Greenwashing undermines the trustworthiness and integrity of environmental, social, and governance (ESG) reporting. It undermines disclosure quality, confuses decision making, destabilizes financial markets, and reduces the probability that people will trust the supplied information. This research utilizes a comprehensive literature review and bibliometric analysis to investigate the scholarly dialogue around ESG disclosure and strategies to counteract corporate “greenwashing”. This study’s objectives were achieved by bibliometric analysis, using the statistical programming tools R Studio R 3.6.0+, Biblioshiny 4.2.0, and VOSviewer 1.6.20. We acquired bibliometric data from the Scopus database for the period 2012–2024. We established the optimal sample size via the PRISMA methodology, including both inclusion and exclusion criteria. Greenwashing is a multifaceted issue that manifests in many forms, shapes, and intensities, as seen by the data. This obstructs the advancement of apparatus for prevention, quantification, and detection. Moreover, the results indicate that sustainable finance is adversely affected by greenwashing, particularly for green loans and green bonds. Moreover, the findings indicate that corporate greenwashing is a distinct kind of greenwashing.

In this study, we analyze the volatility of volatility indices and estimate the Hurst parameter using data from five international markets. For our analysis, we consider daily data from VIX (CBOE), VXN (CBOE Nasdaq 100), VXD (DJIA), VHSI (HSI), and KSVKOSPI (KOSPI). The period of analysis is from January 2001 to December 2021 and incorporates various market phases, such as booms and crashes. The novelty here is the use of recent methodology, including different range-based estimators for volatility analysis. We apply the Hurst exponent to the volatility measures V_gk,t, V_p,t, V_rs,t, and V_s,t, and then estimate the volatility of volatility indices through the GARCH(1, 1) model. Based on the values of the Hurst exponent, we analyze the trace of the behavior of three trading strategies, i.e., the momentum-based strategy, the random walk, and the mean-reversion strategy. The results are highly recommended for financial analysts dealing with volatility indices as well as for financial researchers.

An unsustainable rate of resource production and consumption is evident in urban environments. The absence of innovative approaches in conjunction with the exponential urbanization and expansion of the global population will inevitably result in substantial environmental consequences. There are two emerging alternatives: circular economy (CE) and urban metabolism (UM). The integration of these principles into novel methodology casts doubt on the linear model of contemporary economic and urban systems, which includes extraction, production, utilization, and disposal. In the development of a distinctive urban framework known as circular urban metabolism, the current study has illustrated the application of these principles. We design this study to motivate urban planners and decision-makers to investigate, develop, and supervise ecologically sustainable cities. Scholars from a variety of academic disciplines, intrigued by the intricacies of urban planning, design, and administration, can foster interdisciplinary collaboration in the circular urban metabolism (CUM) region. To address the research question, we implemented a bibliometric analysis, which involved the examination of 627 pertinent research papers, utilizing the R (R 3.6.0+) statistical programming language. The results emphasize the fundamental characteristics and significance of CUM in the management of refuse. In addition, the findings underscore the importance of creating a novel framework that incorporates the principles of urban political ecology, CUM, sustainability, and the novel dimension of waste metabolism. It is the goal of this framework to emphasize the significance of recycling in the informal sector as a waste management strategy in low- and medium-income countries (LMICs).

(1) Background: Cryptocurrencies have a substantial environmental impact. In particular, the mining procedure that is employed to produce and finalize the transaction is energy-intensive and generates carbon emissions. Consequently, the objective of the present investigation is to investigate the function of cryptocurrencies in a sustainable development. This research specifically investigates the function of stablecoins, a novel subject in finance and academia that has the potential to foster a sustainable business environment. (2) Methods: A bibliometric analysis was performed using the R statistical programming language together with the bibliometric tools Biblioshiny and VOSviewer to fulfill the research objective. Data were obtained from the Scopus database, and their selection was completed using the PRISMA methodology. (3) Results: The results of the current research highlight the crucial role of stablecoins in promoting an alternative decentralized financial sector, offering a unique opportunity for the market to create a more inclusive and environmentally friendly financial ecosystem. Moreover, research indicates that stablecoins might convert Ethereum into a stable currency and enhance their ecologically friendly path. (4) Conclusions: Stablecoins have become a crucial tool in the unpredictable bitcoin environment, offering stability in a tumultuous market. The research indicates that users need to acknowledge the sustainability of asset collateral, and so far, only the regulation of stablecoins is progressing in this area.

The high prevalence of postpartum depression makes it necessary for midwives and nurses to implement prenatal interventions for expectant mothers. The current study aims to investigate and highlight the importance of the digital training of nurses in order to help women mitigate the symptoms of postpartum depression and protect infants. To approach this, we conducted a bibliometric analysis to address the study’s main objective. Articles were retrieved from the Scopus database for the timeframe 2000–2023. Data analysis was conducted using the statistical programming language R (version R-4.4.) and the bibliometric software VOSviewer (version 1.6.20) and Biblioshiny (version 4.1.4), focused on year, journal, and country. For this investigation, we selected a total of 31 MeSH keywords and sub-headings that exhibited significant frequencies. We consistently used six significant clusters of MeSH keywords. We obtained a total of 585 articles from the Scopus database that were major contributors to the field of PPD, as evidenced by their extensive publication of research articles and their influential role in the domain. The studies included a thorough analysis of depression research, the use of scales for diagnosing and screening PPD, psychological studies related to PPD, and the exploration of causes, mechanisms, outcomes, and genetic factors. Our study’s results demonstrate a steady and significant increase in the availability of information on PPD. Importantly, the novelty of the current study lies in highlighting the need for a transition in the ways in which nurses and midwives are trained to mitigate postpartum disease by integrating emerging technologies into their practices. The knowledge provided here has the potential to serve as a foundation for future advancements in obstetric psychology, both presently and in the future.

This research aims to examine the relationship between green finance, fintech, and sustainable development. PRISMA and bibliometric analyses were conducted to determine the most important trends related to this subject. A total of 432 scientific documents were analyzed, sourced from the Scopus database. The PRISMA approach was used to choose the bibliometric data, including the application of suitable inclusion and exclusion criteria. The bibliometric analysis study framework, produced using the statistical programming language R alongside sophisticated bibliographic tools Biblioshiny and VOSviewer, particularly concentrates on carbon emissions, renewable energy, green technology innovation, and fintech. The study highlights the most significant authors, sources, and emerging research domains in the subject. Furthermore, the findings suggest that the organization’s performance regarding ESG may be enhanced via the interplay between green financing and fintech. The study’s results highlight the significance of green finance in achieving sustainable development and the need for fintech to evolve into greentech to promote ecologically sustainable activities.