Is the digital economy empowering high-quality tourism development? A theoretical and empirical research from China.

How digital economy (DE) empowers high-quality development of tourism (HQDT) has become a common concern among scholars. Given this, this study clarifies the theoretical connotation of DE enabling HQDT,and finds that: Micro, DE promotes efficiency improvements in tourism enterprises, with its economies of scale and Matthew effect reducing average costs, its economies of scope meeting diversified demand, and its long-tail effect improving supply-demand matching mechanism. Meso, DE can transform and upgrade tourism industry structure through industrial digitization and digital industrialization, and also form a new tourist industry form and value chain through cross-border integration. Macro, DE can stimulate innovation and flexibility of market players, increase new factor inputs in tourism, improve factor allocation efficiency, and advance macro regulation of the tourism market. Accordingly, the study conducts an empirical test based on panel data for 31 provinces in mainland China during 2011-2020. Results show that: ① DE positively influences HQDT, and the sub-dimensions all positively influence HQDT. ② DE has a heterogeneous impact on HQDT and shows spatial spillover effects. Finally, the study concludes with effective paths for DE promoting HQDT: "Promote digital infrastructure construction, accelerate tourism digital transformation, strengthen integration and innovation development, and overcome the challenges of tourism enterprises".

How do taxi drivers expose to fine particulate matter (PM2.5) in a Chinese megacity: a rapid assessment incorporating with satellite-derived information and urban mobility data.

BACKGROUND: Taxi drivers in a Chinese megacity are frequently exposed to traffic-related particulate matter (PM2.5) due to their job nature, busy road traffic, and urban density. A robust method to quantify dynamic population exposure to PM2.5 among taxi drivers is important for occupational risk prevention, however, it is limited by data availability. METHODS: This study proposed a rapid assessment of dynamic exposure to PM2.5 among drivers based on satellite-derived information, air quality data from monitoring stations, and GPS-based taxi trajectory data. An empirical study was conducted in Wuhan, China, to examine spatial and temporal variability of dynamic exposure and compare whether drivers' exposure exceeded the World Health Organization (WHO) and China air quality guideline thresholds. Kernel density estimation was conducted to further explore the relationship between dynamic exposure and taxi drivers' activities. RESULTS: The taxi drivers' weekday and weekend 24-h PM2.5 exposure was 83.60 µg/m3 and 55.62 µg/m3 respectively, 3.4 and 2.2 times than the WHO's recommended level of 25 µg/m3. Specifically, drivers with high PM2.5 exposure had a higher average trip distance and smaller activity areas. Although major transportation interchanges/terminals were the common activity hotspots for both taxi drivers with high and low exposure, activity hotspots of drivers with high exposure were mainly located in busy riverside commercial areas within historic and central districts bounded by the "Inner Ring Road", while hotspots of drivers with low exposure were new commercial areas in the extended urbanized area bounded by the "Third Ring Road". CONCLUSION: These findings emphasized the need for air quality management and community planning to mitigate the potential health risks of taxi drivers.

An empirical assessment of the influence of digital transformation on sports corporate sustainability.

The trend of digital transformation fosters enterprise change, helps cultivate enterprises' own competitive advantages and is crucial to the advancement of sports enterprises' sustainable development in the framework of the emerging digital economy as a national strategy. However, there have been few empirical studies on the microlevel of digital transformation and its impact on the sustainability of sports organizations. Therefore, the sustainable growth dynamic model is used to construct indicators of corporate sustainability by referencing 48 sports corporations listed on Shanghai and Shenzhen A-shares markets and the New Third Board in China from 2012 to 2021. The intrinsic relationship between digital transformation and the sustainable development of sports enterprises and the underlying mechanism of action are explored by constructing a panel fixed effects model, a chain mediating effects model, and a panel threshold model. The most important contribution is as follows: To provide a useful reference for analyzing enterprise digital transformation, a more complete indicator indicating the extent of corporate digital transformation is built. The micro viewpoint broadens our awareness of sustainable development in sports organizations and deepens our understanding of the interaction model between sustainable development and enterprise digital transformation. This study provides methodical evidence and insights for an accurate understanding of digital transformation for sustainable enterprise development, looking into the "black box" of the mechanism between digital transformation and sustainable business development. The results show that digital transformation significantly aids sports enterprises in their pursuit of long-term sustainability. Heterogeneity tests demonstrate the pivotal role of digital transformation in advancing the sustained growth of sports firms and high-tech sports enterprises situated in the eastern region of China. Regarding transmission mechanisms, the chain mediating effect of enterprises' digital transformation on improved technological innovation and TFP, which in turn promote long-term business growth, has yet to be validated. Further examination exposes that within the context of the correlation between digital transformation and the sustainability of corporations, there is a single threshold effect based on financing restrictions and operational costs and a double threshold effect based on operational efficiency.

