New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach

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Main Authors: Mónica, Espinosa-Blasco, Gabriel I., Penagos-Londoño, Felipe, Ruiz-Moreno
Format: Book
Language:English
Published: Springer 2023
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Online Access:https://link.springer.com/article/10.1007/s13132-023-01295-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7823
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spelling oai:localhost:PNK-78232023-04-12T04:52:21Z New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach Mónica, Espinosa-Blasco Gabriel I., Penagos-Londoño Felipe, Ruiz-Moreno Allocation of Innovation Subsidies Machine Learning Approach CC BY Gaining more insights on how R&D&i subsidies are allocated is highly relevant for companies and policymakers. This article provides new evidence of the identification of some key drivers for companies participating in R&D&i project selection processes. It extends the existing literature by providing insight based on sophisticated, accurate methodology. A metaheuristic optimization algorithm is employed to select the most useful variables. Their importance is then ranked using a machine learning process, namely a random forest. A sample of 1252 cases of R&D&i subsidies is used for more than 800 companies based in Spain between 2014 and 2018. 2023-04-12T04:52:21Z 2023-04-12T04:52:21Z 2023 Book https://link.springer.com/article/10.1007/s13132-023-01295-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7823 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Allocation of Innovation Subsidies
Machine Learning Approach
spellingShingle Allocation of Innovation Subsidies
Machine Learning Approach
Mónica, Espinosa-Blasco
Gabriel I., Penagos-Londoño
Felipe, Ruiz-Moreno
New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
description CC BY
format Book
author Mónica, Espinosa-Blasco
Gabriel I., Penagos-Londoño
Felipe, Ruiz-Moreno
author_facet Mónica, Espinosa-Blasco
Gabriel I., Penagos-Londoño
Felipe, Ruiz-Moreno
author_sort Mónica, Espinosa-Blasco
title New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
title_short New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
title_full New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
title_fullStr New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
title_full_unstemmed New Insights on the Allocation of Innovation Subsidies: A Machine Learning Approach
title_sort new insights on the allocation of innovation subsidies: a machine learning approach
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s13132-023-01295-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7823
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