The dynamic role of technological innovations and energy structure in China's industrial coal consumption growth: a joint production theoretical decomposition analysis

China's energy-intensive industries utilize the leading proportion of coal to meet the demand for its industrial outputs, while on the other hand, these industries also assure the provision of livelihood to millions of people, and capping the share of coal consumption for these industries can adversely affect the industrial and economic growth of China. Thus, to achieve the Pareto improvement between environmental pollution and industrial output growth, it is essential to comprehend the patterns of coal consumption in these industries. Hence, the present research intended to analyze the potential drivers of coal consumption by applying a joint LMDI, DEA, and the production theoretical decomposition approach. Findings indices that, first, industrial output growth was the crucial driver to simulate the industrial coal consumption, while the potential coal intensity and coal technology changes exhibited the reverse effect. Second, the coal inputs and industrial output efficiency, along with the improvements in technological gaps, were found to be the imperative factors in decelerating coal consumption. Third, the energy industrial group was discovered to have more potentials of coal conversation as compared to the non-energy industrial group. Moreover, results also indicated that coal pure technical efficiency is accelerating coal growth, which revealed that coal can be saved by enhancing coal allocative efficiency. These findings laid the empirical ground to design a feasible coal conservation policy for achieving the imperative goals of environmental protection without compromising industrial output growth.

Global renewable energy trade network: patterns and determinants

The renewable energy product trade is critically important to global economic prospects and its rapid development, making it a key issue in international economics of much interest to scholars. Previous studies have paid attention to bilateral trade, yet we still know little about the patterns of renewable energy product trade and its evolution from the whole industry perspective. Based on bilateral trade data, complex network, as well as ERGM and TERGM, we build global renewable energy trade networks (GRETNs) during 2000-2018 and explore the patterns and determinants. The results show that (1) the GRETNs expand during 2000-2018, characterized by a small-world, reciprocity, degree disassortative, and export volume heterogeneity. (2) The GRETNs form four communities, and the community patterns greatly fluctuate over time. (3) Economies in North America, Europe, and Asia play dominant roles, while the USA, Germany, and China are the cores of the GRETNs. (4) Endogenous structure of reciprocity, structural embeddedness, and out-degree popularity are essential parts of the evolving patterns of GRETNs. Most trade relationships are developed between economies located within the same continent, participating in APEC or WTO, or having similar areas. There is heterophily in GDP and per capita income, and Matthew effects in GDP, urbanization, and industrialization rate. Countries that share a common geographic border, language, religion, or currency, being former colonies of the same colonialists, and having signed regional trade agreements are more likely to trade in renewable energy products.

Between Sacredness and Public Health: Global Religious Sacred Places and the Fight Against COVID-19

This paper aims to explore the diverse impacts of religious sacred places on specific spheres of contemporary international relations, particularly in the context of public health governance as well as the fight against COVID-19. The spread of disease or germs and viruses within the context of pilgrimage, the healing purposes associated with such practices, as well as historical conquests of sacred places have attracted the attention of ancient physicians and modern scientists. In the nineteenth century, many Abrahamic religions sought to strengthen their influence in the Holy Land, particularly in the sacred city of Jerusalem. As part of their efforts, they focused on constructing modern hospitals, which became a means of religious competition over the region. From the perspective of the specific relationship between the sacred places and the public health governance system in the modern age, sacred places continue to succeed in animal management (native animals and sacrifice animals), water source management (sacred water and holy rivers), and management of sanitary quarantine (the extension of homeland health security defense), which have present positive effects. Based on the literature review, case analysis and interdisciplinary research methods, several findings have emerged regarding the global fight against COVID-19 since early 2020. Mecca-Medina, Jerusalem-Bethlehem, Rome-Vatican, Santiago de Compostela, Qom, and other religious sacred cities have faced huge pandemic pressures. These cities have played unique roles in protecting the health of pilgrims and have implemented measures to reduce the number and scale of pilgrimages in response to the global mobility challenges posed by the pandemic.

Market or regulation? The competition effect between green finance and environmental enforcement on environmental quality and its "dominate-follow" pattern

Current research on environmental instruments often isolates the two mainstream types, market-based and regulation-based, overlooking their real-world interactions. In response, the intensity gap variable (EII_GAP) is constructed to link various instruments into a united system. Thus, based on the spatial econometrics of the spatial panel Durbin model (SPDM), the collective effects between market- and regulation-based environmental instruments on environmental quality are explored. Moreover, the political strategies for maximizing environmental benefits are discussed. Results show that the interaction pattern between market- and regulation-based environmental instruments on environmental quality is characterized by competition rather than cooperation. A unit widening in the intensity gap leads to 17 to 18% and 12 to 18% units of environmental quality improvement in local and adjacent areas, respectively. Furthermore, the "dominate-follow" approach as the most effective mode for maximizing environmental effects is proposed. This study recommends employing one type of instrument as the dominant while the other as the auxiliary. In provinces where one kind of environmental instrument takes domination, the environmental quality could be increased by around 8 to 113% after taking another contrary instrument as the auxiliary.

Parenting links to parent-child interbrain synchrony: a real-time fNIRS hyperscanning study

Parent-child interaction is crucial for children's cognitive and affective development. While bio-synchrony models propose that parenting influences interbrain synchrony during interpersonal interaction, the brain-to-brain mechanisms underlying real-time parent-child interactions remain largely understudied. Using functional near-infrared spectroscopy, we investigated interbrain synchrony in 88 parent-child dyads (Mage children = 8.07, 42.0% girls) during a collaborative task (the Etch-a-Sketch, a joint drawing task). Our findings revealed increased interbrain synchrony in the dorsolateral prefrontal cortex and temporo-parietal areas during interactive, collaborative sessions compared to non-interactive, resting sessions. Linear regression analysis demonstrated that interbrain synchrony in the left temporoparietal junction was associated with enhanced dyadic collaboration, shared positive affect, parental autonomy support, and parental emotional warmth. These associations remained significant after controlling for demographic variables including child age, child gender, and parent gender. Additionally, differences between fathers and mothers were observed. These results highlight the significant association between brain-to-brain synchrony in parent-child dyads, the quality of the parent-child relationship, and supportive parenting behaviors. Interbrain synchrony may serve as a neurobiological marker of real-time parent-child interaction, potentially underscoring the pivotal role of supportive parenting in shaping these interbrain synchrony mechanisms.

Cognitive and neural mechanisms of voluntary versus forced language switching in Chinese-English bilinguals: an fMRI study

The ecological validity of bilingual code-switching has garnered increasing attention in recent years. Contrary to traditional studies that have focused on forced language switching, emerging theories posit that voluntary switching may not incur such a cost. To test these claims and understand differences between forced and voluntary switching, the present study conducted a systematic comparison through both behavioral and neural perspectives. Utilizing fMRI alongside picture-naming tasks, our findings diverge from prior work. Voluntary language switching not only demonstrated switching costs at the behavioral level but also significantly activated brain regions associated with inhibitory control. Direct comparisons of voluntary and forced language switching revealed no significant behavioral differences in switching costs, and both shared several common brain regions that were activated. On the other hand, a nuanced difference between the two types of language switching was revealed by whole-brain analysis: voluntary switching engaged fewer language control regions than forced switching. These findings offer a comprehensive view of the neural and behavioral dynamics involved in bilingual language switching, challenging prior claims that voluntary switching imposes no behavioral or neural costs, and thus providing behavioral and neuroimaging evidence for the involvement of inhibitory control in voluntary language switching.

In quest of China sports lottery development path to common prosperity in 2035

OBJECTIVES

The China sports lottery contributes to sports and welfare causes. This study aims to construct a macro forecasting model supporting its sustained growth aligned with Vision 2035.

METHODS

The modeling employed a distributional regression. Sales data of the China sports lottery from 2011 to 2022 were chosen as the response variable, alongside various macro- and event-level explanatory factors.

