The purpose of this study was to explore the dynamic and intervention mechanisms of daily abusive experience affecting daily work engagement. Drawing on conservation of resources (COR) theory, we examine the effect of daily abusive supervision on daily work engagement through daily negative emotions from the resource consumption perspective, and the moderation effect of coworker support from the resource provision perspective. Using a daily diary approach and based on a sample of 73 employees for 5 consecutive days in China. The results reveal that daily abusive supervision has a significant negative effect on daily work engagement, daily negative emotions mediate this relationship, and coworker support had a cross-level moderating effect between daily abusive supervision and daily negative emotions. Our study shows ways to boost employees’ daily work engagement and especially ways buffer the negative effect of abused experience on work engagement.

Deepening production-education integration (PEI) is a major strategy of China to reinforce education reform and promote industry transformation. Different from the traditional research perspective of colleges on the supple side, this paper chooses to evaluate the PEI performance of the high-tech industry from the angle of industry on the demand side. Firstly, the action mechanisms of the education system and industry system in PEI were expounded, and the design framework of the evaluation index system (EIS) was derived from the interactions between two elements (technologies and talents) and two market relationships (supply and demand), forming a two-dimensional four-quadrant EIS. On this basis, the correlation-entropy composite matter-element (CECME) model and coupling coordination degree (CCD) model were introduced to empirically compare the PEI performance of the high-tech industry between Guangdong-Hong Kong-Macao (GHKM) Greater Bay Area, Beijing-Tianjin-Hebei (BTH) Urban Agglomeration, and Yangtze River Delta (YRD) Urban Agglomeration. The main conclusions are as follows: (1) the GHKM Greater Bay Area is far better in education and industry development than YRD Urban Agglomeration and BTH Urban Agglomeration; (2) the PEI performance of the high-tech industry in GHKM Greater Bay Area was evaluated as high level with industry in lead, that in YRD Urban Agglomeration as moderate level with education in lead, and that in BTH Urban Agglomeration high-tech industry PEI as moderate level with industry in lag. Finally, several countermeasures were proposed for the urban agglomerations to further enhance the PEI performance of the high-tech industry: GHKM Greater Bay Area should improve the weak link of education development; YRD Urban Agglomeration should give full play to its advantages in higher education; BTH Urban Agglomeration should focus on high-quality industry development. From the practical level, this paper objectively evaluates the actual performance of PEI and provides a reference for scientific policymaking of PEI development.

Technological innovation is essential to promoting sustainable development in emerging economies as it drives regional coordination and industry upgrading. In order to address the understudied connection between regional coordination and industrial structural transformation, this study examines the spatial dynamics of technological innovation efficiency (TIE) in China’s advanced manufacturing industry (AMI) along the Yangtze River Economic Belt (YREB) from 2007 to 2022. Through a Data Envelopment Analysis (DEA) and Spatial Durbin Model (SDM), we systematically evaluated TIE patterns using panel data from 11 provinces. Our empirical analysis reveals three key findings. (1) The temporal distribution of TIE in AMI in the YREB showed an annual increasing trend. The spatial distribution characteristics showed a gradient distribution disparity between the eastern, central, and western regions, but the regional gap of TIE in AMI is gradually closing. (2) Through the examination of Moran’s I, the spatial spillover effect of TIE in AMI was observed, that is, the TIE is spreading from high-performance provinces to other regions, suggesting that interregional collaboration and knowledge exchange may be beneficial. (3) According to the factor identification study, the main factors affecting the spatial distribution of TIE in AMI are industrialization, human capital, and innovation capability. Interestingly, the effects of information technology and economic progress are not statistically significant, suggesting that cautious government actions are required. By optimizing technological innovation processes and spatial arrangements, this study adds to the expanding body of knowledge on the spatial aspects of technological innovation and provides valuable insights for policymakers looking to enhance global competitiveness and foster sustainable economic growth in the AMI. The findings advance our knowledge of how to support sustainable economic development in emerging nations by highlighting the critical role that innovation and technology management play in removing regional development obstacles and encouraging the modernization of industrial structures.

In recent years, the importance of advanced manufacturing in the innovation and sustainability of nations and regions has been demonstrated. Several studies have highlighted the need to maintain and build an advanced manufacturing-enterprise-innovation ecosystem (AMEIE). Thus, in this paper, the symbiosis-evolution model of AMEIE is established according to ecological theory. On the basis of analyzing the evolution equilibrium and its stability conditions, different symbiosis-evolution scenarios were examined through a computer simulation. The results showed the following; (1) AMEIE is a complex system composed of advanced manufacturing enterprises, new-generation information-technology enterprises, and innovation-service organizations that create value cooperatively around resource acquisition and innovation interaction in a given symbiotic environment; (2) in this innovation ecosystem, symbiosis-evolution results depend on the symbiotic coefficient between the subjects; (3) the synergy of the subjects can be maximized in mutualism symbiosis evolution, while system members should strive to switch from parasitic symbiosis evolution or partial symbiosis evolution to mutualism symbiosis evolution. Therefore, countermeasures and suggestions are proposed, such as balancing the dynamics of population symbiosis evolution, optimizing the symbiotic environment, and formulating and improving efficient collaborative innovation mechanisms, which can provide theoretical support to the promotion of the evolution and development of AMEIE, along with mutualism symbiosis evolution.