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The achievement of China’s low-carbon development and carbon neutrality depends heavily on the decrease of manufacturing carbon emissions. From coagglomeration’s dynamic evolution perspective, by using panel-threshold-STIRPAT and mediation-STIRPAT models, this study examines the relationships among industrial coagglomeration, green innovation, and manufacturing carbon emissions and explores the direct and indirect function mechanisms. Panel data of China’s 30 provinces from 2010 to 2019 are employed. The results imply that, first, the impact of industrial coagglomeration on manufacturing carbon emissions is nonlinear and has significant threshold effects. Industrial coagglomeration negatively affects manufacturing carbon emissions, and as the coagglomeration level deepens, the negative effect has a diminishing trend in marginal utility. Once the coagglomeration degree exceeds a certain threshold, the negative impact becomes insignificant. At present, for 90% of China’s regions, an increase in industrial coagglomeration level can help reduce manufacturing carbon emissions. Second, green innovation is a vital intermediary between industrial coagglomeration and manufacturing carbon emissions. It is a partial intermediary when industrial coagglomeration is at a relatively lower-level stage and a complete intermediary when industrial coagglomeration is at a relatively higher-level stage. These findings reveal the significance of optimizing industrial coagglomeration and the level and efficiency of green innovation to decrease carbon emissions.

Background: Results on the association between posttraumatic stress symptoms (PTSS) and posttraumatic growth (PTG) are inconsistent, and there may be unknown factors mediating or moderating this relationship. Identifying these factors could help in developing an intervention strategy for promoting PTG. However, few studies have examined relationships among PTSS, resilience, and PTG concurrently, and no study has investigated the effect of childhood trauma on these relationships in adulthood. Objective: The aim of this study was to examine the moderated mediating effect of childhood trauma on resilience and its associations with PTSS and PTG in adult victims of traumatic accidents or crimes. We hypothesized that resilience would mediate relationships between PTSS and PTG and that its mediating effects would differ depending on childhood trauma. Methods: We included adult victims of accidents or crimes referred to a university hospital or specialized support centre (n = 143). PTSS, resilience, childhood trauma, and PTG were measured with the following questionnaires: PTSD Checklist for DSM-5, Connor-Davidson Resilience Scale, Adverse Childhood Experiences Questionnaire, and the Short Form of the Posttraumatic Growth Inventory, respectively. Results: The effect of PTSS on PTG was found to be fully mediated by resilience, and this mediating effect was moderated according to childhood trauma: the more childhood traumatic experiences, the greater the mediating effect of resilience was between PTSS and PTG. The effect of resilience on PTG was highest in the high childhood trauma group. Conclusion: Therapists treating individuals with psychological trauma should attempt to identify a history of childhood trauma and to evaluate resilience. Therapeutic approaches tailored according thereto may improve PTG among individuals with PTSS symptoms, especially those with high levels of childhood trauma.

Understanding the effects of the off-farm employment of rural laborers on agricultural land use is essential to promote farmland transfer and enhance rural development in China. This study aims to investigate the direct impact of off-farm employment on farmland transfer and the mediating role of agricultural production services outsourcing (APSO) by using the Probit and Tobit model approaches. This study uses field survey data of 960 rural households in 12 counties of the four main grain producing provinces of China. Findings of this study show that off-farm employment has a significant positive effect on the transfer of land out from households and a significant negative effect on the transfer of land into households. Furthermore, APSO has a significant mediating effect on the influence of off-farm employment on farmland transfer behavior. Specifically, APSO can reduce the positive impact of off-farm employment on agricultural land transfer and weaken the negative impact of off-farm employment on agricultural land transfer-in. The findings of our study also show that the mediating effect of different outsourcing of production links services on the impact of off-farm employment on agricultural land transfer is heterogeneous. Based on the findings of the study, it is contended that the APSO can reshape the supply and demand structure of rural land rental markets and policymakers should focus on the role of ASPO in shaping policies to promote land transfer.