Risk management and empirical study of the doctor-patient relationship: based on 1790 litigation cases of medical damage liability disputes in China.

BACKGROUND: Compensation for medical damage liability disputes (CMDLD) seriously hinders the healthy development of hospitals and undermines the harmony of the doctor-patient relationships (DPR). Risk management in the DPR has become an urgent issue of the day. The study aims to provide a comprehensive description of CMDLD in China and explore its influencing factors, and make corresponding recommendations for the management of risks in the DPR. METHODS: This study extracted data from the China Judgment Online - the official judicial search website with the most comprehensive coverage. Statistical analysis of 1,790 litigation cases of medical damage liability disputes (COMDLD) available from 2015 to 2021. RESULTS: COMDLD generally tended to increase with the year and was unevenly distributed by regions; the compensation rate was 52.46%, the median compensation was 134,900 yuan and the maximum was 2,234,666 yuan; the results of the single factor analysis showed that there were statistically significant differences between the compensation for different years, regions, treatment attributes, and trial procedures (P < 0.05); the correlation analysis showed that types of hospitals were significantly negatively associated with regions (R=-0.082, P < 0.05); trial procedures were significantly negatively correlated with years (R=-0.484, P < 0.001); compensat- ion was significantly positively correlated with years, regions, and treatment attributes (R = 0.098-0.294, P < 0.001) and negatively correlated with trial procedures (R=-0.090, P < 0.01); regression analysis showed that years, treatment attributes, and regions were the main factors affecting the CMDLD (P < 0.05). CONCLUSIONS: Years, regions, treatment attributes, and trial procedures affect the outcome of CMDLD. This paper further puts forward relevant suggestions and countermeasures for the governance of doctor-patient risks based on the empirical results. Including rational allocation of medical resources to narrow the differences between regions; promoting the expansion and sinking of high-quality resources to improve the level of medical services in hospitals at all levels; and developing a third-party negotiation mechanism for medical disputes to reduce the cost of medical litigation.

Is economic growth enough to propel rehabilitation expenditures? An empirical analysis of country panel data and policy implications.

PURPOSE: Rehabilitation is a set of services designed to increase functioning and improve wellbeing across the life course. Despite being a core part of Universal Health Coverage, rehabilitation services often receive limited public expenditure, especially in lower income countries. This leads to limited service availability and high out of pocket payments for populations in need of care. The purpose of this research was to assess the association between macroeconomic conditions and rehabilitation expenditures across low-, middle-, and high-income countries and to understand its implications for overall rehabilitation expenditure trajectory across countries. MATERIALS AND METHODS: We utilized a panel data set from the World Health Organization's Global Health Expenditure Database comprising the total rehabilitation expenditure for 88 countries from 2016 to 2018. Basic macroeconomic and population data served as control variables. Multiple regression models were implemented to measure the relationship between macroeconomic conditions and rehabilitation expenditures. We used four different model specifications to check the robustness of our estimates: pooled data models (or naïve model) without control, pooled data models with controls (or expanded naïve model), fixed effect models with all controls, and lag models with all controls. Log-log specifications using fixed effects and lag-dependent variable models were deemed the most appropriate and controlled for time-invariant differences. RESULTS: Our regression models indicate that, with a 1% increase in economic growth, rehabilitation expenditure would be associated with a 0.9% and 1.3% increase in expenditure. Given low baseline levels of existing rehabilitation expenditure, we anticipate that predicted increases in rehabilitation expenditure due to economic growth may be insufficient to meet the growing demand for rehabilitation services. Existing expenditures may also be vulnerable during periods of economic recession. CONCLUSION: This is the first known estimation of the association between rehabilitation expenditure and macroeconomic conditions. Our findings demonstrate that rehabilitation is sensitive to macroeconomic fluctuations and the path dependency of past expenditures. This would suggest the importance of increased financial prioritization of rehabilitation services and improved institutional strengthening to expand access to rehabilitation services for populations.

