Study on the impact of digital economy development on carbon emission intensity of urban agglomerations and its mechanism

Using fixed, mediating, and moderating effect models, we explored the impact of the digital economy on carbon emission intensity and its mechanisms based on panel data of 100 cities in 6 Chinese urban agglomerations from 2011 to 2019. The results show that (1) the digital economy development in the urban agglomerations can significantly reduce carbon emission intensity. (2) The digital economy in the urban agglomerations can indirectly reduce carbon emission intensity through the channels of green technology innovation and the information communications technology (ICT) industry. Furthermore, a higher degree of marketization in the urban agglomerations leads to a more pronounced effect of the digital economy on reducing carbon emission intensity. (3) The impact of the digital economy on the carbon emission intensity in the urban agglomerations is regionally heterogeneous. When the carbon emission intensity is at different quantiles, the effects of the digital economy on reducing carbon emission intensity are different. (4) The digital economy development has different impacts on carbon emission intensity when different urban agglomerations are approved. The digital economy development in the urban agglomerations can better reduce carbon emission intensity than that in other cities. Currently, China is in a significant period of rapid digital economy development and energy conservation and emission reduction. We revealed some new features of the digital economy and carbon emission intensity in urban agglomerations, providing a reference for promoting the construction of urban agglomerations, developing the digital economy, and reducing carbon emission intensity.

Does environmental regulation improve marine carbon efficiency? The role of marine industrial structure

With the continuous increase of marine development, intensive economic activities have reduced the marine carbon efficiency and seriously damaged the marine ecological environment, which needs reasonable environmental regulations to guide. This study aims to examine the interactions between marine environmental regulation and carbon efficiency to achieve the goal of carbon emission reduction for the sustainability of marine ecosystem. This study empirically analyzes the heterogeneous effects and mediating effects of China's marine environmental policies on marine carbon efficiency using the mediating effects model and generalized moments estimation. The results show that there is a "U" shaped relationship between marine environmental regulation and marine carbon efficiency in China, marine environmental regulation can indirectly promote marine carbon efficiency through the transmission mechanism of resource allocation efficiency and structural optimization of marine industries. In addition, China's marine environmental regulation policies have regional heterogeneous effects on marine carbon efficiency. This study provides a new perspective for optimizing marine carbon efficiency and sustainable development of marine ecosystem.

The mediating effect of distress tolerance on the relationship between stressful life events and suicide risk in patients with major depressive disorder

BACKGROUND

Despite widespread acknowledgment of the impact of stressful life events on suicide risk, the understanding of the psychological mechanisms underlying the relationship between stressful life events and suicide risk in major depressive disorder (MDD) remain unclear. This study aim to examine whether the distress tolerance mediates the relationship between the stressful life events and suicide risk in patients with MDD.

METHODS

A cross-sectional study was carried out among 125 Chinese patients with MDD, mean age was 27.05 (SD=0.68) and 68.8% were females. The 17-item Hamilton Depression Rating scale (HAMD-17), the validated Chinese version of the Mini International Neuropsychiatric Interview (MINI) suicide module, Life Events Scale (LES) and Distress Tolerance Scale (DTS) were utilized to evaluate depressive symptoms, stressful life events, levels of distress tolerance, and suicide risk, respectively. Mediation analyses was used to test the mediation effect of distress tolerance on the relationship between stressful life events and suicide risk.

RESULTS

The ratio of suicide risk in patients with MDD was 75.2%. Pearson correlation analysis showed that stressful life events were positively correlated with suicide risk(r=0.182, p<0.05). Stressful life events(r=-0.323, p<0.01) and suicide risk(r=-0.354, p<0.01) were negatively correlated with distress tolerance. Mediation analyses showed that the direct path from stressful life events to suicide risk was not significant (B= 0.012, 95% confidence interval (CI) [-0.017, 0.042]). Stressful life events affected suicide risk indirectly through distress tolerance (B= 0.018, 95% CI [0.007, 0.031]), and the mediating effect accounted for 60.0% of the total effect.

CONCLUSION

Distress tolerance completely played a mediating role between stressful life events and suicide risk. Further suicide prevention and intervention strategies should focus on increasing levels of distress tolerance in patients with MDD.

The effects of parent's health literacy and health beliefs on vaccine hesitancy

Parental vaccine hesitancy is a key factor influencing children's vaccination against infectious diseases such as the COVID-19. The current study aims to investigate how parent's health literacy and health belief affect parental hesitancy toward the COVID-19 vaccination, and navigate effective measures to help parents make vaccination decision for children. A mixed-mode web survey was conducted among parents of children aged 3-11 years. Parental vaccine hesitancy, health literacy, and health beliefs were assessed. Parallel mediation model examined whether the association between parent's health literacy and vaccine hesitancy was mediated by health beliefs. In total, 11.3% of the 346 participants reported vaccine hesitancy. Hesitant parents were more likely to be he mother (Father: 4.5%; Mother: 12.9%) and with children having allergic issues (Allergic: 18.3%; Non-allergic: 9.8%). Meanwhile, parents with lower health literacy were more likely to show hesitancy towards vaccinating their children (β = -6.87, 95% CI = [-10.50, -3.11]). This relationship was partially mediated by more perceived barriers in vaccination (β = -2.53, 95%CI = [-4.09, -1.02]), but not other health beliefs. In other words, parents with better health literacy may perceive fewer barriers in making vaccination decision for their children, thus being less hesitant. Accordingly, healthcare professionals and policy makers could design education service to promote parents' health literacy, and remove the perceived barriers as well as increase their confidence in following the COVID-19 vaccine guidance for children.

How finance shared services affect profitability: an IT business value perspective

Shared services have become an important IT-enabled organizational form for providing support business functions to internal users. The information systems that implement and deliver shared services are part of the organizational IT infrastructure that has a twofold effect on firm financial performance. On the one hand, with the shared services model, the IT infrastructure consolidates so that the costs are lowered for providing the common functions firm-wide. On the other hand, the systems delivering the shared services embody the workflow and business functions so that the value of shared services can be gained from improvements in the function performance at the process level. We perceive finance shared services as IT-enabled services for corporate finance and accounting functions, and propose that finance shared services improve firm profitability via cost savings at firm level and via increased working capital efficiency at the process level. We test our hypotheses with data on Chinese public firms from 2008 to 2019. Data analysis results show both direct effect of finance shared services on profitability and mediating effect of working capital efficiency. This study expands our understandings about impacts of shared services, and contributes to empirical research in IT business value.

The association among uric acid, microalbumin and estimated glomerular filtration rate in hypertensive patients: a case control study

OBJECTIVE

To estimate the relationship among uric acid (UA), 24-h microalbumin (24 h-MAU) and estimated glomerular filtration rate (eGFR) in hypertensive patients.

METHOD

The study enrolled adult patients hospitalized in TEDA International Cardiovascular Hospital. The study was used to explore the correlation among UA, 24 h-MAU and eGFR. Univariate analysis was used to compare continuous or categorical data groups according to data type. Multivariate analysis was used to explore the correlation among UA, Log 24 h-MAU and eGFR by linear regression, and the relationship among UA, 24 h-MAU ≥ 30 mg/24 h (increased 24 h-MAU) and eGFR < 90 ml·min^-1·1.73 m^-2 (mildly decreased eGFR) by logistic regression. Mediation effect analysis was used to explore the mediating effect of increased 24 h-MAU between UA and mildly decreased eGFR. Subgroup analysis was used to investigate the correlation among UA, 24 h-MAU and eGFR in different gender.

RESULT

Seven hundred and thirty-three inpatients were enrolled in the study, including 257 patients with hyperuricemia. The level of UA was 377.8 ± 99.9 μmol/L in all patients enrolled, and it was about 50.1% higher in hyperuricemia group (482.3 ± 58.8 μmol/L vs. 321.4 ± 63.5 μmol/L, P < 0.001). The prevalence of hyperuricemia was 35.1% (95%CI 31.6-38.5%). The univariate regression analysis showed that UA was significant related to Log 24 h-MAU, increased 24 h-MAU, eGFR and mildly decreased eGFR. After adjusted confounding factors, UA was significant related to Log 24 h-MAU (β = 0.163, P < 0.001), eGFR (β = - 0.196, P < 0.001), increased 24 h-MAU (quantitative analysis: OR = 1.045, 95%CI 1.020-1.071, P < 0.001; qualitative analysis: OR = 2.245, 95%CI 1.410-3.572, P = 0.001), but had no significant relationship with mildly decreased eGFR. Mediating effect analysis showed that increased 24 h-MAU partially mediated the relationship between UA and mildly decreased eGFR (relative indirect effect: 25.0% and 20.3% in quantitative analysis and qualitative analysis respectively). In the subgroup analysis, the results were stable and similar to the analysis for entry patients.

