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For the development of green magnetic-based immunoassay devices, the rapid and reliable assay method of eco-friendly magnetic labels with a lower energy requirement is vital. This work proposes a green-synthesized Fe3O4@Ag magnetic label assay system using GMR chips and a simple microcontroller-based data acquisition tool. Optical analysis shows the successful synthesis of Fe3O4@Ag with the assistance of Moringa oleifera (MO) extract as a reducing and stabilizing agent. Meanwhile, according to characterization, MO-assisted green-synthesized Fe3O4@Ag nanocomposites feature cubic inverse spinel structures and ferromagnetic characteristics that possess multi-domain structures. The sensor system generates an intense signal, varying from tens to hundreds of millivolts, allowing for its detection using a simple microcontroller system. The sensor exhibits a stable and reliable response to the increase in the concentration of Fe3O4@Ag nanocomposite, even though it is subjected to weak magnetic field induction. Furthermore, the introduction of Ag on the surface of Fe3O4 nanoparticles succeeded in optimizing the detection features, as evidenced by the lower limit of detection compared to detecting the bare Fe3O4. The GMR-based sensor, featuring a simple microcontroller structure and an eco-friendly Fe3O4@Ag nanocomposite as a magnetic label, exhibits significant potential as a rapid and reliable green biosensor that is power-efficient. [ABSTRACT FROM AUTHOR]

This critical commentary focuses on the research in Event Management on economic sustainability and events. We begin with a broad definition of an economically sustainable event that builds on economic impact to include social equity, livability, and community well-being, and accounts for environmental and social costs. We consider the methods, approaches, and types of events represented in the journal that lack diversity. The findings indicate that quantitative approaches predominate, focused on the direct and indirect contributions of visitor expenditure. Social, natural, and community capital have received less attention. The review calls for greater consideration of the economic sustainability of events beyond the tourism contribution; longitudinal studies on the impacts of events on the economic well-being of communities; understanding how events impact equity; correcting research bias towards Western developed economies by examining different contexts; exploring multiple event types; and investigating the role of planning in realizing economically sustainable events. [ABSTRACT FROM AUTHOR]

Copyright of African Journal of Reproductive Health is the property of Women's Health & Action Research Centre and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Society's interest in AI/Big Data: that governments, companies, and NGOs can invest in the development of the world and obtain a successful realization of the policy of CSR & SDG. discussed in this paper is to show how governments, businesses, and NGOs can prove that they are ready to make a difference and join the global commitment to building an integrated and sustainable community that will leverage this unique opportunity to promote the common social interest by utilizing such a promising and complex technology as artificial intelligence. Consequently, the current paper integrates a range of cases. It utilizes a mixed-methods design, establishing that restricted access to resources, primarily relating to education, health, and the economic status that can be traced to marginalization dimensions, determines increased suffering because of the pandemic. These recommendations amalgamate to perform the roles of the diverse sectors to assure that AI benefits all the stages of society by promoting the equity steps of welfare. The study applies a contingency framework, and from the framework, the study develops a plan for how best to approach inclusive innovation to mitigate inequalities, which in turn suggests that societal and environmental objectives should be integrated into the observed innovation to take sustainable development principles. The research contributes to how society can employ the prospects in AI to solve societal problems, notating that such employment of the advantage in AI must incite professionalism and incorporation of society in the design of the measures. On this basis, this study contributes to the theoretical development and the practical recommendations related to using potential AI capabilities to build long-term opportunities for firms and governments to support the sustainable development of the world economy based on achieving the goals set in the UN 2030 agenda. This piece seeks to analyze the events, achievements, and barriers that culminated in the formation of this new week and lays down directions on how the strategy that focuses on inclusive innovation can be implemented. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to propose a model for integrating microgames in teaching primary Education for Sustainable Development (ESD) and illustrate the application of the proposed model in teaching integrated mathematics, arts, technology and language in primary ESD. Design/methodology/approach: The model was based on conceptual mapping from the reviewed literature and reflection from their teaching experience. Findings: The model and the related teaching-learning activities have been proposed. Originality/value: The proposed model enhances the use of microgames in an interdisciplinary teaching framework. [ABSTRACT FROM AUTHOR]

This contribution proposes a fourth paradigm for twenty-first century careers adopting a sustainable development framework. First the evolution of the career development field through three paradigms (individual differences, individual development, life design) of career science and practice is offered. Then sustainable development as a fourth paradigm is introduced considering two pillars, Sustainability Science including contributions from the psychology of sustainability and sustainable development, and Human Security Psychology. Enhancing the well-being of individuals and environments, the fourth paradigm asks for redefining sustainable careers, career intervention, and skills for career counselors. Decent work, decent lives and healthy lives issues are included. [ABSTRACT FROM AUTHOR]

Sustainable Livelihoods are more adaptable than precarious jobs, for career development through Decent Work. An essential element for Career Sustainability is Climate action, that includes Just Transitions from carbon-intensive to carbon-neutral or regenerative work. This paper analyses a municipal transition from coal-mining to a more carbon-neutral, city economy, which has foregrounded just transition for miners, and improved the wider ecosystem. The Polish city of Katowice in Poland illustrates how work and career structures, in this case municipal, can work for people in everyday life and their future careers. The case may also serve as a lighthouse project for future just transitions, as part of sustainable career development, by greening economies and supporting access to decent work for all. [ABSTRACT FROM AUTHOR]

