Unlocking the secrets of Spain's R&D subsidies: An advanced analysis of applicant companies

被引:0
|
作者
Espinosa-Blasco M. [1 ]
Penagos-Londoño G.I. [2 ]
Ruiz-Moreno F. [3 ]
Vilaplana-Aparicio M.J. [4 ]
机构
[1] Department of Financial Economics and Accounting, University of Alicante, Alicante
[2] Department of Economics, Pontificia Universidad Javeriana, Bogotá
[3] Department of Marketing, University of Alicante, Alicante
[4] Department of Communication and Social Psychology, University of Alicante, Alicante
关键词
finite mixture model; innovation strategy; Innovation subsidies; natural language processing; neural network; public funds; R&D;
D O I
10.2478/amns.2023.2.01144
中图分类号
学科分类号
摘要
Innovation is crucial for companies to stay competitive, provide value to customers, and generate profits. Likewise, research and development (R&D) is critical for companies to sustain productivity growth. Spain has lagged behind other countries in terms of R&D investment, with only 1.4% of its GDP allocated to R&D, well below the European average. To improve this situation, the government offers subsidies to stimulate R&D in Spanish companies. This study examines the profile of subsidized companies in Spain. The aim is to provide insight into the support for companies that apply for innovation subsidies by analyzing the profile of subsidized companies and identifying key variables influencing the success of obtaining innovation grants. The study is based on advanced estimation methods. Natural language processing (NLP), artificial neural network (ANN) techniques, and clustering are used to perform rigorous and robust analysis of the profile of subsidized companies in Spain. The study thus contributes to knowledge in the field of innovation subsidies. © 2023 Mónica Espinosa-Blasco et al., published by Sciendo.
引用
收藏
页码:3521 / 3544
页数:23
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