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The prioritization of multilingual and multicultural education (MME) must spread beyond educators and researchers, who have long known the benefits, to the politicians and policymakers and to the general public. This paper aims to propose that the MME field needs a good economist who can explain MME benefits in terms of the language of economy, clarifying that economic advantages extend beyond diverse individuals, including those who may be ideologically opposed, via increased economic output to potentially benefit all.

Using a conceptual framework, connections are demonstrated between MME and increased cultural and linguistic sensitivity as well as between the effects of increased sensitivity on the potential for economic benefits. These connections can be logically extended to consider the effects of MME on economic output.

Research indicates that MME can increase cultural and linguistic sensitivity and that increased sensitivity to cultural and linguistic diversity can affect economic output. A logical bridge between the two fields of research is illustrated.

This paper uses a practical approach to support the flourishing of MME. If MME is, ultimately, to result in benefits that all can appreciate, it is imperative to get groups with various purposes on board. Then, maybe we can look forward to the effective and pervasive implementation of MME. The challenge remains that this message has not been reaching the general public, and a good economist’s communication could be the key.

The study examines health care inequities in viral load testing among hepatitis C (HCV) antibody-positive patients. The analysis predicts whether individual and census tract sociodemographic characteristics impact the likelihood of viral load testing.

This a study of 26,218 HCV antibody-positive patients in Orange County, California, from 2010 to 2020. The case data were matched with the 2017 American Community Survey to help understand the role of neighborhood socioeconomic characteristics in testing for viral load. Multivariable logistic regression was used to predict the probability of ever testing for HCV viral load.

Thirty-six percent of antibody-positive persons were never viral load tested. The results show inequalities in viral load testing by sociodemographic factors. The following groups were less likely to ever test for viral load than their counterparts: (1) individuals under 65 years old, (2) females, (3) residents of census tracts with lower levels of health insurance enrollment, (4) residents of census tracts with lower levels of government health insurance, and (5) residents of census tracts with a higher proportion of non-white residents.

This is a secondary database from public health department reports. Using census tract data raises the issue of the ecological fallacy. Detailed medical records were not available. The results of this study emphasize the social inequality in viral load testing for HCV. These groups are less likely to be treated and cured, and may spread the disease to others.

This chapter is unique as it combines routinely collected public health department data with census tract level data to examine social inequities associated with lower rates of HCV viral load testing.

Crisis services personnel are frequently deployed around the globe under highly demanding conditions. This raises the need to better understand the deployment process and more especially, sustainable reintegration after deployment. Despite recent research efforts, the study of the post-deployment stage, more specifically the reintegration process, remains fragmented and limited. To address these limitations, this review aims at (1) describing how reintegration is conceptualised and measured in the existing literature, (2) identifying what dimensions are associated with the reintegration process and (3) identifying what we know about the process of reintegration in terms of timing and phases.

Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol, the authors identified 5,859 documents across several scientific databases published between 1995 and 2021. Based on predefined eligibility criteria, 104 documents were yielded.

Research has primarily focused on descriptive studies of negative individual and interpersonal outcomes after deployment. However, this review indicates that reintegration is dynamic, multi-sector, multidimensional and dual. Each of its phases and dimensions is associated with distinct challenges.

To the authors’ knowledge, this is the first research that investigates reintegration among different crisis services and provides an integrative social-ecological framework that identifies the different dimensions and challenges of this process.

The theory of planned behaviour (TPB) and its extensions are often used to explain intentions to perform sustainable behaviours. Emotions can provide the impetus for action and should be considered in high-involvement situations, such as sustainable food purchase decisions. Therefore, the aim of this research work was to investigate whether the addition of different types of emotions (self-related, social and pro-active) to the TPB main constructs – attitude (ATT), subjective norm (SN) and perceived behavioural control (PBC) – improves the explanation of intention to make two sustainable food purchase choices: purchase Fairtrade (FT) products and purchase through solidarity purchasing groups (SPGs).

The present investigation was conducted by two studies using online questionnaires and focussing on purchasing FT food products (Study 1) and purchasing food through SPGs (Study 2). Stepwise regression models were run to explain the intention to purchase FT products (Study 1; N = 240) and the intention to purchase through SPGs (Study 2; N = 209).

Results show that emotions increase the predictive validity of the TPB model. The study also highlights the importance to distinguish between different types of emotions. Amongst those considered in both studies, only pro-active emotions play a significant role in predicting food purchasing intention. Results encourage further investigation of the role of emotions in TPB-based models for predicting sustainable food purchase choices.

The measurement of the three classical antecedents of the TPB model (ATT, SNs and PBC) performed by single items can be considered the main limitation of this work. In future research, instruments made up of more items measuring these three theoretical dimensions should be used. In addition, it would be important to conduct an analysis of the beliefs that determine ATTs, norms and perceived control.

Different from previous studies that considered emotions in extension of the TPB model to explain sustainable behaviours, the present work separately analysed the role of three different kinds of emotions (self-related, social and pro-active) in explaining sustainable food behaviours.

The present study aims to investigate the non-linear relationship between trade and income inequality to address goal 10 of sustainable development goals (SDGs) using the Kuznets Curve (KC) framework for major emerging countries during 1991–2020.

For this purpose, recent econometric techniques, such as Common Correlated Effect (CCE) and Dynamic Common Correlated Effect (DCCE) estimators have been employed to deal with the cross-section dependence (CD) that arises in panel data, while the robustness of the study is checked through Driscoll–Kraay standard errors method.