RESULTS

A gamma distribution best fit the data. In the stable model spanning 2011-2019, urbanization, population dynamics, and FIFA emerged as significant contributors (Chi-square p < 0.05) to the location shift parameter. These three factors retained their significance in the 2011-2022 shock model, where shock itself notably impacted sales (p < 0.001). Utilizing the shock model, we simulated the trajectory of the China sports lottery up to 2035. China's demographics changes are poised to create structural headwinds starting in 2026, leading to an anticipated decline in sales driven by population shifts from 2032 onward. However, the FIFA effect is projected to continue fortifying this sector.

CONCLUSIONS

Beyond offering original insights into the sales trajectory until 2035, specifically concerning new urbanization, negative population growth, and the FIFA effect, this macro forecasting framework can assist in addressing the policy priority of balancing growth with risk mitigation. We recommend policymakers connect market development with mass sports, potentially garnering a dual boost from the growing population of older consumers and the inherent benefits of a "FIFA (mass sports)" effect. A people-centered approach to the China sports lottery could significantly contribute to the long-range objectives of achieving common prosperity outlined in Vision 2035.

Evaluation of tumor microvasculature with 3D ultrasound localization microscopy based on 2D matrix array

OBJECTIVE

Evaluation of tumor microvascular morphology is of great significance in tumor diagnosis, therapeutic effect prediction, and surgical planning. Recently, two-dimensional ultrasound localization microscopy (2DULM) has demonstrated its superiority in the field of microvascular imaging. However, it suffers from planar dependence and is unintuitive. We propose a novel three-dimensional ultrasound localization microscopy (3DULM) to avoid these limitations.

METHODS

We investigated 3DULM based on a 2D array for tumor microvascular imaging. After intravenous injection of contrast agents, all elements of the 2D array transmit and receive signals to ensure a high and stable frame rate. Microbubble signal extraction, filtering, positioning, tracking, and other processing were used to obtain a 3D vascular map, flow velocity, and flow direction. To verify the effectiveness of 3DULM, it was validated on double helix tubes and rabbit VX2 tumors. Cisplatin was used to verify the ability of 3DULM to detect microvascular changes during tumor treatment.

RESULTS

In vitro, the sizes measured by 3DULM at 3 mm and 13 mm were 178 [Formula: see text] and 182 [Formula: see text], respectively. In the rabbit tumors, we acquired 9000 volumes to reveal vessels about 30 [Formula: see text] in diameter, which surpasses the diffraction limit of ultrasound in traditional ultrasound imaging, and the results matched with micro-angiography. In addition, there were significant changes in vascular density and curvature between the treatment and control groups.

CONCLUSIONS

The effectiveness of 3DULM was verified in vitro and in vivo. Hence, 3DULM may have potential applications in tumor diagnosis, tumor treatment evaluation, surgical protocol guidance, and cardiovascular disease.

CLINICAL RELEVANCE STATEMENT

3D ultrasound localization microscopy is highly sensitive to microvascular changes; thus, it has clinical potential for tumor diagnosis and treatment evaluation.

KEY POINTS

• 3D ultrasound localization microscopy is demonstrated on double helix tubes and rabbit VX2 tumors. • 3D ultrasound localization microscopy can reveal vessels about 30 [Formula: see text] in diameter-far smaller than traditional ultrasound. • This form of imaging has potential applications in tumor diagnosis, tumor treatment evaluation, surgical protocol guidance, and cardiovascular disease.

Retention of the highly educated migrants: from the perspective of urban e-service capability

BACKGROUND

Talent is a crucial resource for economic and social development, serving as the driving force behind urban progress. As China experiences rapid growth in digital city construction, the capability of e-services continues to improve incessantly. In China, the new-generation highly educated migrants (NGHEMs) account for ~ 20-30% of the total floating populations. This study aimed to explore the settlement intention of new-generation highly educated migrations in China from the new perspective of urban e-service capabilities. Furthermore, the mechanism of the urban e-services on the settlement intention on the NGHEMs will be proved.

METHODS

This paper employed data of China Migrants Dynamic Survey in 2017 and Evaluation Report of Government E-service Capability Index (2017). Descriptive analyses were conducted to investigate the factors influencing the settlement intention of NGHEMs in the destination city. Based on the principle of utility maximization, LASSO regression was employed to select individual and city characteristics that determined the settlement intention of NGHEMs. The impact of urban e-services on settlement intention was analyzed by using ordinal logit model. Additionally, robustness check, endogeneity analysis, and heterogeneity analysis were performed to validate the benchmark regression results. Finally, mediation model was employed to examine whether urban e-services enhance the settlement intention of NGHEMs by improving urban livability and urban innovation.

RESULTS

The results indicate that the urban e-services promote the NGHEMs' settlement intention in the destination cities. Moreover, the results are still robust through a series of robustness tests. Furthermore, from the perspective of individual and regional heterogeneity, urban e-services significantly enhances the settlement intention of NGHEMs with male and female, married and urban household registration, and urban e-services can promote the settlement intention of NGHEMs with over 3 million inhabitants and those in the eastern regions of China. Finally, the intermediary effect test shows that urban e-services promote the settlement intention of NGHEMs through urban livability and urban innovation.

CONCLUSION

This study highlights the important impact of urban e-services on the settlement intention of new-generation highly educated migrants. The conclusions of this study provide suggestions for the government to use when designing policies to enhance the settlement intention of the NGHEMs and to improve the development of urban e-services.

Does digital technology make people healthier: the impact of digital use on the lifestyle of Chinese older adults

BACKGROUND

With the arrival of the era of large-scale production, sharing and application of data, digital use has gradually changed people's daily entertainment, consumption, social interaction, learning and other behaviors in its efficient form. This paper mainly discusses whether this fast and convenient behavior leads Chinese older adults to adopt healthier lifestyles.

METHODS

Using the most recent information from the Chinese Family Panel Studies (CFPS) in 2020, this paper conducted a descriptive statistical analysis on the basic situation of digital use and lifestyles among Chinese older adults and used a structural equation model to analyse the influence of frequency and types of digital use in a variety of different aspects of the real life of Chinese older adults.

RESULTS

Research revealed that the quality of life of Chinese older adults improved significantly as a result of their use of digital technology. The frequency of digital use (FDU) significantly improved Chinese older adults' diet, sleep, exercise, smoking and drinking, and relieved their depression. The types of digital use (TDU) had a significant positive correlation with the lifestyle of Chinese older adults, especially in the influence of digital entertainment (DE), digital consumption (DC) and digital social interaction (DI) on the lifestyle of Chinese older adults.

CONCLUSIONS

Digital use can improve the health of Chinese older adults by promoting a healthy lifestyle through various means. The findings of this study have a substantial positive impact on bridging the digital divide that Chinese older adults face, as well as fostering the integration of digital use into their healthy lifestyles.

Tracking the carbon flows in municipal waste management in China

Municipal solid waste (MSW), a carbon-intensive waste stream, may create both instant and indirect impacts onto environmental and climate management. Despite multiple studies made for greenhouse gases (GHGs) emissions of municipal waste, this research aims to achieve a comprehensive assessment for the carbon cycle by exploring evolution of waste composition and temporal-spatial disparities in waste management. Carbon flows embodied in MSW have been estimated across 31 provinces in Mainland China in the period 2000-2018. This improved estimation could be 15-40% smaller than the conventional estimation employing a constant waste composition. Aggregately some 578 ± 117 megatonnes carbon (MtC) were contained in MSW, including 239 ± 60 Mt of fossil carbon and 339 ± 58 Mt of degradable organic carbon. After treatment, 299 ± 66 MtC were possibly deposited in landfills and dumps. 279 ± 51 MtC were released to the atmosphere, creating net GHGs emissions equivalent to1870 ± 334 megatonnes of CO2 (MtCO2e). MSW generation in China nearly doubled during the period, net GHGs emissions increased by 1.8×, whereas fossil carbon grew by a factor of 3.5, mainly propelled by an increasing content of waste plastic in MSW. More rapid growth was witnessed in provinces in southern China than in northern. Distinct spatial-temporal evolution of waste and carbon metabolism was driven by increment, composition, and management effects. In the long run, the increment and composition effects may drop off. Enhanced practices of waste management integrating the circular economy are needed to fully recycle carbon flows, minimize emissions, and manage carbon deposits in aging landfills and dumps.

