Understanding CSR Champions: A Machine Learning Approach
Alona Bilokha, Mingying Cheng, Mengchuan Fu, Iftekhar Hasan
Annals of Operations Research,
Vol. 347 (April),
2025
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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Governance & Structure
Governance & Structure The IWH Center for Business and Productivity Dynamism (IWH-CBPD), led by Center Chief Javier Miranda , hosts the CompNet Network and its related activities.…
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Funding Institutions
Funding Institutions At present, CompNet is funded by a group of prominent institutions, including the European Bank for Reconstruction and Development (EBRD), the European…
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Centre for Evidence-based Policy Advice
Centre for Evidence-based Policy Advice (IWH-CEP) The Centre for Evidence-based Policy Advice (IWH-CEP) of the IWH was founded in 2014. It is a platform that bundles and…
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Corporate Loan Spreads and Economic Activity
Anthony Saunders, Alessandro Spina, Sascha Steffen, Daniel Streitz
Review of Financial Studies,
Vol. 38 (2),
2025
Abstract
We use secondary corporate loan-market prices to construct a novel loan-market-based credit spread. This measure has considerable predictive power for economic activity across macroeconomic outcomes in both the U.S. and Europe and captures unique information not contained in public market credit spreads. Loan-market borrowers are compositionally different and particularly sensitive to supply-side frictions as well as financial frictions that emanate from their own balance sheets. This evidence highlights the joint role of financial intermediary and borrower balance-sheet frictions in understanding macroeconomic developments and enriches our understanding of which type of financial frictions matter for the economy.
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Research Clusters
Three Research Clusters Each IWH research group is assigned to a topic-oriented research cluster. The clusters are not separate organisational units, but rather bundle the…
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Organisation of Research
Tasks of the IWH Guided by its mission statement , the IWH places the understanding of the determinants of long term growth processes at the centre of the research agenda. Long…
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Overview
About the project Project Information: ProdTool – NPB 2.0: Micro-Data Analysis Tool 2.0 for comparative productivity studies at National Productivity Boards (Project acronym:…
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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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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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