研究生workshop由首都经济贸易大学国际经济管理学院主办。主要内容：一是研究生报告前沿或经典文献，二是研究生报告自己的研究或研究设想。论坛宗旨是：为学院师生搭建一个学术交流平台，营造浓厚学术氛围；通过对经典论著或前沿文献的研讨，拓宽研究生的理论视野，提升研究生的前沿方法运用能力，帮助研究生提高论文写作质量。

　　本期workshop

　　报告人：梁思源（2022级博士研究生）

　　导师：高静

　　报告论文：《The effects of corporate governance uncertainty on state-owned enterprises’ green innovation in China: Perspective from the participation of non-state-owned shareholders》Energy Economics，2022

　　作者：Zhen Yu, Yiran Shen, Shengjun Jiang

　　

　　报告摘要：

　　Using the percentage of ownership of the top ten non-state-owned shareholders (NSOSs) in state-owned enterprises (SOEs) as a form of corporate governance uncertainty (CGU), we examine the impacts of CGU on SOEs’green innovation performance, as measured mainly by the number of granted green patents. Analyzing data of Chinese listed SOEs from 2007 to 2017 and employing the instrumental variable approach to address the endogeneity issue, we find that CGU has a statistically significant and negative impact on SOEs’ green innovation performance. Examination of the moderating effects reveals that the negative relationship between CGU and SOEs’ green innovation performance is intensified if NSOSs appoint directors to the board. By contrast, higher levels of fiscal revenue (which indicate less government intervention in SOEs) and environmental regulations mitigate such a negative relationship. Further analyses on the heterogeneous effects demonstrate that the effects of CGU on SOEs’ green innovation performance are more pronounced among competitive industries, local SOEs,and SOEs with single-listed shares.

　　

　　报告人：崔同玮（2022级博士研究生）

　　导师：牛毅

　　报告论文：《Zipf 定律与 Gibrat 定律在中国城市规模分布中的适用性》，2018，《世界经济》 作者：魏守华、孙宁、姜悦

　　

　　报告摘要：

　　本文在阐释 Zipf 定律和 Gibrat 定律的理论机制基础上，运用中国646 个县级以上城市数据检验其在城市规模分布上的适用性。理论分析表明: Zipf定律服从 Pareto 分布，适合用 Simon 随机增长模型解释; Gibrat 定律服从对数正态分布，适合用 Gabaix 人口迁移模型解释; Gibrat 定律是 Zipf 定律的适用条件，近似Gibrat 定律下可用修正的 Zipf 定律———上尾 Pareto 分布或双 Pareto 对数正态分布描述。基于中国人口普查数据的研究表明: 646 个县级以上城市总体不满足 Gibrat定律，而表现为大城市和中小城市的两组对数正态分布; 2000 和2010 年在截点分别为规模排序第 375 和第 417 位的城市时，Zipf 定律的拟合效果最好，Pareto 指数都在1. 30 左右，表明城市规模分布具有大城市主导特征; 近似 Gibrat 定律下，双 Pareto对数正态分布能较好地拟合中国城市规模分布律。