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AbstractEco‐innovation is important for sustainable development and organizational culture is an endogenous factor that can affect eco‐innovation. Different types of organizational culture can have differentiated effects on enterprise eco‐innovation. This study aims to reveal the relationship between organizational culture and eco‐innovation and analyze the mechanism of the influence of organizational culture on eco‐innovation at the individual and organizational levels. Manufacturing firms in China are selected as the research sample, and structural equation modeling is used for the empirical analysis. Results show that adhocracy culture and clan culture have a positive impact on the eco‐innovation of the firms, and green creativity and green absorptive capacity play a partial mediating role in the relationship. Moreover, hierarchy culture and market culture have no significant impact on the eco‐innovation of the enterprises, but green creativity plays a complete intermediary role in the relationship between hierarchy culture and eco‐innovation. Based on the conclusions, the management implications are discussed, and future research directions are outlined.

The main sources of regional innovation investment in China are government direct investment and indirect grant. The positive relationship between innovation investment and regional innovation performance has been recognized by scholars, but the relationship between direct investment, indirect grant, and innovation performance and the mechanism of their impact on innovation performance need to be clarified. This study uses 5‐year data from China regional innovation, using multiple regression analysis, found that government grant and actor's investment can facilitate performance, but the government grant for innovation investment has a crowding‐out effect, absorptive capacity positively moderated the relationship between Research and Development (R&D) and innovation performance but play a negative moderate role between government grant and innovation performance. On the basis of the empirical result, China's regional governments need to focus on institutional and environmental development in the future, pay more attention to the structural problems of innovation input, promote flow of talents orderly, and rationally build regional knowledge chain, so as to enhance efficiency of innovation more effectively.

With the rapid development of knowledge economy in the 21st century, e-commerce is undoubtedly a more popular topic, with high efficiency and low cost in all areas. However, regional imbalance of e-commerce is a new problem in China. In this paper, we present an explanation from eight perspectives to analyze the causes of this phenomenon: economic level, Internet penetration, government policy, credit system, logistics, enterprise participation, talent, and customers attitude. Based on analysis of the reasons for the regional imbalance of e-commerce, this paper puts forth suggestions for future developing e-commerce in the three different areas.

AbstractEcological innovation is an important conduit to realizing economic and environmental benefits. As such, improving enterprise ecological innovation performance has recently gained prominence. In this vein, the interaction between internal and external driving factors is key to influencing ecological innovation performance. Although existing studies underscore network embedding as one of the important external driving factors, research is lacking on the influence of the interaction mechanism between political network embedding and internal driving factors on enterprise ecological innovation performance. Therefore, by engaging social network theory and social capital theory, this paper proposes a moderated‐mediation model, with absorptive capacity as the mediator and dynamic capability as the moderator for an empirical investigation. Analyzing 302 items of survey data, the current study discusses the influence mechanism of political network embeddedness on enterprise ecological innovation performance. Regression results confirmed no significant correlation between political network embeddedness depth and enterprise ecological innovation performance. However, political network embeddedness breadth and absorptive capacity positively affected enterprise ecological innovation performance. Absorptive capacity partially mediated the relationship between political network embeddedness breadth and enterprise ecological innovation performance. Dynamic capability also moderated the relationship between absorptive capacity and enterprise ecological innovation performance. The study results expanded the internal mechanism of the relationship between political network embeddedness and enterprise ecological innovation performance, corroborating the imperativeness of external political network resources and internal capital such as absorptive capacity and dynamic capability to improve enterprise ecological innovation performance.

AbstractOver the last 20 years, university–industry–government collaborative innovation has received extensive attention in theory and practice. However, the question of how to integrate and understand collaborative innovation from a theoretical perspective has not been thoroughly studied. This study designed a regional collaborative innovation evaluation model based on the triple helix theory. The invention patent data of 31 provincial regions in China for the last 5 years are used to investigate the regional differences and dynamic evolution of the collaborative innovation and the interaction and coupling relationship between intraregional and interregional industries, universities, and governments empirically. This study found that the number of invention patents in China has rapidly grown yearly, indicating that industries are the most important source of invention patents. The difference in the regional distribution of China's collaborative innovation output is remarkable, showing a pattern of "strong east and weak west" in the total volume and "south fast north slow" in the growth rate. The bilateral synergistic effect of industry–university relations is strong considering two‐dimensional cooperation, and the relationship is close. Collaborative innovation is dominated by intraregional cooperation, whereas interregional cooperation shows a growing trend. The tripartite relationship between university, industry, and government shows a loose trend. Certain provinces with weak regional innovation capabilities, such as Gansu, Hainan, Xinjiang, and Qinghai, have a relatively close cooperation level, which is in the stage of government‐led innovation and development. However, Guangdong, Chongqing, Anhui, Jiangsu, and other provinces with outstanding regional innovation capability do not have close cooperation between universities, industries, and governments, which are in the stage of innovation and development led by industries. This paper discusses the policy implications for different regions based on the research conclusions.

Background: Pathway studies highlight the help-seeking behaviours of patients with physical and mental illness. A number of these studies have been completed in other countries, but there have been few reports from China. Therefore, this study was planned to explore the characteristics of the help-seeking pathways of patients with mental illness from rural regions of China through the mental health professionals and treatment at the General Hospital of the People's Liberation Army (PLAGH). Methods: The pathway diagrams were documented for 203 subjects with various mental disorders using the translated version of the World Health Organization (WHO) pathway encounter form. The patterns of help-seeking and durations were analysed, and the χ2 test and Mann-Whitney U test were employed as needed. Results: On average, each patient consulted 3.6 caregivers. The vast majority of patients first visited local secondary general hospitals (SGHs) (35.5%, χ2 = 41.93, p < .0001) or local tertiary general hospitals (TGHs) (32%, χ2 = 36.21, p < .0001); however, 75.4% of them had not received professional diagnosis and treatment. The patients who first contacted the psychiatric service, finally reached the PLAGH, because of poor treatment or the high cost of medical care. Conclusion: The subjects first seek the help of various sources before attending PLAGH due to a lack of awareness of the treatment services and the fear of the stigma associated with mental disorders. The primary care, even the local general hospital, did not act as a gatekeeper to psychiatric services.