Covid-19, Artificial Intelligence (AI), and Climate Change, have disrupted work education, rendering sustainability of careers and livelihoods a concern. This paper outlines a collaborative response to that challenge, offering opportunities for sustainable livelihoods in a work education cloud collaboration, Project SLiC (Sustainable Livelihoods Collaboration). We have joined forces across nation states in the Global South/North to share cloud resources, focused on teaching a postgraduate course, Sustainable Livelihoods. Online modules are stored in a secure cloud site, from which local courses draw-down, autochthonously, whichever resources fit workforce development in context. We outline modules, and an evaluative process, in a proof-of-concept trial. Finally, we envisage how this initial collaboration may morph into a whole degree, including research supervision. We close with a call to career development professionals to share their unique expertise and experiences at the work education frontline, on how to develop this sustainable careers project, for the greater good. [ABSTRACT FROM AUTHOR]

The United Nation's Sustainable Development Goal 8 (SDG8) emphasizes decent work and the need to generate employment for vulnerable groups such as women, youth, and low-income rural and urban residents. Though extended retirement age policies to sustain workforce productivity are promulgated across OECD states, within SDG8 there is no evident focus on older citizens' need for decent work. We believe this goal lacks detail in addressing the specific needs of older and post-retirement workers and their equal vulnerability to inadequate decent work conditions, economic strain, and diminished well-being. We expand on this issue with particular focus on this older cohort's predictors and attainment of decent work and proffer the psychology of working theory as a foundation to redress the inadequacy of SDG8 and formulate recommendations for policy and research to recognize the needs of older and post-retirement workers. This approach is aligned with the Psychology of Sustainability and Sustainable Development framework in a lifelong perspective. [ABSTRACT FROM AUTHOR]

In the context of a low-carbon economy, it is crucial to integrate environmentally friendly and intelligent designs into fitness facilities to ensure sustainable economic, environmental, and energy development. However, traditional fitness facilities face challenges in effectively monitoring user movements, conserving energy, and optimizing efficiency. The need to conserve energy and reduce resource costs in a low-carbon economy calls for the development of efficient algorithms that can maintain accuracy while minimizing computation and energy consumption. This study proposes a method that combines machine learning and computer vision techniques to enhance monitoring accuracy while minimizing computation and energy consumption. The ResNet-50 model is utilized to extract image features associated with human movements, while real-time object detection and tracking are performed using the YOLOv5 model. Experimental evaluations are conducted on a dataset comprising multiple action categories, and the results demonstrate the excellent performance and model efficiency of the proposed method. Specifically, on the KU-HAR dataset, the proposed algorithm achieves a reduction of over 46.8% in inference time and more than 45.9% in FLOPs, while improving the MAPE by more than 42.8%. These advancements significantly enhance the accuracy and robustness of human motion recognition, highlighting the importance of this approach in the green transformation and intelligent design of fitness facilities. • The proposed approach combines various deep learning algorithms, for better recognition of action. • Focuses on effectively monitoring user movements, conserving energy, and improving equipment efficiency. • Experimental evaluations demonstrate the exceptional performance and model efficiency. [ABSTRACT FROM AUTHOR]

This study examines how tourists' emotional intelligence (EI) influences tourists' environmentally responsible behaviour (ERB). Moreover, this study also proposes a more parsimonious scale to measure EI. The analysis of 395 responses revealed a 16-item (instead of 33-item) EI scale – where four dimensions appeared. The findings show the relationships of those dimensions of EI with the dimensions of ERB. Perception of emotion relating to self positively influences civil, physical and persuasive action but not financial action whereas perception of emotion relating to others positively influences only civil and persuasive action. The impact of other tourists' EI dimensions on tourists' ERB is also divergent. These findings leverage literature by offering a parsimonious EI scale and by exploring the relationships between tourists' EI and the dimensions of tourists' ERB, which suggest tourism providers for reinforcing specific EI dimensions to promote tourists' ERB. [ABSTRACT FROM AUTHOR]

[Display omitted] • China's technological sector is linked to environmental sustainability. • This analysis confirmed the existence of an inverted N-shaped EKC in China. • Urbanization contributes to reducing SO 2 emissions in China. • This study employed the CS-ARDL and D-H causality tests. China's rapid technological advancement and the growth of its tech sector have raised concerns about their impact on environmental sustainability. The current analysis aims to contribute to the existing literature by offering a fresh perspective on China's environmental sustainability, as the existing literature tends to overlook the role of the size of the technological market, which is closely connected with several Sustainable Development Goals (SDGs)—SDG 7, SDG 9, SDG 11, SDG 12 and SDG 13. China can make significant strides towards achieving these goals by harnessing the potential of the technological market and aligning it with environmental sustainability objectives. This study also investigates the roles of urbanization and economic growth and examines the existence of the inverted N-shaped Environmental Kuznets Curve hypothesis in 31 Chinese provinces from 2004 to 2021. Robust tests are employed to analyse the data, including the Cointegrated Structural Auto Regressive Distributed Lag approach (CS-ARDL) and the Augmented Mean Group(AMG) method. The results indicate that economic growth, urbanization, and the size of the technological market can reduce SO 2 emissions, demonstrating a positive environmental impact through China's inverted N-shaped Environmental Kuznets Curve. Additionally, the Dumitrescu-Hurlin Granger causality test showed evidence of bidirectional causality between the size of the technological market and SO 2 emissions. Based on the findings, the study proposes sustainable development policies for China, in line with the SDG targets. In this context, the country's rapid economic growth and strategies for industrial competitiveness need reassessment. The objective should be to redesign these strategies to increase the proportion of high-tech activities in overall manufacturing and promote the adoption of renewable energy in the country's total energy consumption. Consequently, Chinese policymakers should prioritize the implementation of regulations that uphold fundamental principles to enhance environmental quality while maintaining rapid economic growth and a competitive advantage in the industrial sector. [ABSTRACT FROM AUTHOR]