Study on Key Factors Influencing Coordination Effectiveness of Food Safety Coordinating Body: Lessons from the Chinese Context

Many countries have established food safety coordination agencies to strengthen cooperation between government agencies. Due to different national conditions, there are differences in the coordination agencies of different countries, but there are also many similarities. This article studies the key factors influencing the coordination effectiveness of China's food safety coordinating body, so as to enhance interagency collaboration. The results show that the coordination ability of the coordinating body's head, the authority degree of the coordinating body, the clarity degree of the agency's legal responsibility, and the clarity degree of the coordination goal are key factors influencing the coordination effectiveness. The conclusions indicate that the key factors influencing the coordination effectiveness of China's food safety commissions are similar to the key factors in Western countries, without evident differences due to national situations, social systems, and cultures. This article will be useful to policymakers and public sector managers in terms of understanding which key factors influence the coordination effectiveness of coordinating agencies. Moreover, this study provides a perspective for the academic circle from which to understand the main problems faced in the interagency collaborative governance of food safety risks in China.

Regional population and social welfare from the perspective of sustainability: Evaluation indicator, level measurement, and interaction mechanism

Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021. The research results show that: Firstly, the comprehensive evaluation results of population in Nanchong shows a linear upward trend, which indicates the stable positive effect of population structure and distribution, the gradual improvement effect of population quality effectively compensate for the weakening effect of population quantity, thus achieving the positive development of population. Secondly, the comprehensive evaluation results of social welfare in Nanchong shows an exponential upward trend, which indicates the social welfare has maintained a rapid growth momentum in various dimensions and the long-term positive effects have completely absorbed the negative effects, thus achieving the positive development of social welfare. Thirdly, during the sample period, the population and social welfare in Nanchong consistently maintained a high level of interaction strength, with factors diffusing and integrating. On this basis, the diffusion theory is used as an empirical reference to construct three interactive mechanisms between the population and social welfare in Nanchong and the implications are inferred from the empirical results.

How social organizations participate in social governance in China: Official media's attention distribution analysis (1949-2021)

The attitude of the Chinese government towards social organizations (SOs) is crucial, as it affects the management rule and development tendency of SOs. To research the rule of SOs' participation in social governance in China, this study used a new historical perspective, the institutional development perspective, to conduct its exploration. This perspective provides an accurate measure of the reality of the SOs' participation, as it involves a mixed research methodology using continuous data from 73 years of reports and content mining, as well as topic clustering analysis to reveal a macroscopic and multi-line picture. Using a co-word analysis of hundreds of reports, from 1949-2021, in the People's Daily, an official newspaper of the Communist Party of China, this study quantified changes in intensity, emotion, and content regarding social organization participation in social governance through topic distribution. Three trends were revealed: (1) "social-oriented character" and "organized-oriented character" were identified during the change in SOs; (2) the extent of being managed gradually strengthened and shifted from the Communist Youth League of China to the Community Party of China; (3) the goals of SOs shifted from general to innovated function in special charitable organizations. The institutional development perspective can complement the focus event perspective, including a new method, co-word analysis, to examine official Chinese media and validate the Administrative Absorption of Society (AAS) theory by identifying two lines of topic clustering trends. The attention distribution analysis in official media from an institutional development perspective can help explore the role of official media reports in analyzing the allocation of national attention and provide new analytical methods for big data mining to establish the social and organizational natures of SOs to optimize their roles. It offers a basis for modern social governance policy innovation in China.

Experiences of cancer survivors returning to work decision-making: a meta-synthesis of qualitative studies

PURPOSE

Return to work for cancer survivors (CSs) may be challenging, and there is a research gap in integrating the relevant experiences of the return-to-work decision-making process for CSs. Our aim was to synthesize existing qualitative research that integrates the dynamic experiences of CSs in the return-to-work decision-making process and highlights the factors influencing the return-to-work decisions of CSs.

METHODS

We retrieved qualitative studies on a relevant theme published in the PubMed, EBSCO, Scopus, Web of Science, Cochrane Library, and CINAHL databases since construction to December 2023. Literature screening, quality evaluation, and data analysis followed the PRISMA, Joanna Briggs Institute Critical Appraisal Tool (2016), and thematic analysis methods to ensure study reliability. The study was registered on PROSPERO (registration number: CRD42023429623).

RESULTS

Ten articles were included, and six key outcomes were identified based on Social Cognitive Career Theory (SCCT) integration: points of concern for individuals, sense of self-efficacy, outcome expectations, work perception and belonging, medical advice and guidance, and effects of the external reactions.

CONCLUSION

The decision-making process for CSs to return to work is affected by various personal and external factors. Effectively addressing personal appearance, financial, and emotional issues can enhance self-efficacy of CSs. Improving external perceptions of cancer patients and enhancing social support in the workplace and medical settings can help CSs make informed decisions regarding their return to work.

IMPLICATIONS FOR CANCER SURVIVORS

The decision of CSs to return to work is a result of integrating personal, job, and medical care considerations. These findings contribute to the development of future interventions for CSs' return-to-work decisions that target an array of potential factors.

The impact of additional visual tasks in physical exercise on balance ability among 9-10-year-old children: the mediating effect of visual acuity

Purpose

This study aimed to explore the effects of additional visual tasks in physical exercise on the vision and balance ability of children, and to verify whether children's vision mediated the influence of physical exercise on their balance ability.

Methods

The study randomly selected 86 students aged 9-10 years old from a school in Suzhou city, dividing them into an experimental group (n = 43) and a control group (n = 43). The experimental group participated in physical exercise with additional visual tasks, while the control group engaged in routine physical exercise. The experiment lasted for 16 weeks, with kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), static balance, and dynamic balance measured before and after the experiment.

Results

The results showed that after the experiment, the experimental group had significantly improved kinetic visual acuity (KVA), uncorrected distance visual acuity (UDVA), static balance, and dynamic balance. In contrast, the control group had significantly decreased kinetic visual acuity, no significant improvement in uncorrected distance visual acuity, and no significant difference in dynamic balance and static balance. In the experimental group, there was a moderate positive correlation between kinetic visual acuity and uncorrected distance visual acuity, and a moderate positive correlation between uncorrected distance visual acuity and both static and dynamic balance. The study also found that uncorrected distance visual acuity partially mediated the effect of additional visual tasks during physical exercise on static and dynamic balance among children.

Conclusion

In conclusion, adding visual tasks to physical exercise had a positive effect on improving children's vision and balance ability. Kinetic visual acuity and uncorrected distance visual acuity were positively correlated, and uncorrected distance visual acuity was positively correlated with both static and dynamic balance. Uncorrected distance visual acuity partially mediated the effect of physical exercise on children's balance ability.

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

The construction of an integrated national strategic system and capability is an essential goal of implementing the strategy of military-civilian integration in the contemporary era. And the collaborative innovation of military-civilian S&T is an inevitable choice to achieve this goal. Due to the dynamic, complex, and stochastic characteristics of military-civilian S&T collaborative innovation, the level of S&T innovation is highly volatile. This paper takes the internal and external stochastic disturbance factors of military-civilian S&T collaborative innovation as the perspective, studies the strategy selection problem of military-civilian S&T collaborative innovation under military domination, constructs a differential game model to explore the innovation strategies under the non-cooperative model without military subsidies, the non-cooperative model with military subsidies, and the collaborative model. Finally, we use numerical experiments to verify the validity of the conclusions. The study shows that: (1) Within a reasonable range of values of the benefit distribution coefficient, the system can achieve the Pareto optimum, and the collaborative model is conducive to improving the S&T innovation level and the optimum benefit level of the system. (2) Military subsidies can increase the benefits of the system and the parties involved to achieve Pareto improvement. (3) The level of S&T innovation under the collaborative model has dynamic evolutionary characteristics of maximum expectation and variance. As the intensity of disturbance increases, the stability of the system may be destroyed. Risk-averse civil enterprises prefer the cooperative mode, whereas risk-averse civil enterprises prefer the non-cooperative model.