Research on financing countermeasures of online game SMEs based on the identification of intangible assets information.

As an important part of the cultural industry, small and medium-sized online game enterprises undertake the functions of technological innovation, employment absorption and cultural cultivation. However, the lack of credit ability restricts the financial development of such enterprises. To solve the financing problem of online small and medium-sized game enterprises, this paper firstly uses the information of intangible assets to identify their credit ability, and considers that the information of intangible assets is a problem worthy of attention in evaluating credit risk. Secondly, the intangible assets information disclosure index, the revenue sharing contract of credit synergy and the dynamic game mechanism are constructed to study the importance of the intangible assets index and the evolution of the dynamic game. Finally, the empirical study shows that the intangible assets of delisting and special treated online game small and medium-sized enterprises still have value, this type of enterprise and credit suppliers have the behavior of seeking advantages and avoiding disadvantages. Therefore, credit synergy should be constructed and government regulation should be implemented.

Health information sources and health-seeking behaviours of Filipinos living in medically underserved communities: Empirical quantitative research.

AIMS: To describe sources of health information and health-seeking behaviours of adults (aged ≥18) living in medically underserved communities in the Philippines. DESIGN: This is a secondary, quantitative analysis from a cross-sectional parent study. Participants completed a 10-item, self-report survey on their sources of health information, healthcare providers sought for health and wellness and health-seeking behaviours when ill. Responses were evaluated across two age groups (<60 vs. ≥60 years) and genders using generalized linear mixed models. RESULTS: Surveys were completed by 1202 participants in rural settings (64.6% female, mean age 49.5 ± 17.6). Friends and/or family were their key source of health information (59.6%), followed by traditional media (37%) and healthcare professionals (12.2%). For health promotion, participants went to healthcare professionals (60.9%), informal healthcare providers (17.2%) or others (7.2%). When ill, they visited a healthcare professional 69.1% of the time, self-medicated (43.9%), prayed (39.5%) or sought treatment from a rural health clinic (31.5%). We also found differences in health-seeking behaviours based on age and gender. CONCLUSIONS: Our findings highlight the need to organize programs that explicitly deliver accurate health information and adequate care for wellness and illness. Study findings emphasize the importance of integrating family, friends, media and healthcare professionals, including public health nurses, to deliver evidence-based health information, health promotion and sufficient treatment to medically underserved Filipinos. IMPLICATIONS: New knowledge provides valuable information to healthcare providers, including public health nurses, in addressing health disparities among medically underserved Filipinos. IMPACT: This study addresses the current knowledge gap in a medically vulnerable population. Healthcare professionals are not the primary sources of health information. Approximately one-third of participants do not seek them for health promotion or treatment even when ill, exacerbating health inequities. More work is necessary to support initiatives in low- and middle-income countries such as the Philippines to reduce health disparities. REPORTING METHOD: We adhered to the reporting guidelines of STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: There was no patient or public contribution as our study design and methodology do not make this necessary.

How companies navigate circular economy paradoxes: An organizational perspective.

