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So viel kostet FremdenfeindlichkeitReint GroppSüddeutsche Zeitung, 1. September 2026
Get access Abstract This study examines how changes in state corporate tax rates affect corporate social responsibility (CSR) performance among U.S. firms. Using staggered state-level tax reforms and a difference-in-differences (DiD) design, we identify an asymmetric causal effect: tax cuts significantly enhance CSR performance by reducing concerns, whereas tax increases only marginally weaken CSR strengths. Drawing primarily on signaling theory, complemented by slack resource and stakeholder perspectives, we argue that tax cuts expand financial slack, enabling firms to use CSR as a positive signal of financial strength, long-term orientation, and responsible use of tax savings. In contrast, firms avoid cutting CSR significantly after tax hikes to prevent negative signaling. In support of the theories, our heterogeneity analyses show that these effects are stronger among financially constrained firms and are concentrated in material CSR issues that are financially relevant to investors. A domain-level analysis further reveals that tax increases reduce environmental strengths, while tax cuts lower concerns related to employee relations, diversity, and environmental practices. These findings highlight how tax policy shapes CSR through its impact on financial flexibility and stakeholder expectation, offering implications for corporate strategy and public policy.
This paper examines how political networks influence insider trading in China. Using biographical data to construct chairman–politician social networks, we find that firms with stronger political networks engage in significantly less insider trading. The effect is stronger for non-state-owned enterprises (non-SOEs) and for long-standing or high-ranking connections. The muted trading persists during periods when insiders possess valuable private information, including prior to M&A announcements and major policy events. The evidence suggests that personal political networks function as informal governance mechanisms that discipline managerial opportunism when formal governance through state ownership is absent.
Exploiting the executive compensation reform for state-owned enterprises (SOEs) in China that enforce strict pay restrictions, this study examines whether and how pay restrictions affect firms’ labor investment inefficiency. We find that SOEs experience a decrease in abnormal labor investment following the reform relative to non-SOEs, particularly in over-investment in labor. Our results show that the reform is associated with lower labor investment inefficiency through strengthened internal governance and mitigated internal social comparison. In addition, pay restrictions specifically curb firms’ tendency to over-hire. Further analysis reveals that imposing pay restrictions on executives enhances labor quality and also promotes employee well-being. This study offers novel policy insights by showing how pay restrictions to SOE executives can reduce vertical agency costs and investment inefficiency and enhance workforce quality and well-being in weak institutional environments.
Drawing on detailed career and biographical data of Chinese politicians, this study builds a dynamic social network for all political elites in China and examines the selection process of provincial-level politicians. Using regression and tree-based machine learning techniques and leveraging individuals’ global centrality within political networks, we unveil the relative importance of economic performance, political networks, and career trajectory in determining the selection of provincial leaders. Our findings highlight the critical role of network embeddedness.
We investigate the relationship between county-level social capital in the U.S. and asymmetric earnings timeliness (accounting conservatism). We measure social capital by the strength of civic norms and the density of social networks in a community. We find that firms headquartered in regions with higher social capital have earnings that reflect bad news more quickly than good news. Two potential mechanisms driving this connection are evident in our findings. First, the positive link between social capital and asymmetric earnings timeliness is more pronounced in firms with weaker external oversight, suggesting that social capital compensates for weaknesses in these mechanisms by discouraging managers from delaying the recognition of bad news. Second, we illustrate that firms in high social capital regions are more likely to recruit senior executives with higher asymmetric earnings timeliness coefficients. This result implies a preference for managers who adopt more conservative accounting practices. We find similar results using an international sample of firms from 21 countries. Our findings offer new insights into how local social norms influence corporate financial reporting.
This article shows that when a compensation peer firm experiences a significant failure in its say-on-pay (SOP) voting, the focal firm’s stock price is adversely affected, resulting in reduced CEO pay in the subsequent period. This pay-reduction effect is amplified when the board is more powerful, when proxy advisors express concerns about CEO pay, and when the compensation consultant lacks quality. Directors who react to the price drop and cut the CEO’s pay receive higher votes in future director elections, implying a market feedback effect for directors of the focal firm triggered by their peers’ SOP voting failure.
