Multiple, accelerating and interacting ecological crises are increasingly understood as constituting a major threat to human health and well-being. Unconstrained economic growth is strongly implicated in these growing crises, and it has been argued that this growth has now become "uneconomic growth", which is a situation where the size of the economy is still expanding, but this expansion is causing more harm than benefit. This article summarises the multiple pathways by which uneconomic growth can be expected to harm human health. It describes how health care systems-especially through overuse, low value and poor quality care-can themselves drive uneconomic growth. Health economists need to understand not only the consequences of environmental impacts on health care, but also the significance of uneconomic growth, and pay closer attention to the growing body of work by heterodox economists, especially in the fields of ecological and feminist economics. This will involve paying closer heed to the existence and consequences of diminishing marginal returns to health care consumption at high levels; the central importance of inequalities and injustice in health; and the need to remedy health economists' currently limited ability to deal effectively with low value care, overdiagnosis and overtreatment.

The article presents the results of a study aimed at evaluating the effectiveness of innovative methods for teaching foreign languages to economics students at Tashkent State University of Economics (TSEU). The study aimed to evaluate the effectiveness of innovative methods for teaching foreign languages to economics students. The study involved 200 students divided into control and experimental groups. The control group was taught using traditional methods, while the experimental group used VR, AR, online courses, role-playing games, project-based learning, adaptive programs, and digital technologies. Results showed significant improvement in the performance and satisfaction of the experimental group. The use of innovative methods led to a 23.7% increase in average scores compared to the control group. Qualitative analysis also confirmed positive student perceptions of the new teaching methods.

This paper introduces a new perspective of economic reasoning and analysis pertaining to situations of complexity combined with nonlinearity and endogenous relations among interacting, integrating and evolutionary entities. The entities comprise multi-variables representing different embedded systems that encompass economy, society, science, and ethics. In the emergent model of endogenous inter-causal relationships between such entities the ontological perspective assumes the nature of evaluating inter-causal intra- and inters- systemic relations by means of formalism belonging to functional ontology of mathematical forms (Gruber, 1993), as opposed to invoking metaphysical ontological speculation. The functional ontological approach to structure and formalize leads to a new framework of economic reasoning in the presence of embedded systems that continuously participate and complement, as opposed to being subjected to the central postulate of marginal rate of substitution and exogenous treatment of knowledge in mainstream economics. The continuous phenomenon of interaction, integration, and evolutionary (IIE) learning in such inter-causal systems establish ethical endogeneity. Thus, philosophical background of economic reasoning is invoked in the functional epistemological formalism of the interactive, integrative, and evolutionary systems. That is sush systems are characterized by IIE-learning processes induced by the episteme of unity of knowledge.

Purpose This study aims to examine the role of Islamic economic and social institutions during Covid-19 and try to propose a model that highlights Islamic economics and social institutions’ role in providing community economic, social and health recovery support. Design/methodology/approach This research uses a qualitative approach with a multicase method. Interviews with the institutions including the Amil Zakat, Islamic Banks, Micro Waqf Banks and Islamic Cooperative (Baitul Maal wat Tamwil) were conducted in order to develop a model about how the integration between each institution in handling the effect of COVID-19. Findings The model shows the interaction roles of each Islamic institution and implementation in the long term and short term in handling the impact of Covid-19, particularly in the economic, social and health sectors. These institutions will assist the government in establishing community economic independence in the face of COVID-19, which has caused economic sluggishness or recession. Research limitations/implications This study proposes the model of synergy using a qualitative approach. Future studies can develop the synergy model by employing a statistical and quantitative method, such as by employing analytical network process method. Originality/value This study adds the literature about empirical evidence on the role of each Islamic economic and social institution and develops new scenario model about integration of those institutions in overcoming economic and social problems during the COVID-19 pandemic. These interactions play a role in shaping the community’s economic independence in dealing with the economic downturn due to COVID-19.

Blended teaching is a teaching mode that combines traditional face-to-face teaching and online learning. In recent years, blended teaching has been regarded as an innovative teaching method in China’s higher education, attracting extensive attention from teachers and students. In this paper, based on the characteristics of blended teaching, the self-efficacy of students from Huaihua University in economics and management is investigated under the blended teaching model. A self-efficacy scale is developed from four dimensions, and its reliability and validity are verified. The results show that students are seldom confident in learning economics, and students’ self-efficacy level is low in the blended teaching model. The average level of ability-related factors is the lowest, and most students find economics courses abstract and challenging to understand. After the individual characteristics of the respondents are differentiated, their self-efficacy has significant differences in several dimensions. Specific recommendations are made to improve the quality of teaching and learning by differentiating the needs of different students.