Purpose: The current booming development of smart cities poses new requirements and challenges for their internal infrastructure development. This article aims to explore the questions of: What is the level of social sustainability of smart city infrastructure today? and What are the core contents and paths to improve this level? Design/methodology/approach: With the theme of public participation in the social sustainability evaluation of smart city infrastructure in the context of big data, this study mainly makes a systematic literature review of the Web of Science's Science Citation Index Expanded and Social Sciences Citation Index databases. After collection and screening, 199 documents were finally obtained. Findings: It is found that the level of social sustainability of smart city infrastructure is still low, and public participation can provide solutions to the difficulties and challenges involved in its development, while big data technology can broaden the channels for public participation and promote the development of smart city-related components in the process, including smart city infrastructure. Originality/value: This article summarizes the internal mechanisms of smart cities at the theoretical level and analyzes the social sustainable development of smart city infrastructure. In practice, the shortcomings in this field are identified and suggestions are provided on how to carry out digital public participation, which has practical reference value. [ABSTRACT FROM AUTHOR]

Copyright of Studies in Conservation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Studies in Conservation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Labour costs are a fundamental component of production expenses, significantly impacting both the quantity and quality of output. This study explores the determinants of labour costs within EU member states that have implemented minimum wage policies over the past two decades. The research technique includes a comprehensive panel analysis of EU member states to identify significant variables influencing labour costs, as well as cluster analysis to discover underlying patterns across the nations under examination. Our findings reveal that higher minimum wage levels, higher employment rates, increased labour productivity, and greater trade openness are positively correlated with higher labour costs. Specifically, increases in these variables lead to higher wages and a broader tax base, while greater trade openness results in elevated labour costs due to expanded market opportunities. Conversely, gross fixed capital formation negatively affects labour costs, as investments in production assets tend to reduce labour requirements or hours worked. The cluster analysis led to the identification of three distinct groups. The first cluster consists of well-developed economies with modest labour cost increases and average minimum wages. The second cluster includes countries with substantial labour cost increases, low minimum wages, and significant productivity gains. The third cluster features nations with high minimum wages and high employment rates. This paper contributes to the field by highlighting the complex interplay between labour costs and economic factors, offering insights for decision-makers to tailor macroeconomic and company-level strategies to specific local conditions. The findings emphasise the importance of balancing wage policies with sustainable economic development to enhance competitiveness while ensuring fair labour conditions. [ABSTRACT FROM AUTHOR]

The growing importance of sustainable energy sources, driven by environmental concerns and energy security, has led to increased interest in the biomass sector's impact on economic growth. This study employs multiple linear regression analysis to examine how the biomass sector influences Romania's economic landscape. The aim of this research is to unravel the sector's dynamics, understanding its contribution to the national economy, and exploring its potential in advancing sustainable development objectives. A comprehensive literature review delves into past studies probing the relationship between the biomass sector and economic growth, with an emphasis on the Romanian context. Key economic indicators and variables are identified and included in the regression model. The empirical analysis is based on data obtained from various sources, allowing for a robust examination, and the results of the multiple linear regression analysis reveal significant insights into the dynamics of the biomass sector's impact on economic growth in Romania. Furthermore, potential confounding factors are considered, and their influence on the findings is discussed. The paper also includes a stakeholder analysis for using black pellets as the biomass option of choice in the energy sector. Contributing to existing knowledge, the research sheds light on Romania's biomass sector specific context, while discussing practical and policy implications, and offering guidance to stakeholders and policymakers in sustainable energy and economic development. Emphasising the pivotal role of biomass in economic growth, the study underscores the need for informed decision making and policy development to nurture this sector in Romania. [ABSTRACT FROM AUTHOR]

The United Nations Sustainable Development Goals (SDGs) outline a global agenda for sustainable development, but need more detailed implementation guidelines for businesses, particularly Small and Medium Enterprises (SMEs). Given their limited resources, SMEs face significant challenges in adopting sustainability practices aligned with the SDGs. This study explores the potential of ChatGPT, a large language model, to assist SMEs in overcoming these challenges. The research introduces a ChatGPT-aided framework through a novel methodological approach to help SMEs develop sustainability roadmaps, engage stakeholders, and identify key sustainability goals, risks, opportunities, and Key Process Indicators (KPIs). The case study of an SME in the electronic measurement equipment industry is used to validate the framework. The findings, corroborated by a Focus Group with the participation of academics and SME top managers, demonstrate the framework's potential to enhance SME sustainability practices, contributing to academic discourse and offering practical insights that will inform and empower industry stakeholders. Furthermore, several actions are presented to respond to concerns about the accuracy and reliability of AI-generated recommendations. Finally, future research should seek to validate the proposed framework across a broader range of industries and SME contexts and assess this methodology's application with organisations other than SMEs. [ABSTRACT FROM AUTHOR]

