Enterprises are drawing growing criticism for violating environmental rules. The research examines whether and how top executives\' mental bias leads to corporate environmental misconduct (CEI). Drawing on upper echelon theory (UET) and agency theory, we link CEO overconfidence with CEI, and explore the boundary conditions from the perspective of management discretion at the governance level. Using a data set covering the Chinese listed enterprises from 2004 to 2016, the empirical results demonstrate that CEO overconfidence positively and markedly influenced CEI. Moreover, shareholder concentration and CEO duality reinforce the relationship between overconfidence and CEI, whereas board independence is the opposite. The findings clarify ecological outcomes of CEO overconfidence and have remarkable significance in theory and practice.

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Fulfilling corporate social responsibility (CSR) is crucial for society\'s sustainable development. Executives\' academic experience significantly affects their awareness of social responsibility, value orientation, professional ability, and network resources. Thus, it is critical in CSR-related corporate decision-making. This paper explores the impact of executives\' academic experience on the fulfillment of CSR. It focuses on non-financial, Special treatment enterprises (ST), and ST* enterprises listed in the A-share market from 2012 to 2021. It utilizes a fixed-effects analysis model to examine the relationship between executives\' academic experience and CSR fulfillment. The CSR score and executives\' academic experience were positively correlated. This paper also explores the intermediary role of compensation incentives and the moderating effect of marketization level. Both compensation incentives and the level of marketization positively moderated the relationship between executives\' academic experience and CSR fulfillment. Meanwhile, the robustness results showed that the experimental findings still held after replacing the explained and explanatory variables. This paper contributes to the advancement of the Upper Echelons Theory and provides empirical evidence for the society\'s sustainable development.

Against the background of increasingly severe environmental problems, green development has gained widespread attention, and green innovation has thus become crucial for enterprises. This study used 2007-2019 data from listed A-share companies in China to evaluate the effect of senior executives\' overseas experience on corporate green innovation. The results showed that senior executives\' overseas experience could promote green innovation in companies. This positive effect was more significant for private enterprises and high-tech enterprises, especially in eastern China. The CEO pay regulation have a significant negative moderating effect on this positive effect. This study enriches upper echelons theory and provides theoretical support for government agencies to accelerate innovative green development strategies. The results can also provide a decision-making basis for governments to formulate policies to promote enterprises\' green development.

The segmentation of commuters into either blue or white-collar workers remains is still common in urban transport models. Internationally, models have started to use more elaborate segmentations, more reflective of changes in labour markets, such as increased female participation. Finding appropriate labour market segmentations for commute trip modelling remains a challenge. This paper harnesses a data-driven approach using unsupervised clustering-applied to 2017-20 South East Queensland Travel Survey (SEQTS) data. Commuter types are grouped by occupational, industry, and socio-demographic variables (i.e., gender, age, household size, household vehicle ownership and worker skill score). The results show that at a large number of clusters (i.e., k = 8) a highly distinct set of commuter types can be observed. But model run times tend to require a much smaller number of market segments. When only three clusters are formed (k = 3) a market segmentation emerges with one female-dominated type (\'pink collar\'), one male-dominated type (\'blue collar\') and one with both genders almost equally involved (\'white collar\'). There are nuances as to which workers are included in each segment, and differences in travel behaviours across the three types. \'Pink collar\' workers are mostly comprised of female clerical and administrative workers, community and personal service workers and sales workers. They have the shortest median commutes for both private motorised and active transport modes. The approach and methods should assist transport planners to derive more accurate and robust market segmentations for use in large urban transport models, and, better predict the value of alternative transport projects and policies for all types of commuters.

The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country\'s economic development.

BACKGROUND: China\'s long-term care insurance (LTCI) has been launched since 2016 to ensure that older disabled people obtain affordable care services. However, rigorous evaluations of the health effects of China\'s LTCI pilots have been limited. This paper aimed to examine the effects of LTCI on health among older adults aged 60 years and above.
METHODS: Drawing from panel data of the China Health and Retirement Longitudinal Study (CHARLS), we used a propensity score matching (PSM) and difference-in-difference (DID) approach to identify the health effects of the LTCI program and reduce the selection bias. Further, heterogeneity of the effects was examined by physical and intellectual function to evaluate whether the effects differed among subgroups of older population.
RESULTS: The implementation of LTCI significantly improved self-rated health (β = 0.15, P<.05) and cognitive function (β = 0.59, P<.01) for older adults. The results were robust when keeping only those living in pilot cities (β = 0.31, P<.05 for self-rated health status; β = 0.98, P<.001 for cognitive function) or non-pilot cities (β = 0.14, P<.05 for self-rated health status; β = 0.60, P<.01 for cognitive function) as the control group. The effects of LTCI were especially manifested in older adults with physical disability (β = 0.13, P<.01 for self-rated health; β = 0.76, P<.001 for cognitive function) or intellectual disability (β = 0.16, P<.01 for self-rated health).
CONCLUSIONS: From a policy perspective, these findings suggested that LTCI in China could benefit the health outcomes of older adults, especially those with physical or cognitive disabilities. Policy-makers can target resources more effectively to improve health outcomes for the most vulnerable populations.

