Understanding CSR Champions: A Machine Learning Approach
Alona Bilokha, Mingying Cheng, Mengchuan Fu, Iftekhar Hasan
Annals of Operations Research,
forthcoming
Abstract
In this paper, we study champions of corporate social responsibility (CSR) performance among the U.S. publicly traded firms and their common characteristics by utilizing machine learning algorithms to identify predictors of firms’ CSR activity. We contribute to the CSR and leadership determinants literature by introducing the first comprehensive framework for analyzing the factors associated with corporate engagement with socially responsible behaviors by grouping all relevant predictors into four broad categories: corporate governance, managerial incentives, leadership, and firm characteristics. We find that strong corporate governance characteristics, as manifested in board member heterogeneity and managerial incentives, are the top predictors of CSR performance. Our results suggest policy implications for providing incentives and fostering characteristics conducive to firms “doing good.”
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Media Response
Media Response June 2025 Steffen Müller: Weniger neue Insolvenzen angemeldet in: Handelsblatt.com, 13.06.2025 Steffen Müller: Weniger neue Insolvenzen angemeldet in:…
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Economic recovery in Germany – but structural problems and US trade policy weigh on the economy If the US does not escalate its trade conflicts further, production in Germany…
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Macroeconomic Reports
Macroeconomic Reports Local and global: IWH regularly provides current economic data - be it about the state of the East German economy, the macroeconomic development in Germany…
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Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Annika Backes (Supervisors: Simon…
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The Impact of Debtor Distress and Unemployment on Support for Extremist and Populist Political Parties in the Czech Republic 2001–2017
Jakub Grossmann, Štěpán Jurajda, Lucie Zapletalová
IDEA CERGE EI Studie,
No. 11,
2023
Abstract
In this study, we analyze the relationships between rising rates of distraint orders and electoral support for populist political parties and extreme left and right wing political parties at the local level. (This publication is written in czech language.)
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Are Rural Firms Left Behind? Firm Location and Perceived Job Attractiveness of High-skilled Workers
Matthias Brachert, Sabrina Jeworrek
Cambridge Journal of Regions, Economy and Society,
No. 1,
2024
Abstract
We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects the perceived job attractiveness for university students and graduates and, therewith, contributes to the rural–urban divide. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure and connectivity) and vary job design and contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive, regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons of urban origin and singles. In contrast, for individuals with partners and kids this preference is less pronounced. High-skilled individuals who originate from rural areas have no specific regional preference at all.
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Transformation tables for administrative borders in Germany
Transformation tables for administrative borders in Germany The state has the ability to change the original spatial structure of its administrative regions. The stated goal of…
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Data
Transformation tables for administrative borders in Germany – data In order to demonstrate what kind of information the available tables contain and how they are structured, the…
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