Which projects are selected for an innovation subsidy? The Portuguese case

Santos, Anabela; Cincera, Michele; Neto, Paulo; Serrano, Maria Manuel

doi:10.1007/s10258-019-00159-y

Cited by 9 publications

(4 citation statements)

References 46 publications

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“…In both cases, the effect size is more important when firms use grants, but only when compared with leasing. Grants’ robust and positive effect makes sense because the probability of receiving them is generally associated with the likelihood of job creation ( Santos et al, 2019 ), creating an incentive for employment growth. In addition, when leasing is associated with an investment in fixed assets, the additional equipment required for innovation purposes can lead to increased production, which could explain the positive effect of output additionality on employment growth and turnover growth (although of a smaller relative size).…”

Section: Resultsmentioning

confidence: 99%

Sources of financing: Which ones are more effective in innovation–growth linkage?

Santos,

Cincera,

Cerulli

2024

Economic Systems

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Section: Resultsmentioning

confidence: 99%

Sources of financing: Which ones are more effective in innovation–growth linkage?

Santos,

Cincera,

Cerulli

2024

Economic Systems

Self Cite

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“…Furthermore, they disregard the distribution of EU funds among distinct thematic objectives and activity sectors in each region or country. The dominant research stream is built on econometric analyses (e.g., [4,[49][50][51][52][53]). However, it also yields conflicting results [54], leading various scholars to question its usage [54][55][56].…”

Section: Literature Reviewmentioning

confidence: 99%

How Efficiently Does the EU Support Research and Innovation in SMEs?

Henriques

Viseu

Neves

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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The European Regional Development Fund devoted around 66 billion Euros to the financial support of innovation and productivity in European enterprises over the 2014–2020 programming period. In this framework, we assessed the implementation of the Operational Programmes dedicated to fostering research and innovation, particularly in small and medium-sized enterprises. With this aim, we used a network slack-based data envelopment analysis model paired with cluster analysis that encompasses a multitude of performance framework indicators to assess 53 Operational Programmes from 19 countries. Our findings suggest that compared to transition and less developed regions, more developed regions present a higher room for improvement. Also, less developed regions present a better performance when they employ their funding against more developed regions, suggesting that further funding should be channelled for leveraging research and innovation in the former regions. Finally, Operational Programme managers should focus on solving the problems both inherent to the poor outcomes in terms of enhancing the number of researchers working in improved research infrastructures and promoting the technology transfer between research institutions and enterprises.

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“…Santos et al [20] provided a precise analysis about the selection process of applications submitted for public support, and found that firms with approved applications were those that expect to invest more and forecast a higher increase. Bai et al [21] explored the impacts of government R&D subsidies on the green innovation of energy-intensive firms, and showed that government R&D subsidies increase the green innovation of energy-intensive firms. Liu et al [22] found the level of regional economic development moderates the impact of government subsidies and there is more significant for non-state-owned enterprises than state-owned ones.…”

Section: Literature Reviewmentioning

confidence: 99%

The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain

Chen

Huang

et al. 2019

IJERPH

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This paper constructs a dual-channel value chain composed of one altruistic manufacturer and one altruistic retailer, where the manufacturer makes green innovation input for green products and sells its green products to its customers through both the direct channel and the traditional channel, the retailer provides channel service for customers and sells green products through the traditional channel. We consider two scenarios in which the manufacturer and the retailer make decentralized and centralized decisions, respectively. We develop two dynamic game models for the two scenarios and analyze the dynamic behaviors of the two dynamic game models using bifurcation diagram, LLE (largest Lyapunov exponent) and attraction of basin, etc. We find that the stability region in decentralized decision model is greater than that of centralized decision, and narrow with increase of service value, green innovation input. In the decentralized decision model, the stability of the system decreases with the altruistic behavior increasing. With the price adjustment speed increasing, the dual-channel green value chain system enters into chaotic state through flip bifurcation or N-S bifurcation. In the stable state, the manufacturer and the retailer can obtain the maximum utility with the appropriate value of green innovation input. In the chaotic state, the utilities of the manufacturer and retailer are greatly affected and significantly reduced. This study will provide good guidance for sustainable development decision-making of dual-channel green value chain.

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Which projects are selected for an innovation subsidy? The Portuguese case

Cited by 9 publications

References 46 publications

Sources of financing: Which ones are more effective in innovation–growth linkage?

Sources of financing: Which ones are more effective in innovation–growth linkage?

How Efficiently Does the EU Support Research and Innovation in SMEs?

The Impacts of Green Innovation Input and Channel Service in a Dual-Channel Value Chain

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