This research examines the impact of adopting green strategies on developing Eco-friendly products, focusing on how to improve environmental performance and enhance innovation and quality in the industrial sector. In light of the increasing environmental challenges, green strategies represent the cornerstone for achieving sustainable development and balancing environmental and economic goals. The study aimed to identify the nature of the correlation and influence between green strategy and developing Eco-friendly products. The research problem arises in answering the question: Is there a role for adopting a green strategy in developing Eco-friendly products? The General Company for Textile and Leather Industries, one of the formations of the Ministry of Industry and Minerals, was selected to implement the research. The questionnaire form was adopted as a tool for collecting data and the descriptive analytical approach was used to analyze the answers of the sample members--the research sample comprised managers, officials and decision-makers in the company and its various factories. The probability sampling method was used randomly and data was collected from (117) managers. The data was analyzed using the SPSS v.26 statistical analysis program. Some appropriate statistical tools were used to analyze the data in order to reach the results. The research results showed that there is a relationship of influence and correlation between the green strategy and the development of environmentally friendly products. The results also showed that the shift towards green strategies leads to achieving noticeable environmental and economic benefits, despite the high initial costs and challenges associated with supply chain management and compliance with environmental regulations. However, the company will have new opportunities in the market, improve its commercial reputation, enhance its social responsibility, and gain the attention of customers. [ABSTRACT FROM AUTHOR]

Homelessness is one of the most challenging social problems to solve, and it is the focus of interest not only for individual states and local governments but also for transnational institutions dealing with sustainable development. It affects diverse groups of people, has different causes and consequences, and therefore requires ideally compre- hensive and tailor-made interventions implemented by professionals. This article aims to identify the deficits of the homelessness policy in the Czech Republic and proposals for their solution through “the Framework of problematic areas of homelessness” created by us and to evaluate the comprehensiveness and adequacy of coverage of all potential problem areas of homelessness by these proposals. We assume that only comprehensive and indivi- dualised interventions towards homeless people will alleviate or completely resolve their problems and increase the likelihood of their reintegration into mainstream society. [ABSTRACT FROM AUTHOR]

The construction of shiology system is the premise for comprehensively solving the issues of human shiance. The core of the construction of the shiology system is to reveal the inclusion and juxtaposition of relationships within shiance based on a comprehensive understanding of human shiance issues. The shiology system discussed in this paper is a four-level discipline system with the basic structure of shiology triangle composed of eaters' demands, food acquisition and shiance order, and it is currently in the form of "1-3-13-36". From a longitudinal point of view, 53 inclusion relationships are established among disciplines at all levels. Horizontally, 53 juxtapositions are established between disciplines at the same level. The shiology system is bounded by human shiance issues, not involving non-shiance issues areas. Human cognition of shiance and shiance issues must go through three historical stages as fragmented cognition, block-based cognition and holistic cognition. The construction of the shiology system marks that humans have entered the stage of "holistic cognition" of shiance. As the Chinese proverb goes, "food is the paramount necessity of the people". Shiology system interprets its connotation and extension. To solve shiance issues holistically, it need to ensure food security, enable people to eat healthy, and foster an enduring and stable society. And shiology system is a global public product which comprehensively solves shiance issues. [ABSTRACT FROM AUTHOR]

Considering the structural similarities between STEM education and architectural education, it is thought that architectural education, which has a deep-rooted history, may be useful for improving STEM education. This research was planned to gain useful inferences for STEM education by trying to get to know architectural education. In this study, ethnographic field research method was used. During the four-week observations, students made presentations with projects, models and plan drawings. In this process, teachers' criticisms and students' defenses were analyzed through the data table. By discussing the identified elements of architectural education, at least six innovations and/or meaningful results were revealed in the context of STEM education. These are: i-Students should be given the opportunity to solve open-ended problems on their own and should be encouraged to learn through trial and error in this process. ii-Students should be highly motivated when dealing with open-ended problems, for example, STEM project courses should be turned into graduation qualifications. iii-The importance of real-life context in STEM education should be emphasized and problems should be a part of life; In this context, sustainability and economic value dimensions should be highlighted. iv- At secondary and primary school levels, children should be encouraged to learn by experiencing and manipulating materials in the context of problems. v- Courses that will improve technical drawing skills should be added to STEM education programs. vi- In STEM disciplines, teachers should ensure theory/practice balance at the undergraduate level, and evaluations in applied projects should be made by a jury system. [ABSTRACT FROM AUTHOR]

The objective of this paper was to evaluate the perception and adoption of environmental management system in small and medium enterprises in the manufacturing sector in Lagos and Ogun States, Southwestern Nigeria using appropriate standard techniques. The paper posits that environmental management literacy and advocacy should be carried out in SMEs. Environmental management practices involve engaging both industries and product end-users in sustainable practices. The paper concludes that the implementation of environmental management practices and culture by SMEs will abate environmental pollution and its concomitant health risks to humans, the environment, flora, and fauna. Mandatory and voluntary environmental measures 3 are suggested as a means of engendering eco-friendly innovation for sustainable development, triggering employment, job security, and gross domestic product. [ABSTRACT FROM AUTHOR]

