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The purpose of this study is to examine the impact of green bonds on common prosperity in China. Green bonds have gained significant attention as a means to address financial challenges and promote environmental protection. This research aims to investigate the influence of green bonds on common prosperity by utilizing the system-generalized method of moments (SYS-GMM) and analyzing panel data from prefecture-level cities. The study also explores the theoretical mechanisms and heterogeneous relationships between green bonds and common prosperity, providing valuable guidance for advancing economic and social well-being in China.

This study employs a system-generalized method of moments (SYS-GMM) as the methodology to investigate the influence of green bonds on common prosperity in China. Panel data from prefecture-level cities for the period 2014 to 2020 are utilized for analysis. The SYS-GMM approach allows for the examination of dynamic relationships and control of endogeneity issues. By utilizing this methodology, the study aims to provide robust and reliable findings on the impact of green bonds on common prosperity, considering the specific context of China's ecological civilization development and financial challenges faced by energy-saving and environmental protection enterprises.

The findings of this research indicate several important outcomes. Firstly, common prosperity in China experienced substantial growth between 2014 and 2020. Secondly, green bonds have demonstrated a clear and positive impact on common prosperity. They contribute to the enhancement of common prosperity by driving industrial structure upgrading and fostering green technology innovation. Lastly, the study reveals that the positive influence of green bonds on common prosperity is particularly pronounced in the western region of China. These findings highlight the significance of green bonds in promoting sustainable economic development and societal well-being.

This study contributes to the existing literature by examining the impact of green bonds on common prosperity in China, utilizing the system-generalized method of moments (SYS-GMM) and panel data analysis. The research not only adds to the understanding of the relationship between green bonds and economic well-being but also provides insights into the theoretical mechanisms and heterogeneous relationships involved. The findings showcase the positive influence of green bonds on common prosperity, emphasizing their role in addressing financial challenges, promoting environmental protection, and driving sustainable development. The study's conclusions offer valuable guidance for policymakers, financial institutions, and stakeholders in advancing common prosperity in China.

The relevance of transparency related to public finances is considered fundamental for good economic policy management. An environment of greater fiscal transparency allows the private sector greater predictability, improving the entrepreneur’s decision-making ability. This study empirically analyzes fiscal opacity’s effect on business confidence in an emerging economy.

We use monthly data from the Brazilian economy from January 2010 to March 2023. Based on Ordinary Least Squares (OLS) and the Generalized Method of Moments (GMM) regressions, we analyze whether fiscal opacity, measured by the signal-to-noise ratio, affects business confidence. Moreover, to evaluate the duration of a shock transmitted by the fiscal opacity on business confidence, we consider an impulse-response function generated by a Vector Auto-Regressive (VAR).

We found that fiscal opacity resulting from the lack of information to anticipate the budgetary result of the public sector deteriorates business confidence.

We present robust empirical evidence that allows us to assume that using a strategy to reduce fiscal opacity through mechanisms that provide reliable economic data and fiscal forecasts is essential for fiscal policy to affect business confidence positively. Reducing fiscal opacity provides greater clarity regarding the budget outcome, reduces economic uncertainty and improves the fiscal policy expectation channel.

This paper is the first to analyze how the lack of information for market agents to anticipate the government’s budget execution accurately (fiscal opacity) affects business confidence.

Financial stability has become a focal point for central banks since the global financial crisis. However, the optimal mix between monetary and financial stability policies remains unclear. In this study, the “soft” approach to such policy mix was tested – how often monetary policy (in inflation reports) analyses financial stability issues. This paper aims to discuss the aforementioned objective.

A total of 648 inflation reports published by 11 central banks from post-communist countries in 1998-2019 were reviewed using a text-mining method.

Results show that financial stability topics (mainly cyclical aspects of systemic risk) on average account for only 2%of inflation reports’ content. Although this share has grown somewhat since the global financial crisis (in CZ, HU and PL), it still remains at a low level. Thus, not enough evidence was found on the use of a “soft” policy mix in post-communist countries.

Given the strong interactions between price and financial stability, this paper emphasizes the need to increase the attention of monetary policymakers to financial stability issues.

The study combines two research areas, i.e. monetary policy and modern text mining techniques on a sample of post-communist countries, something which to the best of the authors’ knowledge has not been sufficiently explored in the literature before.

Care of complex patients requires collaboration across hospital and community settings. Yet there is little recognition of the capabilities that healthcare workers need to effectively implement integrated care. An adaptive expertise theoretical framework can inform educational efforts that aim to give providers the abilities to navigate complexity and ambiguity in the healthcare system, including across hospital and community settings. Prior education research in the HIV sector has demonstrated that adaptive expert skills can be cultivated through education that emphasizes perspective exchange, inviting uncertainty in practice and integration of diverse perspectives on care.

These principles informed the creation of an Extension for Community Healthcare Outcomes (ECHO) in HIV Psychiatry – the first ECHO directed at a non-clinical, community health worker (CHW) audience. The goal was to improve informal collaborations across hospitals and communities.