CONCLUSION

The prevalence of hyperuricemia was higher in hypertensive inpatients. UA was strongly associated with Log 24 h-MAU, eGFR and increased 24 h-MAU, while the correlation with mildly decreased eGFR was affected by multiple factors. And increased 24 h-MAU might be the intermediate factor between UA and mildly decreased eGFR.

How digitalization works in promoting corporate sustainable development performance? The mediating role of green technology innovation

How does organizational digitalization enable enterprises to achieve sustainable development? To explore this question, in this paper, sustainable development performance is characterized by the corporate's financial performance and environmental performance respectively, and the intermediary role of green technology innovation is explored. Taking China's listed companies from 2011 to 2020 as the research sample, the empirical results suggest the following: (a) corporate digitalization positively affects corporate sustainability in terms of its financial performance and environmental performance; (b) exploratory green-tech innovation fully mediates the relationship between digitalization and corporate sustainability, while the exploitative counterpart partially mediates this relationship and negatively affects financial performance; (c) state-owned enterprises tend to improve environmental performance through digitalization accelerating green-tech innovation process, while non-state-owned enterprises pay more attention to financial performance. Moreover, enterprises in high-tech industries focus on both financial performance and environmental performance, while enterprises in non-high-tech industries emphasize environmental performance. Therefore, this research can be conducive for enterprises to make full use of digitalization and green technology innovation to achieve sustainable development including the improvement of financial performance and environmental performance.

The impact of environmental pollution on labor supply: empirical evidence from China

The current study focuses on determining mediating effect using the fixed and instrumental variable models to understand how PM_2.5 affects labor supply. To approach study objectives, a 20-year dataset (from 2000 to 2019) of 287 Chinese prefecture-level cities were collected. To deal with potential endogeneity, the ventilation coefficient was used as an instrumental variable to identify the reverse causality between PM_2.5 and labor supply. Results depicted that the PM_2.5 pollution significantly and negatively impacts the labor supply. It was found that PM_2.5 indirectly reduced labor forces because of pollution-induced health losses. Moreover, when the pollution level was above 30 μg/m³, the PM_2.5 significantly reduced the labor supply. The result suggests that China's local and national governments should enact stringent policy measures to reduce air pollution.

The impact of the establishment of carbon emission trade exchange on carbon emission efficiency

The China government focuses on changes in carbon emission efficiency with establishing carbon emission trade exchange (CETE). It is meaningful to study whether the pilot CETEs can facilitate the betterment of carbon emission efficiency. Using the data of 283 cities in China within 2006-2019, this article gauges the carbon emission efficiency with the SBM-DEA model. This paper analyzes the impact of China's pilot CETEs, which was gradually launched from 2013 to 2014, on carbon emission efficiency through the time-varying difference-in-difference (DID) model. Finally, the mediating effect model is further used to analyze the impact mechanism of the pilot CETEs on carbon emission efficiency from the perspectives of innovation investment and pollution control investment. The results reveal that the carbon emission efficiency of each city from 2006 to 2019 is not very ideal. All cities have some room to facilitate the carbon emission efficiency. The pilot CETEs have increased the carbon emission efficiency and reduced carbon dioxide emission. The policy influences the carbon emission efficiency through innovation investment and pollution control investment, which represent long-run and short-run mechanism respectively.

Will farmers follow their peers in adopting straw returning? Evidence from rural Sichuan Province, China

From the perspective of conformity tendency, based on 540 farmers' data in Sichuan Province, China, the study used the probability score matching (PSM) model and mediator model to explore the role of four types of peers' straw returning behavior on farmers' preferences to implement straw returning and the realization paths. It was found that (1) farmers' preferences to implement straw returning were influenced by the straw returning behavior of neighbors, relatives, wealthy villagers, and village cadres, i.e., there were conformity tendencies in farmers' straw returning decisions. (2) The degree of conformity tendencies formed by different peers varied. Among the peers affecting farmers' preferences to implement straw returning, the effect of village cadres was the largest, followed by neighbors, relatives, and the wealthy villagers. (3) The degree of conformity tendencies varied by decision-makers. The younger and less educated the farmers were, the more willing they were to adopt straw returning driven by their neighbors, relatives, wealthy villagers, and village cadres. (4) In the conformity tendencies (including conformity to neighbors, relatives, wealthy villagers, and village cadres) of straw returning, farmers' perceptions of income benefits and environmental benefits played a significant mediating role, and the perception of environmental benefits was more vital.

Technology innovations impact on carbon emission in Chinese cities: exploring the mediating role of economic growth and industrial structure transformation

China seems ambitious to achieve a "carbon emissions peak" before 2030 and "carbon neutrality" before 2060. To deal with this emissions mitigation plan, technology innovations are regarded as a crucial factor. However, considering its rebound effect (CO₂ emissions driving effect) through economic growth, technology innovations might not prove a promising contributor to CO₂ reduction. Therefore, there is a need to investigate further the nexus between technology innovations and CO₂ emissions for conclusive debate. Based on the data of 215 cities in China, this paper uses mediating effects model to investigate the direct and indirect impacts (through economic growth and industrial structure transformation) of technology innovations on CO₂ emissions from a microeconomic perspective. The main results suggest that technology innovations generally increase CO₂ emissions in China both directly and indirectly. The impact of technology innovations and economic growth on CO₂ emissions indicated the EKC characteristics. Furthermore, the contributions of technology innovations to CO₂ emissions are distinguished in different regions. Thus, there is an urgent need for China to promote innovations in "clean technology" and to transform industrial structure to the tertiary industry to achieve the targets of carbon neutrality and emissions peaking.

Pathways linking relative deprivation to blood pressure control: the mediating role of depression and medication adherence among Chinese middle-aged and older hypertensive patients

BACKGROUND

Studies have demonstrated that individuals of low socioeconomic status have higher blood pressure. Yet, whether socioeconomic inequality would influence blood pressure control and the underlying mechanisms associated with socioeconomic inequality in blood pressure control are unknown. Central to socioeconomic inequality is relative deprivation. We aim to examine the association between relative deprivation and blood pressure control and to investigate the pathways of the association among middle-aged and older adults with hypertension.

METHODS

Data were collected from the 2020 Household Health Interview Survey in Taian City, Shandong province. This study included 2382 eligible respondents aged 45 years and older with a diagnosis of hypertension. Our primary outcome was dichotomous blood pressure control. Relative deprivation was calculated with the Deaton Index. Depressive symptoms and medication adherence were considered as mediators. Multivariable binary logistic regression models were used to estimate the effect of relative deprivation on blood pressure control. The "KHB-method" was used to perform mediation analysis.

RESULTS

Among 2382 middle-aged and older adults with hypertension, the mean age was 64.9 years (SD 9.1), with 61.3% females. The overall proportion of participants with uncontrolled blood pressure was 65.1%. Increased relative deprivation was likely to have higher odds of uncontrolled blood pressure (OR: 2.35, 95%CI: 1.78-7.14). Furthermore, depressive symptoms and medication adherence partially mediated the overall association between relative deprivation and blood pressure control, with depressive symptoms and medication adherence explaining 5.91% and 37.76%, respectively, of the total effect of relative deprivation on blood pressure control.

CONCLUSIONS

Individual relative deprivation could threaten blood pressure control among middle-aged and older hypertension patients through the mechanisms of depression and medication adherence. Hence, improving blood pressure control may require more than just health management and education but fundamental reform of the income distribution and social security system to narrow the income gap, reducing relative economic deprivation. Additionally, interventions tailoring psychological services and medication adherence could be designed to reduce the harmful effect of relative deprivation on blood pressure control among disadvantaged individuals.

Obesity indicators as mediators of the association between age at menopause and blood pressure values

Having a later age at menopause is associated with having a higher blood pressure (BP) value, but the mediation pathways remain unclear. We quantitatively examined the mediation effects of various obesity indicators using baseline data from phase 4 of the Guangzhou Biobank Cohort Study. The product of coefficients approach and bootstrapping procedures were used to assess the mediation effects of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) on the association between age at menopause and BP values. Age, education, occupation, family income, smoking, drinking, diet, physical activity, age at menarche, number of births, fasting glucose, triglycerides, and high-density lipoprotein cholesterol were adjusted as covariates. Of 5429 women with natural menopause, the mean age and menopausal age were 60.0 (standard deviation = 5.8) and 50.3 (3.1) years, respectively. The prevalence of hypertension was 29.6%. In women with a menopausal age of ≥50 years, BMI, WC, WHR and WHtR showed significant mediation effects on the positive association between menopausal age and BP. The adjusted proportion (95% confidence interval) of the mediation effects for those variables were 26.04% (10.40-116.82%), 25.92% (10.19-108.57%), 14.11% (3.59-62.78%), and 23.17% (8.70-95.81%), respectively, for systolic BP values and 22.59% (10.72-53.60%), 20.67% (9.83-49.31%), 9.21% (2.73-23.92%), and 17.19% (7.56-41.31%) for diastolic BP values. In women with a menopausal age of <50 years, no significant association between age at menopause and systolic/diastolic BP values was found. In conclusion, obesity indicators showed significant mediating effects on the association between having a later age at menopause and having a higher BP value. Further longitudinal studies with detailed and accurate measurements of metabolic changes after menopause and sufficient follow-up are warranted to confirm these results. We demonstrated obesity indicators showed significant mediating effects on the association between later age at menopause (≥50 years) and higher BP.

