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Introduction: The notion of job losses during energy transition phases and their influences on fossil fuel economies have been debated in various aspects. Meanwhile, unemployment and poverty have been critical economic challenges for many developing countries, even the resource-rich countries in the Middle East. Concurrently, no country so far is poverty-free and has not entirely fulfilled Sustainable Development Goals (SDG) Nos. 1 and 8, as many resource-rich countries account for the significant global poverty and unemployment, such as Nigeria, Iraq, Yemen, and Venezuela.

Purpose: The issue of green transition has created new fears for the job market in the fossil fuel economies, where the lives of many people could be mainly affected. This study investigates the macroeconomic challenges of green transition and the macroeconomic consequences that fossil fuel economies will deal with.

Methodology: This study follows content analysis and a desk-search review of job loss during the green transition in the context of fossil fuel economies. In addition, the descriptive analysis is just a clear understanding of the fundamental review of the topic that will lead to another cross-country analysis study based on in-depth knowledge and analysing data.

Findings: The European Green Deal (EGD) will have profound economic, social, and political implications for fossil fuel-dependent economies for various reasons. First, fossil fuel economies are less diversified; the economy depends on a single commodity; the systems must be developed and people must prepare for a quick economic transition.

This study aims to investigate connections between the development of robotic and artificial intelligence (AI) and green crypto investments. The author also explores the influences of global uncertainty shocks like the COVID-19 pandemic and international conflicts on the role of each channel.

In this research, the author uses a cutting-edge model-free connectedness approach to investigate the relationships between the development of Global X Robotics and AI (BOTZ) and the volatility of green crypto investments from November 9, 2017 to March 24, 2023.

In the sample duration, the findings reveal a two-way link between AI and green/nongreen cryptocurrencies. Throughout the examined period, BOTZ has been a net receiver of shocks as determined by the net total connectedness. Among the main spillover shock carriers in the system, green cryptocurrencies are the most significant. The net pairwise directional connectivity reveals that green cryptocurrencies controlled BOTZ throughout the analyzed time, particularly during the COVID-19 era as well as the Ukraine–Russia crisis. According to the findings, the proposed system is vulnerable to a high level of indication influence.

The results have important policy implications for investors and governments, as well as methods from the spillovers across the various indicators and their interconnections. Sharp information on the primary contagions among these indicators aids politicians in designing the most appropriate policies.

To the best of the authors’ knowledge, this paper is the first to look at the link between AI, technological advancement and green cryptocurrency investing. Second, this study developed a methodology for examining instability links between various factors that is more appropriate for investigating these linkages. This study investigates the links between AI, technical advancement and green digital currencies using a cutting-edge model-free connectivity method. This work is also the first to examine the interconnection between volatility derived from AI, technological development and green cryptocurrency investments in light of unknown events, such as the COVID-19 pandemic and the Ukrainian–Russian conflict. Finally, this study includes a daily database from the BOTZ fund, which attempts to invest in firms that stand to gain from rising robotics and AI use. Cardano (ADA), IOTA, NANO (XNO), Stellar Lumens and Tron are examples of green cryptocurrencies, whereas Bitcoin is an example of a nongreen cryptocurrency. These virtual currencies are being used to investigate the relationship between investor mood and green and nongreen digital currencies. The data set spans the period from November 9, 2017 to March 24, 2023.

Prior research finds that firms disclosing a focus on corporate social responsibility (CSR) experience less negative reactions following a corporate misstep. We predict that this “insurance effect” is limited to cases of ordinary failures (i.e., failures not directly related to the social or environmental impacts of the firm) and may provide no protection when a failure is directly related to CSR. Further, we hypothesize a potential “backfire effect,” where investors react more negatively to a CSR-focused firm in the case of a CSR-related failure than to a traditional firm experiencing the same failure. In-keeping with attribution theory and expectancy violations theory, our results support the predicted limitation of the insurance effect. In addition, we find that the limited insurance effect is mediated by reputational assessments. Although directionally consistent, the proposed backfire effect is not statistically significant. Overall, our results suggest that CSR is not a panacea for dampening the penalties associated with business missteps, and managers seeking to benefit from CSR engagement should be diligent in monitoring their firms' future CSR performance.

