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Digital inclusive finance has a positive promotion effect on the development of the national economy, but little research exists on how digital inclusive finance affects high-quality consumption in economically developed regions. Therefore, to fill the gap, this paper aims to study the impact of digital inclusive finance on high-quality consumption development using the economically developed regions of Jiangsu, Zhejiang and Shanghai as examples.

Firstly, the entropy method is used to construct the index of high-quality consumption among residents. Then, the municipal-level data of Jiangsu, Zhejiang and Shanghai from 2011 to 2020 are used to test the impact. Subsequently, the mechanism of action test and heterogeneity analysis are conducted.

The results show that digital inclusive finance has a positive role in promoting the high-quality consumption of residents in Jiangsu, Zhejiang and Shanghai. At the same time, digital inclusive finance can promote high-quality consumption through its own digital payment and internet insurance channels. There is regional heterogeneity in the impact.

To the best of the authors’ knowledge, this study is the first to examine whether and how digital inclusive finance affects high-quality consumption. The authors consider multiple dimensions, such as consumption level, consumption structure, consumption ability, consumption environment and consumption mode, to measure high-quality consumption. The findings provide valuable insights for policymakers, investors and regulators in planning regulations.

The research on the positive effects of children’s learning in and with nature is persuasive yet a deeper examination of the contemporary and historical discourses suggests that the school garden has been neither welcoming nor accessible to all children. Its detrimental effects on groups of children have been masked within the discourses of urban children’s health and wellbeing, environmental stewardship, and children’s connection with nature. The school garden has been used historically to enact adult agendas to contain and protect urban children from the social ills of modernity; civilise and assimilate marginalised, impoverished, and immigrant groups; and make future industrial and agricultural labourers who would in turn, entrench the white affluent society’s economic and social positions. In this sense, the school garden was used to reinforce patriarchal, colonial, white supremacist, and eugenic aspirations. We consider the school garden movement in North America through a discourse analysis of historical school garden texts to explore how childhoods were culturally constructed and how these discourses have influenced children both in the past and present.

The sale of second-hand goods in the luxury fashion space continues to soar. However, existing literature on this segment is limited and the factors that draw consumers to this space are not well understood. This study aims to fill this gap and proposes a conceptual model demonstrating the linkage between the motivators and barriers toward re-commerce in the luxury fashion space and actual shopping behaviors.

A survey sample of USA second-hand luxury fashion shoppers was collected. Participants were asked questions about various motivators and barriers toward re-commerce, as well as the participants' attitudes and shopping behavior. The results were analyzed using SmartPLS structural equation modeling (SEM).

Economic reasons, originality and self-extension were found to be statistically significant motivators of attitudes toward re-commerce, while status consumption, nostalgia and ecological motivators were not. Superstitious beliefs were also found to be statistically significant motivators toward attitudes of re-commerce. Attitudes were also found to be a significant predictor of shopping behavior as measured by dollars spent and shopping frequency.

This study is among the first to propose a conceptual model depicting the relationship between motivators and barriers to actual shopping behavior in the second-hand luxury fashion space. Many of the motivators and barriers examined in this study are novel and have not been considered in prior research. Superstitious beliefs in particular have not been studied in the context of re-commerce.

The purpose of this study is to understand the profit implications of analytics-driven centralized discriminatory pricing at the headquarter level compared with sales force price delegation in the purchase of an aftermarket good through an indirect retail channel with symmetric information.

Using individual-level loan application and approval data from a North American financial institution and segment-level customer risk as the price discrimination criterion for the firm, the authors develop a three-stage model that accounts for the salesperson’s price decision within the limits of the latitude provided by the firm; the firm’s decision to approve or not approve a sales application; and the customer’s decision to accept or reject a sales offer conditional on the firm’s approval. Next, the authors compare the profitability of this sales force price delegation model to that of a segment-level centralized pricing model where agent incentives and consumer prices are simultaneously optimized using a quasi-Newton nonlinear optimization algorithm (i.e. Broyden–Fletcher–Goldfarb–Shanno algorithm).

The results suggest that implementation of analytics-driven centralized discriminatory pricing and optimal sales force incentives leads to double-digit lifts in firm profits. Moreover, the authors find that the high-risk customer segment is less price-sensitive and firms, upon leveraging this segment’s willingness to pay, not only improve their bottom-line but also allow these marginalized customers with traditionally low approval rates access to loans. This points out the important customer welfare implications of the findings.

Substantively, to the best of the authors’ knowledge, this paper is the first to empirically investigate the profitability of analytics-driven segment-level (i.e. discriminatory) centralized pricing compared with sales force price delegation in indirect retail channels (i.e. where agents are external to the firm and have access to competitor products), taking into account the decisions of the three key stakeholders of the process, namely, the consumer, the salesperson and the firm and simultaneously optimizing sales commission and centralized consumer price.

An in-depth literature review was undertaken to uncover (1) what are described as the desired outcomes for 20 minute neighbourhoods (20MNs) – the normatively based ends which planners, architects and decision-makers want 20MNs to achieve; (2) the means (the mechanisms, levers, triggers and causal factors) that have to be correctly assembled and lined up for 20MNs to operate as intended and (3), in order to avoid naive environmental determinism, the behavioural changes required to support the operation of 20MNs even where the required configuration of means can be achieved. The content analysis was conducted following guidelines offered by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria.

