardcore poor, moderately poor and just poor among zakat recipients in southwest Nigeria. It seeks to explain the criteria and basis used in determining the most deprived among zakat recipients considering the multi-dimensional nature of poverty and modern-day situations.

Out of 200 questionnaires that were randomly distributed among the recipients of zakat from Al-Hayat Relief Foundation and Zakat and Sadaqat Foundation in southwest Nigeria, only 150 were completed. Headcount poverty index, poverty gap index, multi-dimensional index on standard of living, income ranges and monthly per-capita household expenditures using the national workers’ minimum wage as poverty threshold were adopted for analyzing the data collected.

On the basis of the income range of the recipients, 128 out of 150 recipients were found to be poor, whereas on using the MMPCHE 93 out of 150 recipients were found to be poor. Both results were further classified into hardcore poor, moderately poor and just poor recipients. The multi-dimensional index on standard of living was also used to capture poverty in terms of deprivation in standard of living, such as non-availability of electricity, drinking water, cooking fuel, sanitation, flooring and assets.

A limited number of recipients were evaluated in this study, and hence it would be difficult to generalize. Also, some recipients had difficulty in answering the survey questionnaire used in this study, which reduced the amount of information derived. Thus, an in-depth interview method coupled with a survey can be used in future studies.

The implication of this result is either that the threshold and measures adopted are not capturing the poor and the needy or that the zakat institutions are not reaching out enough to the poor and the needy eligible to receive zakat. This paper suggests the introduction of a more uniform and comprehensive zakat-based poverty threshold for the poor and the needy that will continuously be examined by Shariah scholars and researchers to best engage with the modern-day situation.

This paper examines the measures of poverty and concludes on the introduction of a well-comprehensive threshold that is Shariah compliant and based on the plight of the modern-day poor and needy, which can go a long way in achieving the objectives of zakat.

This study recommends a more comprehensive zakat-based poverty threshold that will capture the multi-dimensional nature of poverty in the present day for better outreach to the most deprived needy and poor.

The purpose of the present study is to examine the inter-relationship between the multi-dimensional poverty and water poverty using household level data for Indian states.

A modified water poverty index (MWPI) for both rural and urban households was created using the five components approach and various quantifiable proxies. Principal component analysis (PCA) has been used for the construction of MWPI. Multidimensionality of poverty (MPI) is measured using the Alkire and Foster methodology. Further, the study has utilized correlation and Tobit regression analysis to show the relationship between MWPI and MPI.

The empirical findings suggest that there is a positive and significant relationship between multidimensional poverty and water poverty, with the extent of relationship being greater in rural areas. The results show that in rural areas all the components of water poverty has significant impact on multidimensional poverty, whereas in urban areas except use component all others have significant impact on multidimensional poverty. Further, components of multidimensional poverty were also found to be significantly impacting water poverty.

The study suggests that policymakers cannot treat both forms of poverty in isolation. If India aims to reduce poverty, then it needs to pay significant attention to improving water conditions.

This is a pioneering attempt to construct water poverty index at the household level while accounting for micro-level differences for Indian economy. It highlights that water poverty leads to multi-dimensional poverty and vice-versa.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2021-0731.

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.

As an alternative poverty analysis approach, the purpose of this paper is to map the patterns of multiple deprivation in all 13 administrative regions of Namibia using the National Household Income and Expenditure Survey data.

Unsupervised statistical learning methods including the principal component analysis, k-means clustering and bivariate analysis were applied.

The results show that the multiple deprivation approach is a useful alternative in characterising poverty dynamics in the country. Specifically, the mapping shows that other dimensions of poverty such as access to utilities and services among other things are equally useful welfare indicators as they scored higher than income and consumption on discriminant ability.

Unpacking the multi-dimensionality aspect of poverty has drawn significant attention from development economists and continues to play a major role in policy formulation for developing countries. The study recommends buttressing of conventional income poverty measures with multiple deprivation approaches for a comprehensive picture on poverty issues.

The paper contributes to the literature on investment and poverty in sub-Saharan Africa (SSA). Specifically, the study examined the separate role of private and public investment in poverty reduction in a panel of 40 sub-Saharan African countries.

For robustness, the study adopts a variety of estimation techniques. These include the fixed effect (within) regression model, the two-step system generalised method of moments (GMM) and the pooled OLS with Driscoll-Kraay robust standard errors to account for the well-known problems of endogeneity, heterogeneity and cross-sectional dependence inherent in panel data.

