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Green innovation is an important driver for the sustainable development of the real economy and the realization of a green transformation. Previous studies have paid less attention to the relationship between dividend payments and the persistence of green innovation and neglected the mechanism of knowledge management on the relationship between the two. Using Chinese listed non-financial companies from 2007 to 2022, this paper empirically investigates the effect and mechanism of dividend payment on corporate green innovation persistence based on two perspectives: principal–agent theory and incentive theory, using Tobit and negative binomial models. It was found that there is a non-linear inverted U-shaped relationship between dividend payments and the persistence of green innovation. Dividend payments influence the persistence of green innovation through agency costs and knowledge management capabilities. Both independent director networks and knowledge spillovers have a positive impact on the relationship between the two. Based on firms' characteristics, the inverted U-shaped relationship between dividend payment and green innovation persistence is found to be more significant for non-state-owned firms and high-tech firms. Depending on the shareholder type, the inverted U-shaped curve between dividend payments for shareholding managers and green innovation persistence is the steepest. This study enriches the relevant literature on green innovations. In addition, it provides companies with a reference for formulating appropriate dividend policies, improving knowledge management capabilities, and improving the persistence of green innovation at a firm level. [ABSTRACT FROM AUTHOR]

Knowledge spillovers, driven by development and research projects, are crucial in generating new companies and services. They enhance innovation, improve competitiveness, and sustain the economic growth of nations. Hence, this paper aims to examine the relationship between knowledge spillovers and economic growth. It offers a comprehensive review of the scientific literature on the relationship between knowledge spillovers and economic growth, investigating the impact of economic cycles on knowledge spillover. Doing this provides valuable insights into how to leverage them at the different stages of the economic cycle. Hence, a PRIMA systematic review was conducted. Articles from the last 15 years were analyzed from repositories and scientific databases with a Cohen's kappa coefficient of 0.8902. This review identifies and presents a systematic analysis of the impacts of favoring and hindering knowledge spillovers in the economic growth of a nation. These effects offer greater resilience to a nation after periods of recession. In addition, the case study of three countries is presented to illustrate the findings from the review. The results show that better utilizing knowledge spillovers to enhance economic growth depends on a functional compromise between the university, industry, and governments to understand and commit to knowledge-based economic development. Our study has implications for policymakers who aim to boost economic growth by promoting knowledge spillovers. [ABSTRACT FROM AUTHOR]

The global digitization trend provides a favorable development environment for the efficient acquisition of knowledge and technology. However, restrictions imposed by countries on digital trade have hindered this trend. This study is based on 60 sample countries to study the impact of the digital trade barrier (DTB) on the technology innovation efficiency (TIE) of each country and the pathways from 2014 to 2020. Research finds that DTB significantly inhibits TIE. Among the five different policy fields that form DTB, Infrastructure and Connecting DTB and Other DTB have the greatest negative impact on TIE. A mechanism analysis found that DTB increases the difficulty of acquiring knowledge spillover and the high cost of research and development, leading to the mismatch and low efficiency of innovation resources, ultimately leading to a reduction in technological innovation efficiency in various countries. Participating in international technological innovation networks and improving technological innovation capabilities have a moderating effect on the aforementioned negative impacts that is beneficial for the sustainable development of national technological innovation. Heterogeneity tests indicate that countries with weaker innovation capabilities, low- and middle-income countries, and countries that have not joined the OECD have a more significant negative impact. This study serves as an important reference for the government to adjust digital trade policies and guide the effective use of external resources for sustainable and efficient technological innovation. [ABSTRACT FROM AUTHOR]

Transitioning from a linear economy to a circular economy (CE) supports the realisation of societal values towards more sustainable development. This article identifies mechanisms by which circularity can be embedded in entrepreneurial ecosystems (EEs) through the flow of relevant knowledge and values. It presents a dynamic model that illustrates how reverse knowledge spillovers from entrepreneurs can complement traditional technological knowledge spillovers from incumbents, ultimately advocating for CE values and validating circular knowledge. The validated circular knowledge, in turn, alters the knowledge filter of incumbents, leading to shifts in their research and development (R&D) focus and their willingness to embrace new knowledge. This symbiotic relationship of knowledge spillovers between circular start-ups and incumbents can significantly enhance the motivation of participants in EEs to adopt CE values and leverage circular knowledge. Overall, the article shows how knowledge spillovers can facilitate a wider adoption of circular knowledge and CE values within EEs. [ABSTRACT FROM AUTHOR]

