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The purpose of this study is to understand what health and safety hazards low-income households are subject to by surveying the real conditions of the defective housing of low-income households, and to find improvement strategies. For this purpose, we visited the concentrated areas of the multi-dwelling unit (MDU) (also known as multi-family residential) housing in Jungwon-gu and Sujeong-gu in Seongnam City, Kyunggi-do, one of the representative areas in Korea with a massive distribution of the low-income class. Based on the survey data, the level of housing defects were comparison analyzed per income decile (decile 1, decile 2, deciles 3–4), and per housing location, in the categories of subsidence, cracks in the wall, delamination, water leakage/infiltration, condensation, and contamination. The housing condition per income class was more defective in the decile 2 households rather than in the decile 2 households, and in the substructure more than in the superstructure. Among the six defects, contamination problems, caused by sub-standard living conditions, were the most frequent cases. Structural defects, subsidence and cracks in the wall, were found in the main living areas—the bedrooms and the living rooms. It was confirmed in this study that the conditions of low-income housing are serious, and that it is necessary to explore specific countermeasures in the near future.

The purpose of this paper is to investigate the determinants of the probability of low income for households with disabled members in Italy, over the period 2004‐2007, with special focus on the role of persistence.

Households with disabled members are compared with those without disabled members, and those with disabled members temporary limited. Alternative definitions of disability are considered. The probability of low income is estimated adopting dynamic probit models accounting for unobserved heterogeneity, state dependence and endogenous initial conditions.

Evidence is found of significant true state dependence for households with disabled members. However, true state dependence does not significantly differ from that of other households. The probability of low income for households with disabled members is also determined by some structural variables, such as employment of disabled individuals, living in the South, household's partner employment and household size.

In the short run, money transfer is effective to lift households with disabled members from low income and to prevent the risk of low income in the future. Structural policies are possibly relevant in reducing the long‐term risk of low income. These include interventions to favour employment of disabled members and development of caring services for disabled members to free family members for outside work.

Not much is known about how disability affects the conditions of households with disabled members. The paper contributes to this literature with a novel analysis of low income persistence, providing some policy suggestions.

The purpose of this paper is to explore whether existing theories on saving behaviour and empirical findings on the determinants of saving behaviour can be generalised for the low-income households in developing countries.

The paper adopts Van Manen’s hermeneutic phenomenology approach. Semi-structured interviews were conducted with female household members that belong to low-income households and do not have any member of the household with a permanent job. Interviews were conducted in the cities of Bangalore and Indore in India. Lived experience of participants was captured using conversational interviews and thematic analyses.

The paper provides evidence that the existing literature on saving behaviour is inadequate in explaining either the saving behaviour or the determinants for saving for low-income households in developing countries. This paper finds evidence of poor institutional access and reliance on informal financial intermediaries for low-income households.

This paper establishes the need for a qualitative study with a large sample size to determine the policy interventions and institutional drivers that will encourage low-income households to migrate from the informal financial intermediaries to formal banking institutions.

To the best of author’s knowledge, this is the first qualitative paper aimed at understanding saving behaviour of low-income households. Extant literature is focused on normative economic frameworks that bear limited relation to the contextual realities of low-income households in the developing countries.

The first objective of this study is to analyze whether financial behavior (FB), financial stress (FS), financial literacy (FINLIT) and the locus of control (LOC) influence subjective financial well-being (SFWB) among low-income households in Malaysia. The second objective is to investigate whether the use of digital financial services (DFS) moderates the influence of FB and FS, on SFWB.

Motivated by the literature on transformative service research (TRS), this study examines how the use of DFS impact SFWB among low-income households in Malaysia. Low-income households are chosen as they are more likely to be financially excluded and lack financial knowledge and skills. Using an interviewer-administered survey, trained enumerators collected data from 1,948 low-income households in Malaysia, selected using a two-stage sampling based on the National Household Sampling Frame obtained from the Department of Statistics Malaysia.

Results reveal that SFWB is positively influenced by FB and the LOC, and is negatively impacted by FS and FINLIT. The evidence shows that the use of DFS counterintuitively weakened the strength of the relationship between FB and SFWB, but effectively reduced the adverse effect of FS on SFWB.

To reverse the signs of relationship, financial services marketers need to identify the specific types of DFS that low-income households use in order to provide targeted marketing efforts and financial education to promote the use of DFS on a more holistic basis to increase financial well-being.