Spatial structure and network characteristics of the coupling coordination innovation ecosystems in the Guangdong-Hong Kong-Macao Greater Bay area

In recent times, a new wave of scientific and technological advancements has significantly reshaped the global economic structure. This shift has redefined the role of regional innovation, particularly in its contribution to developing the Guangdong-Hong Kong-Macao Greater Bay area (GBA) into a renowned center for science, technology, and innovation. This study constructs a comprehensive evaluation system for the Regional Innovation Ecosystem (RIE). By applying the coupling coordination degree model and social network analysis, we have extensively analyzed the spatial structure and network attributes of the coupled and coordinated innovation ecosystem in the GBA from 2010 to 2019. Our findings reveal several key developments: (1) There has been a noticeable rightward shift in the kernel density curve, indicating an ongoing optimization of the overall coupling coordination level. Notably, the center of gravity for coupling coordination has progressively moved southeast. This shift has led to a reduction in the elliptical area each year, while the trend surface consistently shows a convex orientation toward the center. The most significant development is observed along the 'Guangdong-Shenzhen-Hong Kong-Macao Science and Technology Innovation Corridor', where the level of coupling coordination has become increasingly pronounced. (2) The spatial linkages within the GBA have been strengthening. There are significant spatial transaction costs in the regional innovation ecological network. In the context of the 2019 US-China trade war, the cities of Jiangmen and Zhaoqing experienced a notable decrease in connectivity with other cities, raising concerns about their potential marginalization. (3) Guangzhou, Shenzhen, and Hong Kong have emerged as core nodes within the network. The network exhibits a distinctive "core-edge" spatial structure, characterized by both robustness and vulnerability in various aspects.

Family roles in informed consent from the perspective of young Chinese doctors: a questionnaire study

BACKGROUND

Based on the principle of informed consent, doctors are required to fully inform patients and respect their medical decisions. In China, however, family members usually play a special role in the patient's informed consent, which creates a unique "doctor-family-patient" model of the physician-patient relationship. Our study targets young doctors to investigate the ethical dilemmas they may encounter in such a model, as well as their attitudes to the family roles in informed consent.

METHODS

A questionnaire was developed including general demographic characteristics, the fulfillment of the obligation to fully inform, who will be informed, and the ethical dilemmas in decision-making. We recruited a total of 421 doctors to complete this questionnaire, of which 368 met the age requirements for this study. Cross tabulation and Pearson's chi-squared test were used to analyze the differences between types of patients for categorical variables, and a p-value < 0.05 was considered statistically significant.

RESULTS

Our data shows that only 20 doctors (5.40%) stated "informing the patient alone is sufficient" when it comes to informing patients of their serious conditions. The rest of the participants would ensure that the family was informed. When facing elderly patients with decision-making capacity, the data was statistically different (3.8%; P < 0.001) The primary reason for ensuring that family members be informed differs among the participants. In addition, when family members asked doctors to conceal the patient's medical condition for the best interests of patients, 270 doctors (73.4%) would agree and cooperate with the family. A similar proportion (79.6%) would do so when it comes to elderly patients.

CONCLUSIONS

(1) Chinese doctors pay extra attention to informing the patient's family, which may not be in the patient's best interests. (2) Chinese doctors treat adult (but not elderly) patients and elderly patients differently when it comes to informing family members. (3) When family members request that doctors withhold information from patients "in the best interest of the patient," the majority choose to comply with the request, although this may cause them distress.

Good learners or trouble makers? Study on the relationship between academic performance and antisocial behavior of junior high school students

The school bullying incident has aroused widespread concern in current society. How to manage students' anti-social behavior has become an increasingly serious problem for administrators. This study uses a sample of 8270 junior high school students to examine the mechanism of academic achievement on students' antisocial behavior. The results showed that academic performance has a U-shaped impact on antisocial behavior. This study further found that the U-shaped effect of academic performance on antisocial behavior was mediated by the praise; In addition, this study also found that moral identity moderates the U-shaped relationship between academic performance, praise, and antisocial performance. The findings provide the implications for school administrators and teachers to pay attention to the "moral trap" of academic achievement and praise, and pay attention to excellent students' moral education, to reduce the possibility of their anti-social behavior.

What influences the public's willingness to report health insurance fraud in familiar or unfamiliar healthcare settings? a cross-sectional study of the young and middle-aged people in China

INTRODUCTION

Young and middle-aged people are important participants in the fight against health insurance fraud. The study aims to investigate the differences in their willingness to report health insurance fraud and the factors influencing it when it occurs in familiar or unfamiliar healthcare settings.

METHODS

Data were obtained from a validated questionnaire from 828 young and middle-aged people. McNemar's test was used to compare the public's willingness to report under the two scenarios. Chi-square tests and multiple logistic regression analysis were used to analyze the determinants of individuals' willingness to report health insurance fraud in different scenarios.

RESULTS

Young and middle-aged people were more likely to report health insurance fraud in a familiar healthcare setting than in an unfamiliar one (McNemar's χ²=26.51, P < 0.05). Their sense of responsibility for maintaining the security of the health insurance fund, the government's openness about fraud cases, and the perception of their ability to report had significant positive effects on the public's willingness to report in both settings (P < 0.05). In a familiar healthcare setting, the more satisfied the public is with government measures to protect whistleblowers, the more likely they are to report (OR = 1.44, P = 0.025). Those who perceive the consequences of health insurance fraud to be serious are more likely to report than those who perceive the consequences to be less serious (OR = 1.61, P = 0.042).

CONCLUSION

Individuals are more likely to report health insurance fraud in familiar healthcare settings than in unfamiliar ones, in which their awareness of the severity of the consequences of health insurance fraud and their perceived risk after reporting it play an important role. The government's publicizing of fraud cases and enhancing the public's sense of responsibility and ability to maintain the safety of the health insurance fund may be a way to increase their willingness to report, regardless of whether they are familiar with the healthcare setting or not.

Does digital technology innovation promote low-carbon development in agriculture?: A spatial econometric analysis based on 31 provinces in China

China's traditional agriculture has grown quickly but at the cost of excessive pollution and energy consumption. Therefore, low-carbon development in agriculture is crucial to achieving "carbon neutrality" and "carbon peaking." With the development of China's digital economy and the construction of digital villages in recent years, digital technology innovation (DTI) is probably going to a significant role in lowering agricultural carbon emissions (ACEs). Based on Chinese provincial panel data from 2006 to 2021, we analyze the spatial and temporal evolution characteristics of DTI and ACE, explore the impact and the pathways of DTI on ACE using a spatial econometric model, and reveal this impact's heterogeneity and nonlinear character. The findings show that DTI and ACE increased significantly throughout all Chinese provinces. DTI agglomeration is becoming stronger, whereas ACE displays a tendency for discontinuous distribution. DTI is essential in promoting low-carbon development in agriculture, and there are significant spatial spillover effects due to technology spillovers. Heterogeneity analysis indicates that DTI has positive impacts on local agriculture in different regions. However, there is variation in the impact's degree. The mechanism test's findings show how DTI reduces ACE by improving technology and enhancing resource endowment. The relationship between DTI and ACE exhibits an inverted "U" curve, and the level of economic development is the threshold variable that constrains the relationship between the two variables. To achieve a regional balanced low-carbon development in agriculture through DTI, it is important to emphasize the impact of DTI on reducing carbon emissions and to encourage the transfer of mature technology from high-level regions to low-level regions.

Facilitating or inhibiting? The impact of environmental information disclosure on enterprise investment value

Environmental protection, which is beneficial for the present and the future, has become a global consensus, and environmental information disclosure (EID) is an effective way to realize and fulfill enterprise environmental responsibility. Although some scholars have studied the impact of EID on firms, there is less empirical evidence on the impact of EID on investors. In this study, we examine the impact of EID on enterprise investment value based on signaling theory using a time-varying difference-in-differences model and extract two channels of this effect. The study shows that the implementation of EID helps to enhance the value of enterprise investment. This enhancement will vary according to the location, the industry pollution type, and the nature of the enterprise: EID has a remarkable enhancement effect on the investment value of the eastern region, heavily polluted enterprises, and non-state-owned enterprises. To investigate the channel of EID's effect on enterprise investment value, we use the moderating effect model to analyze and find that enterprises with low tax ratios and small financing constraints can significantly enhance the effect of EID on investment value.

