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The purpose of this study is to understand the factors that contribute to the number of reported coronavirus (COVID-19) deaths among low-income and high-income countries, and to understand the sources of differences between these two groups of countries.

Multiple linear regression models evaluate the socio-economic factors that determine COVID-19 deaths in the two groups of countries. The Oaxaca–Blinder decomposition is used to examine sources of differences between these two groups.

Low-income countries report a significantly lower average number of COVID-19 deaths compared to high-income countries. Community mobility and the easiness of carrying the virus from one place to another are significant factors affecting the number of deaths, while life expectancy is only significant in high-income countries. Higher health expenditure is associated with more reported deaths in both high- and low-income countries. Factors such as the transport infrastructure system, life expectancy and the percent of expenditure on health lead to the differences in the number of deaths between high- and low-income countries.

Our study shows that mobility measures taken by individuals to limit the spread of the virus are important to prevent deaths in both high- and low-income countries. Additionally, our results suggest that countries with weak health institutions underestimate the number of deaths from COVID-19, especially low-income countries. The underestimation of COVID-19 deaths could be affecting a great number of people in poverty in low-income economies.

This paper contributes to the emerging literature on COVID-19 and its relation to socio-economic factors by examining the differences in reported between deaths between rates in low-income and high-income countries.

The purpose of this paper is to analyze and compare the costs of price and income subsidies when the food security policy targets the urban poor. The result may help policymakers choose a desired subsidy scheme to ensure food security for the urban poor facing food price surge.

The analysis consists of three parts: constructing an empirical model on provincial panel data in 1993‐2009 estimating the impact of grain price on food security among urban residents by different income level; evaluating the potential costs of shifting to income subsidy aiming to maintain the real income levels of the low income, lowest income or the poor residents if grain price increases by 20 percent; and comparing with the cost of price subsidy to achieve the same policy goal.

The paper finds that, food price surge will hurt the urban poor much more seriously than the high income population; the rich residents may receive more benefit from price subsidy; and income subsidy has obviously a cost advantage while the targeted people benefit more.

The obvious value of the paper is to show that income subsidy is much more desired than price subsidy, if the policy goal is to help the poor during food price surge.

Poverty alleviation has been a major theme of China's modernization process since the founding of New China. This paper points out that China's poverty alleviation process presents three stylized facts: “Miraculous” achievements of poverty alleviation have been made on a global scale; the poverty alleviation achievements mainly occurred in the high growth stage after reform and opening up; the poverty alleviation process is accompanied by the structural transformation of the urban–rural dual economy.

Therefore, a logically consistent analytical framework should form among the structural transformation of the dual economy, economic growth and the achievements in poverty alleviation. In logical deduction, the structural transformation of the dual economy affects rural poverty alleviation through the effects of labor reallocation, agricultural productivity improvement, demographic change and fiscal resource allocation.

The first two refer to economic growth, and the latter two are alleviation policies. The combination of economic growth and poverty alleviation policies is the main cause for poverty alleviation performance. China's empirical evidence can support the four effects by which the structural transformation of the dual economy affects poverty alleviation.

China's socialist system and its economic system transformation after reform and opening up provide an institutional basis for the effects to come into play. After 2020, China's poverty alleviation strategies will enter the “second-half” phase, namely, the phase of solving the problems of relative poverty in urban and rural areas by adopting conventional methods and establishing long-term mechanisms. This requires the facilitation of the reconnection between poverty alleviation strategies and the structural transformation of the dual economy in terms of development ideas and policy directions.

Reflecting the broader “cultural turn” in retail studies, recent surveys of do‐it‐yourself (DIY) consumers have emphasised human agency rather than economic constraints when explaining their motives for purchasing DIY products. The aim of this paper, however, is to evaluate critically this agency‐oriented interpretation of the DIY retail market. Analysing evidence from English urban areas, it is shown that consumers' reasons for acquiring DIY products can be neither reduced simply to a lifestyle choice and nor can their behaviour be explained merely in terms of economic constraints. Such either/or thinking obfuscates how both co‐exist in people's motives and combine in contrasting ways in different populations. To transcend and reconcile these contrasting explanations, a both/and approach is thus adopted here that recognises how economic necessity and choice are entangled in rationales for participation in DIY. The paper concludes by exploring the wider implications of this finding for the economy/culture debates in retail studies.

Snacking contributes to one-quarter of children’s total daily energy intake in the USA, with many snack foods being nutrient-poor and energy-dense. Snacking and sugary beverage consumption have been identified as potential contributors to childhood overweight and obesity and may play a particularly important role among children from socioeconomically disadvantaged households that generally display higher rates of obesity. This exploratory study investigated associations between consumption of snack foods, sugar-sweetened beverages (SSB) and overweight and obesity in children from low-income households.

Data from households that participated in a multi-state cost-offset (CO-CSA) community supported agriculture intervention in 2016 and 2017 (n = 305) were analyzed. Fixed effect regression models were used to estimate associations between child monthly consumption of salty snack foods; sweet snack foods and SSBs; and child weight status, accounting for demographic characteristics.

No associations were found between snack or SSB consumption and child overweight. However, household income was significantly, negatively related to all three consumption variables (Salty snacks: ß = −0.09, SE = 0.04, p = 0.02; Sweet snacks: ß= −0.10, SE = 0.04, p = 0.01; SSB: ß= −0.21, SE = 0.05, p = 0.0001). The results suggest that household income may play an important role in children’s snacking and SSB behaviors among more disadvantaged households.

Factors beyond snack food and SSB consumption should be explored to better understand childhood overweight and obesity, and to inform future obesity interventions.