Sustainable development hinges on a crucial shift to renewable energy, which is essential in the fight against global warming and climate change. This study explores the relationships between artificial intelligence (AI), fuel, green stocks, geopolitical risk, and Ethereum energy consumption (ETH) in an era of rapid technological advancement and growing environmental concerns.

This research stands at the forefront of interdisciplinary research and forges a path toward a comprehensive understanding of the intricate dynamics governing green sustainability investments. These objectives have been fulfilled by implementing the innovative quantile time-frequency connectedness approach in conjunction with geopolitical and climate considerations.

Our findings highlight coal market dominance and Ethereum energy consumption as critical short- and long-term market volatility sources. Additionally, geopolitical risks and Ethereum energy consumption significantly contribute to volatility. Long-term factors are the primary drivers of directional volatility spillover, impacting green stocks and energy assets over extended periods. Additionally, SHapley Additive exPlanations (SHAP) findings corroborate the quantile time-frequency connectedness outcomes.

This study highlights the critical importance of transitioning to sustainable energy sources and embracing digital finance in fostering green sustainability investments, illuminating their roles in shaping market dynamics, influencing geopolitics and ensuring the long-term sustainability required to combat climate change effectively.

The study offers practical sustainability implications by informing green investment choices, strengthening risk management strategies, encouraging interdisciplinary cooperation and fostering digital finance innovations to promote sustainable practices.

The implementation of the quantile time-frequency connectedness approach, in line with considering geopolitical and climate factors, marks the originality of this paper. This approach allows for a dynamic analysis of connectedness across different distribution quantiles, providing a deeper understanding of variable interactions under varying market conditions.

This study aims to explore the development and significance of sustainable finance instruments, mainly sustainable bonds. The purpose is to provide policymakers, regulators and researchers with insights into the current state of sustainable finance research and also provide future research directions.

This study used Scientific Procedures and Rationales for Systematic Literature Reviews as a review protocol and addressed four research questions concerning publication and citation trends, major themes and future research directions in sustainable bonds.

This study indicated growing attention in sustainable bond research, with increasing publication and citation trends. Along with identifying research themes, the findings include future direction on pricing and risk assessment, market dynamics and growth potential, policy and regulatory environments and global perspectives with local context.

Although this study provides a robust analysis of the current literature, it relies on existing publications and may not capture the latest developments in sustainable bond research. However, policymakers can benefit from insights into the growth and dynamics of sustainable bonds, enabling them to implement effective policies and regulations. Investors and businesses can use this research to inform their environmental, social and governance investment strategies and decision-making processes.

This paper suggests a comprehensive overview of the state of research in sustainable bonds, highlighting the emerging trends and research priorities. It also underlines the significance of sustainable finance in achieving sustainability goals and provides a roadmap for future research.

The purpose of this paper is to describe the conversion of the former coal mining site in Kamp-Lintfort into a public park and learning space for biodiversity. In 2020, an urban green space was established, featuring various aquatic and terrestrial habitats and a high level of biological diversity in the city centre with broad community support.

This study presents secondary data of a literature review on participatory management of biodiversity in urban green spaces, with a focus on the sustainability context, participation approaches, theoretical frameworks and the role of education. The example of Zechenpark Kamp-Lintfort (Germany) shows how urban green space development can meet the challenging demands of inner city development while fostering knowledge generation via citizen science and participatory biodiversity management. The study collected primary data on plant biodiversity using a citizen science approach to raise awareness and create opportunities for human–nature interaction.

Sustainable Development Goal (SDG) 11 is the most important development goal in the context of participatory biodiversity management of urban green spaces. Most of the studies have a place-based focus and integration of local knowledge is the main reason for a participatory approach. The findings show how a green learning space can offer opportunities for digital learning as well as participatory biodiversity management in urban areas. The project lead to an increase in local citizens’ awareness of biodiversity. Based on a literature review, this report identifies challenges and opportunities for establishing a green learning space for biodiversity education. The example illustrates that an urban green space can provide numerous possibilities for citizens and students to get involved and that it can foster the sustainable development of a new urban neighbourhood.

A place-based approach limits generalisability. To overcome this limitation, a literature review was conducted, and the location was compared to two parks with similar site conversion history.

The example of developing an urban green space can inspire universities to take an active role in biodiversity management in urban green spaces, integrating biodiversity into university activities and creating a positive impact in the urban environment.