High-density developments are widely claimed to make an important contribution to achieving sustainable growth of cities in developed countries. The 'compact city' model is claimed to be a suitable model for such cities. How far the high-density compact city model is relevant for sustainable urban growth in cities in developing countries which already have higher densities than those in developed countries is as yet unknown. This paper contributes to this theoretical debate with empirical evidence from eleven neighbourhoods of varying densities and built form patterns within the Mumbai Metropolitan Region in India. In so doing, the critical aspects of social, economic and environmental sustainability as well as both physical and perceived dimensions of densities are discussed within the particular context of Mumbai. Evidence from this research suggests that higher densities and compact developments do have potential to achieve sustainable development in rapidly growing cities in developing countries. [ABSTRACT FROM AUTHOR]

In recent years, the integration of corporate, environmental and social factors into the management of business has been intensively promoted. Our paper focuses on the quality of the sustainability reports (SR) of state-owned enterprises (SOEs). The methodological approach is based on the framework for content analysis provided by Global Reporting Initiative (GRI) standards and Sustainable Development Goals (SDGs) disclosure in non-financial/SR, using the translation table for linking SDGs and GRI Standards to evaluate the status of SDG compliance. The results reveal that companies in both countries generally report most intensively in the economic segment, as far as GRI standards and SDGs are concerned, exposing the economic value in the Benington (2011) theoretical model. Comparatively, Slovenian SOEs' SRs disclose on average a lower percentage of GRI standards in all four segments (general, economic, environmental, and social) than Austrian SOEs, while more than 70% of SDG 4 is reported in Slovenia. [ABSTRACT FROM AUTHOR]

This editorial introduces the special issue arising from the "11th International Conference on Communities and Technologies - Humanisation of Digital Technologies". It sets the stage for a series of papers that illustrate a shift from technology-centred to human-centred approaches in the development of digital technologies. The editorial highlights the central theme of the conference, emphasising the integration of human needs and values to enhance societal well-being and environmental sustainability. It outlines the overarching goals of humanising digital technologies, discusses the significance of each of the included papers in advancing these goals, and emphasises the importance of ethical considerations and user-centred design. This issue demonstrates practical approaches to embedding human values at the core of technological innovation, ensuring that digital technologies serve societal needs and support inclusive and sustainable development. [ABSTRACT FROM AUTHOR]

Green mergers and acquisitions (GM&A) are pivotal for attaining green competitive advantages and fostering sustainable development. This study exploits data from Chinese publicly traded companies spanning 2010–2021 to examine the impact of GM&A on corporate environmental responsibility (CER). Utilizing a difference-in-differences design, the results document that GM&A significantly enhances firms' environmental responsibility. This conclusion remains robust after a comprehensive set of checks. GM&A spurs green technology innovation, eases financial constraints, and elevates corporate environmental awareness, thus mitigating environmental pollution. Additionally, the positive impact of GM&A on CER is particularly pronounced in regions with high market liberalization and firms with substantial social capital. These findings offer valuable insights for policymakers crafting GM&A policies to raise environmental quality and contribute to the literature on the relationship between GM&A and CER. [ABSTRACT FROM AUTHOR]

Green development is the inevitable requirement of high-quality development in the resource-based regions, and it is also the fundamental guarantee for realizing environmental sustainability in the resource-based regions. Based on the panel data of 242 cities in China from 2006 to 2019, this paper explores whether mineral resource abundance is a blessing or a curse for carbon emission intensity and whether fiscal policy plays an intermediary role. We draw the following conclusions: (1) The overall performance of mineral resources is a carbon curse effect, because the carbon curse effect of mineral resources is greater than the carbon blessing effect. (2) Mechanism analysis reveals that the decrease in fiscal pressure and the increase in fiscal dependence are the formation paths of carbon blessing and carbon curse, respectively. (3) Heterogeneity analysis shows that the occurrence and intensity of the carbon curse are related to the level of local foreign investment, government intervention, and industrial diversification. The research results explain the supplementary motivation of government quality and provide Chinese evidence for the transformation and upgrading of resource-based regions. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) plays a significant role in realizing sustainable economic development. This paper uses the textual content of annual reports of listed companies to count 73 words frequencies related to AI and construct AI indicators through precise vocabulary. It also examines how AI affects environment, social, and governance (ESG) performance at the firm level using unbalanced panel data of Chinese listed firms from 2007 to 2022. The results indicate that the development of artificial intelligence has significantly improved the ESG performance of Chinese listed companies, and the conclusion still holds after a series of robustness tests. As a moderating variable, macroeconomic policy uncertainty reinforces the positive impact of AI on ESG performance. In terms of the impact mechanism, AI enhances firms' ESG performance by increasing firms' total factor productivity and R&D expenditures. The results of heterogeneity analysis show that AI has a significant positive impact on the ESG performance of non-state-owned firms, firms with executives without overseas backgrounds, and technology and capital-intensive firms. Compared with the western region, AI in the eastern and central regions has a more significant improvement effect on ESG performance. Our study deepens the knowledge and understanding of the role played by AI in the green development process at the micro level. It provides valuable suggestions and reflections for promoting AI development at the micro-enterprise level. [ABSTRACT FROM AUTHOR]

