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An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model

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An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model

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dc.contributor.author Yu, Haijing es_ES
dc.contributor.author Devece Carañana, Carlos Alberto es_ES
dc.contributor.author Guaita Martínez, José Manuel es_ES
dc.contributor.author Xu, Bing es_ES
dc.date.accessioned 2022-10-10T18:07:51Z
dc.date.available 2022-10-10T18:07:51Z
dc.date.issued 2021-04 es_ES
dc.identifier.issn 0040-1625 es_ES
dc.identifier.uri http://hdl.handle.net/10251/187392
dc.description.abstract [EN] The relationship between research and development (R&D) and economic growth is a hot topic. Most research indicates that R&D leads to innovation, which is conducive to economic growth. However, some scholars hold a different opinion, alleging that high R&D investment will not bring high economic growth. This scenario is also known as the Swedish paradox. We develop a new spatial heterogeneity model in the form of a mixed geographically weighted panel regression with spatial Durbin model (MGWPR-SDM). Using this model, we add to the debate over the possible existence of a Swedish paradox in China. The results show that the impact of aggregate R&D expenditure on economic growth follows an inverted U-shaped curve. The Swedish paradox appears after a threshold is reached, mainly due to business enterprise R&D expenditure rather than government R&D investment. However, from the perspective of R&D input per unit GDP, the impact of R&D intensity on economic growth is U-shaped, and the Swedish paradox occurs before the threshold is reached. Finally, the effect of government R&D expenditure and business enterprise R&D expenditure on economic growth has significant spatial heterogeneity. es_ES
dc.description.sponsorship The authors are very grateful to anonymous reviewers for their valuable comments that improved the quality of this paper. This work is supported by the Outstanding Youth Program of Zhejiang Natural Science Foundation under Grant LR20G030001; Key projects of Statistical Science Research of Zhejiang Provincial Bureau of Statistics Grant TJZZ03; and First Class Discipline of Zhejiang -A (Zhejiang Gongshang University-Statistics). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Technological Forecasting and Social Change es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject R&D es_ES
dc.subject Swedish paradox es_ES
dc.subject Economic growth es_ES
dc.subject Spatial heterogeneity es_ES
dc.subject MGWPR-SDM es_ES
dc.subject.classification ECONOMIA APLICADA es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.techfore.2020.120471 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials es_ES
dc.description.bibliographicCitation Yu, H.; Devece Carañana, CA.; Guaita Martínez, JM.; Xu, B. (2021). An analysis of the paradox in R&D. Insight from a new spatial heterogeneity model. Technological Forecasting and Social Change. 165:1-12. https://doi.org/10.1016/j.techfore.2020.120471 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.techfore.2020.120471 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 165 es_ES
dc.relation.pasarela S\424741 es_ES
dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES


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