地理位置接近和技术相似性

IF 5 2区 经济学 Q1 ECONOMICS Structural Change and Economic Dynamics Pub Date : 2024-02-22 DOI:10.1016/j.strueco.2024.02.007
Eduardo A. Haddad , Inácio F. Araújo , Fernando S. Perobelli
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引用次数: 0

摘要

我们从时空角度评估了地理邻近性对技术趋同的影响,并确定了与各国技术相似性相关的邻近性维度。我们比较了从 2021 年版经合组织国家间投入产出中提取的 66 个不同国家的投入产出系数时间序列,以验证邻近国家是否更有可能分享类似技术。我们的研究结果表明,地理上的技术溢出效应非常重要,因为距离较近的经济体往往比距离较远的经济体更相似。这一点在样本中的欧洲经济体中尤为明显,表明体制上的接近也对技术趋同很重要。随着时间的推移,距离较近的经济体在结构上变得更加相似;然而,这一趋势在 2008-9 年金融危机之后似乎有所放缓。在信息有限的环境下,根据已知的使用区域和全球平均结构的做法,对数据库整合过程中如何填补信息空白进行猜测,可能会给我们的结果增加一层不确定性。
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Geographical proximity and technological similarity

From a time-space perspective, we assess the effects of geographical proximity on technological convergence over time identifying proximity dimensions associated with countries’ technological similarities. We compare a time series of input-output coefficients for 66 different countries extracted from the 2021 edition of OECD Inter-Country Input-Output to verify whether nearby countries are more likely to share similar technologies. Our results reveal that geographical technological spillovers are important since closer economies tend to be more similar than distant ones. This is particularly evident for the European economies in the sample, suggesting that institutional proximity also matters for technological convergence. Over time, closer economies are becoming structurally more similar; however, this trend seems to have slowed down after the 2008–9 financial crisis. Conjectures on how informational gaps are filled in the consolidation of the databases – encountered in an environment of limited information – based on known practices of using regional and global average structures may add a layer of uncertainty to our results.

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来源期刊
CiteScore
9.60
自引率
4.90%
发文量
159
期刊介绍: Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.
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