Residential greenness and air pollution concerning excessive gestational weight gain during pregnancy: A cross-sectional study in Wuhan, China

BACKGROUND

Previous studies have indicated that exposure to residential greenness may benefit the health status of pregnant women, and air pollution may exert a mediating effect. Gestational weight gain (GWG) is an important indicator of pregnant women and fetuses' health and nutrition status. However, evidence concerning the impact of residential greenness on excessive gestational weight gain (EGWG) is scarce, and to what extent air pollution in urban settings mediates this relationship remains unclear.

OBJECTIVE

This study aims to explore the association of residential greenness with EGWG, consider the mediating effect of air pollution, and estimate the combined impact of residential greenness and air pollution exposures on EGWG.

METHOD

This population-based cross-sectional study involved 51,507 pregnant women with individual-level data on residential addresses in the Wuhan Maternal and Child Health Management Information System. Two spectral indexes, the normalized difference vegetation index (NDVI) and soil-adjusted vegetation index (SAVI), were used to proxy residential greenness. The air pollution data included six indicators (PM_2.5, PM₁₀, SO₂, CO, NO₂, O₃) and used the Ordinary Kriging interpolation method to estimate overall pregnancy exposure to air pollutants. Generalized linear mixed regression models were utilized to explore the relationship between residential greenness and EGWG. Restricted cubic spline (RCS) models were developed to examine the dose-response relationships. Mediation analyses explored the potential mediating role of air pollution in the residential greenness-EGWG associations. Finally, the weighted-quantile-sum (WQS) regression model was used to investigate the association between residential greenness-air pollutants co-exposure and EGWG.

RESULT

Among all participants, 26,442 had EGWG. In the adjusted model, the negative association was found significant for NDVI_100-m, NDVI_200-m, and NDVI_500-m with EGWG. For example, each IQR increase in NDVI_100-m was associated with 2.8% (95% CI: 0.6-5.0) lower odds for EGWG. The result of WQS regression showed that, when considering the six air pollutants and NDVI_-100m together, both positive and negative WQS indices were significantly associated with EGWG, PM₁₀, PM_2.5, with SO₂ having significant weights in the positive effect direction and CO, O₃, NO₂, and NDVI_100-m having a negative effect. Our results also suggested that SO₂, NO₂, PM₁₀, PM_2.5, and CO significantly mediated the association between NDVI_-100m and EGWG, and our estimates were generally robust in the sensitivity analysis.

CONCLUSION

Exposure to a higher level of residential greenness is associated with a reduced risk of EGWG, in which air pollution may exert a mediating effect. Pregnant women might benefit more in gaining healthy gestational weight when greenness levels increase from low to medium than from medium to high. Given the current cross-sectional study design, large-sale prospective cohort studies are needed to confirm our findings further.

The mediating effect of depression on new-onset stroke in diabetic population: Evidence from the China health and retirement longitudinal study

BACKGROUND

Diabetes has a high incidence in China, which may cause stroke and depression. However, the relationship between diabetes and the incidence of new-onset stroke and depression has not been fully studied.

METHODS

The data from the China Longitudinal Study on Health and Retirement (CHARLS) from 2013 to 2018 were used. A total of 8530 respondents aged ≥45 years old were included in the follow-up study. Logistic regression model, Cox regression, and Mediation analyses were used to explore the association between diabetes, depression, and new-onset stroke.

RESULTS

The depression score of patients with diabetes history was higher (HR,95%CI = 1.02, 1.01-1.04) and were more likely to experience new-onset stroke events (HR, 95%CI = 1.046, 1.02-1.07). With a history of hypertension (HR,95%CI = 1.747, 1.381-2.208), older (HR,95%CI = 1.033, 1.020-1.046) with high BMI (HR,95%CI = 1.056, 1.027-1.086) have a high risk of new-onset stroke. In the combined subgroup analysis, the incidence of new-onset stroke in the subgroup with diabetes depression was higher than in others. The mediating effect of depression on new-onset stroke events in diabetic patients is more pronounced in the medium to long term (>3 years) after adjusting covariates.

LIMITATIONS

We defined new-onset stroke by patient self-report, there might be some memory bias. In addition, new-onset stroke was not classified in the CHARLS questionnaire, which would hinder us to evaluate the mediating effect of depression on different types of new-onset stroke.

CONCLUSION

Our results showed that depression has a partial mediating effect between diabetes and new-onset stroke in the middle-aged and elderly population in China.

How do information and communication technology and urbanization affect carbon emissions? Evidence from 42 selected "Belt and Road Initiative" countries

Reducing carbon emissions is key to achieving the 13th UN sustainable development goals. With the acceleration of informatization and urbanization in the "Belt and Road Initiative" (BRI) countries, it is necessary to explore the impact of ICT and urbanization on carbon emissions in the BRI countries. This paper uses the Driscoll-Kraay panel regression method, multi-chain mediation effect model, and panel moment quantile regression method to study the influence channel and heterogeneous impact of ICT, urbanization, and their interaction on carbon emissions in 42 selected BRI countries. The main empirical results reveal the inhibition of ICT and the promotion of urbanization on carbon emissions. Moreover, the integrated development of ICT and urbanization contributes to reducing carbon emissions. Industrial structure upgrading and energy intensity are found to be the channels through which ICT, urbanization, and their interactions affect carbon emissions. In addition, the impact of ICT, urbanization, and their interaction on carbon emissions varies with different measurement indicators and quantiles. Therefore, it is suggested that BRI countries should formulate appropriate ICT development policies according to their conditions, strengthen ICT application, and especially promote the integrated development of ICT and urbanization, to achieve sustainable urban development.

Can environmental protection policies promote regional innovation efficiency: a difference-in-differences approach with continuous treatment

Environmental regulation and innovative development are essential means to solve the negative externalities of environmental pollution. However, developing countries often face the dual pressures of environmental pollution and innovative development. This paper focuses on whether environmental protection policies (EPP) can achieve a win-win situation between green development and innovative development. Based on the panel data of 277 cities in China from 2006 to 2016, this paper studies the impact of China's EPP on urban innovation efficiency by using a time-varying difference-in-differences approach. Combined with the geographical features of Chinese cities, we further take urban form into the mediating effect analysis. The results show that (1) EPP has a significant positive impact on innovation efficiency, and the result satisfies the parallel trend test; (2) the robustness test shows that EPP has technological innovation and diffusion effects; and (3) the mediating effect test show that urban form has a significant mediating effect on the impact of EPP on innovation efficiency. Therefore, environmental policies should be formulated considering the differences of urban form to achieve the optimal implementation effect.

Does green credit policy mitigate financialization? Evidence from Chinese heavily polluting enterprises

Green credit policy is an important tool to use financial credit resources to stimulate heavily polluting enterprises to change their production methods. This paper constructs a difference-in-differences model based on the quasi-natural experiment of the green credit policy promulgated in 2007 to explore the impact of environmental regulation on the financialization of heavily polluting enterprises and its mechanism. The empirical results show that the green credit policy significantly inhibits the financialization of heavily polluting enterprises, especially for speculative financial assets. This inhibitory effect is more significant in non-state-owned enterprises, enterprises with severe financing constraints, highly competitive industries, and the eastern region. Furthermore, we find that the green credit policy inhibits the financialization of heavily polluting firms by promoting green innovation, mitigating agency problem, and improving media supervision. At the same time, the 2012 Green Credit Guidelines still have an inhibitory effect on the financialization of heavily polluting enterprises from 2009 to 2019, reflecting that China's green credit policy system has a continuous guiding role in the rational allocation of financial assets of heavily polluting enterprises.

How does public environmental supervision affect the industrial structure optimization?

Based on the panel data of 278 prefecture-level cities in China from 2005 to 2017, this study takes the environmental information disclosure policy implemented in 2008 as a quasi-natural experiment and uses the difference-in-difference method to examine the impact of public environmental supervision on industrial structure upgrading. This study found that public environmental supervision has indeed significantly promoted the industrial structure optimization. It is noteworthy that, the impact of public environmental supervision on industrial structure optimization is heterogeneous across regions and corresponding to the intensity of environmental regulations. Public environmental supervision in the eastern region has significantly promoted the optimization of the industrial structure, while the promotion effect in the central and western regions is not obvious. Besides, the effect of public environmental supervision is more significant in the cities with relatively tight traditional environmental regulations. The mechanism analysis shows that public environmental supervision promotes industrial structure upgrading mainly by influencing the level of urban technological innovation, and the level of technological innovation plays an intermediary role between public environmental supervision and industrial structure optimization. This study has important reference significance for further improving the environmental information disclosure system and constructing an environmental governance system with the government as the leading body, enterprises as the main body, and the public as the common participation.