Growing interest in the urban design concept of the “20MNs” has been greatly accelerated by the COVID-19 pandemic. It has been presented as a way of increasing the quality of local environments by enabling people to meet their daily needs through access to safe walking and cycling routes or by public transport. Internationally, it has captured the imagination of political decision-makers, built-environment practitioners and communities alike, as a life-affirming post-pandemic vision, held up as achieving environmental, health and economic improvements as well as reducing inequalities experienced by many. This paper's overall purpose is to separate the ends pursued in 20MNs from means available for achieving them.

The paper concludes that the ambition to see the 20MNs widely woven into existing urban, suburban and rural neighbourhoods will require significant effort to ensure all that all the component parts of, and key players in, planning's place-delivery systems are aligned and mutually supportive. Even where this can be achieved, further guidance will be needed on (1) how to operationalise the practical implementation of 20MNs and (2) how their success can be measured.

The originality of the paper lies in its efforts to discriminate between ends and means – between desired outcomes of 20MNs and the means available for achieving them. The significance of the paper lies here in this attempt to initiate a discussion on possible causal relationships between what is wanted and what would need to be done to achieve it. Without clarity about these relationships, misunderstanding, confusion and barriers to communication may arise across the many different organizations, stakeholder groups and actors involved. This lack of clarity could undermine trust and confidence, potentially undermining both the process and to its outcomes.

The COVID-19 pandemic, a sudden and disruptive external shock to the USA and global economy, profoundly affected various operations. Thus, it becomes imperative to investigate the repercussions of this pandemic on the US housing market. This study investigates the impact of the COVID-19 pandemic on a crucial facet of the real estate market: the Time on the Market (TOM). Therefore, this study aims to ascertain the net effect of this unprecedented event after controlling for economic influences and real estate market variations.

Monthly time series data were collected for the period of January 2010 through December 2022 for statistical analysis. Given the temporal nature of the data, we conducted the Durbin–Watson test on the OLS residuals to ascertain the presence of autocorrelation. Subsequently, we used the generalized regression model to mitigate any identified issues of autocorrelation. However, it is important to note that the response variable derived from count data (specifically, the median number of months), which may not conform to the normality assumption associated with standard regression models. To better accommodate this, we opted to use Poisson regression as an alternative approach. Additionally, recognizing the possibility of overdispersion in the count data, we also explored the application of the negative binomial model as a means to address this concern, if present.

This study’s findings offer an insightful perspective on the housing market’s resilience in the face of COVID-19 external shock, aligning with previous research outcomes. Although TOM showed a decrease of around 10 days with standard regression and 27% with Poisson regression during the COVID-19 pandemic, it is noteworthy that this reduction lacked statistical significance in both models. As such, the impact of COVID-19 on TOM, and consequently on the housing market, appears less dramatic than initially anticipated.

This research deepens our understanding of the complex lead–lag relationships between key factors, ultimately facilitating an early indication of housing price movements. It extends the existing literature by scrutinizing the impact of the COVID-19 pandemic on the TOM. From a pragmatic viewpoint, this research carries valuable implications for real estate professionals and policymakers. It equips them with the tools to assess the prevailing conditions of the real estate market and to prepare for potential shifts in market dynamics. Specifically, both investors and policymakers are urged to remain vigilant in monitoring changes in the inventory of houses for sale. This vigilant approach can serve as an early warning system for upcoming market changes, helping stakeholders make well-informed decisions.

Research into older adults' use of social media remains limited. Driven by increasing digitalisation in China, the authors focus on Chinese older adults (aged 60–75)’ use of WeChat.

This study used a qualitative interpretive approach and interviewed Chinese older adults to uncover their social practices of WeChat use in everyday life.

By using social practice theory (SPT), the paper unfolds Chinese older adults' social practices of WeChat use in everyday life and reveals how they adopt and resist the drastic changes in Chinese society.

The study contributes to new understandings of SPT from technology use by emphasising the dynamic characteristics of its three elements. The authors synthesise both adoptions and resistance in SPT and highlight the importance of understanding three elements interdependently within specific contexts, which are conditioned by structure and agency.

This paper aims to examine the influence of religious backgrounds and religiosity on three dimensions of household finance (the decision to hold secured debt, the likelihood of being in a state of financial distress and the likelihood of being in a state of financial well-being) across a large sample of European countries.

The study uses data from the European Union Statistics on Income and Living Conditions (EU-SILC) data set, spanning from 2004 to 2018. The authors conduct regression analysis to examine the relationship between religion and household financial choices.

The study finds that belonging to a predominantly Catholic or Orthodox (Protestant) country is negatively (positively) associated with the likelihood of holding a mortgage. Belonging to a mostly Catholic (Protestant) country is negatively (positively) associated with the likelihood of being in a state of financial distress. Belonging to a predominantly Catholic (Protestant) country is positively (negatively) associated with the likelihood of being in a state of financial well-being. These relationships remain robust after controlling for a large number of demographic and economic variables.

In this paper, the authors analyze for the first time the impact of religion on household finance in a wide range of European countries. It is also the first time that the EU-SILC database, which aggregates data on more than three million European households, is used for the study of this topic.