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Facilitating the coordinated and effective progress of green finance (GF) and ecological efficiency (EE) stands as a potent approach to support our nation in attaining sustainable development goals. This paper Utilized panel data encompassing 84 cities in Western China spanning from 2007 to 2021, this paper empirically analyzes the spatio-temporal characteristics and driving factors of the coupling coordination degree between green finance and ecological efficiency (CCD-GFEE) in western cities. The findings indicate that: (1) The level of GF demonstrates a rising trajectory, with significant regional disparities. Besides, the high level area progressively moves from the northwest to the southwest. (2) On the whole, urban EE demonstrates a relatively elevated level, but it still fails to reach DEA effectiveness. Compared to the northwest region, the southwest region has poorer efficiency. (3) The CCD-GFEE in western China showing a slight growth trend. The coupling coordination degree (CCD) in Northwest China is higher than that in Southwest China, and cities with higher CCD are primarily found in Inner Mongolia, Sichuan Province and Shaanxi Province. Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. Finally, the paper presents certain policy enlightenments to guide the coordinated development of GF and EE from the aspects of GF system formulation, economic construction and technological progress.

In this study, an EIORES-DEA high-quality development indicator system based on efficiency was constructed by selecting multiple indicators from six aspects: economic development, innovation vitality, openness to the outside world, resource utilization, ecological security, and social progress. The weights of the indicators were determined via the entropy weighting method, and the high-quality development (HQD) efficiency of 38 districts and counties in Chongqing municipality from 2010 to 2021 was measured by the Super epsilon-based measure (EBM) model. The spatial and temporal evolutions of efficiency were visualized by combining GIS technology, and the spatial pattern of the HQD level was determined using the LISA time path. The spatial aggregation characteristics of efficiency were revealed utilizing Moran’s I index and spatial trend surface analysis. The results showed that the HQD level in Chongqing rose in an N-shaped fluctuation, and the HQD level in the central city was much higher than that in the new main city, southeast Chongqing, and northeast Chongqing. The high-efficiency (H-efficiency) regions were not connected together but rather distributed independently, with most of the medium–high-efficiency districts and counties distributed around the H-efficiency districts and counties. Meanwhile, the H–H agglomeration area had frequent turnovers in different years, indicating that the competition between H-efficiency districts and counties is intense and that the development synergy among them is poor, while the L–L agglomeration area fluctuated greatly in a given year but gradually stabilized in recent years. The spatial trajectory of HQD in Chongqing municipality mainly moved back and forth along the southwest–northeast direction, which is consistent with the direction of the Yangtze River. Finally, the imbalance of HQD development in Chongqing municipality mainly stems from the regional east–west development differences.

The relationship between urbanization and the ecological environment has received increasing attention worldwide. Studying the coupling and coordination relationship between urbanization and the ecological environment is conducive to resolving the contradiction between development and environmental protection. This paper focuses on cities in western China, which are characterized by ecological vulnerability and delayed urbanization. By introducing spatiotemporal exploratory data analysis methods and spatial econometric models, the paper systematically explores the spatiotemporal evolution characteristics of the coupling coordination degree (CCD) between ecological efficiency (EE) and new urbanization (NU) and identifies possible spatial effect issues related to CCD. Time series changes show that the CCD between EE and NU in western Chinese cities has generally shifted from the Little Imbalance stage to the primary coordination level. By the end of the observation period, all cities in the study area—except Chongqing—had reached the bare coordination level or higher. Spatial evolution reveals a significant and stable positive agglomeration effect in the spatial distribution of CCD. The coupling and coordinated development of EE and NU in local cities tends to drive coordination between the two systems in neighboring cities. In addition, through spatial econometric models, it was found that economic development, educational investment, and technological progress promote the CCD between NU and EE within a city, while industrial structure and financial development hinder CCD. At the same time, a city’s educational investment and industrial structure have positive spillover effects on the CCD of neighboring cities. These findings have reference value for the scientific advancement of urbanization and the balance between EE and NU.

