Foresight for shaping national innovation systems in developing economies

Aguirre-Bastos, Carlos; Weber, Matthias

doi:10.1016/j.techfore.2017.11.025

Cited by 39 publications

(12 citation statements)

References 29 publications

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“…But we cannot dismiss the difficulties in quantifying these qualitative aspects. We must, then, absolutely combine macro and micro indicators, as only one micro type bottom-up approach is currently discussed in the literature (Aguirre-Bastos & Weber, 2017 ). It should be supplemented by a top-down approach, of the macro kind, leading us to consider innovation policies to strengthen the capacities of local communities and disadvantaged areas.…”

Section: Relevant Indicators For Nis In Low- and Middle-income Countriesmentioning

confidence: 99%

National Innovation Systems in Low-Income and Middle-Income Countries: Re-evaluation of Indicators and Lessons for a Learning Economy in Senegal

Casadella

Tahi

2022

J Knowl Econ

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The National Innovation System (NIS) approach exists today in multiple terminologies, through a variety of conceptualizations all seeking to provide real means of action to public decision-makers on the issue of innovation, knowledge and economic development. This approach was originally defined by and for high-income countries and not for low- and middle-income countries. Based on the classification of the countries of the World Bank on the Gross National Income of the countries studied, our article proposes to focus on the relevant indicators, not predefined upstream, in order to measure and evaluate the systemic innovation of the low- and middle-income countries, from a learning economy perspective. To answer this, we propose a qualitative model that we validate in the case of Senegal. A low-income economy, it draws most of its efforts not in terms of S&T but more broadly in its learning policy, its reforms on higher education or proposals on entrepreneurship. These efforts are commendable in an economy where macroeconomic conditions are holding back its growth. The originality of our research relates to the implementation of these indicators and the lessons it brings to Senegal on the richness of the exploitation of capacities and skills as a vector of a learning economy.

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Section: Relevant Indicators For Nis In Low- and Middle-income Countriesmentioning

confidence: 99%

National Innovation Systems in Low-Income and Middle-Income Countries: Re-evaluation of Indicators and Lessons for a Learning Economy in Senegal

Casadella

Tahi

2022

J Knowl Econ

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“…At the meso level, economic development (Chang & Chen, 2004; Gao et al., 2017; Sweet & Maggio, 2015), scale agglomeration (Andersson et al., 2009; Anokhin & Wincent, 2012; Papageorgiadis & Sharma, 2016), education (Bartel & Lichtenberg, 1987; Baumol, 2005; Chi & Qian, 2010), and institutional factors (Lee & Law, 2017; Potrafke, 2010; Wang et al., 2019) are areas of concern. In addition, some studies have focused on the impact of corruption (Blackburn & Forgues‐Puccio, 2009; Sena et al., 2018; Wen et al., 2018), bureaucracy (Bronzini & Piselli, 2016; Zhou et al., 2019), and foresight (Aguirre‐Bastos & Weber, 2018; Da Costa et al., 2008; Havas et al., 2010) on the level of innovation systems. However, most of the research on these influencing factors of innovation systems consider the internal indicators of their own systems, but seldom consider the interaction between different innovation systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

Wang

Wei

et al. 2021

Growth and Change

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The city is both a carrier and a subject of innovation. Based on the triple helix theory of industry–university research and the theory of spatial correlation, this study constructs a collaborative innovation framework both within the cities and between cities, and uses a network data envelopment analysis (DEA) model and spatial econometric model to measure and analyze the collaborative innovation efficiency in 75 innovative cities in China. The results show that collaborative innovation efficiency within cities is on the rise, and the efficiency of “research to production” is significantly higher than that of “learning to research.” Industrial structure and foreign factors have inhibited the efficiency improvements, and infrastructure and living standards have different promoting effects on different stages of efficiency. Between cities, capital flows have obvious spillover effects, which promote the efficiency of innovation networks, while the long‐term characteristics of institutional learning have a near‐term negative impact.

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“…The resource mobilization function comprises the activities associated with the allocation of resources as an input function to the innovation system -mainly contributing to serving the sector overall. Sectors rely on a broad set of technologies in various stages of maturity and consequently, on different IS (Aguirre-Bastos & Weber, 2018;Bergek et al, 2015), which involve identifying strategic resources to revitalize innovation activities. Thus, the identification of relevant sectors for the patent applications contributes to improving the allocation of resources both at public institutions and private sectors.…”

Section: Identifying Relevant Sectors For Patent Applicationsmentioning

confidence: 99%

how the quality of patents contributes to revitalising the innovation system?, evidence from the renewable energy sector

Herrera

Méndez-Morales

Barrios-Campos

2021

rev. investig. desarro. innov

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There is an intense discussion on the impact of the quality of patents on innovation and economic development. Consequently, measuring the quality of patents becomes an essential issue to understand how it affects the innovation system (IS). This paper shows a systematic review of patent quality indicators and their contribution to the literature. Additional to the systematic review, a dynamic behaviour hypothesis is developed to comprise how patent value indicators can be used to create a set of strategies to improve the innovation of the renewable energy sector. Our results show a novel framework for analysing the effects of patent value on the IS that could be useful for renewable energy diffusion in Latin-America.

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Foresight for shaping national innovation systems in developing economies

Cited by 39 publications

References 29 publications

National Innovation Systems in Low-Income and Middle-Income Countries: Re-evaluation of Indicators and Lessons for a Learning Economy in Senegal

National Innovation Systems in Low-Income and Middle-Income Countries: Re-evaluation of Indicators and Lessons for a Learning Economy in Senegal

Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China

how the quality of patents contributes to revitalising the innovation system?, evidence from the renewable energy sector

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