Multidimensional risk spillover among power, coal, and carbon markets: empirical evidence from China

Amidst the "double carbon" target, China is vigorously promoting the transformation of the electricity and coal markets and carbon markets widely regarded as an effective policy tool for managing carbon emissions. Leveraging sample data from January 3, 2017, to December 16, 2022, this study investigates the risk spillover effects among China's power, coal, and carbon markets via rolling window technology and the DY spillover index. The empirical results indicate a significant long-term two-way asymmetric spillover effect among these markets. Specifically, the Guangdong carbon market acts as both an exporter and receiver of risky fluctuations across the two sample periods. The coal market primarily exhibits a net risk spillover effect on the Guangdong and Hubei carbon markets. Furthermore, the aggregate spillover index reveals that the volatility spillover effects of the power, coal, and carbon markets are significantly amplified by extreme risk events. The rise and volatility of coal prices under the influence of these extreme risk events may lead to government intervention in the power sector, which in turn has an impact on the coal market. These findings underscore the time-varying nature of risk spillovers among markets and have important implications for risk management and the construction of diversified energy markets.

Hybridized gated recurrent unit with variational mode decomposition and an error compensation mechanism for multi-step-ahead monthly rainfall forecasting

Highly accurate monthly rainfall predictions can provide early warnings for rain-related disasters, such as floods and droughts, and allow governments to make timely decisions. This paper proposes a two-phase error compensation model based on a gated recurrent unit (GRU), variational mode decomposition (VMD), and error compensation mechanism (ECM) (GRU-VMD-ECM) for accurate multi-step-ahead monthly rainfall forecasts. In the first phase, the GRU model is used to make an initial monthly rainfall prediction, and the error series is extracted. In the second phase, the error series is decomposed into eight subseries using the VMD method. Each subseries is then input into the GRU model to build different forecasting models. These predicted error sequences are added to the initial prediction results to obtain the final forecast. The model's performance is tested using six evaluation indicators based on Beijing's monthly rainfall data from 1951 to 2018. The results show that the error compensation mechanism significantly improved the prediction accuracy, particularly in the Nash-Sutcliffe efficiency (NSE) of single-step-ahead prediction which recorded a substantial increase of 281.16% from 0.259981 to 0.990944, as well as a decrease in root mean square error (RMSE) from 2.257580 to 0.249746. Furthermore, the GRU-VMD-ECM model outperforms the RF, GRU-CNN, and VMD-GRU models in terms of precision across all forecasting horizons. These findings highlight the potential of the GRU-VMD-ECM model in providing highly accurate monthly rainfall predictions for early warnings and informed decision-making by governments.

Optimizing oil spill emergency logistics: a time-varying multi-resource collaborative scheduling model

Emergency resource scheduling is at the heart of the response to an oil spill, as it lays the foundation for all other emergency operations. Extant studies address the dynamicity inherent to these operations primarily by modeling a dynamic network flow with static data, which is not applicable to continuously changing conditions resulting from oil film movement. To enhance the responsiveness and cost-efficiency of the response to oil spills, this paper takes a novel approach and formulates a multi-objective location-routing model for multi-resource collaborative scheduling, namely, harnessing time-varying parameters rather than static data to model real-time changes in the demand for emergency resources and the transportation network. Additionally, the model considers various operational factors, including the transportation of multiple resources in the order of operating procedures; the coordination of split delivery with the consumption of emergency resources; and the matching of multiple resources with suitable vehicles. To solve the proposed model, a hybrid heuristic algorithm of PSO-PGSA is developed, which utilizes particle swarm optimization (PSO) to search widely for non-dominated solutions. The algorithm then makes use of the plant growth simulation algorithm (PGSA) to find the more effective vehicle routes based on the obtained solutions. Finally, a numerical analysis is used to illustrate the practical capabilities of the developed model and solution strategies. Most significantly, our work not only validates the methodology proposed here but also underlines the importance of incorporating the features of an oil spill emergency response into emergency logistics in general.

Impact of the digital economy on total factor energy efficiency: evidence from 268 Chinese cities

Due to the advancement of digital technology, the digital economy has developed rapidly, profoundly changing human production and lifestyles, thereby promoting the dual digital transformation of the energy supply and demand sides and having a profound impact on energy utilization efficiency. Based on measuring the total factor energy efficiency (TFEE) of 268 cities in China from 2011 to 2019, we analyze the total and indirect effects of the digital economy on TFEE using a mediated effects model and examine the effects of urban heterogeneity from the perspectives of geographical location, city size, and resource endowment. The results show that the digital economy has a significant positive contribution to TFEE. In addition, the digital economy can promote TFEE through industrial structure upgrading, technological innovation, and environmental regulation. The test results of the subsample show that there is significant heterogeneity in the impact and mechanism of action of the digital economy on TFEE in different geographical locations, city sizes, and resource endowments. By understanding how the digital economy impacts TFEE, policymakers can formulate effective policies to simultaneously accelerate digital economy development and improve TFEE.

The effect of recasting by mothers with different conversational styles on the communication behavior of autistic children: Lag sequential analysis

Recasting is the adult rephrasing of a child's immediately preceding utterance. It has been shown to have outstanding effects on promoting language development in autistic children. This study used lag sequential analysis to explore the impact of mothers' conversational styles on the communicative behavior of autistic children when using recasting. This study recruited 30 Chinese autistic children (aged 3-6 years) and their mothers. The utterances of the children and their mothers during 30-min interactions were transcribed, coded, and analyzed. The mothers' conversational styles were determined by the percentages of child-dominant, mother-dominant, and equality styles. The results indicated that mothers' conversational styles were predominantly child-dominant, differing from the expected mother-dominant style that is typical in Eastern cultures and traditions. However, some mothers still demonstrated a significant proportion of mother-dominant style in their conversation, while some exhibited a considerable amount of equality style. Moreover, mothers with a mainly child-dominant style and minimal use of mother-dominant and equality styles used recasting after the child's response, triggering the child to initiate new topics. Mothers with a child-dominant style combined with prominent mother-dominant features implemented untargeted self-recasting, the children did not respond significantly. Mothers with a child-dominant style combined with prominent equality features used recasting after the children responded, initiated, or expanded the conversation, which often facilitated the child's expansion of the conversation. These findings provide suggestions for designing parent-mediated early language interventions for autistic children.

Does incentive-based green governance compensate for green innovation in enterprises? The role of green orientation

Government-led green governance, as a crucial tool for achieving green and sustainable development, has garnered significant attention among researchers worldwide. Nevertheless, research on incentive-based green governance and green orientation remains insufficient. This study adopts an evolutionary game theory framework to elucidate the mechanisms underlying incentive-based green governance and green orientation in facilitating green innovation. The effectiveness of this framework is then verified through the utilization of propensity score matching (PSM) and difference-in-differences (DID) methods using data from Chinese companies. The main findings include the following: (1) Government incentive-based green governance exhibits a compensatory effect on green innovation, which is validated through robustness testing. (2) Internal green orientation serves as an intermediary factor between incentive-based green governance and green innovation, while external green orientation exerts a positive regulatory effect. (3) Heterogeneity analysis demonstrates that the impact of incentive-based green governance on green innovation is more pronounced in non-high-pollution industries, high-tech corporations, and companies operating in areas with lower governance intensity. This study is conducive to illustrate the compensatory effect of government incentive-based green governance on green innovation and also provides reference for the government to issue targeted green governance policies.