Purpose: This paper aims to explain the direct effect of supply chain integration on operational performance of manufacturing companies and the mediating effect of internal integration on the relationship between external integration and operational performance. Design/methodology/approach: From an organizational capabilities perspective we consider internal integration as a set of intra-organizational capabilities and customer integration and supplier integration as a set of inter-organizational capabilities. In the basis of a sample of 75 Moroccan manufacturing companies, we used PLS - Structural Equation Modeling to study the direct effect of customer integration, internal integration and supplier integration on operational performance of manufacturers and to analyze the mediating effect of internal integration. Findings: The results show that customer integration, internal integration and supplier integration are all positively and significantly related to operational performance of the manufacturer and internal integration mediates relationship between costumer integration and operational performance but not relationship between supplier integration and operational performance. Research limitations/implications: This study focuses on a set of best practices for integrating flows and business processes that industrial companies need to implement in order to create value for final consumer and show how to use internal integration practices to benefit more from external integration. Originality/value: The result of this study extends the developing body of literature on supply chain integration by analyzing the effect of interaction between internal and external integration on the operational performance towards an organizational capabilities perspective in a specific Moroccan industrial context.

The purpose of this study was to investigate relationships among mood states, perfectionism, and choking, and to identify a mediating effect of perfectionism on the relationship between mood states and choking experienced by Asian university baseball players in extremely stressful situations during a game. Data collected from a total of 209 male university baseball players were analyzed using SPSS 21 and AMOS 21 statistical software. The mean age of study subjects was 20.25 years. Results are as follows. First, mood states had a positive influence on perfectionism. Second, mood states had no significant influence on choking. Third, perfectionism had a positive influence on choking. Lastly, perfectionism had a complete mediating effect on the relationship between mood states and choking. The study findings will provide basic data to relieve athletes’ psychological burdens, and prevent manifestations of extreme perfectionism and choking, which can ultimately help athletes maintain high self-control of their mood states and perfectionism for better performance.

Linear regressions with period and group fixed effects are widely used to estimate treatment effects. We show that they estimate weighted sums of the average treatment effects (ATE) in each group and period, with weights that may be negative. Due to the negative weights, the linear regression coefficient may for instance be negative while all the ATEs are positive. We propose another estimator that solves this issue. In the two applications we revisit, it is significantly different from the linear regression estimator.

Based on the 30-province panel data in China during 2005-2018, this paper uses the DEA-SBM model and DEA-Malmquist model to measure rural financial efficiency and agricultural technological progress respectively and then uses the mediating effect model to analyze the linear influence. The results show that rural financial efficiency and agricultural technological progress both can inhibit agricultural carbon emissions, while agricultural technological progress plays a mediating role when rural financial efficiency influences agricultural carbon emissions. What’s more, this paper uses the threshold effect model to analyze the non-linear influence. The findings reveal that when rural financial efficiency improves, the effects of rural financial efficiency and agricultural technology advances on agricultural carbon emissions shift from promoter to inhibitor.

Technological innovation and high-quality economic development are inevitable requirements of sustainable development, and the digital economy has gradually become a new engine to enhance technological innovation and the high-quality development of China’s economy. Deeply discussing the effect of digital economy on high-quality economic development and clarifying the mechanism behind it can effectively grant the boosting power of digital economy to China’s high-quality development, which is of great practical significance to China’s sustainable economic development. In this study, the mechanism, effect, and regional heterogeneity of the impact of the digital economy on the level of high-quality economic development in 30 Chinese provinces from 2011–2019 were measured and empirically tested using a mediating effects model and a spatial Durbin model, among others. The results showed that the overall level of digital economy and high-quality development is not high, and there were both high agglomeration and low agglomeration, with obvious spatial path dependence and spatial lock-in. Digital economy could promote the high-quality development level of the economy, and the spatial spillover effect was remarkable. In addition, the function of digital economy in promoting high-quality economic development in the eastern, central, and western regions was gradually weakened. Besides, the technological innovation was an important transmission path of digital economy to high-quality economic development. Based on these findings, it is proposed that decision-makers should strengthen digitalization efforts so that the digital economy can become a powerful tool to narrow the digital divide. Further, the dynamic and differentiated digital economy development strategy should be implemented to reduce regional development imbalances in an effective manner.

Environmental, social, and corporate governance (ESG) performance is an analytical framework for measuring the contribution of enterprises to sustainable development and fulfillment of social responsibility. The introduction of an environmental protection tax in China in 2018, which imposes tax on the pollution emission of enterprises, helps enterprises improve their ESG performance and raise their environmental awareness, thus effectively promoting their green technological innovation to achieve sustainable development. This study examines the effect of China’s environmental protection tax on corporate ESG performance and green technology innovation. The findings showed that the environmental protection tax in China can vastly improve the ESG performance and green technological innovation, with the ESG performance exhibiting a partial mediating effect in promoting corporate green technological innovation. The mediating effect in enhancing ESG performance and green technological innovation varies with the nature of firms’ property rights and regions.