The empirical results show that the reducing impact of public investment on poverty is marginal, while private investment has a significant reducing impact on poverty. The study also found that access to social services, such as water and sanitation, and credit are important determinants of investment in SSA. The research and policy implications are discussed.

The study investigated the separate effect of private and public investments on poverty in SSA, unlike the existing studies that adopted total investment.

The purpose of this study is to evaluate the efficiency of the relative performances of Mother’s canteen across the regions of Tamil Nadu and find out the determinants of inefficiencies in the scheme.

An untargeted food security scheme called Amma (Mother's) canteen was started in Tamil Nadu, India, with an aim to provide the urban poor with hygienic and healthy food at an affordable price. Along with secondary data, interviews were conducted to understand the operational details of Mother's canteen. Data envelopment analysis (DEA) was used to find the relative efficiency of the scheme operated by nine corporations.

Based on the daily expenditure, number of meals served and revenue, seven of nine corporations were found to be inefficient. Further, sensitivity analyses found that among six procurement variables, procurement (quantity and price) of black gram and cooking oil were determinants of inefficiency.

As an untargeted scheme, the cost of delivering service-based evaluation was used for performance evaluation. Policymakers could use centralized procurement instead of open market procurement at the corporation level and standardized ingredients' usage (quantity) to further reduce the cost of the food security scheme.

The proposed DEA model may be used by policymakers to empirically evaluate the food security scheme's delivery effectiveness across various corporations in a region. Inefficient branches are identified here with empirical support for further performance improvement changes.

There are limited number of studies evaluating untargeted schemes. This paper presents the challenges of evaluating an untargeted scheme which allows self-selection of beneficiaries. The outcome of this study will help in identifying inefficient corporations, and further, improve the performance and cost of delivering untargeted food security scheme.

This study reports the results of the empirical investigation of the Shari'ah legal framework which serves as a basis of the crowd humanitarian fund and poverty reduction among members of Organization of Islamic Cooperation (OIC) for improving living conditions of less privileged people in the society.

Quantitative design was employed in this study and the population comprised middle and high-skilled workers among members of the OIC.

The results demonstrated that the majority of middle- and high-skilled workers were from the middle east and others were from Saudi Arabia, Asia and Africa respectively.

Most studies on crowd humanitarian funds were theoretical in nature, this study has empirically investigated.

By making crowd humanitarian funds to be grounded within the framework of Shari'ah, it will enable majority of people in predominant Muslim countries to partake in mutual or crowd funding in order to help the less-privileged individuals among OIC members in the society.

It is an important contribution for financial inclusion and economic growth for improving social and living conditions of the less privileged people in the society.

Most studies on crowd humanitarian funds were theoretical in nature; this study has empirically provided a substantial direction for activating the mindset of the empirical investigation of different financial concepts.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0773.

This study aims to investigate the consumption pattern of aerated drinks and examine its determinants among adolescents’ boys and girls (15–19 years) in India.

The fifth round of National Family Health Survey (2019-2021) data was examined applying sample weights. Pattern of consumption and its determinants was analysed separately for boys and girls using binary logistic regression and calculating adjusted odds ratio (AOR) at 95% confidence interval.

The daily, weekly and occasionally consumption of aerated drinks was 4.4%, 22.7%, 63% for boys and 2.9%, 14%, 70.8% for girls, respectively. Factors such as secondary/higher education [Boys AOR = 1.5, (1.2–1.9) (p = 0.001); Girls AOR = 1.2, (1.1–1.2) (p < 0.001)]; rich wealth index [Boys AOR = 1.8, (1.6–2.1) (p < 0.001); Girls AOR = 1.3, (1.3–1.4) (p < 0.001)]; fried food consumption [Boys AOR = 11.1, (9.5–12.9) (p < 0.001); Girls AOR = 11.5, (10.8–12.3) (p < 0.001)]; and watching television [Boys AOR = 1.5, (2.3–1.7) (p < 0.001); Girls AOR = 1.3, (1.3–1.4) (p < 0.001)] were found significant predictors of aerated drink consumption among adolescents.

The authors noted differences in consumption pattern between adolescents’ boys and girls. A shift to occasional consumption from weekly and daily was also observed. A further decrease in consumption may requires gender and region-specific health-promotion interventions. Rationalising sugar-sweetened beverages taxation adhering World Health Organisation’s recommendation to reduce affordability may be further researched in the Indian context. Furthermore, sale and consumption of traditional and locally available fruits, vegetables and healthy beverages may be warranted.