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This paper aims to examine the mismatch between multidimensional deprivation and monetary poverty in identifying the poor in Egypt and investigates their determinants empirically.

The paper uses the Alkire-Foster multidimensional poverty measurement method using data from Egypt’s 2017/2018 Household Income, Expenditure and Consumption Survey (HIECS 2017/2018). Using a logistic regression model, the paper assesses the empirical relationship between multidimensional and monetary poverty and their determinants at the aggregate level and by dimension.

The paper demonstrates a significant mismatch between multidimensional and monetary poverty measures, underscoring their complementary nature. Statistics indicate that both measures overlap in classifying 35.81% of Egyptians, whereas monetary poverty ignores 63.12% of multidimensionally poor in at least one dimension. Regression estimates show a significant moderate negative association between expenditure per capita and multidimensional poverty and its dimensions. Moreover, they show that household head’s gender, age, education attainment, marital status, job proficiency, household size and location affect poverty mismatch and match in Egypt.

This paper offers Egyptian policymakers the multidimensional poverty index that enables more efficient designing and targeting of poverty alleviation programs and assessing current poverty alleviation programs to modify them if needed.

To the best of the authors’ knowledge, this study is the first to examine the mismatch between both poverty measures in Egypt, using the recent full data set of HIECS 2017/2018. This paper confirms that depending only on monetary measures can send inaccurate insights for crafting effective social policies. Also, it offers policymakers a comprehensive insight into the country’s poverty landscape, which enable more efficient design, targeting of poverty alleviation programs and monitoring their effectiveness.

This paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.

Data were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.

The result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.

The study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

Most poverty research has explored monetary poverty. This chapter presents and analyzes the global multidimensional poverty index (MPI) estimations for China. Using China Family Panel Studies (CFPS), we find China’s global MPI was 0.035 in 2010 and decreased significantly to 0.017 in 2014. The dimensional composition of MPI suggests that nutrition, education, safe drinking water, and cooking fuel contribute most to overall non-monetary poverty in China. Such analysis is also applied to subgroups, including geographic areas (rural/urban, east/central/west, provinces), as well as social characteristics such as gender of the household heads, age, education level, marital status, household size, migration status, ethnicity, and religion. We find the level and composition of poverty differs significantly across certain subgroups. We also find high levels of mismatch between monetary and multidimensional poverty at the household level, which highlights the importance of using both complementary measures to track progress in eradicating poverty.

The purpose of this paper is to examine the factors influencing the use of family planning and its link with multidimensional poverty in rural Nigeria.

The Alkire and Foster measure of poverty as well as the Logistic and Probit models were used to identify the factors influencing the use of family planning and its effect on the multidimensional poverty status of rural households in Nigeria.

The results indicate that 31.1 percent of rural households were poor with deprivations in health and education contributing the most to multidimensional poverty. The low use of contraception was closely linked to low level of literacy, lack of awareness of the different methods and high levels of poverty. The use of contraception reduced the level of poverty in the household.

The intensity of poverty should be considered in the design of policies and programs. The wide and proper use of family planning is a sine qua non for any significant reduction in poverty. Potent and assertive family planning programs by government could be achieved through public-private sector partnership and assistance of international development partners.

This paper attempts to bridge the knowledge gap in the empirical literature on the link between multidimensional poverty and family planning. In particular`, its application to the rural context, often characterized by high rate of poverty and unmet needs for family planning employing nationally representative data is of immense value for social policy.

There has been a rapid expansion in the literature on the measurement of multidimensional poverty in recent years. This paper focuses on the longitudinal aspects of multidimensional poverty and its link to dynamic income poverty measurement. Using panel household survey data in Vietnam from 2007, 2008, and 2010, the paper analyses the prevalence and dynamics of both multidimensional and monetary poverty from the same dataset. The results show that the monetary poor (or non-poor) are not always multidimensionally poor (or non-poor) – indeed the overlap between the two measures is much less than 50 percent. Additionally, monetary poverty shows faster progress as well as a higher level of fluctuation than multidimensional poverty. We suggest that rapid economic growth as experienced by Vietnam has had a larger and more immediate impact on monetary than on multidimensional poverty.

This study aims to develop and apply a multidimensional measure of financial inclusion (FI) to address measurement issues and determine the level of FI of rural smallholder farmers and the contribution of domain indicators to the level of FI in Nigeria.

The paper adapts the Alkire–Foster method to develop a multidimensional FI index (MFII). A stratified two-stage sampling procedure is used to select 2,300 rural respondents from the 2016 Consultative Group to Assist the Poor (CGAP) Smallholder Household Survey.

Results indicate that 78% of rural smallholder farmers in Nigeria are financially excluded. In addition, owning a formal account is significantly different (p < 0.00) from being financially adequate. The financial capability domain contributes the least (29.66%) to the multidimensional FI (MFI) of rural smallholder farmers relative to financial participation and financial well-being. Financial literacy, consumer protection, overcoming barriers such as high transaction costs and financial planning indicators contribute the least to FI relative to formal access.

