Matthew effect, capabilities and innovation policy: the Argentinean case

Pereira, Mariano; Suárez, Diana

doi:10.1080/10438599.2017.1294544

Cited by 16 publications

(11 citation statements)

References 26 publications

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“…And the marginal utility of the first lag is higher than that of the second lag. This shows that the level of green urbanization in the Yellow River Basin has a significant cumulative advantage; that is; the increasing "inertia" in the Matthew effect [34]. A higher level of green urbanization means that in the past production activities; economic development and ecological benefits have a good degree of matching.…”

Section: Analysis Of Influencing Factorsmentioning

confidence: 94%

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

et al. 2020

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Promoting new-type urbanization with the concept of green development has become an inevitable requirement for high-quality development in the Yellow River Basin. Grasping the development trend and influencing factors of green urbanization level in the Yellow River Basin is of great significance for implementing the international conventions on environmental protection and participating in global environmental governance. This paper selects the green urbanization level panel data of nine provinces in the Yellow River Basin from 2006 to 2018. Then, principal component analysis and factor analysis are applied to measure and evaluate the green urbanization level of each province. Furthermore, this paper constructs a dynamic panel estimation model and uses differential generalized method of moments (DIF-GMM) model and system generalized method of moments (SYS-GMM) model to explore the influencing factors. The results show that the overall level of green urbanization in the Yellow River Basin has steadily and rapidly increased, and there are significant spatial differences. The green urbanization level of eastern provinces is significantly higher than that of central and western provinces. In addition, the overall level of green urbanization shows a convergence trend. From the perspective of influencing factors, the factors that have significant positive effects on the level of green urbanization include economic development level, technological innovation level, and urban size. Industrial structure, foreign direct investment (FDI), and education level counteract the level of green urbanization. However, environmental regulation strength and opening degree fail to pass the significance test. Therefore, it is necessary to promote and upgrade industrial transformation, improve the quality of opening up, and strengthen cooperation in technological innovation and environmental governance. There are requirements that the government control the urban size and population scientifically and implement the environmental access system strictly in order to improve the level of green urbanization in the Yellow River Basin. It is more possible to achieve harmonious economic and ecological environment development.

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Section: Analysis Of Influencing Factorsmentioning

confidence: 94%

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

et al. 2020

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“…It aims to identify which kind of firms and local networks are most relevant in this process. In particular, and extending previous studies (e.g., Tanayama 2007, Aschhoff 2010, Crespi and Antonelli 2012, Pereira and Suárez 2018, this research evaluates how the subsidy history of firms as well as their links with local public funding consultants and foreign counterparts, influence their success in obtaining innovation subsidies. In doing so, our paper addresses the issue of why many innovation subsidy programs do not achieve the expected results.…”

Section: Introduction: Playing the Subsidy Gamementioning

confidence: 72%

Playing the innovation subsidy game: Experience, clusters, consultancy, and networking in regional innovation support

Rodríguez‐Pose

Belso‐Martínez

Díez‐Vial

2021

Cities

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“…Evidence also confirms that granted firms hire more labour, attain innovation results, are more productive and increase exports (AGUER; KOENIG; CARUGATI, 2015;CASTILLO et al, 2014;LERENA;MARTÍNEZ CORREA;. In terms of the allocation process, Pereira and Suárez (2017) have shown that the Matthew effect is positively associated with a firm's accumulation of capabilities and with other characteristics of the firm which they referred to as the reputation effect.…”

Section: The Argentinean Technological Fund and The Datasetmentioning

confidence: 80%

Opening the black box of recurrence in innovation policy

2021

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This paper studies the role that the three theoretical sources of recurrence – the Matthew effect – play in the process of the first and recurrent granting of innovation public funds. Those sources are a firm’s “reputation”, “innovation capabilities” and “formulation capabilities”. The empirical analysis is based on the Argentinean Technological Fund (in Spanish, FONTAR) between 2007-2018. The results show that firms’ formulation skills increase the probability of funds initially being granted, and then additional formulation skills and innovation capabilities increase the probability of recurrence, while reputation does the opposite.

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Matthew effect, capabilities and innovation policy: the Argentinean case

Cited by 16 publications

References 26 publications

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

Playing the innovation subsidy game: Experience, clusters, consultancy, and networking in regional innovation support

Opening the black box of recurrence in innovation policy

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