The consideration and implementation by companies of only those circular economy (CE) practices involving economic returns (win-win solutions) is the result of a utopian and reductionist view of the circular transition. A more realistic and holistic perspective toward circular economy (CE) should recognize and embrace the complexities it entails and not be limited to only instrumental solutions. By drawing on the paradox theory, we delve into the conflicting issues that companies encounter in adopting circular initiatives and analyze the role of organizational attributes in the recognition and navigation of CE tensions. We tested our conceptual framework by using survey data from 303 manufacturing and construction companies in Italy. This study shows that cognitive diversity of internal managerial figures and supply chain collaboration foster the recognition of CE tensions at corporate level. In addition, the results reveal that companies with flexible organizational design, which collaborate with other supply chain actors, and recognize CE tensions are more likely to navigate CE paradoxes. Finally, the study indicates that establishing an experimentation and dialogue space increases the effect of flexible organizational design on navigating CE paradoxes. The research findings are relevant not only to managers and companies, but also to policy makers who can implement industrial policies that incentivize companies' development of organizational attributes likely to stimulate a paradoxical approach toward CE.

Environmental protection investment on performance of heavy-polluting enterprises: evidence from China's A-share listed companies.

Heavy-polluting enterprises' investment in environmental protection will have a "crowding out effect" on their other inputs, affecting enterprise performance. However, if the environmental protection investment of enterprises improves their green technology innovation ability, resulting in the "innovation compensation effect," which can offset the "crowding out effect" of environmental protection inputs, it may have a positive impact on enterprise performance. This can offset the "crowding out effect" of environmental investment and may promote the performance of enterprises. At the same time, equity concentration plays the role of "tunneling effect" and "monitoring and incentive effect" in the process of environmental protection investment affecting the performance of heavy-polluting enterprises. The paper selects the data of A-share listed heavy-polluting enterprises in China from 2010 to 2019 and analyzes the impacts of environmental protection investment and green technology innovation on the performance of heavy-polluting enterprises by using a multidimensional panel fixed-effects model. The results show that environmental protection investment will improve the performance of heavy-polluting enterprises by improving their green technology innovation ability; green technology innovation plays a partly intermediary role in the process of environmental protection investment affecting the performance of enterprises, and the magnitude of this intermediary role is regulated by the concentration of corporate equity. Based on the results of the empirical study, it is recommended that heavy-polluting enterprises should accelerate the pace of green technology research and development and results transformation, optimize the proportion of equity allocation, and achieve the dual goals of fulfilling environmental responsibilities and enhancing corporate performance.

Disentangling circular economy practices and firm's sustainability performance: A systematic literature review of past achievements and future promises.

This paper systematically and critically reviews the literature on the intersection of circular economy practices (CEPs) and sustainability performance (SP). We synthesize and analyze the extant literature to uncover the knowledge gaps, highlight the contradictory views, and provide a comprehensive overview of the field. Following a detailed database search, we selected 104 empirical studies published in peer-reviewed journals for analysis. Our review reports the publication trends, top publishing journal outlets, research methodologies, and empirical contexts. We outline the theoretical underpinnings, identify the diverse circular economy practices and the key factors that impact circular economy practices and sustainable performance. The review shows a propensity for most authors to reuse established theories or not use theory at all, revealing the need for theory development. Furthermore, our analysis revealed that R&D and innovation, digital technologies, organizational capabilities/resources, and stakeholder and institutional pressure substantially influence the CEPs - SP relationship. Through our detailed assessment of the existing literature, we identified and proposed several themes and avenues for future research.

"That Was a State of Depression by Itself Dealing with Society": Atmospheric racism, mental health, and the Black and African American faith community.

Despite increased societal focus on structural racism, and its negative impact on health, empirical research within mental health remains limited relative to the magnitude of the problem. The current study-situated within a community-engaged project with members of a predominantly Black and African American church in the northeastern US-collaboratively examined depressive experience, recovery, and the role of racism and racialized structures. This co-designed study featured individual interviews (N = 11), a focus group (N = 14), and stakeholder engagement. A form of qualitative, phenomenological analysis that situates psychological phenomena within their social structural contexts was utilized. Though a main focal point of the study was depressive and significantly distressing experience, participant narratives directed us more towards a world that was structured to deplete and deprive-from basic neighborhood conditions, to police brutality, to workplace discrimination, to pervasive racist stereotypes, to differential treatment by health and social services. Racism was thus considered as atmospheric, in the sense of permeating life itself-with social, affective, embodied, and temporal dimensions, alongside practical (e.g., livelihood, vocation, and care) and spatial (e.g., neighborhood, community, and work) ones. The major thematic subsections-world, body, time, community, and space-reflect this fundamental saturation of racism within lived reality. There are two, interrelated senses of structural racism implicated here: the structures of the world and their impact on the structural dimensions of life. This study on the atmospheric nature of racism provides a community-centered complement to existing literature on structural racism and health that often proceed from higher, more population level scales. This combined literature suggests placing ever-renewed emphasis on addressing the causes and conditions that make this kind of distorted world possible in the first place.