Participation in the ECHO was robust, with significant on-camera engagement. Participants attributed success of the ECHO to key themes: explicit value placed on all kinds of knowledge (not simply clinical knowledge), emphasis on approaches for navigating ambiguity and complexity and engagement in perspective exchange for provision of integrated, team-based care. Future cycles of ECHO HIV Psychiatry are being pursued, with a focus on the development of adaptive expert capabilities and the impact on integration of care between community and hospital services.

To our knowledge, this is the only ECHO that is specifically aimed at frontline CHWs.

While prior research has established that traumatic brain injury (TBI) is a risk factor for violent offending, there is little understanding of mechanisms that may underpin this relationship. This is problematic, as a better understanding of these mechanisms could facilitate more effective targeting of treatment. This study aims to address these gaps in the extant literature by examining TBI as a predictor of violent offending and test for mediation effects through cognitive constructs of dual systems imbalance and hostility among a sample of justice-involved youth (JIY).

The Pathways to Desistance data were analyzed. The first three waves of this data set comprising the responses of 1,354 JIY were analyzed. Generalized structural equation modeling was used to test for direct and indirect effects of interest. A bootstrap resampling process was used to compute unbiased standard errors for determining the statistical significance of mediation effects.

Lifetime experience of TBI was associated with increased violent offending frequency at follow-up. Hostility significantly mediated this relationship, but dual systems imbalance did not. This indicated that programming focused on reducing hostility among JIY who have experienced TBI could aid in reducing violent recidivism rates.

To the best of the author’s knowledge, this study was the first to identify significant mediation of the relationship between TBI and violent offending through hostility.

The study aims to describe the impact of supervisor’s and co-worker’s ostracism on the employee's responses (emotional, psychological and behavioral) through the mediation of employees' efficacy needs and relational needs. Moreover, psychological capital is treated as a moderator to handle the adverse responses of ostracized employees.

The study employed a three-wave quantitative research design to gather data from employees and their respective supervisors who belonged to various healthcare units (N = 510) using self-administered close-ended questionnaires. After that, SmartPLS software was used to analyze the data through a structured equation modeling (SEM) technique.

The empirical results of the study endorsed that ostracism adversely (negatively) affects employees' responses (comprised of emotional, behavioral and psychological). Moreover, the results revealed that employees' needs (efficacy and relational) mediate the relationship between ostracism experienced by employees (supervisor’ and co-workers’ ostracism) and their emotional, behavioral and psychological responses. In addition, it is also evidenced that employees' psychological capital improves the negative association between employees' needs and responses.

The literature in this domain is scarce, and the theoretical stance is weak due to the traditional approaches that are more concerned with the outcomes rather than analyzing the employee's conditional what they are going through. The present study enhances the knowledge of the transactional mode of coping and its application to ostracism in the workplace. The results of the current study may also support the practitioners in formulating interventions to foster a favorable workplace environment.

This paper aims to introduce the Theory of Ethical Leadership as a possible means of actualizing the mission and vision statements of the American Physical Therapy Association as well as individual professional objectives. Specific examples of how this can be applied directly to the profession of physical therapy will be presented.

Leadership influences can profoundly affect a profession, an organization and an individual. This has led to exploring which leadership style would be most effective in moving their organization forward. Through a review of the literature, this viewpoint paper compares leadership theories present in the health-care literature, as well as why they may fall short of actualizing the mission and vision statements of the American Physical Therapy Association as well as individual professional objectives.

Most research has separated ethics from leadership, but all agree that to be successful, the leader needs to exhibit a strong moral compass and demonstrate positive ethical behavior. At the intersection of ethics and leadership is the emerging theory of ethical leadership. Ethical leadership is based on the premise that employees look outside of themselves for ethical guidance and that leaders have an opportunity to provide this moral awareness by making an ethical message sufficiently salient to be recognized in the organizational context as well as allowing the leader to stand out against an ethically neutral ground.

This paper is an original work and has not been published previously, either in whole or in part. Additionally, this paper is not under consideration for publication by any other journal.

The purpose of this research was to explore the stickiness of players' motivation in a virtual community and to explore the important factors for gamers.

In this research, motivation was the independent variable; the virtual community was the mediator; and stickiness was the dependent variable. An online questionnaire survey was conducted, with users of augmented reality (AR) as the research objects. Statistical analysis was carried out using SPSS and AMOS software to verify the research model and research hypotheses, to understand the relation between player motivation and stickiness and to determine whether there were any changes in the virtual community.

The authors found that the relation between players' motivation in AR-based games and the virtual community had a significant positive impact. Ingress had a significant positive impact on the virtual community and stickiness, and Pokémon had a significant positive impact too. The virtual community of the Ingress game played a completely mediating role in motivation and stickiness, but the virtual community in Pokémon did not have a mediating effect.

The novel approach adopted in this study enabled us to determine the causal relation between player motivation, the virtual community and stickiness, on the basis of the theoretical framework formulated, and the latter was used to construct a path analysis model diagram. The correlation between motivation and the virtual community, between the virtual community and stickiness, and the causal relation between all three was verified. The study results and conclusions may help companies understand how to use virtual communities in AR games to improve stickiness and motivate gamers to continue playing.

The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.

Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.

The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.

Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.

At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.