The relationship among pregnancy-related anxiety, perceived social support, family function and resilience in Chinese pregnant women: a structural equation modeling analysis

BACKGROUND

Accumulating evidence suggests that pregnancy-related anxiety (PRA) has adverse impacts on maternity health and infant development. A substantial body of literature has documented the important influence of family function, perceived social support and resilience on PRA. However, research identifying the mediating mechanisms underlying this relationship in China are still lacking. Therefore, the current study aimed to investigate the prevalence of PRA under the three-child policy in China, and also explore the interrelationships among perceived social support, family function, resilience, and PRA.

METHODS

In this cross-sectional study, a convenient sampling method was used to select 579 pregnant women who underwent prenatal examination at the maternity outpatient departments of the First Affiliated Hospital of Chongqing Medical University in China from December 2021 to April 2022. Participants were required to complete the following questionnaires: the demographic form, the Chinese Pregnancy-related Anxiety scale, the 10-item Connor-Davidson Resilience Scale, the APGAR Family Care Index Scale, and Multidimensional Scale of Perceived Social Support. Pearson correlation analysis was utilized to examine the rudimentary relationship among the study variables. Bootstrapping analyses in the structural equation modeling were applied to identify the significance of indirect effects.

RESULTS

There were 41.4% of pregnant Chinese women indicating PRA. Correlational analyses indicated that perceived social support, family function and resilience were negatively associated with PRA (r = - 0.47, P < 0.01; r = - 0.43, P < 0.01; r = - 0.37, P < 0.01, respectively). The results of bootstrapping analyses demonstrated significant indirect effects of perceived social support (β = - 0.098, 95% CI [- 0.184, - 0.021]) and family function (β = - 0.049, 95% CI [- 0.103, - 0.011]) on PRA via resilience.

CONCLUSIONS

Chinese pregnant women are suffering from high levels of PRA. Better family function and perceived social support might reduce the occurrence of PRA, as well as by the mediating effects of resilience. Healthcare providers must be concerned about PRA and perform corresponding actions to reduce it. By strengthening social support and improving family function, antenatal care providers could effectively reduce or prevent PRA. And more importantly, implementing resilience-promoting measures are also essential to relieve anxiety and support mental health in pregnant women.

Higher systolic blood pressure is specifically associated with better islet beta-cell function in T2DM patients with high glycemic level

BACKGROUND

Patients with type 2 diabetes mellitus (T2DM) usually have higher blood viscosity attributed to high blood glucose that can decrease blood supply to the pancreas. A mild increase in blood pressure (BP) has been reported as a potential compensatory response that can maintain blood perfusion in the islet. However, how BP influences beta-cell function in T2DM subjects remains inconsistent. This study aimed to examine the relationship between BP and beta-cell function in patients with T2DM under different HbA1c levels.

METHODS

This is a cross-sectional study of 615 T2DM patients, whose clinical data were extracted from hospital medical records. Beta-cell function was assessed by insulin secretion-sensitivity index-2 (ISSI2). Multivariable linear regression analysis and restricted cubic splines (RCS) analysis were performed to identify the association between systolic BP (SBP) and ISSI2. Mediation analysis was performed to determine whether higher SBP could reduce blood glucose by enhancing beta-cell function.

RESULTS

After adjustment of potential confounders, in participants with HbA1c ≥ 10%, the SBP between 140 to150 mmHg had the highest log ISSI2 (b = 0.227, 95% CI 0.053-0.402), an association specific to participants with < 1 year duration of diabetes. RCS analyses demonstrated an inverted U-shaped association between SBP and ISSI2 with the SBP at 144 mmHg corresponding to the best beta-cell function. This higher SBP was "paradoxically" associated with lower 2 h postprandial blood glucose (PBG) when SBP < 150 mmHg that was almost exclusively mediated by ISSI2 (mediating effect = - 0.043, 95%CI - 0.067 to - 0.018; mediating effect percentage = 94.7%, P < 0.01). SBP was however not associated with improvement in ISSI2 or 2 h PBG in participants with HbA1c < 10%.

CONCLUSIONS

In early stage of diabetes, a slightly elevated SBP (140-150 mmHg) was transiently associated with better beta-cell function in T2DM patients with HbA1c ≥ 10% but not in those with HbA1c < 10%.

How does digital economy affect carbon emissions? Evidence from global 60 countries

The digital economy is of great significant for countries to achieve carbon neutrality and carbon peak. Using country-level panel data from 2008 to 2018, this study empirically examined the impact of the development of the digital economy on carbon emissions and the associated transmission mechanisms by using the intermediary effect model. Our main findings are as follows. (1) The level of digital economy development varies greatly between countries, and the difference between "hyper-digitalized countries" and "under-connected countries" is increasingly obvious. (2) Development of the digital economy significantly reduces the carbon emission intensity, but promotes increases in the per capita carbon emissions. (3) Analysis shows that economic growth, financial development, and industrial structure upgrading play mediating roles between the digital economy and carbon emissions. Our study not only advances the study on digital economy and carbon emissions, but also provides a significant reference for policy makers to achieve carbon peak and carbon neutrality.

Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China

Improving energy efficiency and lowering carbon emissions are of great importance to realize the "dual carbon" goal of carbon peak and carbon neutrality. Digital economy is a new engine of economic development, but whether or how it affects energy efficiency and carbon emissions are unclear. Utilizing panel data of China's 30 provinces from 2012 to 2019, this study empirically explores the relationships among digital economy, energy efficiency, and carbon emissions. Meanwhile, from the perspective of energy efficiency, applying mediation models and panel threshold model, it analyzes the direct, indirect, and nonlinear influencing mechanisms of digital economy on carbon emissions. The results reflect that the development of digital economy in China intensifies carbon emissions. Energy efficiency serves as a vital partial mediator between the two. The enhancement of energy efficiency can lower carbon emissions. However, the development of digital economy is not conducive to improving energy efficiency, thereby, indirectly increasing carbon emissions. The mediating effect of energy efficiency accounts for 30.58 % of the total effect of digital economy on carbon emissions. Meanwhile, taking energy efficiency into account, the impact of digital economy on carbon emissions has a significant double-threshold effect and presents an N-shaped trend. [0.824, 0.912] is the optimal range of energy efficiency, within which the growth of the digital economy can empower carbon emission abatement to some extent. In addition, the expansion of population size, the coal-based energy consumption structure, and the industrial structure significantly increase carbon emissions. The improvements in living standards and environmental regulations can help to decrease carbon emissions, but the emission abatement effects are not significant. Those conclusions reveal the importance of optimizing the level and quality of digital economy and adopting differentiated digital economy development policies based on energy efficiency to achieve carbon emission reduction.

The mediating role of psychological resilience between social participation and life satisfaction among older adults in China

BACKGROUND

A significant correlation has been discovered between social participation and older adults' life satisfaction, but the relationships among social participation, psychological resilience, and life satisfaction remain to be confirmed. Therefore, this study aims to identify the relationship between social participation and life satisfaction for Chinese older adults and to analyse the possible mediating role of psychological resilience between these two aspects.

METHODS

Data on 15,779 people aged 65 years and above were extracted from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Social participation was classified into two levels: low-level involvement activities and high-level involvement activities. Hierarchical regression analysis was applied to analyse the correlations between the two levels of social participation and older adults' life satisfaction as well as the mediating effects of psychological resilience on this association.

RESULTS

The results indicate that two levels of social participation were each positively correlated with life satisfaction. Specifically, high-level involvement activities (β = 0.070, P < 0.001) were more strongly associated with life satisfaction than low-level involvement activities (β = 0.051, P < 0.001). Moreover, psychological resilience was found to partially mediate the association between low-level involvement activities and high-level involvement activities and life satisfaction.

CONCLUSION

A higher level of life satisfaction for older adults is related to participation in high-level involvement activities. Psychological resilience has a mediating effect on the association between two levels of older adults' social participation and life satisfaction. These findings suggest that the government and society should establish a more concrete understanding of the psychological resilience of older adults.

How sustainable human resources management helps in the evaluation and planning of employee loyalty and retention: Can social capital make a difference?

Researchers establish that the current challenges of human resources management to attract and retain talent are based on fostering and increasing the participation of relationships with employees and sustainably managing the organization and teams. The objective of this article is to evaluate the effect that sustainable human resource management has on social capital, and employee retention and loyalty programs. The information required to carry out the empirical analysis was obtained from an online survey to Spanish universities. Data processing was conducted by using the PLS-SEM technique. The results obtained show that social sustainability actions influence the social capital perceived by employees significantly and that social capital influences their loyalty and retention significantly. However, we found that social sustainability actions influence employee loyalty and retention significantly and positively only when it mediates between social capital. This research contributes to the management of organizations and suggests human capital managers to have a greater relational management of human resources in the connection, involvement and transparency of their social sustainability actions in order to achieve greater loyalty and retention ratios, better performance of the organization and, in general, a greater benefit for society.