Results of the study lead to policy recommendations for increasing the FI of rural smallholder farmers in Nigeria, which may be applicable to other countries.

Achieving sustainable FI requires that interventions increase the FI of rural smallholder farmers by strengthening financial capability, participation and well-being and not only focus on formal account owners.

The study provides a new methodological and empirical contribution to the FI literature on rural smallholder farmers.

This article aims to analyse the spatial and temporal evolution of multidimensional poverty in Brazil's North Region and its relationship with territorial, economic and population dynamics.

A multidimensional poverty index (MPI) was calculated using the Alkire-Foster method and a spatial econometric model was estimated. The data come from population censuses conducted by the Brazilian Institute of Geography and Statistics (IBGE) for the years 1991, 2000 and 2010.

The results show a decrease in multidimensional poverty over the period analysed. However, they show this reduction occurred in a heterogeneous way in time and space, with emphasis on microregions in which, despite a reduction in the rate, the percentage of the population considered multidimensionally poor remained high during the 30 years of the study.

The quality of available data.

It is possible to point out that public policies focused on improving infrastructure in medium-sized locations tend to have two positive effects: first, making production and consumption more accessible and sustainable for local communities, given that currently the cost of transport and logistics are factors that hinder socioeconomic development; second, to reduce the pressure of demand that this population of small and medium-sized locations exerts on public services currently offered only in larger locations. Although the logic of concentrating most public services in the largest cities makes sense in terms of economic efficiency, the particularities of the northern region and the recognition of its environmental importance point to the need for incentives for more spatially distributed economic activity.

From the paper results, it is possible to think about more local public policies which are able to improve people's lifes without to damage the environment.

This is the first study on multidimensional poverty that covers the entire North region of Brazil (Amazon region) and that contemplates both the temporal and spatial dynamics of poverty.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2021-0699.

The distinction between discussing human capital (HC) and its actual measurement is the presence of indices and equations to substantiate the belief of measuring intangibles. The chapter makes a concise mention of research precedents, deriving leads for the foundation of HC. The chapter aims to provide clarity on the concept of HC measurement and bring to light the tools that can confer tangibility to intangibles. It argues that the measurement of HC is an achievable idea; furthering that a systematic review into the inter-disciplinary studies can offer viable solutions to the challenge of measuring intangibles. The chapter while discussing the contention makes a vivid mention of Bhutan’s gross national happiness (GNH), Happiness Seismograph, Cobb–Douglas model and others to make an impression on the minds of the reader.

Poverty is one of the most significant economic and social problems that European countries have to face. In recent years, it has become widely accepted that poverty is a multidimensional concept and now many studies use indicators of deprivation to examine the phenomenon. The focus on financial resources alone does not capture people’s quality of life as being poor means a lack of access to resources enabling a minimum standard of living and participation in the society within which one belongs. The paper aims to discuss this issue.

Using a longitudinal component (2006-2010) of EU Statistics on Income and Living Conditions data on 26 European countries, the author apply a second-order confirmatory factor analysis to estimate deprivation. To describe the patterns of change over time and to evaluate the role of household characteristics in deprivation level, the author employ a set of multilevel growth curve models.

Three findings clearly stand out from my analysis. First, there is great variability in deprivation between European countries. Second, European countries show various patterns of change in deprivation over time. Third, households with different characteristics have quite different deprivation levels; moreover, the impact of household characteristics on deprivation can vary over time and between countries.

This paper sheds light on the importance of analysing deprivation from a longitudinal perspective and that financial resources alone does not capture people’s quality of life.

This paper aims to investigate the effectiveness of Qard-al-Hasan (QH) or interest-free loan in reducing multidimensional poverty through examining Fael Khair Waqf (FKW) program as a case.

A Multidimensional Poverty Index (MPI) approach has been used in this study, which was conducted over 1,600 households including 1,200 program households in 40 villages and 400 control households in 20 villages of 8 districts in the south-western region of Bangladesh.

It is found that 38.5% of sample population was multidimensional poor with deprivation of above the cutoff score. However, FKW participants were relatively less multidimensional poor. It was 35.3%. Hence, it is argued that the FKW is an effective program in terms of poverty reduction as it has contributed to higher economic outcomes for their participating households. The econometric result also suggests that the likelihood of the participants of FKW to be MPI poor is around 1.5 times lower than the nonparticipants, and the result is significant at 1% level. This indicates that program has a positive impact in reducing multidimensional poverty.

The analysis in this paper would fill the literature gap by investigating the link between application of QH and poverty alleviation. It will also guide academicians, researchers and decision-makers to design evidence-based policy to alleviate poverty.

To the best of the authors’ knowledge, there has been no empirical work in Bangladesh on the effectiveness of QH in poverty reduction considering an MPI approach. Hence, this study is a unique contribution to the literature of Islamic social finance.