Translational or translationable? A call for ethno-immersion in (empirical) bioethics research.

The shift towards "empirical bioethics" was largely triggered by a recognition that stakeholders' views and experiences are vital in ethical analysis where one hopes to produce practicable recommendations. Such perspectives can provide a rich resource in bioethics scholarship, perhaps challenging the researcher's perspective. However, overreliance on a picture painted by a group of research participants-or on pre-existing literature in that field-can lead to a biased view of a given context, as the subjectivity of data generated in these ways cannot (and should not wholly) be escaped. In response, we propose the implementation of a complementary approach of ethno-immersion in bioethics research. By positioning oneself in the context being researched, the researcher can better understand the realities of that context. The researcher's understanding will, naturally, be subjective too. However, it will act as a better developed and more informed outsider view, when considering the picture painted by participants and previous studies, thus enabling the researcher to introduce more nuance when analysing data. We introduce this approach after examining what we call the context detachment problem, whereby some bioethics scholarship-empirical or otherwise-fails to reflect the reality of the healthcare setting it concerns. Our proposed ethno-immersion (which differs from formal ethnography) is then explored as a response, highlighting its benefits, and answering the question of timing within a research project. Finally, we reflect on the applicability of our proposal to non-empirical bioethics scholarship, concluding that it remains important but may require some adjustments.

The impact of financial technology on China's low-carbon transformation of energy and mechanism analysis.

Financial technology provides strong support for the low-carbon transformation of energy through digital technology. There is limited research on the relationship between financial technology and low-carbon transformation of energy, and the information transmission and connection between the two entities are still unclear. Therefore, this paper innovatively conducts in-depth research on the spatial effect between financial technology and low-carbon transformation of energy and further analyzes the intermediary role of green finance in it. Firstly, the spatial Durbin model and spatial intermediary effect model between financial technology and low-carbon transformation of energy are constructed. Then, based on the Moran coefficient, the spatial effects of low-carbon transformation in financial technology and energy were analyzed. Finally, an empirical study was conducted using the panel data of China's provinces from 2011 to 2020. The results show that financial technology can effectively promote the energy transformation, and financial technology and the degree of low-carbon transformation of energy have significant spatial effects. From the perspective of intermediary effect, financial technology can effectively improve the green finance structure and promote low-carbon transformation of energy. From the perspective of spatial intermediary effect, while promoting the development of green finance in the local area, financial technology will also suppress the development of green finance in surrounding areas, thereby inhibiting the low-carbon transformation of energy in the surrounding areas. Therefore, China should strengthen the development of financial science and technology, guide the transformation of traditional finance, improve the coverage of green finance, and realize the low-carbon transformation of national energy.

Collaborative agglomeration level and spatial correlation of intercity manufacturing industry: An empirical study based on the cities of the Yangtze River Delta.