Digital finance and regional green innovation: evidence from Chinese cities

Digital finance realizes the combination of finance and technology, makes up for many deficiencies of traditional finance, and brings opportunities for green and innovative development. However, systematic research on regional digital finance and green innovation is still lacking. Based on this, this study aims to analyze the impact of digital finance on the regional level of green innovation. For the analysis, the fixed-effect model, the mediating effect model, and the moderating effect model are used to perform regression on the panel data of Chinese cities. The results show that digital finance can significantly improve the level of regional green innovation. Improving the level of regional green financial services is its main mechanism, but the intermediary role of industrial structure optimization and upgrading fails to pass the test. In addition, the results of heterogeneity analysis show that digital finance plays a greater role in promoting green innovation in areas with high levels of traditional financial supply and Internet infrastructure construction. It is worth noting that digital finance does not really play the role of universal benefit, widening the regional green innovation gap. The main contributions of this study are to prove the positive effect of digital finance on green innovation at the regional level, clarify its transmission mechanism and urban heterogeneity analysis, and find that the current digital finance cannot bridge the gap of regional green innovation.

The role of digital finance in reducing agricultural carbon emissions: evidence from China's provincial panel data

As a vast agricultural country that emits a high level of agricultural carbon, China faces significant pressure to reduce its agricultural emissions. In recent years, digital finance has become a crucial part of China's financial system and has reshaped China's mode of green finance. Based on the 2011 to 2020 panel data of 31 provinces in China, this study discusses the effect and mechanisms of digital finance on agricultural carbon emissions. A two-way fixed effect model, threshold effect model, mediating effect model, and moderating effect model have been adopted to investigate the nexus of digital finance and agricultural carbon emissions. The results show that: (1) digital finance can reduce agricultural carbon emissions, and this effect is nonlinear, with two thresholds. (2) A reduction of agricultural carbon emissions through digital finance can be realized via digital finance's impact on farmers' entrepreneurship and agricultural technology innovation. (3) Urbanization has a positive moderating effect on digital finance's agricultural carbon emissions reduction effect. Based on the above conclusions, specific recommendations are proposed with regard to digital finance reducing agricultural carbon emissions.

Psychological Resilience Mediates the Association Between Childhood Maltreatment and Self-Harm Phenotype in Chinese Early Adolescents

Self-harm (SH) increases significantly in early adolescence with great variability, and childhood maltreatment (CM) contributes to this increase. Understanding the developmental pathway from CM to SH could provide clues for SH prevention. This study used latent class analysis (LCA) to detect the phenotype of SH and explored the role of psychological resilience in the pathway from the CM to SH phenotype among 5724 early adolescents (52.5% male). Three interpretable phenotypes of SH were identified: low SH (57.8%), medium SH (29.0%), and high SH (13.2%). Furthermore, CM was positively associated with the SH phenotype, psychological resilience mediated the association between CM and the SH phenotype (all ps < 0.001), and a larger mediating effect was observed in the medium SH (22.41%). Our findings offer new perspectives that improving psychological resilience can be used as an efficient intervention to reduce the risk of SH among early adolescents who have experienced CM.

Communication openness and nosocomial infection reporting: the mediating role of team cohesion

BACKGROUND

The states of IPC (Infection Prevention and Control) is serious under the COVID-19 pandemic. Nosocomial infection reporting is of great significance to transparent management of IPC in regard to the COVID-19 pandemic. We aimed to explore the relationship between communication openness and nosocomial infection reporting, explore the mediating effect of team cohesion in the two, and provide evidence-based organizational perspective for improving IPC management in the hospitals.

METHOD

A questionnaire was used to collect data on communication openness, team cohesion and nosocomial infection reporting in 3512 medical staff from 239 hospitals in Hubei, China. Structural Equation Model (SEM) was conducted to examine the hypothetical model.

RESULT

Communication openness was positively related to nosocomial infection reporting (β = 0.540, p < 0.001), and was positively related to team cohesion (β = 0.887, p < 0.001). Team cohesion was positively related to nosocomial infection reporting (β = 0.328, p < 0.001). The partial mediating effect of team cohesion was significant (β = 0.291, SE = 0.055, 95% CI = [ 0.178,0.392 ]), making up 35.02% of total effect.

CONCLUSION

Communication openness was not only positively related to nosocomial infection reporting. Team cohesion can be regarded as a mediator between communication openness and nosocomial infection reporting. It implies that strengthening communication openness and team cohesion is the strategy to promote IPC management from the new organizational perspective.

The association between academic stress, social support, and self-regulatory fatigue among nursing students: a cross-sectional study based on a structural equation modelling approach

BACKGROUND

Emphasizes the state of academic stress, social support, and self-regulatory fatigue on the physical and mental development of Chinese nursing students, the purpose of this study was to investigate the relationship between these variables and the mediating role of social support in academic stress and self-regulatory fatigue among a group of undergraduate nursing students in Heilongjiang Province, China, in order to provide a theoretical basis for working to reduce nursing students' self-regulatory fatigue.

METHODS

In this cross-sectional study, 1703 nursing students from various academic years completed the scales of social support, academic stress, and self-regulatory fatigue. In the end, there were 797 valid questionnaires, for a recovery rate of 46.80%. For statistical analysis, the independent t-test, Kruskal Wallis test, and Pearson correlation coefficient were used. In addition, we undertake analyses using structural equation modeling.

RESULTS

The bulk of nursing students, or 81.4%, are between the ages of 19 and 21. Eighty percent were females. The bulk (93.0%) was comprised of freshmen. Academic stress, social support, and self-regulatory fatigue had total scores of 111.28 ± 29.38, 37.87 ± 6.70, and 45.53 ± 5.55,respectively. Academic stress was correlated with social support and self-regulatory fatigue (all p < 0.001). Social support was an intermediate variable (p < 0.001), with an intermediate effect value of 0.122, representing 32.35% of the total effect.

CONCLUSION

Academic pressure is associated with an increase in self-regulatory fatigue, mediated by social support. Educational administrators should pay attention to the social support and resource supplement of nursing students, the adjustment and compensatory development of nursing students' physical and mental resources, the advancement of nursing students' internal resource adjustment, and the reduction of their self-regulatory fatigue.

The impact of climate aid on carbon emissions reduction and the role of renewable energy: evidence from the Belt and Road countries

Full mobilization and effective use of climate aid is of great importance for the low carbon transition of Belt and Road Initiative (BRI) countries. This study utilizes the two-step system generalized method of moments model to evaluate the effects of climate aid on carbon emissions reduction and the impact mechanism through energy structure optimization. The panel data of 93 Belt and Road countries from 2000 to 2018 were used for empirical analysis. Results show that climate aid has a significant reduction effect on the carbon emissions intensity of BRI countries, and the dominant component of climate aid, i.e., mitigation aid, corresponds to better carbon emissions reduction benefits than adaptation aid. The impact mechanism demonstrates that the climate aid has dual carbon emissions reduction effects in BRI countries which have an intermediate energy structure. It indicates that climate aid not only directly reduces carbon emissions by increasing carbon reduction resources, but also indirectly reduces carbon emissions by promoting renewable energy and optimizing the energy structure. The results evidence the theory of environmental Kuznets curve hypothesis and channels of climate aid effects. Practical implications from the current study include that more climate finance support should be provided to BRI countries by developed countries, the effectiveness of climate aid should be improved by investing in projects with significant carbon reduction like renewable energy, data monitoring and performance evaluation of climate aid should be strengthened, and China should take its role and make more contributions to the low carbon transition especially energy transition of BRI countries.

The mediating effect of psychological resilience on empathy and professional identity of Chinese nursing students: A structural equation model analysis

BACKGROUND

Previous studies have shown that empathy has a positive impact on the professional identity of nursing students. And developing psychological resilience can improve the professional identity of nursing students. However, studies investigating the mechanism of the relationship between empathy and psychological resilience on professional identity remain few.

PURPOSE

Among Chinese nursing students, we sought to determine whether psychological resilience mediates the association between empathy and professional identity.

METHODS

A total of 495 undergraduate and postgraduate nursing students in a medical university nursing college in Hefei were investigated by demographic data questionnaire, nursing students' empathy scale, nursing students' professional identity questionnaire, and psychological resilience questionnaire. Structural equation modeling was used to analyze the mediating effect of psychological resilience between empathy and the professional identity of nursing students.

