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Scholarly migration within Mexico: analyzing internal migration among researchers using Scopus longitudinal bibliometric data

机译:墨西哥内的学术迁移:使用Scopus纵向伯格计数数据分析研究人员之间的内部迁移

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The migration of scholars is a major driver of innovation and of diffusion of knowledge. Although large-scale bibliometric data have been used to measure international migration of scholars, our understanding of internal migration among researchers is very limited. This is partly due to a lack of data aggregated at a suitable sub-national level. In this study, we analyze internal migration in Mexico based on over 1.1 million authorship records from the Scopus database. We trace the movements of scholars between Mexican states, and provide key demographic measures of internal migration for the 1996–2018 period. From a methodological perspective, we develop a new framework for enhancing data quality, inferring states from affiliations, and detecting moves from modal states for the purposes of studying internal migration among researchers. Substantively, we combine demographic and network science techniques to improve our understanding of internal migration patterns within country boundaries. The migration patterns between states in Mexico appear to be heterogeneous in size and direction across regions. However, while many scholars remain in their regions, there seems to be a preference for Mexico City and the surrounding states as migration destinations. We observed that over the past two decades, there has been a general decreasing trend in the crude migration intensity. However, the migration network has become more dense and more diverse, and has included greater exchanges between states along the Gulf and the Pacific Coast. Our analysis, which is mostly empirical in nature, lays the foundations for testing and developing theories that can rely on the analytical framework developed by migration scholars, and the richness of appropriately processed bibliometric data.
机译:学者的迁移是创新和知识传播的主要司机。虽然大规模的彩牙计数已经用于衡量学者的国际迁移,但我们对研究人员之间的内部迁移的理解非常有限。这部分是由于缺乏在合适的亚国家层面汇总的数据。在这项研究中,我们根据Scopus数据库的超过110万个作者记录分析墨西哥的内部迁移。我们追溯墨西哥国家之间学者的动作,并为1996 - 2018年期间提供了内部移民的关键人口措施。从方法的角度来看,我们开发了一种新的框架,用于增强数据质量,推断渠道的状态,以及从模态状态检测到研究人员内部迁移的目的。实质性地,我们结合了人口和网络科学技术,以改善我们对国家边界内的内部迁移模式的理解。墨西哥各州之间的迁移模式似乎在区域的大小和方向上是异质的。然而,虽然许多学者留在他们的地区,但似乎有偏好墨西哥城和周围国家作为移民目的地。我们观察到,在过去的二十年中,原油迁移强度一般趋势一般下降。然而,迁移网络变得更加密集,更多样化,并且在海湾和太平洋海岸之间存在更大的国家之间的交流。我们的分析主要是实际上的实际上,为测试和开发理论的基础奠定了可以依赖于移民学者开发的分析框架的理论,以及适当加工的圣经测量数据的丰富性。

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