The findings of this study add to the body of knowledge deliberating on the opposing effects of technology on consumers' welfare and well-being. This study focuses on the lower-income stratum of Malaysian households as this group of the population is more likely to be financially excluded and have deficiencies in financial knowledge and skills. Findings of this study show that DFS use can actually diminish the positive impact of FB on SFWB while reducing the adverse effect of FS on SFWB.

This paper examines the determinants of savings among low-income households, regarded as non-Ricardian households (NRHs), in South Africa. NRHs comprise low-income households largely depending on government welfare benefits for sustenance. This research investigates socio-economic factors determining savings pattern of low-income households in South Africa.

The research makes use of the National Income Dynamics Study (NIDS) data set wave one to five. The longitudinal survey models are analysed in determining the socio-economic characteristics of NRH in South Africa. The estimators include Pooled ordinary least square (OLS), fixed and random effects methods.

The household grant contributes positively to the level of savings, but the savings level is still considerably low: majority of the low-income households have zero or negative savings. The average size of a NRH is about twice the size of the Ricardian, despite the NRHs’ debt burden impoverishing them.

The self-perpetuated poverty problem makes every factor in the vicious cycle both cause and effect of another factor, warranting reverse causality and threatening the reliability of Pooled OLS estimates for the research.

The growing cost of government grant hinges on the increased level of inflation while largely depending on the number of households entering the low-income threshold.

The study recommends that the government creates a more enabling environment for NRHs to engage in productive activities. Also they create more low-skilled jobs and encourage reduction of birth rate among low-income households; this will reduce their expenditure and increase their level of savings and will assist in pulling them out of the vicious circle of poverty. Government can boost NRHs’ savings through increase in various grants.

The study makes significant contribution towards addressing the unfortunate situation of household savings among low-income brackets in South Africa. The research corroborates other studies on the effectiveness of the fiscal stimulus package to boost the welfare and savings condition of NRHs in South Africa. The result explicitly confirmed the redistribution policy of the grant to the low-income household. The grant has a significant positive effect on the savings pattern of the household. An increase in it beyond the poverty threshold could indeed break the vicious circle of poverty since the effect does not only stop at expenditure but also pass through to savings, which may ultimately boost investment. Further studies should continue the investigation of grant transmission channels to investment and income.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2019-0692

There has been growing interest in recent years in modelling various poverty‐related issues. However, there have not been many attempts at empirical estimation of best‐fit income distribution functions with an objective of subsequent use in poverty focused models. The purpose of this paper is to fill this gap by empirically estimating best‐fit income distribution functions for different household income groups and computing poverty and inequality indices for Sri Lanka.

The authors empirically estimated a number of popular distribution functions found in the income distribution literature to find the best‐fit income distribution using household income and expenditure survey data for Sri Lanka and subsequently estimated various poverty and inequality measures.

The results show that the income distributions of all low‐income household groups follow the beta general probability distribution. The poverty measures derived using these distributions show that among the different income groups, the estate low‐income group has the highest incidence of poverty, followed by the rural low‐income group.

According to the best of the authors' knowledge, empirical estimation of income distribution functions for South Asia has never been attempted. The results of this study, even though based on Sri Lankan data, will be relevant to most developing countries in South Asia and will be very useful in developing poverty alleviation strategies.

The author proposes analyzing the dynamics of income positions using dynamic panel ordered probit models. The author disentangles, simultaneously, the roles of state dependence and heterogeneity (observed and non-observed) in explaining income position persistence, such as poverty persistence and affluence persistence. The author applies the approach to Chile exploiting longitudinal data from the P-CASEN 2006–2009. First, the author finds that income position mobility at the bottom and the top of the income distribution is much higher than expected, showing signs that income mobility in the case of Chile might be connected to economic insecurity. Second, the observable individual characteristics have a much stronger impact than true state dependence to explain individuals’ current income position in the income distribution extremes.

The digital divide has persisted in California and the USA as a whole at approximately the same level for the past decade. This is despite multiple programs being created and billions of dollars being spent to close it. This paper examines why the efforts to date have been ineffective and to offers policy alternatives that might be more successful.

Using data from three, variable constrained projects in California, this paper examines the effectiveness of information-based outreach efforts at closing the digital divide. The projects tested various outreach and enrollment methods to see which, if any, could increase broadband adoption in low-income households.

