Will customer change affect enterprise innovation efficiency? A study from the perspective of social networks.

An enterprise innovation strategy is the driving force for the healthy and sustainable development of enterprises, and high-quality, efficient innovation is important for improving enterprises' market value and promoting their high-quality development. Customer relationships are an important factor affecting enterprise product technology and enterprise innovation; however, few studies have evaluated the impact of customer change on innovation efficiency. Therefore, from the perspective of social capital, we use China's listed manufacturing companies' data from 2013 to 2020 to systematically examine how customer changes affect enterprise innovation performance, and test the impact of social networks on the relationship between customer change and enterprise innovation efficiency.

Purification effect and microbial community structure of bio filter on rural dispersed sewage.

Taking rural dispersed sewage for research objects, the treatment effect and microbial community structure characteristics of a bio filter (BF) reactor was studied. At fixed time and location, the removal efficiencies of common pollutants were investigated. By using high-throughput sequencing method, the heterogeneities of microbial community structure in fillers and plant roots were analyzed.

Digital economy development boosts urban resilience-evidence from China.

Focusing on the impact of the digital economy on urban resilience is beneficial to the sustainable development of cities. This paper empirically examines the impact of digital economic development on urban resilience and its mechanisms by measuring urban resilience and the level of urban digital economy with the entropy-weighted TOPSIS method using the data of 252 Chinese cities from 2011 to 2020. The findings show that digital economic development effectively promotes urban resilience at the 1% significance level, and this conclusion remains valid after a series of endogeneity and robustness tests.

Foreign shareholder, overseas sale and corporate profit margin.

China is actively promoting the development of a robust trading nation. In this context, utilizing data from China's A-share listed companies spanning from 2003 to 2021, this study investigates the impact of foreign shareholders on enterprises in a scenario where overseas sales reduce the profit margin of Chinese firms. The findings reveal that overseas sales do indeed decrease the profit margin of Chinese enterprises; however, foreign shareholders mitigate this negative effect and various robustness tests support this conclusion.

Exploring the impact of workload, organizational support, and work engagement on teachers' psychological wellbeing: a structural equation modeling approach.

Introduction: This study delves into the intricate relationships among workload, perceived organizational support, work engagement, and psychological wellbeing within the context of 572 secondary school teachers in China.

Methods: Utilizing structural equation modeling (SEM), this research rigorously examined construct validity and the intricate interrelationships among latent variables. The data were collected and analyzed to determine the associations between workload, perceived organizational support, work engagement, and psychological wellbeing.

The Long Arm of Childhood Bullying Victimization: Associations with Social Isolation, Gender Differences and Depression in Later Life.

The association between childhood bullying victimization and depression has been well-explored among young adults, but little is known about whether this relationship persists into later life stages, specifically during middle-aged and older phases. Moreover, the intricate mechanisms underpinning this association and the potential existence of gender differences within this context remain inadequately elucidated. To address this gap in knowledge, this study aims to investigate the association between childhood bullying victimization and depression in later life, with a focus on exploring the mediating role of social isolation and the moderating roles of gender.

Renewable energy technology innovation and urban green economy efficiency.

Green economy efficiency is the core-factor of urban economic and environmental development. As a sustainable instruments, renewable energy technology innovation (RETI) not only reflects the low energy-consumption, but also promotes the reasonable and balanced relationship between resources utilization and urban economy. In this regard, this paper selects China's cities to investigate the effect of RETI on urban green economy efficiency from 2004 to 2020 based on theoretical analyses and previous studies.

Global renewable energy trade network: patterns and determinants.

The renewable energy product trade is critically important to global economic prospects and its rapid development, making it a key issue in international economics of much interest to scholars. Previous studies have paid attention to bilateral trade, yet we still know little about the patterns of renewable energy product trade and its evolution from the whole industry perspective. Based on bilateral trade data, complex network, as well as ERGM and TERGM, we build global renewable energy trade networks (GRETNs) during 2000-2018 and explore the patterns and determinants.

The impact of China's carbon trading policy on enterprises' energy-saving behavior.

This paper mainly investigates whether emissions trading for pollutant permits more effective. By employing difference-in-differences method and a compressive firm-level dataset, we evaluate the impact of carbon trading system pilot cities policy on enterprises' energy-saving behavior. The findings indicate that after carbon trading system pilot cities policy, enterprises' coal consumption and coal intensity decreased by almost 34 % and 33 % respectively.

Gossiping the (recipient's) day away: The impact of supervisor-directed gossip on recipients' rumination, sleep quality, vitality, and work outcomes.

Despite gossip research's predominant focus on gossipers and gossip targets, existing theoretical views and the limited yet important empirical studies converge to suggest that gossip benefits its recipients. Our research builds on conservation of resources theory to shift this consensus by examining the negative effects of supervisor-directed gossip on recipients. We theorize that hearing negative supervisor-directed gossip triggers both cognition- and affect-focused rumination, which consume resources, and we develop a research question around the moderating role of hearing positive supervisor-directed gossip.

Knowledge, Attitudes, Anxiety, and Preventive Behaviors Related to COVID-19 Among Healthcare Providers: A Developing Country's Perspective.

Background In early 2020, the rapid global spread of coronavirus disease 2019 (COVID-19) presented healthcare workers (HCWs) with an unprecedented challenge. The constant influx of new information about the virus created knowledge gaps, and the relentless demands of their work schedules left many feeling overwhelmed. This paper explores the knowledge, attitudes, anxiety levels, and preventive behaviors of HCWs in the twin cities of Pakistan, Rawalpindi and Islamabad, related to the COVID-19 pandemic.

