Fraught with tension? A machine-learning approach to termination traits of public corporations in English and German local governments
研究了英国和德国地方政府终止公有企业的原因，发现宏观系统矛盾比所有权问题更能解释为何不重新内部化服务。
Corporatization has gained scholarly attention in recent years, yet little is known regarding why many corporations are eventually terminated, and what happens to their form and functions thereafter. Reinternalizing services is one option local governments may pursue. This paper focuses on the impact of tensions (systemic contradictions) on this final resolution reached: Do local governments choose or refuse reinternalization? Conducting machine learning, I predict termination outcomes based on an original dataset of 244 ceased English and German companies (2010–2020). The results show that macrosystemic tensions are more relevant for resourcing decisions and reinternalization is less likely to be caused by formal ownership issues.