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In 2020, household incomes were severely hit by the lockdowns imposed across the world in response to the COVID-19 pandemic. Using data from the last available wave of the euro-area harmonized Household Finance and Consumption Survey for 2016, this chapter documents European households’ financial resilience to this shock, based on pre-shock balance sheets, potential exposure to COVID-19, and in the absence of government interventions. The results highlight that there are large and similar shares of the population across European countries that are likely to suffer from the economic fallout of containment measures – albeit through different channels.

There is a paradox in the normative foundations for chronic and intertemporal poverty measurement. Measures that reflect particular aversion to chronicity of poverty cannot also reflect particular aversion to fluctuations in the level of poverty when poverty is intense, yet good arguments are made in favour of each of these properties. I argue that the paradox may be explained if the poverty analyst implicitly predicts that an individual observed to experience persistent poverty will continue to experience poverty when unobserved. The paradox may then be resolved by separating the normative exercise of evaluation, applying a measure that reflects particular aversion to fluctuations, from a positive exercise of modelling and prediction. This proposal is illustrated by application to panel data from rural Ethiopia, covering the period 1994–2004. Several dynamic models are estimated, and a simple model with household-specific trends is found to give the best predictions of future wellbeing levels. Appropriately normalised measures of intertemporal poverty are applied to the predicted and observed trajectories of wellbeing, and results are found to differ substantially from naïve application of the measures to observed periods only. While similar results are obtained by naïve application of the measures that embody particular aversion to chronicity, separation of the normative and positive exercises maintains conceptual clarity.

Using data on food insecurity in Israel, this chapter suggests borrowing techniques from the literature on multidimensional poverty to measure food insecurity, a distinction being made between “nominal” and “real” food insecurity. Various counting techniques are then implemented, including the well-known approach of Alkire and Foster. The chapter ends with a section where, following recent work by Dhongde, Li, Pattanaik, and Xu (2016), a distinction is also made between “basic” and “non-basic” dimensions of food insecurity.

This chapter examines the impoverishment process in three South Caucasian states: Armenia, Azerbaijan and Georgia. It uses the concept of ‘order of curtailment’ of consumption expenditures to detect the order of curtailment of expenditures in the Caucasus region. It then suggests computing poverty rates on the basis of a threshold corresponding to the curtailment of a certain number of consumption expenditures categories and compares the poverty rates obtained with those derived from more traditional approaches to the unidimensional measurement of poverty. The empirical illustrations are based on the Caucasus Barometer surveys of 2009 and 2013.

This study aims to contribute to the extant literature by assessing how microfinance institutions (MFIs) affect female entrepreneurship, contingent on female unemployment levels.

The study focuses on 44 countries in sub-Saharan Africa for the period 2004–2018. The empirical evidence is based on interactive quantile regressions, which put emphasis on nations with high, low and intermediate levels of business constraints. The analysis is tailored to provide avoidable female unemployment levels in the implementation of policies designed for MFIs to promote female business ownership.

The hypotheses that MFIs are favorable for female business owners and some critical rates of female unemployment should be avoided in order for the favorable incidence to be maintained is exclusively valid in the 10th quantiles of the cost of business by females and time to start-up a business by females. Policy implications are discussed.

This study has complemented the extant literature by providing actionable female unemployment critical masses that governments can act upon in tailoring the relevance of MFIs in the doing of business by females.

This study aims to assess the role of financial inclusion (FI) in moderating the incidence of entrepreneurship on energy poverty in Ghana.

The assessment is made by using pooled data and two-stage least squares. The exposition builds from the 7th (GLSS7) and 6th (GLSS6) rounds focusing on the Ghana Living Standards Survey (GSS, 2014, 2019) that is collected by the Ghana Statistical Service (GSS) from 10 principal regions in the country.

The findings show that entrepreneurship has an unconditional positive incidence on energy poverty while the interactive incidence between entrepreneurship and FI on energy poverty is negative. The corresponding FI policy thresholds that should be exceeded in order for FI to effectively moderate entrepreneurship for negative outcomes in energy poverty are between 0.154 and 0.280 index for the full sample; 0.187 index for the rural subsample; 0.200 and 0.333 index for the male sample. Thresholds are not computed for the rural and female subsamples because at least one estimated coefficient that is needed for the computation of such thresholds is not significant. Policy implications are discussed.

This study has complemented the existing literature by assessing how FI can be used to influence the nexus between entrepreneurship and poverty in Ghana.

The present study investigates the nexus between health performance dynamics and economic growth in 43 countries in sub-Saharan Africa for the period 2004–2018.

Four health performance dynamics are used, notably: total life expectancy, male life expectancy, female life expectancy and risk of maternal death. The empirical evidence is based on quantile regressions (QRs) in order to put into perspective the conditional distribution of economic growth.

The following findings are established: (1) total life expectancy and male life expectancy increase economic growth exclusively in the 10th and 90th quantiles of economic growth; (2) female life expectancy boosts economic growth in the 90th quantile of economic growth and (3) the risk of maternal death reduces economic growth in the 75th and 90th quantiles of economic growth. Policy implications are discussed.

The study complements the literature on the nexus between health performance and economic growth by assessing the nexuses throughout the conditional distribution of economic growth.

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.

This paper aims to investigate the relationship between microfinance institutions (MFIs) governance and performance.

Using a sample of 215 MFIs from six South Asian countries over the period from 2005 to 2009, the authors examine the effect of chief executive officer (CEO) duality, board size, female CEO, urban market coverage, bank regulation and lending type on financial and social performance of MFIs.

The findings provide evidence that, on the one hand, empowered CEO, large board size and individual lending improve the MFI financial performance and, on another hand, bank regulation and serving in the urban market have a significant association with MFIs’ social performance. In an additional analysis, the authors also test this relationship before, during and after the financial crisis of 2007. During crisis period, MFIs’ individual lending reduces the operational cost and bank regulation increases the average loan size in South Asian MFIs.

Those studies that are presented in the literature review conclude their result on the bases of global, European, East African and specific to some countries sample. There is no study presented in the whole literature on South Asian sample, in which all countries really face the problem of poverty.

Information encountering is the serendipitous acquisition of information that requires low or no involvement and expectation of users. The purpose of this paper is to model the explicit process and the implicit factors of online information encountering, i.e. how and why it occurs.

The critical incident technique was adopted to collect qualitative data from 16 interview participants. They contributed 27 true incidents of online information encountering which were used to identify the key phases of the encountering process. They also commented on the factors that they thought had an influence on the chance of the occurrence of encountering.

The macro-process of information encountering is composed of three phases. First, browsing, searching, or social interaction provides the context for encountering; second, the encountering occurrence consists of three steps – noticing the stimuli, examining the content, and acquiring interesting or useful content; and third, the information encountered will be explored further, saved, used, or shared. The 14 influencing factors of information encountering obtained divide into three clusters. User-related factors include sensitivity, emotions, expertise, attitudes, intentionality, curiosity, activity diversity; information-related factors include type, relevance, quality, visibility, and sources; and environment-related factors include time limits and interface usability.

This study engenders useful implications for designing information encountering experience. The changeable nature of some influencing factors suggests that encountering can be elicited through the purposive design of encountering support features or even encountering systems, and the macro-process depicts the natural occurring mechanisms of encountering for the design to follow.