RESULTS

The total score of professional identity of nursing students was 57.07 ± 10.38. Psychological resilience (r = 0.316, P < 0.01) and professional identity (r = 0.313, P < 0.01) both had positive correlations with empathy, respectively. Additionally, there was a strong correlation between psychological resilience and professional identity (r = 0.488, P < 0.01). Empathy had an indirect effect on professional identity through psychological resilience, with a direct effect of 0.256 and an indirect effect of 0.145, and the indirect effect accounted for 36.16 % of the total effect.

CONCLUSION

Nursing educators should pay attention to the cultivation of empathy ability and psychological resilience to enhance nursing students' professional identity.

Mediating role of impaired wisdom in the relation between childhood trauma and psychotic-like experiences in Chinese college students: a nationwide cross-sectional study

BACKGROUND

The association between childhood trauma (CT) and psychotic-like experiences (PLEs) is well-established. Many previous studies have recognized wisdom as a protective factor for mental health, but its role in the relation between CT and PLEs remains unknown. We aimed to investigate the mediating effect of wisdom in the above association among Chinese college students.

METHODS

We conducted a nationwide survey covering 9 colleges across China and recruited a total of 5873 students using online questionnaires between September 14 and October 18, 2021. Convenience sampling was adopted. We employed the San Diego Wisdom Scale (SD-WISE), the Childhood Trauma Questionnaire (CTQ-28), and the 15-item Positive Subscale of the Community Assessment of Psychic Experiences (CAPE-15) to measure the wisdom, CT and PLEs, respectively. Descriptive, correlation, and mediation analysis were utilized.

RESULTS

The positive correlation between CT and PLEs was well-replicated among college students (Pearson's r = 0.30, p < 0.001). Wisdom was negatively associated with CT (Pearson's r = - 0.46, p < 0.001) and frequency of PLEs (Pearson's r = - 0.25, p < 0.001). Total wisdom scores partially mediated the relationship between cumulative childhood trauma, neglect, abuse and PLEs, separately. The mediated model respectively explained 21.9%, 42.54% and 18.27% of the effect of CT on PLEs. Our model further suggested that childhood trauma could be related to PLEs through decreasing the following wisdom components: decisiveness, emotional regulation and prosocial behavior.

CONCLUSION

For the first time, our results suggested that impaired wisdom played a role in the translation from childhood adversity to subclinical psychotic symptoms, implicating wisdom as a possible target for early intervention for psychosis among young individuals. Longitudinal work is warranted to verify the clinical implications.

Antisocial and borderline personality traits and childhood trauma in male prisoners: Mediating effects of difficulties in emotional regulation

OBJECTIVE

To investigate the prevalence of probable antisocial personality disorder (ASPD) and borderline personality disorder (BPD) among prisoners, and further examine the mediating effect of difficulties in emotional regulation (ER) between childhood trauma and symptoms of ASPD and BPD.

METHODS

A total of 1491 male participants (35.4 ± 9.69 years) were recruited from a prison in Guangdong, China. The symptoms of ASPD and BPD, childhood trauma, difficulties in ER, and suicidal behaviors were measured by self-administered structured questionnaires. Logistic regressions were performed to investigate the associations of ASPD and BPD with suicidal behaviors. Path analysis was used to examine the mediating effects of difficulties in ER between childhood trauma and symptoms of ASPD and BPD.

RESULT

Approximately, 21.2 % and 11.2 % of the participants were screened as ASPD and BPD, respectively. Probable ASPD and BPD were associated with higher risk of suicidal behaviors. Childhood trauma and difficulties in ER were significantly associated with suicidal behaviors in prisoners with probable ASPD and BPD. Path analyses showed that partial mediating effects of difficulties in ER were significant in the dimensions of clarity and strategies on ASPD, and in the dimensions of clarity, impulse, and strategies on BPD.

CONCLUSION

ASPD and BPD are two of the common personality disorders in prisoners. Difficulties in ER are key to understanding the relationships between childhood trauma and personality disorders.

Sex Hormones Had Mediation in the Connection Between Certain Blood Routine Parameters and Bone Loss

To investigate the association between blood routine (BRT) parameters and bone loss as well as the possible mechanism of this association with bone loss in the middle- aged and elderly patients. A total of nine hundred and ninety-eight subjects (the total) aged≥40 years in General Hospital of Southern Theater Command of People's Liberation Army from March 2015 to January 2018 were enrolled in a cross-sectional studyPatients were divided into two groups as "at least osteopenia group" (including osteopenia, osteoporosis, and severe osteoporosis) and "normal group" according to the diagnosis standard of OP. The above indicators were analyzed and compared between the two groups. Binary multivariate logistic regression analysis was carried out to explore the association between BRT parameters and risk of bone loss in the subjects Mediation Effect was conducted to test endocrine variables as mediators in the correlation of BRT parameters with the bone loss for the possible mechanisms. There were 669 cases in the at least osteopenia group and 329 in the normal group. RBC, Hb, HCT and MCHC were all positively correlated with BMD of lumbar spine(L1-4), left femoral neck and left femur, along with lymph positively correlated with BMD of left femoral neck and left femur, respectively. Eosinophils(Eo) was positively correlated with BMD of L1-L4 and RDW-SD together with RDW-CV were both negatively correlated with BMD of left femoral neck and left femur. By binary multivariate logistic regression, only Hb was associated with bone loss and the OR value was 0.478 as protective factor for BMD. Estradiol (E₂) and testosterone (T) had partial mediating effect on the association of BRT parameters with the risk of bone loss. The mediating effect of E₂ on the relationship between WBC and bone loss accounted for 46.35% of the total effect, and that of T on the relationship between RBC, Hb, HCT, MCHC and bone loss accounted for 27%, 18.3%, 31.1% and 26.8%, respectively. Bone loss in the middle-aged and elderly population is accompanied with the change of BRT parameters and the erythrocyte indices tend to be more obvious especially the Hb, which indicates anemia had a potential connection with bone loss. Sex hormone, especially T, is an important mediating variable in the association between blood routine parameters and bone loss.

Understanding the mechanism of energy poverty affecting irrigation efficiency: evidence from rural China

Lower irrigation efficiency and energy poverty cast a pall on the prospects for sustainable development. However, their relationship is poorly understood, particularly in rural China. Using the China Family Panel Studies 2014-2018 waves, this study examines the impact of energy poverty (EP) on irrigation water efficiency (IWE). Result show that EP reduced IWE by 28.3 ~ 42.4%. These results are robust to a variety of estimation methods. The underlying mechanisms, as revealed by structural equation modeling, are that health and non-agricultural employment act as mediators of the EP-IWE relationship. Non-agricultural employment has a positive and statistically significant mediating effect, indicating that efforts to alleviate energy poverty are partially transmitted to IWE.

Effects of parenting mode on student adaptability: the mediating effect of irrational beliefs

BACKGROUNDS

In the face of the new environment, different individuals have different reactions. Those who have good adaptability constantly establish individual self-efficacy through making friends and completing their studies, thus forming a good dependency with the university environment. However, individuals with poor ability to adapt to the new environment will have some bad phenomena, such as truancy, weariness and self denial. As a result, the students' adaptations of to the growth environment where in universities are the important topics in recent years.

METHODS

Present study introduces irrational beliefs to investigate the effects of parenting mode on maladaptation of university students. The questionnaires based on simplified parenting mode (Chinese), irrational belief and adaptability were administered in a survey of 510 university students in Zhanjiang on October, 2021, the list of students of Guangdong Ocean University is taken as the sampling frame and determined by random sampling. Parenting mode was used as the independent variable, while the emotionally warm, overprotective and rejecting types were used as the indices. Further, the irrational beliefs including summary comments, awful beliefs and low tolerance to setbacks as well as maladaptation were included in the mediation model for analysis.

RESULTS

The results showed that the rejection parenting mode was negatively related with absolute requirements (r = - 0.143), and learning motivation (r = - 0.157), interpersonal adaptation (r = - 0.283) and physical and psychological adjustment (r = - 0.083). Overprotection was negatively correlated with absolute requirements (r = - 0.042) and interpersonal adaptation (r = - 0.042). The mediating effect of irrational beliefs (low tolerance to setbacks, awful beliefs and absolute requirements), the lower and upper limits of Bootstrap confidence interval were 0.135 and 0.461, respectively, excluding 0, which indicated that the mediating effect is true.

CONCLUSION

Through the analysis of the data, this study believes that irrational beliefs such as low tolerance to setbacks, awful beliefs and absolute requirements mediate the effects on school adjustment. Negative parenting modes such as overprotection and rejection inculcate irrational beliefs, resulting in maladaptation of university students.

