Recently, the Chinese Government has strengthened the enforcement of bankruptcy laws to protect creditors’ rights. This study shed light on the effect of creditor protection on asset-debt maturity mismatch by employing a quasi-natural experiment in China. The results show that creditor protection mitigates maturity mismatch, and the effect is more pronounced among financially constrained firms. Results remain robust after the dynamic effects test, placebo test, propensity score matching approach, entropy balancing method, and controlling for COVID-19 shocks. Mechanism tests show that creditor protection decreases the cost of debt and reduces over-investment. The effect of creditor protection is pronounced in private companies, financially independent companies, and companies with secured loans. Creditor rights can alleviate maturity mismatch in firms with medium ownership concentration and managerial ownership levels. Economic consequences studies suggest that creditor protection reduces corporate default risk. This study reveals the mechanism and effect of creditor protection on asset-debt maturity mismatch in emerging markets, providing recommendations to policymakers for assessing and improving bankruptcy law regimes.

“How does a firm’s bankruptcy affect its regional environment?” is an open empirical question that has received little attention in the literature. We hypothesize that because enterprises provide funds to protect their regional environment, their default risk negatively impacts that environment. We analyze the impact of corporate default risk on environmental deterioration in the international setting to answer this question. Using a firm-level corporate default risk quarterly data from 2013q1 to 2020q4, we find that corporate default risk is positively associated with CO2 emissions and decomposed components. These findings are reliable in low-income and highly uncertain countries but weak in countries having more market competition. We also find that the negative impact of corporate default risk on the environment is more robust in countries with more population density and fewer forest area thresholds. Finally, using the instrumental variable approach, we provide preliminary evidence that firm-level political risk (for US and Canadian firms only) increases corporate default risk, leading to a degrading environment. Our findings are robust to alternative measurements of a firm’s default risk and environmental deterioration. Our research will help environmental authorities to consider corporate default risk as a determinant when formulating environmental-related strategies.

We examine the impact of bankruptcy court establishment (BCE) on corporate acquisition activities using hand-collected data of city-level BCE in China from 2008 to 2020. The results show that BCE promotes corporate acquisition activities largely due to mitigated information asymmetry and decreased deal inefficiency. Our results highlight the important role of judiciary reform in corporate acquisition decisions in emerging markets.

We demonstrate that personal political preferences of corporate managers influence cor- porate policies. Specifically, Republican managers who are likely to have conservative personal ideologies adopt and maintain more conservative corporate policies. Those firms have lower levels of corporate debt, lower capital and research and development (R&D) expenditures, less risky investments, but higher profitability. Using the 9/11 terrorist attacks and Sept. 2008 Lehman Brothers bankruptcy as natural experiments, we demonstrate that investment policies of Republican managers became more conservative following these ex- ogenous uncertainty-increasing events. Furthermore, around chief executive officer (CEO) turnovers, including CEO deaths, firm leverage policy becomes more conservative when managerial conservatism increases.

Using data from Chinese A-share listed firms from 2015 to 2022, we employ a difference-indifferences model to empirically examine the impact of bankruptcy regimes, marked by the establishment of bankruptcy courts, on firms’ total factor productivity (TFP). The results show a significant decline in TFP among firms in regions following the establishment of bankruptcy courts. This finding remains valid after a series of robustness tests. Mechanism tests reveal that establishing bankruptcy courts increases firms’ risk aversion incentives by endowing creditors with excessive rights. Consequently, firms tend to reduce liabilities, curtail R&D investment, and accumulate liquid assets as coping measures, ultimately contributing to a decline in TFP. Furthermore, this effect is more pronounced for firms with high financial risk. However, the improvement of the market mechanism can alleviate the negative impact of bankruptcy courts excessively strengthening creditor protection. Specifically, when firms are located in regions with weak government intervention and strong financial development, as well as in market environments with low uncertainty and strong competition, this negative impact can be mitigated. These findings provide fresh insights into the dual nature of creditor protection and offer valuable references for governments to improve the bankruptcy legal system.

This study examines a sample of Chinese listed companies from 2009 to 2021 and finds that Environmental, Social, and Governance (ESG) performance significantly reduces bankruptcy risk. Robustness tests support the bankruptcy risk mitigation effect of ESG performance. Mechanism analysis shows that ESG performance reduces bankruptcy risk by decreasing systematic risk and alleviating financing constraints. Further analysis indicates that the performance of the three dimensions of ESG, namely Environment (E), Social (S), and Governance (G), contributes to the reduction of bankruptcy risk.

