经济学院讲师吴梦涛作为通讯作者发表于Structural Change and Economic Dynamics的论文Endogenous Growth and Human Capital Accumulation in a Data Economy，于2024年11月30日入选经济与商学领域ESI高被引论文。高被引论文（Highly Cited Paper）是在过去十年内发表，并在同一年受到引用的次数是对应学术领域中最优秀的1%之列。Structural Change and Economic Dynamics为ABS2期刊，是北京工商大学认定的经济与商科ESI目录汇中的A3类权威期刊。

内容摘要

We build an endogenous growth model featuring a new mode of human capital accumulation in a data economy. Data are generated as the byproducts of economic activities and then used by consumers for human capital accumulation apart from education. Although we find similar growth patterns compared with those in the related literature, economic growth is further accelerated by the new use of data factor. Quantitative analyses suggest that although the accumulation of human capital is promoted by the increasing importance of data, this promotion is not unlimited since

data may over-absorb resources and crowd out education. In the transition dynamics, we see that consumers suffer temporary welfare loss. However, as data become a key factor in human capital accumulation, welfare ultimately increases. Our paper provides a first view of the effect of the data factor in the process of human capital accumulation.

作者简介

吴梦涛，博士毕业于清华大学经济管理学院，2023年入职北京工商大学。现为北京工商大学经济学院2023级本科生辅导员，负责学风、心理专项工作。

原文链接

https://doi.org/10.1016/j.strueco.2023.12.015