The role of municipal knowledge management vehicles in facilitating international knowledge sharing and policy mobility: the Durban story

Moodley, Sogen

doi:10.1080/02697459.2021.1964781

Cited by 2 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kongsoontornkijkul et al (2019) mentioned that technological talent brought new innovative thinking and opened up new innovation paths. Moodley (2021) found that knowledge management tools can stimulate innovation through knowledge sharing. Oughton et al (2002) pointed out that industrial policies drive firms to collaborate and innovate, break knowledge monopolies and thus enhance innovation performance.…”

Section: The Theoretical Analyses and Hypothesesmentioning

confidence: 99%

The relationship between industrial policy and exploratory innovation – evidence from high-tech enterprise identification policy in China

Chen

Kim²

2023

View full text Add to dashboard Cite

PurposeThe relationship between industrial policy and exploratory innovation is imperfect.Design/methodology/approachThe authors use Chinese high-tech enterprise identification policy (HTEP) as a natural experimental group to test policy impacts, spillover effects and mechanisms of action.FindingsFirst, HTEP promotes exploratory innovation. In addition, HTEP has a greater impact on non-exploratory innovation. Second, HTEP has spillover effects in two phases: HTEP (2008) and the 2016 policy reform. HTEP affects exploratory innovation in nearby non-high-tech firms, and the policy effect decreases monotonically with increasing distance from the treatment group. Third, HTEP affects innovation capacity through financing constraints, technical personnel flow and knowledge flow, which explains not only policy effects but also spillover effects. Fourth, the analysis of policy heterogeneity shows that the 2016 policy reforms reinforce the positive effect of HTEP (2008). By deducting the effects of other policies, the HTEP effect is found to be less volatile. In terms of the continuity of policy identification, continuous uninterrupted identification has a crucial impact on the improvement of firms’ innovation capacity compared to repeated certification and certification expiration. Finally, HTEP has a crowding-out effect in state-owned enterprises and large firms’ innovation.Originality/valueThis paper contributes to the existing literature in several ways. First, the authors enrich the literature on industrial policy through exploratory innovation research. While previous studies have focused on R&D investment and patents (Dai and Wang, 2019), exploratory innovation helps firms break away from the inherent knowledge mindset and achieve sustainable innovation. Second, few studies have explored the characteristics of industrial policies. In this paper, the authors subdivide the sample into repeated certification, continuous certification and certification expiration according to high-tech enterprise identification. In addition, the authors compare the differences in policy implementation effects between the 2016 policy reform and the 2008 policy to provide new directions for business managers and policy makers. Third, innovation factors guided by industrial policies may cluster in specific regions, which in turn manifest externalities. This is when the policy spillover effect is worth considering. This paper fills a gap in the industrial policy literature by examining the spillover effects. Finally, this paper also explores the mechanisms of policy effects from three perspectives: financing constraints, technician mobility and knowledge mobility, which can affect not only the innovation of beneficiary firms directly but also indirectly the innovation of neighboring non-beneficiary firms.

show abstract

Section: The Theoretical Analyses and Hypothesesmentioning

confidence: 99%