Socioeconomic disparities in childhood obesity are an ongoing policy-relevant issue within the USA and internationally. This study provides new information about child snacking behaviors in a unique, low-income population and contributes to the evidence base regarding the role household context in shaping child consumption behaviors.

This paper aims to present a discursive and evaluative analysis of Energy + Illawarra, an Australian Government Low Income Energy Efficiency Program (LIEEP) funded interdisciplinary social marketing energy efficiency programme. Energy + Illawarra was a community programme working with low-income older people in Australia and involving social marketers, human geographers and engineers. The paper aims to identify how ecological systems theory can inform social marketing, and what practicalities there may be in doing so. The paper also aims to assess whether a social marketing programme that draws on ecological systems theory can have a positive impact on people’s thermal comfort.

First, the paper uses critical discursive analysis to examine the use of various elements of a social marketing energy efficiency programme in relation to the different levels of ecological systems theory. Second, a longitudinal cohort survey study design is used to evaluate the programme’s influence on people’s perceptions of thermal comfort and satisfaction with thermal comfort in their homes.

The study found that ecological systems theory could be an effective framework for social marketing programmes. The evaluation study found that the intervention had a positive impact on participant’s perceptions of thermal comfort, satisfaction with thermal comfort and attitudes towards energy efficiency. However, the paper identifies some potential tensions in using ecological systems theory and suggests that issues of power, representation, agenda setting, the need for reflexive practice and consideration of unintended consequences are important considerations in social marketing programmes.

The work presented here suggests that multi-level social marketing programmes that draw on ecological systems theory can make a useful contribution to social change as demonstrated by the evaluation survey finding positive impacts on thermal comfort and attitudes of participants. However, issues of power, representation, agenda setting, the need for reflexive practice and consideration of unintended consequences should be considered in social marketing programmes.

The history and development of urban transportation sysems in Brazil are reviewed in some detail. Early urban developments were served by rail and relied upon the rail transit systems but this has deteriorated since the 1930s as a result of high urban growth rate. Rail transport has chiefly been replaced by buses and micro‐buses, and latterly by cars but these have compounded rather than improved the situation. Industrialisation in the 1950s had a profound effect as existing networks were unable to cope with rapid urban development and growth. The social implications of transport costs, wasted travel time, the development of slum areas in inner cities, are considered and viewed as a poor reflection on an industrial and urban economy such as Brazil. The conclusion is drawn that the transportation system may ultimately jeopardise the continuity of Brazil′s industrialisation and modernisation.

Increasingly complex societal challenges call for new, innovative solutions that social hybrid business models can provide. Social supermarkets (SSMs) are one example offering access to affordable food to people living in poverty while reducing food waste of nearby retailers. Finding the “right” location is an essential part of this retail marketing strategy. However, limited research has attempted to investigate the specific conditions of locational planning for hybrid and nonprofit retail organizations. This paper illustrates the case of Austria where SSMs are well established.

A GIS-based white space analysis was carried out to identify potential neighborhoods or rural areas for new social supermarkets with sufficient nearby demand, supply and no existing SSMs. The empirical parameters for this spatial analysis can be transferred to European countries with similar ecosystems. The authors collected a unique data set of 79 (2014) and 88 SSMs (2019) and 4,665 (2014) and 4,211 (2019) food retailers as (potential) suppliers to SSMs. To determine demand, the authors relied on small-scale integrated wage and income tax data and unemployment rates (2011) from Statistics Austria.

Overall, Austria has very good spatial access to grocery stores, including to SSMs. SSM access increased especially in the capital of Vienna between 2014 and 2019. The GIS-based white space analysis identified several other regions where residents have a high demand for affordable food with sufficient potential suppliers of surplus food but no SSM yet. Neighborhood-level findings are released as part of a publicly accessible spatial decision support system.

The methodology allowed a specific definition of the key areas of relevance by matching the demand for SSMs, calculated as the number of people with low incomes in the respective regions in Austria, with the supply of SSMs, calculated as the amount of potential food loss prevention by nearby retail stores. These parameters have proven to help in identifying the white spaces and therefore can be used in Austria and other European countries with similar ecosystems.

The disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of the inherent characteristics of the disabled populations, so that working plans and policies, which can effectively help the disabled populations, can be made accordingly.

In this paper, the authors proposed a big data management and analytic approach for disability datasets.

By using a set of data mining algorithms, the proposed approach can provide the following services. The data management scheme in the approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. The data mining scheme in the approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments based on real-world dataset are conducted at the end to prove the effectiveness of the approach.

The proposed approach can enable data-driven decision-making for professionals who work with disabled populations.

This study aims to investigate whether frugality increases customer complaints via the mediating role of the zone of tolerance (ZOT) of quality for Shanzhai products. Additionally, the study seeks to explore how customer empathy as a boundary condition affects the relationship between the ZOT of quality and customer complaints.

Based on the purchasing data of 241 low-income customers from business-to-consumer (B2C) e-commerce and social platforms in China, hierarchical analysis was conducted in the study. Moreover, “PROCESS SPSS Macro” was used to test the mediation effect of the ZOT of quality and the moderated mediation effect with customer empathy as a moderator.

The results indicate a positive impact of frugality on customer complaints, which is mediated by the ZOT of quality. Moreover, with an increase in customer empathy, the negative effect of the ZOT of quality on customer complaints increases, and the positive influence of frugality on customer complaints, through the mediation of the ZOT of quality, also becomes stronger.

Drawing upon the principle of cognitive consistency, this study not only extends the stream of research on frugality by exploring how frugality influences customer complaints via the mediation of the ZOT of quality but also sheds new light on the research on customer empathy by exploring its moderating role in the relationship between the ZOT of quality and customer complaints.