The carbon reduction channel through which financing methods affect total factor productivity: mediating effect tests from 23 major carbon-emitting countries

The development of modern finance has played a catalytic role in the economic transition to renewable and clean energy, which in turn has an impact on total factor productivity (TFP). However, existing studies have not together addressed financing methods, carbon emissions, and TFP. We analyse how different financing methods affect TFP through the carbon reduction channel. Using data from 1995 to 2019 for 23 major carbon emitters, we adopt a mediation effect model with Stata 17.0. We draw three conclusions. First, financing methods have a differentiated impact on TFP. For every unit increase in debt financing relative to equity financing, TFP decreases by 0.058 units (overall level) or 0.056 units (welfare level). Second, financing has a mediating effect on TFP through carbon emissions. Debt financing reduces TFP through the carbon emission reduction mechanism. The greater the scale of debt financing relative to equity financing, the greater the negative impact on TFP through the carbon emission reduction mechanism, while equity financing plays a positive role on TFP through the carbon emission reduction mechanism. Third, a heterogeneity test demonstrates that the mediating effect is most significant in developed countries and weakest in developing countries. The difference-in-difference framework based on the Equator Principles demonstrates that the marginal contribution to TFP of debt financing aimed at carbon reduction is 0.02 (overall level) and 0.012 (welfare level). From the perspective of financing methods, this study provides enlightenment for promoting carbon emission reduction and improving TFP. First, countries should strengthen the development of the green debt financing market, strengthen the disclosure of information on environmental benefits, and reverse the negative effect of debt financing. Second, they should develop the equity market to activate the role of carbon reduction channel, promote the Equator Principles in the banking industry, and encourage more banks to pay attention to environmental risks. All these financial measures can raise TFP.

Industrial co-agglomeration, green technological innovation, and total factor energy efficiency

The double-wheel driven of manufacturing and producer services industrial co-agglomeration is of great significance for transforming the economic growth mode driven by a single industry, integrating and extending regional resources, and improving energy efficiency. Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE. Last but not least, the threshold panel regression model is conducted to verify the nonlinear relationship between industrial co-agglomeration and TFEE. The results show that there is a U-shaped curve relationship between industrial co-agglomeration and TFEE. Moreover, there are obvious regional heterogeneities in the impact of industrial co-agglomeration on TFEE and its spatial spillover effect. Meanwhile, industrial co-agglomeration has a significant indirect impact on TFEE through green technological innovation. In addition, there is a single threshold effect on the impact of industrial co-agglomeration on TFEE, only when the industrial co-agglomeration degree crosses the threshold value of 0.6329, can it positively promote the improvement of TFEE.

The health consequences of greenhouse gas emissions: a potential pathway

Excessive greenhouse gas emissions might be the major culprit for environmental degradation, which have direct and indirect adverse impacts in various ways. As the largest emitter of carbon emissions, China suffered great harm from climate change during the past 40 years. Therefore, it becomes necessary to study the impact of carbon emissions on health issues and their potential mechanism. Using the panel data from 30 provinces in China between 2002 and 2017, this study employes and extends the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and mediating effect model to analyze the direct and indirect effects of carbon emissions. The main results are as follows: (1) Carbon emissions has a certain negative impact on public health, which would increase with the rise of temperature. (2) The increase in carbon emissions has a more significant negative effect on health with the average temperature exceeding 17.75 °C, indicating that the temperature has a threshold effect. (3) The potential health risks become higher with the development of urbanization, but there is no obvious spillover effect in the health consequences. The results remain robust after controlling other factors. This study supplements the literature of climate governance and human health, potentially contributing to the next stage of high-quality and sustainable development.

Energy market integration and renewable energy development: Evidence from the European Union countries

Based on the panel data of 20 countries in EU during the period of 2007-2019, this paper study the effect of energy market integration (EMI) on renewable energy development (RED). We develop a general equilibrium model to explain how EMI affect the RED and the role of different mechanisms. The empirical results reports that the European EMI increased both the consumption and power generation of renewable energy, which proves a significant positive effect of EMI on the RED. In line with our expectations of theoretical model, our estimates show that the increase of renewable energy consumption is mainly due to the fossil energy cost increased, technology advancement and regional environmental regulation strengthening. And the fossil energy cost is the main driven force which plays a completely mediating role between EMI and RED. Furthermore, we also observe a negative effect of FDI and industry structure on RED.

How can government environmental enforcement and corporate environmental responsibility consensus reduce environmental emergencies?

Environmental emergencies have become a severe challenge to human society due to their great harmfulness, which seriously restrict the sustainable development of human society. Previous studies mainly focused on the pollutant sources and consequences of environmental emergencies, yet lacking highlight of the antecedents of environmental emergencies. Based on a panel data of 31 provinces in China, this paper establishes a mediating effect model to empirically investigate how government environmental enforcement and corporate environmental responsibility consensus (CCER) influence environmental emergencies. The results show that there exists a significant positive correlation between the intensity of government environmental enforcement and CCER, while CCER has negative influence on the frequency of environmental emergencies. In addition, CCER plays a full mediating role in the relationship between government environmental enforcement and environmental emergencies. In short, this research clarified the relationship between government environmental enforcement, CCER, and environmental emergencies, verified the intermediary role of CCER. This paper uncovers another "black box" of the mechanism of environmental emergencies, makes up for the limitations of previous studies from a single perspective, expands the scope of research on environmental emergencies, and proposes corresponding policy recommendations.

The relationships of shift work, hair cortisol concentration and dyslipidaemia: a cohort study in China

BACKGROUND

Currently, cardiovascular disease is the leading cause of death, and dyslipidaemia is an independent and modifiable major risk factor. Previous studies on shift work with dyslipidaemia and hair cortisol concentration (HCC) have yielded conflicting results. The aim of this study was to clarify the association between shift work, dyslipidaemia, and HCC. We further explored the mediating effect of HCC.

METHODS

In this cohort study, baseline data were collected from participants in May 2013. The cohort included 2170 participants- 1348 shift workers and 822 non-shift workers- who were followed up for 6 years with four questionnaire surveys from July 2014, October 2015, and May to December 2019. Hair samples were collected from 340 participants during the baseline period for HCC testing with an automated radioimmunoassay. Dyslipidaemia was defined using the National Cholesterol Education Program Adult Treatment Panel III diagnostic criteria.

RESULTS

Shift workers had a higher risk of dyslipidaemia than workers on the fixed day shift (two-shift RR = 1.408, 95% CI: 1.102-1.798; three-shift RR = 1.478, 95% CI: 1.134-1.926; four-shift RR = 1.589, 95% CI: 1.253-2.015). Additionally, shift workers had higher HCC levels than fixed day shift workers, with geometric mean concentration (GMC) ± geometric standard difference (GSD) = 2.625 ± 2.012 ng/g, two-shift GMC ± GSD = 3.487 ± 1.930 ng/g, three-shift GMC ± GSD = 2.994 ± 1.813 ng/g, and four-shift GMC ± GSD = 3.143 ± 1.720 ng/g. High HCC was associated with a high incidence of dyslipidaemia. After controlling for confounding factors, this study showed that HCC played a role in mediating dyslipidaemia in shift workers and accounted for 16.24% of the effect.

CONCLUSIONS

Shift work was linked to increased risk of dyslipidaemia compared with fixed day shift work. Higher HCC was associated with a higher prevalence of dyslipidaemia. HCC had a significant mediating effect on dyslipidaemia in shift workers.

Effects of investor sentiment on stock volatility: new evidences from multi-source data in China's green stock markets

The effect of investor sentiment on stock volatility is a highly attractive research question in both the academic field and the real financial industry. With the proposal of China's "dual carbon" target, green stocks have gradually become an essential branch of Chinese stock markets. Focusing on 106 stocks from the new energy, environmental protection, and carbon-neutral sectors, we construct two investor sentiment proxies using Internet text and stock trading data, respectively. The Internet sentiment is based on posts from Eastmoney Guba, and the trading sentiment comes from a variety of trading indicators. In addition, we divide the realized volatility into continuous and jump parts, and then investigate the effects of investor sentiment on different types of volatilities. Our empirical findings show that both sentiment indices impose significant positive impacts on realized, continuous, and jump volatilities, where trading sentiment is the main factor. We further explore the mediating effect of information asymmetry, measured by the volume-synchronized probability of informed trading (VPIN), on the path of investor sentiment affecting stock volatility. It is evidenced that investor sentiments are positively correlated with the VPIN, and they can affect volatilities through the VPIN. We then divide the total sample around the coronavirus disease 2019 (COVID-19) pandemic. The empirical results reveal that the market volatility after the COVID-19 pandemic is more susceptible to investor sentiments, especially to Internet sentiment. Our study is of great significance for maintaining the stability of green stock markets and reducing market volatility.

Antepartum sleep quality, mental status, and postpartum depressive symptoms: a mediation analysis

BACKGROUND

Poor sleep quality and maternal mood disturbances are common during pregnancy and may play pivotal roles in the development of postpartum depression. We aim to examine the trajectories of sleep quality and mental health in women from early pregnancy to delivery and explore the mediating effects of sleep quality and mental status on the link between antepartum depressive symptoms and postpartum depressive symptoms.

