The role of government support in sustainable urban development has always been a research topic of scholars, but research focusing on the relationship between government innovation support and urban green sustainable development is still relatively rare. This article uses China’s innovative city pilot policy (ICPP) to represent the innovation support provided by the government and address the interaction mechanism and the spatial spillover effect of China’s innovative city pilot policy (ICPP), green technology innovation (GTI), and green sustainable development performance (GSDP) with the support of the mediating effect model and the spatial econometric model. Based on panel data of 24 cities in the Yangtze River Delta urban agglomeration from 2001 to 2020, this paper establishes an evaluation index system of green sustainable development performance (GSDP), measuring with the SBM directional distance function based on the undesired output. This paper adopts the spatial difference-in-difference model (SDID) to study the impact mechanism of the ICPP on the GSDP in the Yangtze River Delta. The results show that (i) there is a positive spatial spillover effect of GSDP in the urban agglomeration of the Yangtze River Delta urban agglomeration; (ii) ICPP has a significantly positive effect on GSDP, as verified by several robustness checks; (iii) green technology innovation plays a partial mediating effect in the relationship of the ICPP and GSDP.

A rational urban spatial development pattern is necessary for China to optimize urban resource allocation and promote low-carbon urban development. Although research on carbon emission reduction has increased, few studies examine the impact of urban spatial development patterns from a spatial–structural perspective. This study uses static and dynamic spatial Durbin models to analyze the dynamic impact of urban spatial development patterns on carbon emissions based on municipal-level statistical data and LandScan high-resolution global population distribution data from 2004 to 2019. The empirical results show that (1) urban spatial development patterns characterized by coefficients of variation have an inverted U-shaped relationship with carbon emissions; (2) direct spatial spillover effects have a long-term U-shaped relationship, while indirect effects have an inverted U-shaped relationship; (3) by analyzing the heterogeneity of city sizes and geographical area, the smaller the city is, the more effectively the compact urban spatial development pattern reduces carbon emissions; and (4) compact urban spatial development patterns in the west suppress carbon emissions compared to the east and central regions. The findings of this paper have policy implications for optimizing spatial development patterns and achieving low-carbon development in Chinese cities.

Although there have been many studies on the factors influencing university innovation, few studies have focused on the causal relationship between government innovative support and the innovation ability of universities (IAU). To fill this research gap, based on the quasi-natural experiment perspective of the pilot policy of innovation and entrepreneurship demonstration-bases (IEDB), this study uses the difference-in-differences spatial-autocorrelation model and the mediating-effect model to study the influence mechanism of the government innovation support on IAU, based on Project 211’s panel data consisting of 104 universities and provinces and ministries in China, from 2009 to 2018. The results showed that: (1) the pilot policy of IEDB has a significantly positive effect on IAU, and its robustness is verified; (2) the university–industry cooperation (UIC) intensity has a partial mediating effect on the relationship between the pilot policy of IEDB and IAU; and (3) the pilot policy of IEDB shows a more significant positive impact on the IAU of research-oriented than on non-research-oriented universities.

Improvisation is an effective way to cope with rapid changes and obtain unexpected opportunities in a complex environment. Based on the cognitive-affective system theory, this study investigates the dual mediating role of cognitive flexibility and emotional intelligence between shared leadership and improvisation and the moderating role of promotion focus. We used multilevel and multi-sourced data to test the theoretical model and used a social network approach to measure shared leadership in teams. Our sample was comprised of 40 teams and 240 team members. The empirical findings indicated that cognitive flexibility and emotional intelligence mediated the relationship between shared leadership and improvisation; promotion focus moderated the relationship between shared leadership and improvisation, and the mediation effect via cognitive flexibility. This study contributes to expanding on improvisation research from the perspective of shared leadership and incorporating both the cognitive and the emotional process of the generation of improvisation into a theoretical framework from a compound perspective, which will open the black box for the mediation mechanism from shared leadership to improvisation. Furthermore, promotion focus is introduced into the research and creatively corresponds to the cognition-affection mediation mechanism, which expands the applicable scope of the regulatory focus theory.

Government financial investment has been increasingly adopted as a policy support to stimulate university–enterprise cooperation, however, empirical research from the perspective of knowledge flow remains limited. We reason that school–enterprise knowledge flow can be divided into dual stages, namely, knowledge creation and knowledge transfer, and this dual efficiency can be measured with the super-efficiency DEA model. The results show that the average value of knowledge creation efficiency (KCE) is higher than knowledge transfer efficiency (KTE). We adopt the Dynamic Generalized Spatial Model method to study the effect of government support on knowledge flow dual efficiency, and the regression results show that government support has a nonlinear effect on KCE while having a positive impact on KTE. We find that intergovernmental competition has a moderating influence on the relationship between government support and dual efficiency. Fiscal transparency can enhance the moderating effect of intergovernmental competition.