Interparental Conflict and Early Adolescent Depressive Symptoms: Parent-Child Triangulation as the Mediator and Grandparent Support as the Moderator

A notable ambiguity persists concerning whether distinct forms of parent-child triangulation (unstable coercive coalition, stable coalition, detouring-attacking, detouring supportive, parentification) might mediate the association between interparental conflict and early adolescent depressive symptoms similarly within the context of Chinese Confucianism. Filling this research gap, this study aimed to examine the mediating role of the five dimensions of parent-child triangulation in the association between interparental conflict and early adolescent depressive symptoms, as well as the moderating effect of grandparent support on this mediating pathway. Data were drawn from a sample of 761 Chinese adolescents (M age = 12.82 ± 0.47, 49.1% girls). Structural equation model analyses indicated that unstable coercive coalition, stable coalition, and detouring-attacking behaviors partially mediated the association between interparental conflict and adolescent depressive symptoms, while detouring-supportive behaviors and parentification did not demonstrate such mediating effects. Unlike Western societies, a negative correlation was observed between interparental conflict and parentification in the context of China. Grandparent support mitigated the adverse effects of both interparental conflict and the unstable coercive coalition on early adolescent depressive symptoms.

Examination of the relationship between agricultural carbon emission efficiency and food quality and safety: from the perspective of environmental regulation

An important breakthrough in the coordinated development of China's low-carbon goals and food security strategies is agricultural development oriented toward quality, safety, green, and low carbon. This study integrated command-control and market-incentive environmental regulation (ER), agricultural eco-efficiency (ACEE), and food quality and safety (FQS) into a unified theoretical framework. The unexpected output-oriented Super-SBM model was used to calculate the ACEE of China's provinces and cities from 2011 to 2020 and test the bidirectional causality between ACEE and FQS through the system generalized moment estimation model. A dynamic panel smooth transition (PSTR) model was used to explore the nonlinear impact mechanisms of different types of ERs on ACEE and FQS. The results showed that there was a long-term, two-way causal relationship between ACEE and FQS. The impact of environmental regulations on ACEE and FQS has a nonlinear relationship. Among them, the role of market-incentivized ER is more significant. Therefore, building an interregional coordinated development mechanism, improving the utilization rate of agricultural resources such as fertilizers and pesticides, and coordinating the positive effects of different types of ERs are the keys to improving the ACEE and ensuring the coordinated development of FQS.

Parenting Desire Among Sexual Minority Women in China: From the Stigma Perspective

In China, women who are childless or have children outside of heterosexual marriage are generally stigmatized. Consequently, Chinese sexual minority women are challenged for their willingness to have children. This study explored how multiple (structural-interpersonal-individual) levels of sexual minority stigma are related to parenting desire among Chinese sexual minority women. Furthermore, it examined the mediation mechanism of individual stigma and the moderation effect of outness to one's family in the link between structural/interpersonal stigma and parenting desire. Participants (265 lesbian and 193 bisexual women) completed online measures of structural stigma (adherence to Confucianism), interpersonal stigma (discrimination events), individual stigma (internalized homophobia and rejection sensitivity), outness to one's family, and parenting desire. Lesbian women reported lower structural and individual stigma and parenting desire levels than bisexual women. Sexual minority women's high adherence to Confucianism, internalized homophobia, and rejection sensitivity were positively associated with their increased parenting desires. Notably, adherence to Confucianism and discrimination events were associated with parenting desire through internalized homophobia, but not rejection sensitivity; moreover, outness to one's family buffered the direct link between adherence to Confucianism and parenting desire and strengthened the direct link between discrimination events and internalized homophobia and the indirect link between discrimination events and parenting desire. This study contributes to a robust understanding of how sexual minority stigma is connected to parenting desire among sexual minority women in Chinese sociocultural contexts, providing cultural-specific evidence to support theories of stigma and minority stress.

Can green finance and environmental regulations promote carbon emission reduction? Evidence from China

Carbon reduction has become a major challenge for China's economy in its transition toward sustainability. The government has been monitoring the behavior of enterprises through regulations to protect the environment, while green finance has rapidly developed in recent years as a new tool to reduce carbon emissions. Despite these measures, few studies have explored the interaction between these two drivers of carbon reduction. Therefore, this study aimed to examine the impact of green finance and environmental regulations on carbon emissions. To determine whether their coordination can lead to greater carbon reduction, the spatial spillover effect of this impact was also investigated. The results show that green finance can reduce carbon emissions and that the interaction of green finance with environmental regulations plays a significant positive role in reducing carbon emissions. Finally, this study concludes that the carbon reduction effects of green finance and environmental regulations have positive spillover effects on adjacent areas.

Evaluation of the coupling coordination degree between digital inclusive finance and green technology innovation in China

Digital inclusive finance (DIF) has been growing fast in recent years in China, and green technology innovation (GTI) is strongly promoted by the Chinese government. The coordinated development of DIF and GTI is important for China's economic transition to high-quality development. Therefore, utilizing the panel data of 288 prefecture cities from 2011 to 2020 in China, the research evaluates the coupling coordination degree between DIF and GTI (CCD-DG), analyzes spatial-temporal characteristics of CCD-DG, explores its regional disparities and finally analyzes its spatial effects. Results demonstrate that CCD-DG at the prefecture-city level showed a rise from 2011 to 2020, but the degree was only in the stage of basic coordination till 2020, which was mainly driven by the development of DIF in recent years. The regional disparities in CCD-DG remarkably existed but gradually narrowed down during the observation period, which mainly originated from the between-subregions differences as a result of the huge difference in GTI. Additionally, there was a significant spatial spillover effect of CCD-DG and its spatial distribution was roughly consistent with the spatial effect layout. Policy implications based on these results are finally proposed, including formulating policies with local characteristics to promote CCD-DG, emphasizing the discrepancies of CCD-DG between the East and the Northwest, and that within the Northwest and the South, etc.

Analyzing the impact of sustainable economic development from the policy text network: Based on the practice of China's bay area policy

In order to break through the surface analysis of the content structure of policy texts, an in-depth discussion of the linkage between regional policy makers and objectives is helpful to analyze the formation mechanism of policy effects. Through social network analysis and multi-index analysis, this study takes the QianwanNew Area of Ningbo and the Guangdong-Hong Kong-Macao Greater Bay Area as representatives to explore the policy framework for the sustainable development of manufacturing industry in the two bay areas respectively. Through the construction of government department cooperation network, policy keyword co-occurrence network, department keyword correlation network, and the analysis of network density, network centrality, structural holes, and cohesive subgroups, it is found that the impact results show great differences, which is related to the network structure of manufacturing policy text.

The impact mechanism of ownership change on university innovation

The mixed-ownership reform of job invention achievements (MOJIA) is an important exploration of China's sound long-term incentive mechanism for transforming job-related inventions. Based on the data of MOJIA pilot universities and regions from 2012 to 2022, this paper analyzes the relationship and mechanism between MOJIA and university innovation (UI) in China by combining resource dependence theory and institutional theory. The study found that MOJIA has a promotive effect on UI. The findings continue to hold after using parallel trend tests, lagged regressions, alternative UI measures, endogeneity control, and placebo tests. MOJIA can enhance the technology achievement marketability in the regions where universities are located. Moreover, MOJIA can facilitate the technological achievements marketability by improving UI. Heterogeneity analysis found that the lower the administrative level and the university's social reputation, the stronger the promotion effect of MOJIA on UI. The research in this paper provides implications for further improving MOJIA.

The Public's Self-Avoidance and Other-Reliance in the Reporting of Medical Insurance Fraud: A Cross-Sectional Survey in China

Purpose

To understand the public's self-willingness to report medical insurance fraud and their expectations on others, to provide a reference for the government to do a good job in medical insurance anti-fraud.

Methods

Data were obtained from a questionnaire survey of 846 respondents in China. Descriptive statistical analyses and multinomial logistic regression were used to analyze the different subjective attitudes of the public toward different subjects when faced with medical insurance fraud and the influencing factors.

