Knowledge diffusion channels in Brazil: The effect of inventor mobility and inventive collaboration on regional invention

Matos, Cirlene Maria de; Gonçalves, Eduardo; Freguglia, Ricardo da Silva

doi:10.1111/grow.12467

Cited by 4 publications

(2 citation statements)

References 56 publications

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“…In this article, research and development (R&D) is interpreted as a process of generating new knowledge. Performance indicators for this process can be determined by tracking the research productivity of actors, which can be measured, for example, by the number of academic publications [4][5][6][7][8].…”

Section: Value Of the Datamentioning

confidence: 99%

Changing significance of Russian regions’ research and technology capacity components

Peker

2022

Balt. Reg.

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This article offers data that can be used in comparative studies of research and technology capacity at the level of Russian regions. The database comprises six indicators of the development of personnel-related and financial components of a national research and technology system and research results as evinced in research publications and advanced manufacturing technologies that appeared in 2010—2020. This set of interconnected indicators makes it possible to evaluate Russian regions’ research and technology capacity and research output, which affect the degree of development of the innovative environment. The data on regional research output may be of assistance to further regional socio-economic research. The data set includes statistical indicators for 85 Russian regions for 2010—2020, as reported by ROSSTAT. The data on the number off publications and variations therein were obtained from Scopus, the largest unified curated multidisciplinary abstract and citation database. The results are presented as tables and cartographical materials (three tables and six map charts).

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Section: Value Of the Datamentioning

confidence: 99%

Changing significance of Russian regions’ research and technology capacity components

Peker

2022

Balt. Reg.

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“…Nevertheless, this view has been increasingly challenged by many studies [9,10], which have indicated that knowledge can spread over long distances through mechanisms such as foreign direct investment [11,12], labor mobility [13,14], and technological proximity [15].…”

Section: Introductionmentioning

confidence: 99%

The Knowledge Spillover Effect of Multi-Scale Urban Innovation Networks on Industrial Development: Evidence from the Automobile Manufacturing Industry in China

Xiong,

2023

Systems

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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.

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International Technology Market Hotspots and Development Trends from the Perspective of Inventor Mobility

Chang

2023

J Knowl Econ

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Knowledge diffusion channels in Brazil: The effect of inventor mobility and inventive collaboration on regional invention

Cited by 4 publications

References 56 publications

Changing significance of Russian regions’ research and technology capacity components

Changing significance of Russian regions’ research and technology capacity components

The Knowledge Spillover Effect of Multi-Scale Urban Innovation Networks on Industrial Development: Evidence from the Automobile Manufacturing Industry in China

International Technology Market Hotspots and Development Trends from the Perspective of Inventor Mobility

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