Analysis of studies in the field shows that education deserves a more prominent role in theoretical frameworks.

The study represents an example of transition and citizen-led participatory management of biodiversity from a medium-sized city, transformation processes covering these aspects are underrepresented in literature.

This study aims to empirically connect green logistics performance, renewable energy, non-renewable energy, CO₂ emissions and gross domestic product in Vietnam from 2000 to 2022.

Within this study, the author uses innovative tools, specifically a R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy.

The results highlight the two-way relationship between green logistics and energy security in Vietnam. Green logistics plays various roles in diverse periods, from a net shock transmitter to a net shock receiver in the designed system. Using a dynamic and contemporaneous dynamic linkage method, this study emphasizes the change in the role and the dominance of green logistics and renewable energy consumption. Notably, the unexpected shocks also lead to changes in these variables’ roles.

This paper presents two significant contributions to the existing body of literature. Firstly, as previously emphasized, this research marks a pioneering effort to examine the connection between green logistics, environmental issues and the use of green and dirty energy when it comes to developing nations such as Vietnam. Secondly, this research introduces a novel approach to investigating the interconnectedness of volatility across diverse markets, offering a more suitable method for such analyses. Within this study, the author uses innovative tools, specifically an R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy. In this analysis, the author examined data from 2000 through 2022. A thorough analysis is presented using the data, exploring the connections between the volatilities resulting from various problems in Vietnam.

Green signaling refers to the notion that environmentally friendly purchases signal consumers' prosociality and willingness to pay more, thus enhancing their social status. This study investigated the green signaling effect among Gen Z and Millennial consumers on social media by adopting costly signaling theory.

A series of experimental studies were conducted to test the hypotheses. Thus, a 2 (organic vs. nonorganic) × 2 (luxury vs. non-luxury) between-subjects design was used in Study 1 (150 participants) and a 2 (organic vs. nonorganic) × 2 (high vs. low brand authenticity) between-subjects design was employed in Study 2 (148 participants).

The results of Studies 1 and 2 confirmed the mediating role of perceived status in the relationship between apparel greenness and purchase intention. However, brand label and authenticity did not have a moderating influence. The overall findings confirmed the green signaling effect of organic apparel in the social media marketing context.

This study contributes to the existing literature by suggesting a cultural capital perspective for promoting green products among Gen Z and Millennial consumers. It also encourages marketers to implement green messaging on social media, highlighting the amount of resources and efforts invested in sustainable production.

This study adopted existing brands to test the hypotheses, using images of female influencers.

The governance of our towns and cities requires an approach that connects people with nature and places. Digital technology can be the glue that does this, if it serves the needs of the various stakeholders, including urban communities. It means identifying the potential connections across people, digital, and place themes, examining successful approaches, and exploring some of the current practice (or lack of it) in spatial planning and smart cities. This can be considered using a range of Internet of Things (IoT) technologies with other methodologies which combine the use of socioeconomic and environmental data about the urban environment. This ambient domain sensing can provide the ecological and other data to show how digital connectivity is addressing the placemaking challenges alongside providing implications for urban governance and communities.

The paper seeks to investigate the impacts of government's incentives and internal aspects (i.e. firms' ethics and firms' attitudes) on the implementation of sustainability-oriented technology (SOT) among small and medium-sized enterprises (SMEs) in Tonga. Those aspects are imperative to examine as numerous enterprises in developing nations possess insufficient assets that suspend applying innovations, specifically SOT incorporated with enterprise management. Thus, it is unavoidable for an intermediary to intervene in technology implementation, and developing the more effective implementation process is reckoned. Meanwhile, governments possess the assets and authority to motivate the SOT implementation extensively. Therefore, this paper assesses governmental factors as influencing drivers for realizing cost-effective and well-organized implementation.

The paper employs the partial least squares structural equation modeling (PLS-SEM) technique to assess the information collected from 266 Tongan SMEs.

The outcomes indicate that government's policy and subsidies positively and significantly shape firms' ethics and attitudes regarding SOT implementation in Tonga.

The research analyzes the SOT implementation in a single country of Tonga; thus, the findings cannot be generalized to other emerging countries. Besides, this study selects SMEs as the sample; hence, it cannot be used to explain the behaviors of large companies.

The research is the first attempt to assess such impacts in the SMEs of a South Pacific nation.