Results

511 (60.40%) respondents were willing to report medical insurance fraud, while 739 (87.35%) respondents expected others to report it. 485 (57.33%) respondents were willing and expected others to report medical insurance fraud, followed by those who were not willing but expected others to report it (254, 30.02%). Compared to those who were unwilling to report themselves and did not want others to report, those who believe their reporting is useless (OR=3.13, 95% CI=1.15-8.33) and those who fear for their safety after reporting (OR=2.96, 95% CI=1.66-5.26) were more likely to expect others to report. Self-reporting willingness was stronger among the public who were satisfied with the government's protective measures for the safety of whistleblowers (OR=4.43, 95% CI=1.38-14.17). The public who believe that both themselves and others have responsibilities to report medical insurance fraud were willing to report and expect others to do the same.

Conclusion

The public had a "self-avoidance" and "other-reliance" mentality in medical insurance anti-fraud. The free-rider mentality, lack of empathy, concerns about own risk after reporting, and the interference of decentralized responsibility were important factors contributing to this public mentality. At this stage, the government should prevent the public's "collective indifference" in medical insurance anti-fraud efforts. Improving the safety and protection of whistleblowers and making everyone feel more responsible and valued may be effective incentives to enhance the public's willingness to report.

Spatial spillover effects of urban innovation on productivity growth: A case study of 108 cities in the Yangtze River Economic Belt

The spatial spillover of urban innovation has increasingly become an important factor affecting urban total factor productivity (TFP) growth. Based on the panel data of 108 cities in the Yangtze River Economic Belt from 2004 to 2020, this paper illustrates the spatial-temporal evolution trend of urban innovation and manufacturing total factor productivity and uses the spatial Dubin model to study the direct and indirect effects of urban innovation on manufacturing total factor productivity. The main conclusions are as follows:(1)Spatial correlation and heterogeneity between urban innovation and manufacturing total factor productivity prove to be significant in the Yangtze River Economic Belt;(2)Urban innovation has a significant positive impact on manufacturing total factor productivity and has a positive spillover effect on surrounding cities; (3)The effect of urban innovation on manufacturing total factor productivity varies with time and region;(4) Mechanism analysis shows that talent agglomeration significantly promotes the positive impact of urban innovation on manufacturing total factor productivity, while the spillover effect is insignificant.

The impact of high-speed rail on SO2 emissions-based on spatial difference-in-differences analysis

SO2 emissions have brought serious hidden danger to human health and environmental quality, thus hindering sustainable economic development. The development of high-speed rail indirectly has an important impact on SO2 emissions through its economic effects. Controlling SO2 emissions from the source has increasingly become the focus of many scholars, and it is very important to assess the environmental effects of high-speed rail on SO2 emissions reduction. We use the panel data of 285 cities in China from 2007 to 2017, and adopt the spatial Difference-in-Differences model to study the impact of the opening of high-speed rail on SO2 emissions. We also introduce an improved spatial DID model that distinguishes neighboring treatment groups and neighboring control groups to test the spatial spillover effect of high-speed rail on neighboring heterogeneous samples. We find that the opening of high-speed rail significantly reduces the city's SO2 emissions through the internal accumulation effect of technological innovation and industrial structure optimization and the urban external interaction mechanism of the cross-regional flow of production factors. Moreover, the spatial spillover effect of the opening of high-speed rail on neighboring cities is significantly positive, especially the spatial spillover effect of HSR on SO2 emissions from neighboring cities without HSR. In addition, heterogeneity analysis shows that the effect varies with the different cities' tiers and income levels. These findings are conducive to accurately assessing the environmental effects of high-speed rail, and provide important policy references for achieving sustainable development and reducing SO2 emissions.

The impact of tax reduction on enterprises' financialization-A quasi-natural experiment based on the reduction of VAT rate

This study examines the influence of the reduction in value-added tax (VAT) rates in China during 2018 and 2019 on corporate financialization. By employing a difference-in-differences model and utilizing data from Chinese A-share listed companies between 2017 and 2020, we assess the effects of tax reduction policies. Moreover, it achieves this outcome through three main pathways: alleviating financing constraints, boosting fixed asset investment, and weakening corporate financial arbitrage motives. Further analysis demonstrates that the inhibitory effect of VAT rate reduction on corporate financialization is more pronounced for non-manufacturing companies, businesses reliant on the basic tax rate as their primary revenue source, companies with low intermediate input rates, and those with a strong ability to shift the tax burden. Additionally, debt financing costs play a crucial role in moderating the relationship between tax reduction policies and corporate financialization. The conclusions drawn from this study provide valuable empirical evidence that can contribute to the refinement of VAT reduction policies and the prevention and resolution of financialization at the micro-level.

Quantitative evaluation of China's private universities provincial public funding policies based on the PMC-Index model

The special public funding policies, formulated and implemented by provincial governments, plays an important role in the development of private universities in China. However, there is a lack of scientific evaluation on the rationality and completeness of the provincial special public funding policy of China's private colleges and universities. Therefore, this paper uses PMC-index model and text mining technology to establish an evaluation index system for the provincial special public funding policy of private universities in China. Based on PMC-Index and PMC-Surface, 13 policy texts issued since 2010 were evaluated scientifically. The results show that the average PMC-Index of the 13 policies is 6.97, and the PMC-Surface map is smooth, which indicates that the overall structure of these policies is reasonable and the policy content has certain completeness. Only one policy is unacceptable. Through further analysis, we found that there is still much room for improvement in the content design of the sample policy, and its rationality and completeness are related to the publication time. This study is helpful to fully understand the advantages and disadvantages of the provincial special public funding policy of private universities in China.

Grandparenting and life satisfaction among Chinese elderlies: a study of possible mechanisms

OBJECTIVE

This study examines the impact of caregiving on older people's life satisfaction, focusing on the role of caring for grandchildren. The study considers individual characteristics (aging attitudes) and situational factors (intergenerational support) and aims to identify the mediating roles of aging attitudes and intergenerational support in the relationship between caregiving and life satisfaction.

METHOD

The study analyzed data from the 2014 China Longitudinal Aging Social Survey (CLASS), focusing on 5363 grandparents who reported providing care for their grandchildren in the 12 months before the survey. Life satisfaction was subjectively measured. The data was analyzed using multiple linear regression, propensity score matching, and mediation analysis.

RESULT

The study found that grandparents who cared for their grandchildren have higher levels of life satisfaction. Self-aging attitudes, general aging attitudes, intergenerational economic support, intergenerational instrumental support, and intergenerational emotional support fully mediated the relationship between grandchild care and life satisfaction.

CONCLUSION

This study demonstrates that caring for grandchildren is a vital activity for older people that helps them develop positive aging attitudes and strengthens intergenerational support, thereby improving their quality of life. Hence, the government, society, families, and communities should provide more social support to older adults caring for grandchildren. This would not only benefit the health of the older people themselves but also promote intergenerational harmony and family development.

Animals in Mortuary Practices of Bronze-Age Pastoral Societies: Caprine Use at the Site of Dunping in Northwestern China

The late second and first millennium BC witnessed extensive economic, cultural, and political exchanges between pastoralists and sedentary farming states in East Asia. Decades of archaeological fieldwork across northern China have revealed a large number of burial sites associated with pastoralists during the first millennium BC. These sites were characterized by the inhumation of specific animal parts in burials, predominantly the skulls and hooves of sheep, goats, cattle, and horses. However, the selection preference for these animals and how they were integrated into the mortuary contexts of these pastoral societies remain poorly investigated. Here, we report a preliminary analysis of caprine remains from 70 burials at the site of Dunping in the southern Gansu region of northwestern China, dated to approximately the seventh to fourth centuries BC. Based on an examination of species composition, post-depositional effects, traces of human alteration, skeletal element representation, and age at death, we discussed the selection, slaughtering, and inhumation of caprines concerning the mortuary practices at the site. Comparisons between Dunping and several other contemporaneous burial sites in neighboring regions, specifically in terms of the mortality profiles, further highlight distinct patterns in the selection of caprines for mortuary purposes among pastoral societies. These differences suggest varying degrees of emphasis placed on the economic and social significance attributed to caprines. Our findings provide new insights into the roles that caprines played in both ritual performances and subsistence practices among pastoralists in East Asia during the first millennium BC.