Taking 27 cities in the Yangtze River Delta as an example, the time section data from 2009 to 2019 are selected, and the location entropy index and the modified E-G index are introduced to measure the collaborative agglomeration level of intercity manufacturing industry in the Yangtze River Delta. The spatial weight matrix is constructed based on the highway mileage between cities. Using Moran's index and Local Moran's index, this article analyzes the spatial correlation of the collaborative agglomeration level of intercity manufacturing industry in the Yangtze River Delta. The results show that: Firstly, the overall agglomeration degree of manufacturing industry of cities in the Yangtze River Delta shows a fluctuating downward trend. The agglomeration degree of manufacturing industry in Jiangsu and Zhejiang Provinces has decreased, that of most cities in Anhui Province has increased steadily. Secondly, the collaborative agglomeration level of manufacturing industry between Shanghai, Nanjing, Hangzhou and other cities in Jiangsu and Zhejiang Provinces showed a downward trend, while the collaborative agglomeration level with Anhui cities increased steadily. The collaborative agglomeration level of manufacturing industry between Wuxi, Suzhou, Nanjing and cities with obvious advantages in manufacturing industry agglomeration degree shows an upward trend, while the collaborative agglomeration level with other cities has declined. The collaborative agglomeration level of intercity manufacturing industry in Hefei has generally improved, especially the collaborative agglomeration quality and depth of manufacturing industry between Hefei and other cities in Anhui Province have significantly improved. Thirdly, the regions with high collaborative agglomeration level of intercity manufacturing industry in the Yangtze River Delta are still mainly concentrated in Jiangsu and Zhejiang Provinces. Although there has been a trend of westward transfer in the past decade, the overall change range is small, and the spatial correlation of the collaborative agglomeration level of intercity manufacturing industry shows a weakening trend as a whole.

How does digital finance encourage the use of renewable energy in China? Inverse relationships from green finance.

A promising approach forfacilitating China's shift towards renewable energy sources entails combining digital finance and green financing. The present research investigates the supply chains and reverse logistics of significant financial indices, including the S&P Green Bond Index, the MSCI Global Markets Index, and the S&P Global Renewable Energy Index. The analysis encompasses the period from the creation of these indices on September 28, 2008, through January 12, 2022. To minimize risk, portfolios have increasingly adopted diverse indices, such as the S&P Global Clean Energy Index and the S&P Green Bond Index. This study investigates the intricate relationship between green financing and digital finance, shedding light on their combined impact on the uptake of renewable energy in China. This study examines the role of digital financial technologies, including blockchain, mobile payment systems, and big data analytics, in enhancing the accessibility of green financing choices for renewable energy projects. A comprehensive analysis of existing literature and empirical research is conducted to achieve this objective. The results emphasize the significant progress in improving financial inclusion, risk management, and transparency by integrating green financing and digital finance. As mentioned earlier, the enhancements have significantly enhanced the level of trust and assurance among investors operating within the renewable energy industry. Moreover, the report highlights the crucial need for continuous governmental backing and financial investments in digital financial infrastructure to drive China towards a more environmentally friendly and sustainable energy framework.

Renewable energy transition to sustainable tourism: extrapolating from core density and non-parametric approaches.

The globe has faced severe challenges recently, and environmental deterioration has become more prominent. Therefore, the world has taken several initiatives to deal with environmental issues while the problem remains intact. Interestingly, the OECD economies are the leading example to understand the accurate picture of sustainability across the near regions. This study makes an effort to introduce the core factors such as economic development, renewable energy, tourism, natural resources, and innovations in OECD economies over the period of 2000-2021. Similarly, to investigate the study's objectives, this study employs the quantile autoregressive distributed lag model (Q-ARDL). The analyzed results show the significant contribution of renewable energy, tourism, and natural resources to environmental sustainability. In contrast, income and innovations contribute to ecological deterioration. Moreover, the quantile causality is being used by this empirical study to investigate the causal association among studied variables. However, using green energy in sustainable tourism is highly recommended for specified economies. In order to deal with environmental pressure, this research proposes green implications to attain the desired sustainability level.

Study on the effect of digital economy development on carbon emissions: evidence from 30 provinces in China.