How much value has been lost in the Chinese bankruptcy system due to excessive liquidation of companies whose going concern value is greater than the liquidation value? I compile new judiciary bankruptcy auction data covering all bankruptcy asset sales from 2017 to 2022 in China. I estimate the valuation of the asset for both the final buyer and creditor through the revealed preference method using an auction model. On average, excessive liquidation results in a 13.5% welfare loss. However, solely considering the liquidation process, an 8% welfare gain is derived from selling the asset without transferring it to the creditors. Firms that are (1) larger in total asset size, (2) have less information disclosure, (3) have less access to the financial market, and (4) possess a higher fraction of intangible assets are more vulnerable to such welfare loss. Overall, this paper suggests that policies promoting bankruptcy reorganization by introducing distressed investors who target larger bankruptcy firms suffering more from information asymmetry will significantly enhance welfare in the Chinese bankruptcy market.

Using data from Chinese A-share listed firms from 2015 to 2022, a difference-in-differences model is employed to empirically examine the impact of bankruptcy regimes, marked by the establishment of the bankruptcy court, on firms’ total factor productivity (TFP). The results show a significant decline in TFP among firms in regions following the establishment of the bankruptcy court. This result remains valid after a series of robustness tests. Mechanism tests reveal that bankruptcy court heightens firms’ risk aversion by endowing excessive rights to creditors. Consequently, firms tend to downwardly adjust capital structure, curtail innovation investment, and accumulate liquid assets as coping measures, ultimately contributing to a decline in TFP. However, well-developed market mechanisms can alleviate the negative impact of bankruptcy court excessively protecting creditors. Specifically, when firms are located in regions with weak government intervention and strong financial development, as well as in market environments with low uncertainty and strong competition, this negative impact can be mitigated. Moreover, we find that under bankruptcy court operations, while a series of risk reduction measures taken by firms triggers a decline in TFP, it mitigates the risk of financial distress. These findings provide fresh insights into the dual nature of creditor protection and offer valuable references for governments to improve the bankruptcy legal system.

Whilst there is increasing research attention on predicting financial distress, the existing literature is subject to two specific limitations. The first is that a firm can experience a financial distress event (e.g., loan default, bankruptcy) more than once, yet most studies that model corporate financial distress prediction treat financial distress as occurring only once. This approach leads to an inefficient use of data with all subsequent events being ignored and subsequently a decrease in statistical power. Second, to account for the lack of independence between observations of repeated event data, the extant research utilising hazard analysis either has a separate analysis for successive distressed events or relies upon robust standard errors. In addition to a much smaller sample, a separate analysis yields the models that can be used to predict the survival of a distressed firm rather than the survival of a firm generally. The method of robust standard errors, while innocuous to one-time event data, ignores the possible downward bias in coefficient estimates for repeated event data. To address these two limitations, we treat financial distress as repeated events and apply more advanced methods (generalised estimating equations, random effects, fixed effects, and a hybrid approach) to account for the lack of independence between observations in discrete time hazard analysis. These different approaches are applied to a sample of listed companies in China over the 2007‒2021 period. We find that variables that are not statistically significant in models based on one-time events data become statistically significant in the models based on repeated events data, and that coefficient estimates are larger in their magnitude with more advanced methods than with the method of robust standard errors. We also find that among the advanced methods, a hybrid approach achieves substantially better out-of-sample prediction, particularly over a long-term horizon than other approaches. Our results remain robust in tests of robustness.

Serfling (2016) examines how the increase in firing costs impacts the capital structure decisions of firms and hypothesizes that higher firing costs of labor lead to a decline in a firm’s financial leverage use by directly increasing its distress costs and indirectly lifting its operating leverage. Stricter labor protection laws passed in China in 2007 provide an opportunity to revisit the issue within a controlled environment. Employees of SOEs already enjoy the benefits that the new labor law imparts. So, SOEs are exposed to lower firing costs than their non-SOE counterparts. Additionally, the exposure to bankruptcy is more limited for SOEs than non-SOEs. We hypothesize and show that non-SOE firms’ financial leverage decreases more than SOEs, confirming the leverage-lowering effect of labor protection laws. Further, the decline in financial leverage is more pronounced for a labor-intensive firm or one that encounters steep competition.