Animal Use Strategies in the Longshan Mountain Region of Northern China during the First Millennium BC: A Zooarchaeological Analysis of Yucun

The first millennium BC saw the expansion of the Western Zhou dynasty in its northwestern frontier, alongside the rise and development of the Qin State in the Longshan Mountain region of northern China. Exploring the subsistence practices of these communities is crucial to gaining a better understanding of the social, cultural, and political landscape in this region at the time. While much of the research to date has focused on the Qin people, the subsistence practices of the Zhou people remain poorly understood. In this study, we analyzed animal remains from Yucun, a large settlement site associated with the Zhou people, located to the east of the Longshan Mountain. These animal remains were recovered in the excavation seasons of 2018-2020. Our results show that pigs, dogs, cattle, caprines, and horses, which were the major domestic animals at Yucun, accounted for over 90.8% of the animal remains examined in terms of the number of identified specimens (NISP) and 72.8% in terms of the minimum number of individuals (MNI), with cattle and caprines playing dominant roles. In terms of the taxonomic composition and the mortality profiles of pigs, caprines, and cattle, Yucun shared similarities with Maojiaping and Xishan, two contemporaneous Qin cultural sites located to the west of the Longshan Mountain, and differ from other farming societies in the middle and lower reaches of the Yellow River valley. Considering the cultural attributes and topographic conditions of these various sites, these findings imply that environmental conditions may have played a more significant role than cultural factors in shaping the animal-related subsistence practices in northern China during the first millennium BC.

Digital finance, government intervention, and carbon emission efficiency in China

In accordance with the "dual carbon" objective, China is required to effectively pursue economic expansion and environmental preservation while concurrently enhancing carbon emission efficiency (CEE). This study examines the influence of digital finance on CEE and evaluates the moderating effect of government intervention. The analysis uses panel data collected from 282 cities in China at the prefecture level and above, spanning the period from 2011 to 2021. The findings indicate the following: (1) CEE in China is relatively low, and there are notable regional disparities. Specifically, there is a discernible downward trend in CEE throughout the eastern, central, and western areas. (2) In general, the implementation of digital finance has the potential to enhance the efficiency of carbon emissions. The observed effect is significant in the eastern and central regions but not in the western region. (3) Government subsidies have the potential to amplify digital finance's impact on CEE in the eastern region. Conversely, in the central and western regions, its influence can be increased by environmental regulations. Based on these findings, this study presents recommendations for advancing digital finance, enhancing the targeting and assessment of government subsidies, refining environmental regulations, and encouraging the adoption of green technologies.

Environmental decentralization and carbon emissions: evidence from China

A robust environmental management system holds great significance for the Chinese government in effectively managing the country's carbon emissions. This study delves into the spatial impact of environmental decentralization on the carbon emissions of 30 Chinese provinces spanning from 2000 to 2019. First, we found that the increase in environmental decentralization promotes carbon emissions, and this effect is primarily driven by the delegation of environmental monitoring authority and environmental supervision authority. Second, we analyzed the heterogeneity of the carbon emission effects of environmental decentralization across different regions and observed that the impact of environmental decentralization is more significant in the western region compared to the central and eastern regions. Furthermore, this study investigates how the industrial structure, government competition, and environmental regulation exert an influence on the carbon emission effects of environmental decentralization. This article presents empirical evidence from the perspective of environmental management systems that underscores the rapid escalation of carbon emissions. Additionally, it contributes to an enhanced comprehension of the economic ramifications linked to the process of environmental decentralization. At the same time, the conclusions of this article have significant practical implications for the rational design of levels of environmental decentralization, thereby accelerating the achievement of carbon neutrality.

Occupational stigma consciousness and professional commitment among Chinese nursing students: Path analysis of survey data

Pervasive stigma exists around nursing in Chinese society and can affect nursing students' commitment to the profession. Based on the resource conservation theory, this study aimed to investigate the relationship between occupational stigma consciousness and psychological empowerment in nursing students' professional commitment in China. Data were collected from November 2021 to May 2022, and 1189 nursing students participated in the study. Occupational stigma consciousness, professional commitment, and psychological empowerment were assessed using a questionnaire. The path analysis indicated that occupational stigma consciousness negatively predicted professional commitment (β = -0.127, p < 0.001) and psychological empowerment (β = -0.329, p < 0.001), and psychological empowerment mediated the relationship between occupational stigma consciousness and professional commitment. To resist occupational stigma consciousness and improve nursing students' professional commitment, nursing policies and education should focus on improving psychological empowerment.

The impact of COVID-19 on health literacy among Chinese rural residents

The outbreak of the Coronavirus disease 2019 (COVID-19) pandemic is an opportunity to improve the health literacy of rural residents. This study aims to explore the levels of health literacy among rural residents during the COVID-19 pandemic and investigate the effects of COVID-19-related variables on the health literacy of rural residents. A total of 882 rural residents aged 15-69 years in Shaanxi province participated in this study and completed the questionnaires about health literacy and COVID-19-related variables. These results showed that although overall health literacy and three aspects of health literacy among rural residents were low and lower than those of Chinese national residents, there was no significant difference in health literacy about safety and emergency between rural residents and Chinese national residents. Additionally, COVID-19-related variables significantly predicted health literacy (i.e. scientific health, safety and emergency and infectious disease prevention). Importantly, unlike other types of health literacy, the effect of a COVID-19-related variable (i.e. the frequency of exposure to news about the COVID-19 pandemic) on infectious disease prevention was only slightly smaller than the effect of high education on infectious disease prevention, and low education was no longer a significant predictor of infectious disease prevention. To conclude, rural residents in Shaanxi province have low health literacy. Education is a major factor affecting the health literacy of rural residents, and the frequency of exposure to news about the pandemic may compensate for the negative impact of low education on health literacy.

Evaluation Mechanism of Political Discourse: A Holistic Approach

Taking the economic issue of Trump's First State of the Union Address (SUA) as original data, the present study examined the evaluation features of political speeches by adopting a holistic approach, which includes both macro and micro dimensions. At the macro level, a series of semantic patterns were identified, with Goal-Achievement and General-Example Patterns being the most prevalent. They predetermine the evaluative tone, giving the surrounding statements evaluative meanings, exhibiting the radiating nature of evaluative meaning; at the micro level, a variety of resources have been identified, both explicit and implicit, lexical and syntactical, attitudinal and gradational, which collaborate to reinforce the subjective evaluation, revealing the holistic characteristic in the realization of evaluative meaning. Throughout the analysis, three evaluative mechanisms have been proposed, which are the coupling of meaning, semantic prosody, and tense switching. They collaborate and promote the subjective evaluation to be established and reinforced in a cumulative, gradient or hybrid pattern. In a narrow sense, the present study has partially revealed Trump's political discourse feature. Broadly speaking, it contributes to the theoretical development of the appraisal framework by refining existing evaluation systems through a holistic research paradigm, which in turn facilitates accurate interpretation of various types of discourse.

Visual search strategies of performance monitoring used in action anticipation of basketball players

INTRODUCTION

Numerous studies have found that expert players anticipate better than novices. If more accurate prediction represents performance monitoring of experts, what are the advantages of elite basketball players in identifying and processing available cues? There is still a lack of sufficient evidence. This study examined the visual search in basketball players and explored the performance monitoring of action anticipation, adopting an expert-novice paradigm and eye-movement technology.

METHODS

Forty basketball players were recruited in this study: 20 in the expert group and 20 in the novice group. Participants were asked to predict the outcome of videotaped basketball throws and their accuracy and eye-movement characteristics were record.

RESULTS

The accuracy of the expert was significantly higher than that of the novice. The experts were able to instantly search and identify important cues in anticipation, and the gaze area of the experts was concentrated on the area of interest of the body. Additionally, the expert group showed long, repetitive, and rapid visual search of vital information, and improved their performance of the task.

CONCLUSION

The experts could monitor the performance of prediction by grabbing vital shooting information (such as the body of a player). The results suggest the athletes and coaches that if they want to improve the ability of prediction, it may be useful to shift their focus of attention from ball trajectory to body action.