研发资金对创新发展水平影响的结构和比较分析:全球创新指数领导者和乌克兰的经验证据

IF 1.2 Q4 BUSINESS
Olena Dobrovolska, Ralf Sonntag, Wolfgang Ortmanns, Iryna Kadyrus, Tetyana Rudyanova
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引用次数: 0

摘要

本研究旨在确定不同利益相关者资助的研发支出结构对创新发展水平的影响。数据样本包括 2011-2020 年 10 个国家(乌克兰和 9 个 GII-2022 年排名前列的国家)的 GII 值以及由企业、政府、高等教育、私人非营利部门和外国来源资助的 R&D 支出。Pearson/Spearman 相关性分析考虑了时间滞后因素,以确定关系的性质和强度。就全球创新指数排名靠前的国家而言,企业(9 个国家中的 8 个)、高等教育(7 个国家中的 5 个)和外国来源(9 个国家中的 5 个)的研发资金与创新发展水平的关系被确认为直接关系,强度从中等到非常高不等,滞后期为 0-3 年。在乌克兰,直接关系是企业融资(非常高,滞后 3 年)和外国来源融资(高,滞后 1 年)。此外,还使用 STATA 18 对依赖关系进行了回归建模(针对面板数据的 Arellano-Bover/Blundell-Bond 动态模型和针对乌克兰的线性模型)。在 GII 排名靠前的国家中,由企业资助的研发支出比例增加 1%,GII 的得分就会增加 0.25%;高等教育增加 2.47%;政府、非营利部门和外国来源的得分会相应减少 0.89%、1.68% 和 0.81%。在乌克兰,政府增加 1%的研发资金会导致 GII 估计值减少 0.19%(滞后 2 年),而企业部门则会增加 0.16%(滞后 3 年)。反之亦然,在乌克兰,由高等教育资助的研发支出会导致 GII 分数下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural and comparative analysis of R&D funding impact on the level of innovation development: The empirical evidence of GII’s leaders and Ukraine
The study aims to determine the influence of the R&D expenditure structure funded by different sectors of stakeholders on the level of innovation development. The data sample involves values of GII and R&D expenditure funded by business, government, higher education, private non-profit sectors, and foreign sources for 10 countries – Ukraine and 9 top countries in GII-2022 for 2011–2020. Pearson/Spearman correlation analysis considers time lags to determine the nature and strength of relationships. For GII’s top countries, the relationship with innovation development level is confirmed as direct for funding R&D by business (in 8 from 9 countries), higher education (5 from 7), and foreign sources (5 from 9) with power from moderate to very high and 0-3-year lag. In Ukraine, the direct relationship is for financing by business (very high power and 3-year lag) and foreign sources (high power and 1-year lag). The regression modeling of dependences (Arellano-Bover/Blundell-Bond dynamic model for panel data and linear model for Ukraine) was also applied using STATA 18. In GII’s top countries, increasing the share of R&D expenditures financed by business by 1% contributes to increasing GII’s score by 0.25%, higher education – 2.47%; government, non-profit sector, and foreign sources – decreasing by 0.89%, 1.68% and 0.81% accordingly. In Ukraine, increasing financing R&D by the government by 1% leads to a similar decrease of GII estimate by 0.19% with a 2-year lag, and the business sector – an increase of 0.16% with a 3-year time lag. Vice versa, in Ukraine, R&D expenditures financed by higher education lead to GII’s score decreasing.
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来源期刊
Innovative Marketing
Innovative Marketing Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
2.50
自引率
9.10%
发文量
58
审稿时长
9 weeks
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