Green credit policy and energy consumption intensity in China: Firm-level evidence and insights.

The transition to sustainable development has become a global priority, with energy transformation serving as a key component. In this context, green financial instruments play a crucial role in shaping corporate energy-saving behaviors and promoting sustainable development. This paper examines the impact and mechanism of China's first green credit policy (GCP) on energy consumption intensity (ECI) of manufacturing firms in China, using a difference-in-difference (DID) approach with micro-level data (2004-2009).

Perceived Training Needs of the Informal Caregivers of Older Adults: A Cross-Sectional Study.

Background: Due to the enormous caregiving burden faced by informal caregivers, providing appropriate skills training has become an important supporting strategy in many countries/regions. Understanding caregivers' training needs is instrumental in designing effective training intervention programs, which are expected to reduce the caregiving burden of informal caregivers and avoid the health deterioration associated with caregiving. This paper aims to explore the potential training needs of informal caregivers in Shanghai, and to identify the factors associated with these perceived training needs.

Does Retirement Increase Fraud Exposure and Fraud Victimization?-Evidence From China.

This study investigates the impact of retirement on fraud exposure and victimization among the older adults in China. Using data from the China Health and Retirement Longitudinal Survey, it employs instrumental variable regression, exploiting the statutory retirement age in China as a source of exogenous variation. The findings indicate that retirement does not significant affect fraud exposure but significantly increases the risk of fraud victimization and associated financial losses for older adults.

How does undervaluation in medical savings accounts (MSAs) affect healthcare utilization? Evidence from administrative data in China.

This study examines how the undervaluation of funds in Medical Savings Accounts (MSAs) influences healthcare utilization in China. Given that MSA funds are restricted to healthcare expenses, individuals may undervalue these funds relative to cash, leading to potential overuse of health care. Through an event study approach using administrative data, we find significant reductions in healthcare utilization after MSA balances are depleted-outpatient care expenses drop by 49 percent, and drugstore purchases decrease by 41 percent.

Interbasin trade worsens the state of freshwater fish biodiversity in China.

Human economic activities severely threaten freshwater fish biodiversity in different river basins. Trade makes the impact more mysterious and complex and confounds local efforts to protect freshwater biodiversity. To investigate the relationship between trade and freshwater fishes, we developed a river-basin economic transaction model that is applied to mainland China, home to 9% of the world's freshwater fish species.

Longitudinal relationship between adolescent emotional self-regulation and prosocial behavior toward powerful people: Disentangling between-person differences from within-person effects.

Introduction: This study investigated the longitudinal effects between adolescent emotional self-regulation and prosocial behavior toward powerful people (i.e., actions aimed at benefiting or supporting individuals who hold significant influence or authority within a group or society), based on the perspective of positive socialization cycle.

Internal audit quality and accounting information comparability: Evidence from China.

This study employs the impact and mechanism of internal audit quality on the comparability of corporate accounting information. Using manually collected internal audit data, the study focuses on non-financial listed companies of A-share market spanning from 2007 to 2022 in China. The findings are as follows: (1) Internal audit significantly enhances the comparability of accounting information, the higher the quality of internal audit, the more pronounced its contribution.

Preferences of Cancer Survivors for Follow-Up Care: A Systematic Review of Discrete Choice Experiments.

Background And Objective: Cancer survivors frequently encounter multiple challenges, including physical, psychological, social, emotional, and financial difficulties. These challenges significantly impact their quality of life and recovery process. This systematic review intends to delineate and assess the evidence gathered from discrete choice experiments, aiming to unravel the preferences of cancer survivors towards their follow-up care.

Jekyll and Hyde leadership: Examining the direct and vicarious experiences of abusive and ethical leadership through a justice variability lens.

Drawing on uncertainty management theory and the nascent work on justice variability, we examine employees' and experiences of abusive supervision and ethical leadership. Conceptualizing the simultaneous display of abusive and ethical leadership styles as a form of justice variability, we suggest that a direct supervisor's ethical leadership exacerbates, rather than ameliorates, the detrimental effects of his/her abusive supervision on employees' emotional exhaustion and job performance. We further contend that a similar effect exists when employees vicariously experience leadership interactions involving their direct supervisor and higher level manager, whereby higher level managers' ethical leadership exacerbates the negative effects of their abusive supervision toward supervisors on those supervisors' employees' emotional exhaustion and job performance.

Climate policy uncertainty and its impact on the volatility, correlation, and hedging of sovereign and green bonds.

This study develops monthly climate policy uncertainty (CPU) indexes for 21 economies and three global CPU indexes to evaluate their effects on the long-term sovereign and green bond volatilities and the long-term sovereign-green bond correlation. Findings show significant increases in the CPU indexes during key climate policy events. Using the extended GARCH-MIDAS-CPU and DCC-MIDAS-CPU models, it finds that CPU significantly affects sovereign bond volatility following the Paris Agreement.

Quantifying energy transition vulnerability helps more just and inclusive decarbonization.