In this paper, we use granular trading data from Taiwan between 2012 and 2016 to examine how local social capital influences retail investor behavior during corporate social irresponsibility (CSIR) events. Therefore, we are responding to longstanding calls in the international finance literature to explore investor behavior in non-US markets with distinct institutional and cultural characteristics. We find that investors residing in cities with higher social capital are less likely to purchase underpriced stocks following the announcements of negative events despite the potential for positive abnormal returns. This norm-driven restraint reflects a form of socially responsible investing motivated by community-based values rather than economic rationality. By documenting this behavior in an East Asian market, we extend the external validity of social norm theories developed in Western settings and contribute to a more nuanced understanding of how localized social preferences can influence asset pricing and capital allocation in a global context.
Using lenders who become members of the Task Force on Climate-Related Financial Disclosures (TCFD) as an exogenous shock, we examine whether and how lenders’ commitment to transparent climate-related disclosures affects borrowers’ environmental performance. We find that borrowers of TCFD-member lenders, relative to control firms, significantly improve their environmental performance after the TCFD launch. Lenders’ disclosure commitments influence borrowers through credit rationing and monitoring. Specifically, polluting borrowers face higher borrowing costs, reduced access to credit, and greater incorporation of environmental action covenants in loan agreements. Additionally, polluting borrowers of TCFD-member lenders experience heightened financial constraints. Finally, borrowers of TCFD-member lenders are more likely to adopt the TCFD framework for climate-related disclosure after the TCFD establishment. Together, these findings illuminate the role of lenders in driving corporate environmental performance improvement through their commitment to transparent climate-related disclosures.
Using a market-indicator-based approach, this paper empirically examines whether the stability of the US and EU financial systems is affected by the digital finance revolution driven by BigTechs, FinTechs, and crypto-assets. These three sectors display different downside volatility profiles, with financial intermediaries being particularly sensitive to shocks from the crypto ecosystem only under extremely severe downturns, which are prevented in regulated equity markets. In that vein, we provide evidence that the Markets in Crypto Assets Regulation reduced financial systemic risk in EU. Overall, our empirical analysis shows that markets perceive the performance and riskiness of tech-driven companies and assets in differentiated ways, and that the transmission of shocks from digital finance ecosystems operates uniquely under varying conditions of systemic stress. Finally, we also document asymmetric spillover effects between advanced and emerging economies, with shock transmission from the US and EU to emerging markets being systematically stronger than in the reverse direction.
This study examines the institutional demand for mispriced stocks with incongruent expectations implied by the book-to-market (BM) ratio and financial strength. Institutional trading (or institutional demand) is calculated by both changes in institutional ownership (percentage of shares held) and the number of institutional investors from the previous to the current quarter. Market mispricing and expectation errors in value/glamour stocks can be identified by analysing firms’ recent financial strength (measured by FSCORE). Firms are sorted into value stocks (top 30%), middle stocks (between 30% and 70%) and glamour stocks (bottom 30%) by distribution of BM ratios at the end of the previous fiscal year. Firms in the sample are then double sorted by FSCORE and BM: in each BM portfolio, firms are further classified into high-, mid- and low-FSCORE groups. Consistent with the argument of expectation errors in value/glamour stocks (Piotroski and So, 2012), institutional investors buy value stocks with strong fundamentals (underpriced) and sell glamour stocks with weak fundamentals (overpriced). Independent institutions are more likely to take advantage of the mispricing in value/glamour firms than passive institutions. Institutional trading on expectation errors could reduce the abnormal returns to mispriced stocks. Institutional trading patterns on mispriced value/glamour stocks are also documented in global markets. Our research provides new evidence that the institutional investors do exploit the BM anomalies if the mispricing can be identified by both the BM and the recent financial strength. Our study differs from Caglayan, Celiker and Sonaer (2018) as we emphasise that financial institutions, in addition to relying on only the BM values, process information from financial statements to infer firms’ financial strength. This study is also the first to document that institutional demand on mispricing could attenuate the BM anomaly.