Currently, China is moving towards the era of the digital economy, which is gradually becoming a new engine of high-quality development. In the "double carbon" strategy context, the digital economy is characterized by low carbon emissions and high permeability, making it essential for carbon emission reduction. There needs to be more empirical research on the digital economy and carbon emissions. Given this, this study empirically examines the impact of digital economy development on carbon emissions intensity and its mechanisms in a multidimensional way based on the panel data of 30 provincial-level administrative regions in China from 2011 to 2019, utilizing a fixed-effects model, a mediated-effects model, a spatial Durbin model, and other methods. The study results show that (1) the digital economy can significantly reduce carbon emissions intensity. (2) The digital economy can indirectly affect the intensity of carbon emissions through industrial structure, energy structure, and environmental regulation. (3) The development of the local digital economy has a positive spillover effect on the carbon emissions intensity of neighbouring places. However, the overall effect is negative. This paper reveals some new features of the digital economy and carbon emissions intensity, which provides a reference for advancing the country's construction and realizing China's "double carbon" goal.

The impacts of economic policy uncertainty on firm cash holding in China.

Cash holding is an important strategic decision of enterprises. As a macro-level factor, economic policy uncertainty causes risks, affecting enterprises' cash holdings. Taking the quarterly financial data of China's A-share non-financial listed firms for 2010-2020 as a sample, this study adopts the OLS and fixed effect models to investigate how corporate cash holdings are affected by economic policy uncertainty. The findings indicate that economic policy uncertainty is directly proportional to the level of cash that listed corporations hold. The higher the uncertainty, the more cash the company holds. Among them, state-owned enterprises and the manufacturing industry are more significantly affected by economic policy uncertainty. Finally, considering the regional marketization level and the differences in financing constraints enterprises face, it is concluded through grouping empirical studies that enterprises located in regions with lower marketization levels are more susceptible to policy uncertainty, while financially constrained enterprises are more susceptible to economic policy uncertainty. The study of economic policy uncertainty is helpful to guide enterprises to realize the importance of coping strategies in advance under the background of intensifying economic policy uncertainty. Therefore, this paper proposes to introduce policies on the premise of fully considering the smoothness of the economy and the differences in the conditions of firms of different natures, as well as some proposals to alleviate financing constraints, reduce the adverse effects of uncertainty on firms, and bolster the marketization process.

Intervening long-run fundamentals of fossil energy demand-an effort towards responsible and clean energy consumption.

Energy is crucial for growth, but over-reliance on fossil energy undermines sustainability. COP27 has emphasized over transition towards clean energy. Empirical studies have pointed out that energy transition requires infrastructure development which is costly in the short run. Global and national efforts to transition to renewable energy require investigating what matters in global fossil energy demand. While empirical studies have focused on motivating renewable energy, this study explores the determinants of fossil energy in anticipation of reducing its reliance and moving towards sustainable development goals. A non-linear panel quantile ARDL regression was deployed using data from 137 countries and showed that increased forest and natural resource rents and health expenditures are already playing their role. The quadratic models highlighted the importance of optimizing resource rents to nudge the renewable resource decision. Now, policymakers need to intervene in terms of income, education, and fossil energy rents to help households and firms prefer renewable energy sources and move towards sustainability.

Orientation of internet use, government trust, and public environmental satisfaction an empirical study in Mainland China.

Public environmental satisfaction is related to the healthy living standard of human beings and sustainable development of an economic society. In the context of the continuous updating of Internet technologies, it is necessary to study the correlation between Internet use and public environmental satisfaction, but few studies have focused on the effect of the orientation of Internet use on public environmental satisfaction, and its mediating mechanisms. This study considered survey data from the China Social Survey 2019 which were conducted in a sample of 5,112 residents, SPSS 16.0 and ordinary least squares regression model was used to analyze the relationship between orientation of Internet use, government trust and public environmental satisfaction. The results showed politically-oriented Internet use was positively correlated with public environmental satisfaction, and entertainment-oriented Internet use did not correlate with public environmental satisfaction. Furthermore, government trust partially mediated the relation between politically-oriented Internet use and public environmental satisfaction. Several implication policies are suggested for improving public environmental satisfaction. This study takes into account individual initiative and government's control of information during Internet use, emphasizes the impact of different individual Internet use preferences on environmental satisfaction in the web environment with strong government control. By incorporating individual factors at the micro level and social factors at the macro level, this paper is in order to improve public environmental satisfaction.