Government intervention in industrial development is prevalent across both developed and developing nations. This paper evaluates the efficacy of Chinese government intervention in high-tech industries in fostering economic development. Methodologically, we assess government intervention's effectiveness by examining the heterogeneity of agglomeration effects in high-tech industries across various locations before and after policy interventions. Our study reveals several key findings: (1) Overall, high-tech industry agglomeration yields positive intra-industry and local spillover effects. (2) Agglomeration effects exhibit significant spatial and temporal variations. Before 2013, government intervention was limited, and high-tech industries predominantly clustered in the eastern region due to market forces, resulting in significantly positive agglomeration effects. However, post-2013, government intervention became evident, particularly driven by competitive dynamics in less-developed regions and central government support for these areas. Consequently, high-tech industries in these regions generated positive intra-industry and local spillover effects, leading to a shift in the distribution of high-tech industry hubs towards the central and western regions. Nonetheless, agglomeration effects diminished in these regions, signaling distortions. (3) Not all high-tech industries exert positive impacts; for instance, the ICT manufacturing sector, characterized by general technology, demonstrates the most pronounced effects, whereas the aerospace manufacturing industry shows relatively weaker agglomeration effects. (4) High-tech industries primarily enhance industrial profitability by refining intermediate inputs and foster local total factor productivity and green total factor productivity through knowledge spillovers. Consequently, policy interventions should aim to effectively facilitate intermediary mechanisms. These findings offer valuable insights into how governments can judiciously intervene in high-tech industries to promote sustainable economic development. [ABSTRACT FROM AUTHOR]

Integrating the digital economy into the real economy (thereafter referred to as digital-real integration) is one of the important ways to promote the efficiency improvement of green development. We adopt the panel data of 30 provinces and cities in China (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2011 to 2021 as the basis of our study. We also use the coupled coordination model to measure the level of digital-real integration in each region. Then, we set up a spatio-temporal geographically weighted regression model to examine the spatio-temporal distribution pattern and the specific mechanism of its impact on the efficiency of regional green development. Our study finds that the vast majority of provinces in the country are in the coupling and coordination state on the verge of dysfunction and mild dysfunction. Moreover, coordinating with the development speed of the digital economy to reach the state of dynamic interconnection and constraints is difficult for the real economy. Second, the level of digital-real integration can contribute to the improvement of green development efficiency, and that in Xinjiang and Qinghai is lower than in other provinces. Further in terms of spatial distribution, the digital-real integration in the Yangtze River Delta region (Shanghai, Jiangsu, Zhejiang, Anhui) and Fujian Provinces during the 11-year period obviously promotes the efficiency of green development. Finally, through the mechanism analysis, the digital-real integration development can be found to promote the improvement of green development efficiency via three channels: industrial structure rationalization, factor market development degree, and government intervention. Findings of this paper provide some basis and reference for better promoting the digital-real integration and then realizing the long-term sustainable development of the region. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to shed light on the gender equality in Kosovo. The data shows that there is a very high gender inequality in Kosovo in all aspects of the life. The main reasons for gender inequality in Kosovo are linked to gender stereotypes and patriarchal culture in society and the economy, unequal distribution of family responsibilities, lack of available and affordable childcare responsibilities and also low education levels among women. Although many measures have been taken to reduce gender inequality and empower women in Kosovo, however women empowerment in Kosovo is by far the lowest among the Western Balkan 6 and EU economies with a score of 25.4 out of 100, placing it last in the Women Empowerment Index (ranking in the last 33 th place). The study also contains proposed measures to reduce gender inequality in Kosovo and promote economic empowerment of women. [ABSTRACT FROM AUTHOR]

The deepening of crises and pandemics, the growth of armed conflicts actualize the ability of business to adapt to these changes, as well as the repurposing of industries in accordance with the goals of sustainable development. Industry 4.0 also creates a business environment based on innovation and adaptability to change. The lack of conflict identification in business leads to the creation of the wrong strategy and tools, losses and unprofitability. The article presents the results of a comparative analysis of the business models transformation for enterprises from different industries in the context of achieving sustainable development. The aim of the study is to identify factors that change the key elements of the business models under the influence of Covid-19 and Industry 4.0, as well as to adapt to meet the conditions of the sustainable development triangle. In the process of describing business models of enterprises, the authors proposed an approach based on the concept of sustainable development. Characterization of individual transformations of business models is based on the results of generalization of enterprises performance indicators by five sectors of the economy according to GICS. This allows for international comparability of research results. The authors found that business models of enterprises were transformed under the influence of COVID-19 and Industry 4.0. The analysis of CANVAS models allowed to identify the main transformational changes: an open system with multiple inputs and outputs, an interactive-innovative environment, a customer-oriented approach with a focus on millennials, the formation of a full range of End-to-End solutions in three areas (Operations, Solutions Delivery, Innovations). The authors confirmed the hypothesis that the business models of enterprises in the consumer and energy sectors have not adapted to the negative impact of COVID-19 and are difficult to adapt to Industry 4.0. Enterprises in other sectors of the economy have adapted to change and transformed their own business models as a result of the impact of COVID-19 and Industry 4.0. [ABSTRACT FROM AUTHOR]