Few studies have addressed the neural computations underlying decisions made for others despite the importance of this ubiquitous behavior. Using participant-specific behavioral modeling with univariate and multivariate fMRI approaches, we investigated the neural correlates of decision-making for self and other in two independent tasks, including intertemporal and risky choice. Modeling subjective valuation indicated that participants distinguished between themselves and others with dissimilar preferences. Activity in the dorsomedial prefrontal cortex (dmPFC) and ventromedial prefrontal cortex (vmPFC) was consistently modulated by relative subjective value. Multi-voxel pattern analysis indicated that activity in the dmPFC uniquely encoded relative subjective value and generalized across self and other and across both tasks. Furthermore, agent cross-decoding accuracy between self and other in the dmPFC was related to self-reported social attitudes. These findings indicate that the dmPFC emerges as a medial prefrontal node that utilizes a task-invariant mechanism for computing relative subjective value for self and other.

PurposeInfluencer marketing is a newer interactive marketing model that has attracted the attention of scholars and marketers. The study aimed to examine the mediation role of influencer credibility (IC) and the moderation role of self-esteem in the effects of individuals' parasocial relationships (PSR) with YouTube influencers on their product attitudes (PATs) and purchase intentions (PIs).Design/methodology/approachThe researchers used an online survey to test a sequential mediation model and moderation mediation models using Hayes PROCESS modeling.FindingsThe researchers revealed a sequential mediation model that IC and PAT mediate the association between PSR and PI. Individuals who perceived IC to be low were more likely to buy an endorsed product when their self-esteem got lower. When their self-esteem is low, individuals tend to purchase the endorsed products if they have stronger PSR with the influencers. However, they are less likely to buy the endorsed products when their self-esteem gets higher.Originality/valueThe study expands the dimensions of IC. The persuasive power of IC and influencer-user relationship was affected by individual differences, namely, self-esteem. Brands should pay attention to customers' personalities, motivations and preferences when designing strategies to market their products via social media.

Background The effect of the duration of diabetes on hip fracture is inconsistent. The aim of this study was to analyze the association between different durations of diabetes and hip fracture. Methods This cohort study included participants from the China Health and Retirement Longitudinal Study (CHARLS) 2011–2020. Diabetes was defined as glycated hemoglobin A1c ≥ 6.5%, fasting blood glucose ≥ 126 mg/dL, random blood glucose ≥ 200 mg/dL, or previous diagnosis of diabetes. Participants were stratified according to diabetes duration, and information was collected on their first hip fracture. The association between diabetes of different durations and hip fracture was assessed using Cox proportional risk models and Kaplan-Meier curves. Results A total of 9,927 participants with a mean age of 58.4 ± 8.7 and 54.3% female were included, and 574 participants suffered a hip fracture. Compared with no diabetes, the associations between overall diabetes, newly diagnosed diabetes, diabetes with a duration of < 6 years, and hip fracture were all not significant, all P  > 0.05. Known diabetes and diabetes of duration ≥ 6 years significantly increased the risk of hip fracture, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 1.69 (1.19 ~ 2.4), P  = 0.003, and 2.2 (1.34 ~ 3.61), P  = 0.002. Conclusions Neither newly diagnosed diabetes nor diabetes with a disease duration of < 6 years was associated with hip fracture compared with no diabetes people. When the duration of diabetes is ≥ 6 years, the risk of hip fracture is significantly increased, and appropriate preventive measures are recommended.

Enveloped viruses encased within a lipid bilayer membrane are highly contagious and can cause many infectious diseases like influenza and COVID-19, thus calling for effective prevention and inactivation strategies. Here, we develop a diatomic iron nanozyme with lipoxidase-like (LOX-like) activity for the inactivation of enveloped virus. The diatomic iron sites can destruct the viral envelope via lipid peroxidation, thus displaying non-specific virucidal property. In contrast, natural LOX exhibits low antiviral performance, manifesting the advantage of nanozyme over the natural enzyme. Theoretical studies suggest that the Fe-O-Fe motif can match well the energy levels of Fe 2 minority β-spin d orbitals and pentadiene moiety π* orbitals, and thus significantly lower the activation barrier of cis , cis -1,4-pentadiene moiety in the vesicle membrane. We showcase that the diatomic iron nanozyme can be incorporated into air purifier to disinfect airborne flu virus. The present strategy promises a future application in comprehensive biosecurity control. Enveloped viruses encased within a lipid bilayer membrane are highly contagious and cause diseases like influenza and COVID-19, so strategies for their prevention and inactivation are needed. Here, the authors develop a diatomic iron nanozyme with lipoxidase-like activity for the inactivation of enveloped viruses, where the diatomic iron sites destroy the viral envelope via lipid peroxidation.