How followers' perception of followership prototype-traits fit impacts their job performance: a moderated polynomial regression analysis.

Introduction: Previous studies about the drivers of follower performance focused on leadership, and most followership studies have used a single perspective to investigate this topic from the followers' lens. Therefore, the purpose of this study is to explore , , and followers' perception of followership prototype-traits fit influences their job performance.

Methods: The study adopted a questionnaire survey (Study 1) and a scenario experiment (Study 2).

FinKENet: A Novel Financial Knowledge Enhanced Network for Financial Question Matching.

Question matching is the fundamental task in retrieval-based dialogue systems which assesses the similarity between Query and Question. Unfortunately, existing methods focus on improving the accuracy of text similarity in the general domain, without adaptation to the financial domain. Financial question matching has two critical issues: (1) How to accurately model the contextual representation of a financial sentence? (2) How to accurately represent financial key phrases in an utterance? To address these issues, this paper proposes a novel ancial nowledge nhanced work that significantly injects financial knowledge into contextual text.

Binary Classification with Imbalanced Data.

When the binary response variable contains an excess of zero counts, the data are imbalanced. Imbalanced data cause trouble for binary classification. To simplify the numerical computation to obtain the maximum likelihood estimators of the zero-inflated Bernoulli (ZIBer) model parameters with imbalanced data, an expectation-maximization (EM) algorithm is proposed to derive the maximum likelihood estimates of the model parameters.

Efficient estimation of Cox model with random change point.

In clinical studies, the risk of a disease may dramatically change when some biological indexes of the human body exceed some thresholds. Furthermore, the differences in individual characteristics of patients such as physical and psychological experience may lead to subject-specific thresholds or change points. Although a large literature has been established for regression analysis of failure time data with change points, most of the existing methods assume the same, fixed change point for all study subjects.

Index construction and application of digital transformation in the insurance industry: Evidence from China.

In the context of digitization, the insurance industry's value chain is undergoing significant shifts. However, the existing research on its comprehension and measurement remains relatively limited. This study constructs an index system for digital transformation in the insurance industry (DTII) on three components: digital infrastructure, digital platform, and digital applications.

The key to sustainability: In-depth investigation of environmental quality in G20 countries through the lens of renewable energy, economic complexity and geopolitical risk resilience.

The world is currently facing urgent climate and environmental issues, such as global warming, ecosystem collapse, and energy shortages. In this context, this study selected data from 2000 to 2021 and employed the Method of Moment Quantile Regression (MMQR) to thoroughly investigate the impact of renewable energy consumption, economic complexity, and geopolitical risks on the ecological footprint of the Group of Twenty (G20) countries. The results indicate that in countries with lower quantiles, renewable energy consumption significantly reduces the ecological footprint, whereas its effect is not prominent in countries with higher quantiles.

Corrigendum: Association between exposure to tobacco information through mass media, smoking households and secondhand smoke exposure in adolescents: Survey data from South Korea.

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

The attitude of the Chinese government towards social organizations (SOs) is crucial, as it affects the management rule and development tendency of SOs. To research the rule of SOs' participation in social governance in China, this study used a new historical perspective, the institutional development perspective, to conduct its exploration. This perspective provides an accurate measure of the reality of the SOs' participation, as it involves a mixed research methodology using continuous data from 73 years of reports and content mining, as well as topic clustering analysis to reveal a macroscopic and multi-line picture.

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

Key to regional sustainable development are the development and interplay of population dynamics and social welfare, each playing a significant role. As a representative region with demographic characteristics such as negative population growth and large labor outflow, the development and interaction between population and social welfare in Nanchong deserve in-depth exploration. This article takes the development of population and social welfare in Nanchong as the research object, and constructs an evaluation indicator system of population and social welfare through research backtracking, and uses entropy method and coupling coordination model to measure the development level and interactive effect of population and social welfare in Nanchong from 2010 to 2021.

Association between exposure to tobacco information through mass media, smoking households and secondhand smoke exposure in adolescents: Survey data from South Korea.

Introduction: To explore the current situation of exposure of Korean adolescents to secondhand smoke (SHS) in households our study aimed to determine the relationship between family member smoking status, exposure to tobacco information through mass media, and household SHS exposure.

Methods: The present study uses pooled data from the Korean adolescent health behavior online survey conducted in 2015, 2018 and 2021, with 157944 participants. The regression models were used to explore the association between the smoking status of households, and exposure to tobacco information through mass media, and household SHS exposure in adolescents, controlling for potential confounding factors.

Dynamic asymmetric spillovers and connectedness between Chinese sectoral commodities and industry stock markets.

This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market.

Income composition inequality of Chinese residents and fiscal redistribution effect: An empirical analysis on individual income tax and transfer system.

Based on the data of China Family Panel Studies (CFPS), this paper decomposed Chinese residents' income into labor income and capital income by income source, and measured the income inequality and income composition inequality of Chinese residents during 2010-2018. We take the Gini coefficient as a measure of inequality and, by decomposing it by income source, analyze the absolute and relative marginal effects of capital income and labor income on the overall income inequality. On this basis, this paper discusses the redistributive effect of financial instruments such as personal income tax and transfer payment on income inequality and income composition inequality.