Gender inequality generates negative consequences for the economy, social sphere, and often the environment at the level of individual countries and the world. In this way, inequality creates a gender gap. The issue of reducing the gender gap was highlighted in the Sustainable Development Goals and drew scientists' attention from various fields and international organizations to a multifaceted study of the gender gap phenomenon at different levels. The article analyzes available indicators that measure the gender gap and the conducted earlier research on the factors that influence gender equality. We chose the Global Gender Gap Index. We found a statistically significant impact on the gender gap: the share of women in the total population, the level of achievement of the Sustainable Development Goals, the level of democracy, and GNI per capita. Thus, by accelerating the achievement of sustainable development goals and implementing democratic reforms, countries are reducing the gender gap in society. Our study did not confirm the statistically significant inverse relationship between fertility rates and the gender gap, which was previously established based on incomplete statistical information. Also, the gender gap is not affected by the country's population growth or by the country's belonging to one of the four groups by per capita income. The impact of migration processes on gender equality requires an in-depth and additional analysis based on data showing the impact of migration movements influenced by the war between Russia and Ukraine. [ABSTRACT FROM AUTHOR]

This review aims to illustrate the status and distribution of African elephant in Eastern Africa. The source of data for this review was secondary data including published articles, books, Master theses, PhD dissertations and unpublished literatures. The African elephant (Loxodonta africana) is the largest living terrestrial mammal on the earth and perhaps one of the most intelligent. They are present in 50 countries, 13 of which are in Asia and 37 in Africa. The total estimation of elephant in Africa is 472,269, with 29.1% in the Eastern Africa. In recent report, African elephant in South Africa holds approximately 42%, followed by Eastern Africa with 28%, Central Africa with 25%, and West Africa with 5%. As a result of illegal hunting, African elephant in Eastern Africa declined by 62 percent from 2006 to 2013. Largely attributed decrease in Tanzania. However, the number of African elephants in south Sudan has been increase but there is no longer a resident elephant in Somalia. To sustain African elephant, first and foremost requirement is identifying and assessing its population status and distribution across targeted areas. Therefore, this review is important to realize sustainable management approaches for African elephant in Eastern Africa by understanding their status and distribution. [ABSTRACT FROM AUTHOR]

The use of supplemental light has been proven to be effective in growing plants in controlled environments. These light sources have been proven effective in influencing both, developmental and phytochemical pathways. Among artificial/supplemental lights, light emitting diodes (LEDs) offer several advantages and unique properties. Consequently, the use of this novel technology has gained popularity in indoor plant cultivation. In this review, recent achievements and progress related to the preharvest application of LED technology are discussed, starting from the selection of appropriate LED wavelengths to varying photoperiod to enhance crop growth, yield, and phytochemical concentrations. The review further summarises the recent developments in the use of LED technology for cultivating crops hydroponically and the economic implications of LED usage is briefly discussed. Lastly, the future prospects and research directions are presented. [ABSTRACT FROM AUTHOR]

The article scrutinizes the dynamic interplay between theory and practice in EU competition policy. Through an in-depth analysis of theoretical and empirical insights, the article evaluates the impact of antitrust measures, merger control, and sector-specific regulations on EU flagship initiatives and economic growth. Emphasizing the pivotal role of competition policy in the single market, it calls for heightened theoretical underpinnings to enhance policy efficacy. As the article unfolds against the backdrop of the COVID-19 pandemic, it underscores the policy's adaptability to new strategic priorities, advocating for innovation, resilience, and sustainable development. The analysis reveals that while the European Union's competition policy has contributed to market efficiency and economic growth, challenges persist, particularly in addressing weak competition in certain sectors and adapting to evolving global economic dynamics. [ABSTRACT FROM AUTHOR]

This paper provides an overview of literature on the multiple-time recycling of concrete waste and meticulously analyzes the research findings. The paper begins by reviewing the characteristics of recycled materials such as recycled coarse aggregate, recycled fine aggregate, and recycled powder obtained from concrete waste in relation to the recycling cycle. The influence of each of these materials on the mechanical properties and durability of next-generation concrete is analyzed. Moreover, this paper introduces strategies reported in the literature that aim to enhance the performance of multi-recycled concrete. Lastly, this paper identifies and highlights limitations and research gaps, while providing insightful recommendations to drive future exploration of multi-recycling of concrete.Highlight: Literature review on multi-recycling of concrete waste. Summary of effects of multi-recycling on properties of recycled materials/products. Review of strengthening methods for multi-recycled concrete. Identifying research gaps and proposing directions for future studies. [ABSTRACT FROM AUTHOR]

The author's algorithm for risk assessment in the development of roadmaps for state transformation projects, tested on the case of the development of wholesale food markets, is presented. The author's algorithm includes a formalized description of the 8 main stages of the study and uses both classical risk assessment methods and adapted FMEA analysis tools, mathematical statistics methods used to specify the algorithm, taking into account the need to involve experts in the assessment process. The results of the approbation of the methodology, based on the opinions of 120 experts, are attached. The main risks and ways of their mitigation, developed by the expert group during the analysis of the plan for the state transformation of wholesale food markets in terms of consumer cooperation, are revealed. [ABSTRACT FROM AUTHOR]