METHODS

In an ongoing prospective birth cohort, 1301 women completed questionnaires in the first, second and third trimesters and at 6 weeks postpartum. In each trimester, sleep quality was measured utilizing the Pittsburgh Sleep Quality Index (PSQI), and mental health was assessed with the Center for Epidemiologic Studies Depression Scale (CES-D), the Self-Rating Anxiety Scale (SAS) and the Perceived Stress Scale (PSS). Postpartum depressive symptoms were evaluated by the Edinburgh Postnatal Depression Scale (EPDS). The bootstrap method was used to test the mediation effect.

RESULTS

The PSQI, CES-D, and SAS scores presented U-shaped curves across the antenatal period while the PSS score followed a descending trend. Antenatal sleep quality, depressive symptoms, anxiety symptoms and perceived stress all predicted depressive symptoms at 6 weeks postpartum. The influence of antepartum depressive symptoms on postpartum depressive symptoms was mediated by antepartum sleep quality and anxiety symptoms, which accounted for 32.14%, 39.25% and 31.25% in the first, second and third trimesters (P = 0.002, P = 0.001, P = 0.001, respectively).

CONCLUSIONS

Poor sleep quality and anxiety symptoms in pregnancy mediated the relationship between antepartum depressive symptoms and postpartum depressive symptoms. Interventions aimed at detecting and managing sleep quality and elevated anxiety among depressed women in pregnancy warrant further investigation as preventative strategies for postpartum depression.

Mediation effects of thyroid function in the associations between phthalate exposure and lipid metabolism in adults

Phthalates are a group of industrial chemicals widely used in everyday products including cosmetics, food packaging and containers, plastics, and building materials. Previous studies have indicated that urinary phthalate metabolites are associated with metabolic effects including those on lipid metabolism, but the results are mixed. Furthermore, whether thyroid function mediates the association between phthalate exposure and lipid metabolism remains unclear. In the present study, we explored whether changes in thyroid function markers mediate the associations between phthalate exposure and lipid metabolism indicators in Taiwanese adults. The cross-sectional data were obtained from the Taiwan Environmental Survey for Toxicants conducted in 2013. Levels of 11 urinary phthalate metabolites, levels of 5 thyroid hormones, and 8 indicators of lipid metabolism were assessed in 222 Taiwanese adults. The relationships of urinary phthalate metabolite levels with serum thyroid hormone levels and lipid metabolism indicators were explored using multiple regression models. Mediation analysis was conducted to evaluate the role of thyroid function in the association between phthalate exposure and lipid metabolism. The metabolite of di(- 2-ethylhexyl) phthalate (∑DEHPm) exhibited a significant positive association with the lipid metabolite indicator of high-density lipoprotein cholesterol (HDL-C; β = 0.059, 95% confidence interval [CI] = 0.009, 0.109) in adults, and the thyroid function indicator thyroxine (T₄) had a significant negative association with the metabolite ∑DEHPm (β = - 0.059, 95% CI = - 0.101, - 0.016) and a significant negative association with HDL-C (β = - 0.284, 95% CI = - 0.440, - 0.128). The T₄ indirect effect was 0.015 (95% CI = - 0.0087, 0.05), and the mediation effect was 32.2%. Our results support the assumption that exposure to phthalates influences the homeostasis of lipid metabolism by interfering with thyroid function.

Childhood maltreatment and decision-making autonomy in adulthood: The mediating roles of self-esteem and social support

BACKGROUND

Childhood maltreatment (CM) is connected with a large number of maladaptive long-term outcomes. Effective prevention and intervention hinges partly on our understanding of the key mediating mechanisms that help account for the relationship between child maltreatment and its long-term consequences. We know the consequences of CM can extend into adulthood, including the intergenerational transmission of violence, re-victimization, high-risk behavior, and persisting mental health problems. We argue that CM also likely affects decision-making autonomy in adulthood, limiting their independence and exaggerating their risk for other poor outcomes. We suggest that the effects of CM on self-esteem and access to social support mediate this relationship, helping to explain how and why CM impacts autonomy in the long term.

OBJECTIVE

This study aimed to examine these relationships using a cross-sectional sample of currently married women of Bangladesh aged 15-49 years (N = 426).

METHOD

A multi-stage random sampling technique was employed for data collection and a multivariate logistic regression technique was applied for data analysis.

RESULTS

Results from the multivariate logistic regression model revealed a direct effect of a history of CM on limited decision-making autonomy in adulthood and a full mediating effect of self-esteem and social support on the associations between CM and decision-making autonomy in women, even after adjusting for theoretically and empirically relevant covariates.

CONCLUSIONS

The study findings provide insight into the mechanisms by which early childhood experiences impact autonomous decision-making. However, causality cannot be determined because of the cross-sectional design. Finally, our findings suggest that the influence of CM on autonomy could be augmented by self-esteem recovery through social support from family, friends, and peers.

Agricultural factor endowment differences and relative poverty nexus: an analysis of macroeconomic and social determinants

Poverty is a significant global ongoing issue that influences a substantial amount of people despite all efforts to eliminate or lessen it. Although poverty is an eminent problem because of its negative consequences, many people are unaware of the concept of poverty. Poverty not only degrades the human capacity but also undermines economic growth in developing regions. This research aims at exploring the impact and heterogeneity of agricultural factor endowment investment on rural relative poverty. By using the data obtained from China household tracking survey (CFPS-2018), probit model approach was applied to analyze the relationship between agricultural factor endowment investment and rural relative poverty. Finally, the intermediary effect of the selected model was validated through the robustness test. The study findings showed that the input of agricultural factor endowment can alleviate the relative poverty in rural areas of China. Our study findings also revealed that there is a significant heterogeneity in family size, endowment type of agricultural technology elements and the agricultural type. A positive association between the investment in agricultural technology and land factor endowment with relative poverty alleviation by increasing the total value of cash and deposits was revealed from the results. The overall findings of this study provide useful insights to facilitate government institutions to stabilize the agricultural labor force, accelerate the process of agricultural modernization and provide careful consideration to land property rights.

Blood glucose mediated the effects of cognitive function impairment related to aluminum exposure in Chinese aluminum smelting workers

OBJECT

To explore the effects of occupational aluminum exposure on workers' cognitive function and blood glucose concentration, and to analyze whether blood glucose concentration can mediate the cognitive changes caused by aluminum.

METHOD

Our study recruited 375 workers from an aluminum factory in northern China. We collected the fasting elbow venous blood of the workers, measured their fasting blood glucose concentration (FBG), and used ICP-MS to determine plasma aluminum concentration (P-Al) as an indicator of internal exposure. The Montreal Cognitive Assessment (MoCA), was used to assess the cognitive function of workers. Generalized linear model was used to analyze the association of P-Al with cognitive function and blood glucose concentration, and the restricted cubic spline model was used to fit the dose-response relationship. We also conducted a mediation effect analysis.

RESULT

We observed the dose-response relationship, that is, as the P-Al increased, sum of MoCA, visuospatial/executive, naming, language, and abstraction scores decreased, and the blood glucose concentration increased. For every e-fold increase in P-Al, sum of MoCA, visuospatial/executive, naming, language, and abstraction scores decreased by 0.328 points, 0.120 points, 0.059 points, 0.060 points, and 0.083 points, respectively, and FBG rose by 0.109 mmol/L. FBG has a significant mediating effect between P-Al and sum of MoCA (P for mediator=0.042), and it could explain 10.7% of the effect of cognitive level related to P-Al.

CONCLUSION

Occupational aluminum exposure negatively affected the cognitive function of workers and positively affected FBG. FBG may partially explain the impact of occupational aluminum exposure on workers' cognitive function.

Corporate carbon disclosure, financing structure, and total factor productivity: evidence from Chinese heavy polluting enterprises

Low-carbon economy has become the current global economic development trend, and corporate carbon disclosure has attracted more and more attention from scholars and investors. This study creatively explores the mechanism of corporate carbon disclosure on total factor productivity with financing structure as a mediating variable. The content analysis method is employed to assess carbon disclosure that is suitable for Chinese enterprises. Through the mediating effect model and Sobel test, the internal mechanism of carbon disclosure affecting total factor productivity is analyzed, with Chinese heavy polluting enterprises from 2015 to 2018 as research samples. The results show that, firstly, carbon disclosure has a positive effect on the improvement of total factor productivity. The effect of monetary carbon disclosure on the improvement of total factor productivity is higher than that of non-monetary carbon disclosure. Secondly, the financing structure has a mediating effect between carbon disclosure and total factor profductivity, and the mediating effect of internal financing capabilities is better than those of external financing costs. Finally, external financing costs and internal financing capabilities have mediating effects in both heterogeneous carbon disclosure and total factor productivity. The mediating effect of internal financing capabilities is significantly higher than the mediating effect of external financing costs. The effect of monetary carbon disclosure on total factor productivity indirectly through internal financing capabilities is higher than that of non-monetary carbon disclosure.