The empirical results of the study confirm the existence of inverted “U-shaped” relationship between trade and income inequality suggesting evidence for the trade-led KC in the panel of emerging countries. Along with the non-linear model, the threshold value is estimated to be between 3.5 and 4% of gross domestic product (GDP).

The authors' findings support that trade contributes significantly toward reducing income inequality and helps in achieving goal 10 of SDGs. Hence, trade policies appear to be more egalitarian. The results widen the scope for further research and provide insights for regulators and policymakers in modeling trade policies and changing the status quo trade policy framework accordingly.

The present study is a pioneering attempt to examine the non-linear relationship between trade and income inequality under the KC framework in light of the Agenda 2030 for sustainable development. The study also considers other explanatory factors that have an impact on income inequality. Furthermore, the study considers other explanatory factors that have an impact on income inequality, and the attempt to estimate the threshold value for the trade-led KC is novel and interesting.

Road freight transportation companies need to take advantage of information and communication technologies to develop capabilities. This study proposes a framework to guide road freight transportation companies to achieve data visibility in their operations by developing such capabilities. By proposing this framework, this research contributes to literature and practice, highlighting the capabilities and the respective supporting technologies for improved data visibility in road freight transportation.

A mixed-method approach is used to develop the framework, considering three methodological steps. In phase 1, the capabilities are identified in the literature and validated by experts. In phase 2, an empirical assessment of cause–effect relationships between capabilities is performed using a multiple case study and DEMATEL. Lastly, in phase 3, an analysis of the cause model and significant associations is conducted to enable the development of the framework. In addition, the proposed framework was validated by the experts interviewed.

The results provide a framework that explains the link between the technology-enabled data visibility capabilities in road freight transportation operations. In addition, a pathway was established that road freight transportation companies could follow to achieve data visibility in their operations by developing such capabilities.

This work develops the first framework that provides a path for data visibility in road freight transportation operations from adopting certain technologies. The insights are compelling for researchers and practitioners to optimize the decision-making process for adopting technologies and developing capabilities related to data visibility.

The COVID-19 pandemic has caused a dramatic impact on energy supply and demand. It is vital to understand households’ behaviour with regard to energy, particularly during the pandemic, to deploy future sustainable energy systems. This study aims to investigate the nexus of Malaysian households’ energy consumption behaviour in relation to various electrical appliances, their energy-saving appliance purchasing behaviour and their current possession of energy-saving appliances during the pandemic, especially during the lockdown period, from the perspective of the energy cultures framework.

The partial least squares structural equation modelling technique was used to test hypothesised relationships based on the 1,485 pieces of household data collected using an online and physical survey during the lockdown period in Malaysia.

The energy-saving behaviour cultivated due to the impact of the COVID-19 pandemic led to residential customers’ intentions to purchase energy-saving appliances which subsequently led to their current possession of energy-saving appliances. Indeed, energy-saving behaviours in the kitchen, entertainment, office, home lighting and cooling appliances have more than 77.4% influence on their purchasing behaviour. The consumer’s purchase behaviour for energy-saving appliances has a significant, partially mediating influence on the energy-saving behaviour of various electrical appliances and the consumers’ current possession of energy-saving appliances.

This study could be enhanced by improving the sample using a higher-income group and involving other parts of Malaysia such as the southern region. The findings do extend the energy cultures framework by demonstrating the mediating role of households’ energy-saving appliance purchasing behaviour on the relationship between their energy consumption behaviour in relation to various electrical appliances and their current possession of energy-saving appliances.

The results of this study will help develop future action plans for transitioning to energy-saving appliance practices.

This paper examines the effects of the COVID-19 pandemic on future energy efficiency practices in developing countries from the perspective of the energy cultures framework.

Littering has been identified as a significant social issue in India that has negative impact on the environment as well as public health. Social marketing is a powerful tool for changing and sustaining pro-environmental behaviors, but so far no research has been found on the application of social marketing on changing littering behavior in India. This paper aims to integrate the two widely used social marketing models, health belief model (HBM) and theory of planned behavior (TPB), with an extra factor, environmental factors, in a holistic model to understand and predict anti-littering behavior in India.

In total, 750 individuals were interviewed at 34 locations across the states of New Delhi and Punjab (India) in a field survey. For data analysis, confirmatory factor analysis and structural equation model techniques in AMOS 21.0 have been used.

The results of the study suggest that the perceived benefits and perceived barriers have a significant direct effect on the attitude toward anti-littering behavior. No direct impact of perceived threat has been found on attitude toward anti-littering behavior. The results also confirm the role of attitude, subjective norms and self-efficacy in influencing the anti-littering intention with attitude and subjective norms having a greater impact on intention as compared to self-efficacy. Furthermore, the results also highlight that the environmental factors and intention carry more weights than perceived behavioral control in influencing anti-littering behavior. Recognizing the importance of sequential mediators in the present study, the results of the serial mediation analysis revealed that attitude and intention sequentially mediate the path linking perceived benefits, perceived barriers and anti-littering behavior.

To the best of the authors’ knowledge, the current study in terms of theory building appears to be the first to integrate social marketing models HBM and TPB to explain and understand not only anti-littering behavior but also for setting a platform of behavior change in a larger context.