This project found that providing low-income households’ information about low-cost broadband offerings was ineffective at closing the digital divide. The findings in this paper were similar to those of two other works that examined the federal Broadband Technology Opportunities Program (BTOP) grants under the American Recovery and Reinvestment Act.

The findings of this paper along with the works cited that evaluated the BTOP program should be enough to change public policy. For the past ten years, efforts to close the digital divide have focused on providing information to low-income households. However, two independent surveys show broadband adoption has remained virtually flat during that period.

The digital divide brings concomitant economic and education harms and challenges that plague those unable to access information, services, educational and employment opportunities with the same ease, speed and sufficiency as their connected peers and neighbors. Those harms exacerbate the already existing education and income divides. This paper shows that without a change in strategy, those harms will persist.

This paper breaks new ground and addresses one of the weaknesses identified in existing research. To the best of author’s knowledge, this is the first paper of its type to use programs designed to generate data that can be empirically evaluated for effectiveness. Prior studies attempted to assess program effectiveness by using data generated from fully implemented government programs. However, those programs contained a vast number of unidentified variables and insufficient data collection. They were not designed to facilitate academic evaluation, and as such made a true effectiveness evaluation challenging.

Given the scarcity of data during the early stages of the COVID-19 pandemic in China, the decision-making for non-pharmaceutical policies was mostly based on insufficient evidence. The purpose of this study is to assess the effectiveness of these policies, such as lockdown and government subsidies, on rural households and identify policy implications for China and other countries in dealing with pandemics.

The authors survey 2,408 rural households by telephone from 101 counties across 17 provinces in China during the first stage of the pandemic (March 2020). The authors use the ordered probit model and linear regression model to study the overall impact of policies and then use the quantile regression model and sub-sample regression method to study the heterogeneity of the effects of government policies.

The authors find that logistics disruption due to lockdown negatively affected rural households. Obstructed logistics is associated with a more significant loss for high-income households, while its impact on the loss expectation of low-income households is more severe. Breeding and other industries such as transport and sales suffer more from logistics than cultivation. The impact of logistics on intensive agricultural entities is more serious than that on professional farms. The government subsidy is more effective at reducing loss for low-income households. Lockdown and government subsidies have shown heterogeneous impacts on rural households.

The overall economic losses experienced by rural households in the early stages of the pandemic are controllable. The government policies of logistics and subsidies should target specific groups.

The authors evaluate the economic impacts of lockdown and government subsidies on rural households and show their heterogeneity among different groups. The authors further demonstrate the policy effectiveness in supporting rural households during the early stages of the pandemic and provide future policy guidance on major public health event.

The application of hybrid renewable energy system (HRES) can mitigate inadequate access to clean, stable and sustainable energy among households in sub-Saharan Africa (SSA). Available studies on HRES seem to concentrate only on its techno-economic and environmental viability. In so doing, these studies do not seem to underline the likely challenges that follow the acquisition of HRES by especially low-income households. The ensuing reality is, of course, a limitation in the use of HRES in homes with low incomes. It is therefore imperative to analyze how a household with low income can afford this kind of energy system. The purpose of this study, therefore, lies in presenting a techno-economic, environmental and affordability analysis of how HRES is acquired.

To arrive at a grounded analysis, a typical household in SSA is used as an example. The analysis focused on the pattern of energy use, and this is obtained by visiting an active site to evaluate the comprehensive load profile. In the course of analysis, an optimal techno-economic design and sizing of a hybrid PV, wind and battery were undertaken. Additionally, an acquisition analysis was done based on loan amortization.

The interesting result is that a combination of the photovoltaic-gasoline-battery system is the most cost-effective energy system with a net present cost of $2,682. The system combination can lead to an emission reduction of approximately 98.3 per cent, compared to the use of gasoline generating sets, common mostly in SSA. If an amortized loan is used to purchase the energy system, and the payment plan is varied such that the frequency of payments is made quarterly, annually, semi-annually, bi-monthly, semi-monthly and bi-weekly, it will be observed that low-income household can conveniently acquire a HRES.

The result presented a framework by which a low-income household can purchase and install HRES. To facilitate this, it is recommended that low-income households should be given interest-friendly loans, so as to enhance the acquisition of HRES.