Corporate Social Responsibility and Profit Shifting
Iftekhar Hasan, Panagiotis I. Karavitis, Pantelis Kazakis, Woon Sau Leung
European Accounting Review,
forthcoming
Abstract
This paper examines the relation between corporate social responsibility (CSR) performance and tax–motivated income shifting. Using a profit–shifting measure estimated from multinational enterprises (MNEs) data, we find that parent firms with higher CSR scores shift significantly more profits to their low-tax foreign subsidiaries. Overall, our evidence suggests that MNEs engaging in CSR activities acquire legitimacy and moral capital that temper negative responses by stakeholders and thus have greater scope and chance to engage in unethical profit-shifting activities, consistent with the legitimacy theory.
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Training, Automation, and Wages: International Worker-level Evidence
Oliver Falck, Yuchen Guo, Christina Langer, Valentin Lindlacher, Simon Wiederhold
IWH Discussion Papers,
No. 27,
2024
Abstract
Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of automation risk based on tasks performed at work. Our analysis reveals substantial within-occupation variation in automation risk, overlooked by existing occupation-level measures. To assess whether job training mitigates automation risk, we exploit within-occupation and within-industry variation. Additionally, we employ entropy balancing to re-weight workers without job training based on a rich set of background characteristics, including tested numeracy skills as a proxy for unobserved ability. We find that job training reduces workers’ automation risk by 4.7 percentage points, equivalent to 10 percent of the average automation risk. The training-induced reduction in automation risk accounts for one-fifth of the wage returns to job training. Job training is effective in reducing automation risk and increasing wages across nearly all countries, underscoring the external validity of our findings. Women tend to benefit more from training than men, with the advantage becoming particularly pronounced at older ages.
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Training, Automation, and Wages: International Worker-level Evidence
Oliver Falck, Yuchen Guo, Christina Langer, Valentin Lindlacher, Simon Wiederhold
CESifo Working Papers,
No. 11533,
2024
Abstract
Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of automation risk based on tasks performed at work. Our analysis reveals substantial within-occupation variation in automation risk, overlooked by existing occupation-level measures. To assess whether job training mitigates automation risk, we exploit within-occupation and within-industry variation. Additionally, we employ entropy balancing to re-weight workers without job training based on a rich set of background characteristics, including tested numeracy skills as a proxy for unobserved ability. We find that job training reduces workers’ automation risk by 4.7 percentage points, equivalent to 10 percent of the average automation risk. The training-induced reduction in automation risk accounts for one-fifth of the wage returns to job training. Job training is effective in reducing automation risk and increasing wages across nearly all countries, underscoring the external validity of our findings. Women tend to benefit more from training than men, with the advantage becoming particularly pronounced at older ages.
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The Impact of Overconfident Customers on Supplier Firm Risks
Yiwei Fang, Iftekhar Hasan, Chih-Yung Lin, Jiong Sun
Journal of Economic Behavior and Organization,
May
2022
Abstract
Research has shown that firms with overconfident chief executive officers (CEOs) tend to overinvest and are exposed to high risks due to unrealistically optimistic estimates of their firms’ future performance. This study finds evidence that overconfident CEOs also affect suppliers’ risk taking. Specifically, serving overconfident customers can lead to high supplier risks, measured by stock volatility, idiosyncratic risk, and market risk. The effects are pronounced when customers aggressively invest in research and development (R&D). Our results are robust after addressing self-selection bias and using different CEO overconfidence measures. We also document some real effects of customer CEO overconfidence on suppliers.
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