The COP28 agreement signals "beginning of the end" of the fossil fuel era, calling on countries to contribute to global efforts to transition away from fossil fuels in energy systems in a just, orderly and equitable manner. While a quantitative assessment of country's vulnerability in energy transition is a prerequisite for national and international policy makers to ensure a just and inclusive transition, it is notably absent in the existing research. Here, we develop a conceptual framework based on the vulnerability scoping diagram (VSD) method to assess differences in energy transition vulnerability across countries, with a specific focus on the challenges associated with transitioning away from fossil fuels.

The pathogenic germline ETV4 P433L mutation identified in multiple primary lung cancer affect tumor stem-like property by Wnt/β-catenin pathway.

The occurrence of multiple primary lung cancer (MPLC) has witnessed a significant surge in recent years within the Chinese population. MPLC is distinguished by its potential genetic susceptibility and notable genetic heterogeneity. Investigating the etiology of MPLC holds substantial clinical importance.

SpemNet: A Cotton Disease and Pest Identification Method Based on Efficient Multi-Scale Attention and Stacking Patch Embedding.

We propose a cotton pest and disease recognition method, SpemNet, based on efficient multi-scale attention and stacking patch embedding. By introducing the SPE module and the EMA module, we successfully solve the problems of local feature learning difficulty and insufficient multi-scale feature integration in the traditional Vision Transformer model, which significantly improve the performance and efficiency of the model. In our experiments, we comprehensively validate the SpemNet model on the CottonInsect dataset, and the results show that SpemNet performs well in the cotton pest recognition task, with significant effectiveness and superiority.

A high-resolution dataset for future compound hot-dry events under climate change.

Global climate change is leading to an increase in compound hot-dry events, significantly impacting human habitats. Analysing the causes and effects of these events requires precise data, yet most meteorological data focus on variables rather than extremes, which hinders relevant research. A daily compound hot-dry events (CHDEs) dataset was developed from 1980 to 2100 under various socioeconomic scenarios, using the latest NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) dataset to address this.

Low self-control, perceived social support and internet gaming addiction: findings from an ethnicity minority region in China.

Background: Adolescent Internet gaming addiction (IGA) is an pincreasing global concern. Drawing on self-control theory, social support theory, and problem behavior theory, this study aimed to examine the relationships between low self-control, perceived social support, and IGA among Chinese Yi and Non-Yi adolescents, with a focus on the moderating role of perceived social support and ethnic differences.

Methods: A cross-sectional study was conducted among 1,997 adolescents (53.

Preparing the developing world for the next pandemic: Evidence from China's R&D blueprint for emerging infectious diseases.

Background: With double pressures of endemic and imported emerging infectious diseases (EIDs), China's ability to detect, prevent and control the unknown virus is of regional and global interest. This study aimed to establish an R&D Blueprint for EIDs in China by identifying the list of prioritized diseases and medical countermeasures (MCMs) that need proactive actions for the next pandemic.

Methods: The process mainly referred to the World Health Organization's prioritization methodology, supplemented by pipeline landscape, rapid risk assessment and multi-dimensional analysis.

Dynamic simulation of policy-driven green technology innovation networks: Digital empowerment and collaborative efficiency.

To delve into the intricate dynamics of green innovation, it is imperative to establish a policy-driven green innovation network and optimize its multi-entity collaborative mechanism. Given the dynamic complexity of a technological innovation network composed of multiple entities, this paper examines the interactions among four subsystems based on system dynamics (SD) simulation: resource input, innovation performance, policy-driven, and digital empowerment subsystem. Furthermore, we analyze the combined effects of policy-driven initiatives and the role of digital platforms in facilitating innovation efficiency based on empirical evidence.

How state mindfulness affects mobile phones usage while walking: A daily diary study in China.

Introduction: Pedestrians are a particularly vulnerable group of road users. Mobile phone usage while walking (MPUWW) is a significant contributor to pedestrians' involvement in road crashes and associated injuries. The current study aims to explore the effect of state mindfulness on daily MPUWW via phone dependence (at the within-person level), and the moderating role of risk perception (at the between-person level) in the phone dependence-MPUWW relationship.

Effects of game-based learning on academic outcomes: A study of technology acceptance and self-regulation in college students.

Objective: This study investigates the interplay between the Technology Acceptance Model (TAM), self-regulation strategies, and academic self-efficacy, and their collective impact on academic performance and perceived learning among college students engaged in remote education.

Methods: A sample of 872 university students from Southern China participated in this study. Structural Equation Modeling (SEM) was employed to analyze the theoretical relationships among the variables.

Effects of health-related dispositions on citizens' appraisals toward the COVID-19 pandemic and protective behavior.

In this study, health risk attitude and health locus of control were included as dispositional factors in the Protection Motivation Theory (PMT) to explain people's protective behavior in the context of COVID-19 pandemic. Empirical data involved two waves of data with a sample of 526 adults with full-time jobs from Beijing, China, and structural equation model results confirmed a partial successful extension of the PMT. Specifically, health risk attitude had a direct effect on citizens' protective behavior, but without an indirect effect mediated by threat appraisal toward the COVID-19 pandemic; health locus of control did not directly associate with citizens' protective behavior, but had an indirect effect on it fully via coping appraisal toward the COVID-19 pandemic.