This study combines convolutional neural network (CNN) recognition technology, Greenwich engineering software, and statistical yearbook methods to evaluate rural solar, wind, and biomass energy resources in pilot cities in China, respectively. The CNN method enables the rapid identification of the available roof area, and Greenwich software provides wind resource simulation with local terrain adaptability. The results show that the capacity of photovoltaic power generation reaches approximately 15.63 GW, the potential of wind power is 458.3 MW, and the equivalent of agricultural waste is 433,900 tons of standard coal. The city is rich in wind, solar, and biomass resources. By optimizing the hybrid power generation system through genetic algorithms, wind energy, solar energy, biomass energy, and coal power are combined to balance the annual electricity demand in rural areas. The energy trends under different demand growth rates were predicted through the LEAP model, revealing that in the clean coal scenario of carbon capture (WSBC-CCS), clean coal power and renewable energy will dominate by 2030. Carbon dioxide emissions will peak in 2024 and return to the 2020 level between 2028 and 2029. Under the scenario of pure renewable energy (H_WSB), SO2/NOx will be reduced by 23–25%, and carbon dioxide emissions will approach zero. This study evaluates the renewable energy potential, power system capacity optimization, and carbon emission characteristics of pilot cities at a macro scale. Future work should further analyze the impact mechanisms of data sensitivity on these assessment results.

The context of rapid global environmental change underscores the pressing necessity to investigate the environmental factors and high-risk areas that contribute to the occurrence of brucellosis. In this study, a maximum entropy (MaxEnt) model was employed to analyze the factors influencing brucellosis in the Aksu Prefecture from 2014 to 2023. A distributed lag nonlinear model (DLNM) was employed to investigate the lagged effect of meteorological factors on the occurrence of brucellosis. A total of 17 environmental factors were identified as affecting the distribution of brucellosis to varying degrees. The largest contributing was the normalized difference vegetation index (NDVI), followed by gross domestic product (GDP), and then meteorological factors such as average temperature, average relative humidity, and average wind speed. The receiver operating characteristic (ROC) curve demonstrated that the MaxEnt model exhibited a high degree of predictive efficacy, with an area under the curve (AUC) value of 0.921. The impact of high temperature (25℃ with a 2-month lag, RR = 3.130, 95% CI 1.642 ~ 5.965), low relative humidity (28% with a 2.5-month lag, RR = 1.795, 95% CI 1.298 ~ 2.483), and low wind speed (1.9 m/s with a 0-month lag, RR = 2.408, 95% CI 1.360 ~ 4.264) are the most significant meteorological factors associated with the incidence of brucellosis. The trends in the impact of extreme meteorological conditions on the spread of brucellosis were found to be generally consistent. Stratified analyses indicated that males were more affected by meteorological factors than females. The prevalence of brucellosis is influenced by a range of socio-economic and meteorological factors, and a multifaceted approach is necessary to prevent and control brucellosis.

PurposeAs YouTubers began to create videos about their personal experience of using products, these video testimonials have become a powerful form of electronic word-of-mouth (eWOM). This study aims to investigate the mediating role of self-effect and third-person effect in the relationships between eWOM seeking and passing along YouTube product review videos (video-based eWOM – vWOM) as a specific form of eWOM.Design/methodology/approachThe paper used a survey to interview a total of 282 respondents at a public university in the Midwest USA with about 18,000 students.FindingsThe results show that perceived third-person effect leads to sharing more positive vWOM, while perceived self-effect results in a high likelihood of passing along negative vWOM. The general eWOM consumption does not have a direct effect on the sharing of vWOM. In addition, the YouTube sharing habit contributes to sharing vWOM regardless of valence.Practical implicationsThe results provide marketers’ insights on how to utilize the social media such as YouTube to improve the visibility of promotional brand messages. Sharing of positive vWOM is due to perceived third-person effect (presumed influence), but sharing negative vWOM is due to perceived self-effect. It also suggests marketers take immediate remedial measures to avoid spreading of negative reviews to other users because if viewers are persuaded to think it could happen to themselves as well, they will spread the video.Originality/valueThe paper has theoretical implications. It contributes to the third-person effect and presumed influence literature by exploring its role in spreading the word for products. It also fills the gap in effects of eWOM literature by examining the mediating role of the valence of video-based eWOM in the spread of eWOM.