ABSTRACT In this paper we discuss the pressing need for a just transition in one of our most environmentally and socially problematic contemporary industries: the fashion and textiles industry. We detail the current injustices in the industry, from both environmental and socio-economic standpoints, and then move on to providing some suggestions as to how these entrenched problems with the industry could be addressed. Specifically, we identify five key action areas that could take us towards a just transition for the fashion and textiles industry: establishing limits, developing new indicators, promoting fairness, implementing just modes of governance, and creating new exchange systems. We propose policy interventions in each of these five action areas and discuss how they could practically be put into practice. In doing so, we develop a novel theoretical concept for a more just version of the global fashion industry: the ‘Wellbeing Wardrobe’, which draws on wellbeing economics and de-growth thinking applied to the contemporary fashion industry.

Traditional job security is no longer guaranteed in today’s rapidly changing job market. The COVID-19 crisis has made this even more evident, leading many workers to look for additional jobs to meet their personal needs and secure a stable source of income. The COVID-19 crisis reshaped the job landscape, and unconventional work arrangements like moonlighting have gained popularity. This study focuses on ‘moonlighting’, where individuals take on extra jobs to secure their financial future. We conducted comprehensive research utilising both bibliometric and literature reviews. Our investigation involved analysing 177 relevant documents identified from the Scopus database spanning 45 years. Biblioshiny, an RStudio software, analyses and visualises connections between papers and research studies through network diagrams. The findings reveal ‘Jean Kimmel’ as the most productive and efficient author, and the United States stands at the forefront of moonlighting studies, with their research studies leading the way. Applied economics is the major source in the field of moonlighting. Our contribution to the area of moonlighting in India is new and scarcely researched and published. This concept in India is specifically of concern in the IT industry, where moonlighting is catching fire because of legality issues.

AbstractTyphoon weather poses a significant threat to the security and stability of the power system, as it can potentially lead to the disconnection of transmission lines. Concurrently, there exists substantial uncertainty regarding which specific lines may become disconnected under such weather conditions. The preventive security constrained optimal power flow (PSCOPF) is one of the main methods to address this issue. However, the current PSCOPF exhibits low computational efficiency due to the requirement of analysing all line faults through the N‐1 check. Therefore, this paper proposes a PSCOPF method based on two‐stage optimization. Firstly, the concentric relaxation method is employed to screen and obtain the critical line faults, thereby reducing the total quantity of security constraints associated with N‐1 line fault scenarios. Secondly, the incorporation of scenario transition constraints is introduced to decompose the PSCOPF model into OPF (optimal power flow) models under N‐0 scenarios and N‐1 critical line fault scenarios, then solve iteratively to achieve multi‐scenario decoupling. Finally, the proposed method was validated on the IEEE30 test system to demonstrate its capability to ensure economics in the N‐0 scenario and security in N‐1 scenarios.

Considering that food is a critical factor for a healthy population, social media analysis of discussions about this area is very important to understanding people’s behavior. This research aimed to identify the main areas of communication about healthy food, including sentiment identification, on the social network Twitter (now X). We achieved this aim by analyzing 828,963 Tweets posted from 1 April 2018 to 17 April 2023 based on a dataset that included all Tweets containing the hashtag “#healthyfood” or the phrase “healthy food.” This study extends previous research that focused only on hashtags and did not include all messages about healthy food. The results identified five main communication areas, namely (1) Inspiring, (2) Access to healthy food for children and youth, (3) Expenditure on healthy food, (4) Homemade food, and (5) Vegan/vegetarian diet, of which the second and third areas were not identified in previous research due to selective analysis focusing only on hashtags. These two communities had the highest negative sentiment of the top 10 communities, suggesting that these issues require attention.

The study employs bibliometric and content analysis to assess the current status of applying technology adoption models (such as the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Innovation Diffusion Theory (IDT)) to the smartphone market, which also encompasses smart wearables. Hereby, the author aims to explore the relationship between smartphone usage and adoption models and contribute to the literature through current trends and methodologies. To achieve the goal, the author applied a two-stage approach. In the first stage, 213 articles were analyzed using citation and bibliographic coupling tools in VOS viewer (version 1.6.20). The papers were selected from the Scopus database, and the search was conducted in the fields of economics, business, and computer technologies. In the second stage, the author conducted a brief literature review of the most influential papers. The results illustrate the situation regarding the implementation of various models in the case of smartphone adoption. Content analyses of the most influential papers were conducted to elucidate and enhance the findings of bibliometric analyses, identify research gaps, and guide future research development.