The paper is the first attempt to integrate microdata on universities and firms across most European countries in order to disentangle the impact of knowledge spillovers from human capital (graduates) and intellectual capital (codified research output) on the performance of firms. Data cover all Higher Education Institutions (HEIs) registered in the official European Tertiary Education Register (ETER). Data on performance of firms are from ORBIS and refer to change in the 2011–2015 period in turnover, total assets, intangible assets, and employment. Firms are georeferred and the spillovers from all HEIs located at a given distance are summed and integrated. The findings suggest that, among knowledge spillovers, the creation of human capital via education of students has a larger impact than the circulation of research knowledge. Moreover, the two factors seem to be complements rather than substitutes. Spatial proximity is important for embodied knowledge spillovers (i.e. educated people), while for codified and disembodied spillovers (citations to publications) the spatial dimension is less relevant. The findings have important managerial and policy-making consequences. [ABSTRACT FROM AUTHOR]

Previous empirical studies have highlighted the importance of the institutional framework in fostering a transition towards the circular economy (CE). Adopting a dynamic approach, which merges three Flash Eurobarometer surveys conducted in 2015, 2017 and 2021 into a single dataset, we observe the evolution in the factors determining the adoption of CE practices. Firstly, using factor analysis, our results indicate two groups of institutional drivers: knowledge and environmental spillovers. Secondly, applying a multivariate probit model, we observe that both spillovers have a positive effect on the adoption of the CE. Finally, we find that the effect of knowledge spillovers remains relatively constant, while that of environmental spillovers tends to increase. This suggests that firms are increasingly benefiting from the adoption of circular practices by their peers. Policymakers should take into account that a more intense knowledge spillovers and a stronger institutional framework will increase the likelihood of European small‐ and medium‐sized enterprises (SMEs) adopting CE practices. [ABSTRACT FROM AUTHOR]

Multi-scale urban innovation networks are important channels for intra- and inter-city knowledge spillovers and play an important role in urban industrial innovation and growth. However, there is a lack of direct evidence on the impact of multi-scale urban innovation networks on industrial development. Drawing upon the "buzz-and-pipeline" model, this paper analyzes the impact of multi-scale urban innovation networks on industrial development by taking the automobile manufacturing industry in China's five urban agglomerations as an example. Firstly, based on the Form of Correlation between International Patent Classification and Industrial Classification for National Economic Activities (2018) and co-patents, we construct urban innovation networks on three different geographical scales, including intra-city innovation networks, inter-city innovation networks within urban agglomerations, and innovation networks between cities within and beyond urban agglomerations. Then, we employ the ordinary least squares model with fixed effects at the urban agglomeration level to explore the impact of urban multi-scale knowledge linkages on the development of the automobile manufacturing industry and the results showed that urban innovation networks at three different geographical scales have different impacts on industrial development. Specifically, intra-city innovation networks have a facilitating effect on industrial development, while both inter-city innovation networks within urban agglomerations and innovation networks between cities within and beyond urban agglomerations have an inverted U-shaped impact on industrial development. The interactions between urban innovation networks on three different geographical scales have a negative effect on industrial development. Simultaneously, the agglomeration level of urban industry plays a positive moderating role in the impacts of multi-scale urban innovation networks on industrial development. [ABSTRACT FROM AUTHOR]

Can dirty incumbents leverage their existing knowhow to transition to clean technologies? To address this question, we systematically measure direct and indirect knowledge spillovers between clean and dirty technologies using the patent citation network. We assume citations reflect pathways of learning and knowledge proximity. We first examine the proportion of citations in clean patents that directly refer to dirty technologies. Secondly, we investigate how clean and dirty technologies are indirectly linked in the citation network and which sectors most frequently bridge these two fields. We find that less than one-tenth of clean patents contain a direct citation to prior dirty patents, but nearly two-thirds are indirectly linked. Significant sectoral heterogeneity exists. Patents related to control technologies, data processing and optimization, and the management of heat and waste, frequently serve as bridges between clean and dirty technologies in the citation network. Our results have implications for: firm-level diversification strategies, green industrial policy, and the modelling of directed technical change, where lower knowledge spillovers between clean and dirty technologies correspond to higher path dependencies. • We present novel evidence on the extent to which clean technologies learn from prior dirty technologies. • We construct a new measure of indirect knowledge spillovers between clean and dirty sectors. • We systematically identify "bridge technologies" that connect clean and dirty sectors. • We highlight key implications for the transition from dirty to clean innovation. [ABSTRACT FROM AUTHOR]