BACKGROUND: Whether the construction of broadband infrastructure can alleviate the problem of mismatched medical resources is crucial to the national information strategy, residents\' well-being, and social equity. However, the academic community lacks a comprehensive theoretical analysis and rigorous empirical research on this issue.
OBJECTIVE: This study aims to construct a preliminary theoretical framework to scientifically assess the effects of broadband infrastructure development on the mitigation of health care resource mismatch from both theoretical and empirical perspectives, to explore the potential mechanisms of influence, and ultimately to develop several practical policy recommendations.
METHODS: We first used a theoretical analysis to propose testable theoretical hypotheses and establish a preliminary theoretical framework. Then, based on balanced panel data from 300 cities from 2010 to 2021, a 2-way fixed effects difference-in-differences model was used for empirical testing. Mechanism tests, robustness analyses, and heterogeneity analyses were further conducted.
RESULTS: The research findings demonstrate that the Broadband China Policy significantly reduces the degree of mismatch in medical resources by primarily using innovation effects and integration effects, resulting in a reduction of 13.2%. In addition, the heterogeneity analysis reveals that the central and eastern regions, cities with large populations, and areas with a high proportion of young people benefit more significantly.
CONCLUSIONS: This study fully confirms, both theoretically and empirically, that broadband infrastructure construction can effectively reduce the mismatch of medical resources not only by expanding the existing literature on the impact of broadband on public services but also by providing valuable opportunities for policy makers to optimize the allocation of medical resources.

In an era where environmental conservation is increasingly critical, identifying pathways through which technological innovations like virtual reality tourism (VRT) can promote sustainable behaviors is vital. This study investigates the impact of \'ecological presence\', a newly proposed sub-dimension of presence in VRT, on tourists\' environmentally responsible behavior (TERB). Through structural equation modeling and fuzzy set qualitative comparative analysis of data from 290 participants, we unveil that ecological presence-defined as the authenticity and immersion of tourists in virtual ecological environments-significantly bolsters biospheric values, environmental self-identity, and personal norms. Additionally, our findings indicate that ecological presence in VRT indirectly promotes TERB, predominantly through the mediation of enhanced biospheric values and environmental self-identity. Notably, ecological presence, biospheric values, and environmental self-identity constitutes a sufficient condition for achieving a high level of TERB. This research highlights the potential of VRT as an innovative tool for tourism administrators to foster environmental stewardship, offering a novel approach to leveraging technology for conservation efforts.

BACKGROUND: The integrated health management system (IHMS), which unites all health care-related institutions under a health-centered organizational framework, is of great significance to China in promoting the hierarchical treatment system and improving the new health care reform. China\'s IHMS policy consists of multiple policies at different levels and at different times; however, there is a lack of comprehensive interpretation and analysis of these policies, which is not conducive to the further development of the IHMS in China.
OBJECTIVE: This study aims to comprehensively analyze and understand the characteristics, development, and evolution of China\'s IHMS policy to inform the design and improvement of the system.
METHODS: We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to collect 152 policy documents. With the perspective of policy tools and policy orientation as the core, a comprehensive 6D framework including policy level, policy nature, release time, policy tools, stakeholders, and policy orientation was established by combining the content of policy texts. These dimensions were then analyzed using content analysis.
RESULTS: First, we found that, regarding the coordination of policy tools and stakeholders, China\'s IHMS policy was more inclined to use environment-based policy tools (1089/1929, 56.45%), which suggests a need for further balance in the internal structure of policy tools. Attention to different actors varied, and the participation of physicians and residents needs further improvement (65/2019, 3.22% and 11/2019, 0.54%, respectively). Second, in terms of level differences, Shanghai\'s IHMS policy used fewer demand-based policy tools (43/483, 8.9%), whereas the national IHMS policy and those of other provinces and cities used fewer supply-based tools (61/357, 17.1% and 248/357, 69.5%, respectively). The national IHMS strategy placed more emphasis on the construction of smart health care (including digital health; 10/275, 3.6%), whereas Shanghai was a leader in the development of healthy community and healthy China (9/158, 5.7% and 4/158, 2.5%, respectively). Third, in terms of time evolution, the various policy tools showed an increasing and then decreasing trend from 2014 to 2021, with relatively more use of environment-based policy tools and less use of demand-based policy tools in the last 3 years. The growth of China\'s IHMS policy can be divided into 3 stages: the disease-centered period (2014-2017), the e-health technology development period (2017-2019), and the health-centered period (2018-2021).
CONCLUSIONS: Policy makers should make several adjustments, such as coordinating policy tools and the uneven relationships among stakeholders; grasping key policy priorities in the context of local characteristics; and focusing on horizontal, multidimensional integration of health resources starting from the community. This study expands the objects of policy research and improves the framework for policy analysis. The findings provide some possible lessons for future policy formulation and optimization.