Quality education for all is a key goal among the 17 sustainable development goals (SDGs), directly tied to SDG Goal 4, with an emphasis on quality education, equity, and the promotion of lifelong learning opportunities. Based on UNESCO's "3P" model of people, process, and place, this study expands the understanding of quality education from the perspective of student happiness. The purpose of this study is to answer the question of whether the factors that contribute to university students' happiness are similar to the 3P model. Are there any additional 3P model characteristics that are particularly interesting to college students, beyond those included in the 3P model? By conducting in-depth interviews with students, the study explores and tests these hypotheses, contributing additional elements to the 3P model. Afterward, the quantitative results also contribute to validating the research by expanding the survey scope to 169 students. These findings led to a 3P plus framework adapted for college students. The study does not only provide empirical insight into the components of well-being in schools but also proposes a model that can inform educational practices and policies that promote student happiness. [ABSTRACT FROM AUTHOR]

One of the 21st-century skills that students must possess is critical thinking. An instrument is needed to assess the level of success in developing students' critical thinking abilities. The contribution of this research is the development of numeracy problems based on Education for Sustainable Development (ESD) that can measure students' critical thinking abilities. This research is quantitative, with analysis using Ministep software and involving 75 students as research subjects. Numeracy problems were developed using the 3-D model with the stages of define, design, and develop. The results of this study indicate that the 15 developed numeracy problems are valid as they meet at least one criterion of validity and reliability, with an item reliability value of 0.96. This suggests that the instrument can effectively measure critical thinking skills, cover a diverse range of difficulty levels, and ensure that the formulated questions are suitable for measuring and assessing various student abilities. These results indicate that the ESD-based numeracy problems developed can be used as reference material in similar research or studies related to the analysis of students' critical thinking abilities in solving ESD-based numeracy problems. [ABSTRACT FROM AUTHOR]

[Display omitted] • Impact of artificial intelligence development on water pollution is analysed. • Artificial intelligence technologies can help reduce levels of water pollution. • Conditions in central China need examining to formulate a targeted development plan. • Results remain valid after instrumental variables regression and robustness test. Analysing the impacts of AI development on water pollution is of great significance for improving water environment management measures and promoting global sustainable development. In this study, macro and micro panel data of China from 2008 to 2019 were used to measure the development level of AI at the industry and provincial levels in China, and a panel data regression model was constructed to analyse the effects of AI development on water pollution and regional heterogeneity. The measurement results show that the development level of AI is increasing. Among the six industries, the intelligence level of the manufacturing industry has developed the fastest, by approximately 48.74 times compared with the baseline. At the provincial level, Guangdong Province made the greatest progress in intelligence level, increasing by approximately 23.6 times. The regression results show that AI technology is helpful in reducing the level of water pollution, and this conclusion remains valid after the regression of instrumental variables and robustness testing. In terms of regional heterogeneity, AI technology can significantly reduce the degree of water pollution in eastern and western China. However, the development of AI technology in the central region has no significant impact on water pollution, and a risk of increasing the degree of water pollution exists. The reasons may be that the eastern region has high levels of economic vitality and technological innovation and a strong ability to transform AI achievements, which can significantly improve the water environment. Industrial support policies in the western region are strong, and the application of AI can quickly improve production methods and significantly reduce water pollution levels. In comparison, the levels of economic development, technological innovation, and policy support in the central region need to be strengthened, so the environmental effect of AI is not significant. [ABSTRACT FROM AUTHOR]

The relationship between rural tourism (RT) and sustainable territory development (STD) depends on formal and informal relationships. There is uncertainty in these relationships. Collaborative governance (CG) could explain this relationship and address the influence of RT on STD. This paper aims to understand how CG mediates the relationship between RT and STD. A systematic literature review was carried out using a mixed sequential approach, starting with the definition of the search equation. A total of 324 records were analysed to determine the knowledge map of the relationship between RT, CG and STD. The quantitative approach was the input for the qualitative approach, where 63 documents were selected with the PRISMA methodology and analysed with the Grounded Theory. The main contribution was the construction of a theoretical model that explains how CG mediates the relationship between RT and STD with the capacity for joint action. Networks, endogeneity, and empowerment influence elements in the capacity for joint action, which in turn influences procedural/institutional arrangements, leadership, knowledge, and resources for the environmental, sociocultural, and economic dimensions of STD. This approach is conceptually tentative in nature, and theoretical development is needed with additional research from empirical case studies conducted in diverse scenarios in countries with different regimes. [ABSTRACT FROM AUTHOR]

Sustainability continues to be a key field of study, encapsulating three principal dimensions: social, economic and environmental, which are also found within the context of climate change. However, there appears to be limited literature drawing upon the between sustainability and climate change. relationship, particularly in connection to carbon emissions and energy management. These issues have already been the subject of legislation in different countries, though still, predominantly individually rather than from an integrated perspective. The Climate Change Act (2008) provides a platform through which the relationship between sustainability and climate change can be considered. This paper establishes this relationship aspects of this relationship by employing the increased use of insulation within the UK housing stock to contribute to achieving the carbon reduction set by the Act. Taking a retrospective view through theoretical numerical modelling, this paper demonstrates that CO2 reductions were achievable. The results demonstrate that links can be drawn between sustainability and climate change and identifies that significant CO2 savings, through robust energy management of the UK housing stock, these results can be achieved. It is also suggested that the theoretical mole developed can be reproduced to consider climate change targets and provide benchmarks, not only in the UK but in other countries. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciencias Sociales (13159518) is the property of Revista de Ciencias Sociales de la Universidad del Zulia Venezuela and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Ciencias Sociales (13159518) is the property of Revista de Ciencias Sociales de la Universidad del Zulia Venezuela and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)