While a wide range of managerial practices suggest that coopetition plays a crucial role in advancing firm innovation, how this effect occurs and the boundary conditions remain unclear. The literature revealing the specific mechanisms by which inter-firm coopetition affects firm innovation, including mediating mechanisms and boundary conditions, is still insufficient. By integrating the resource dependence theory and the capability view, this study explores how firm agility links inter-firm coopetition and open innovation within industrial clusters. In addition, based on conceptualizing coopetition as a concept containing three elements (cooperation, constructive conflict, and destructive conflict), this study examines government intervention in industrial clusters as a boundary factor and explores how it affects the relationship between inter-firm coopetition and firm agility. Based on the analysis of a sample of 181 industrial cluster firms in China, the results of this study show that firm agility mediates the relationship between cooperation, constructive conflict, and open innovation, respectively, and that government intervention diminishes both the facilitating effect of constructive conflict on firm agility and the negative effect of destructive conflict on firm agility. The findings contribute to the understanding of how and when coopetition affects open innovation and provide a theoretical basis for firms to utilize coopetition to innovate successfully.

When examining corporate governance in China, it is crucial to recognize the unique socio-economic structures and legal systems at play. The mechanisms of corporate governance theorized in the West might not necessarily have the same impact in China. In particular, given China’s distinct feature of the domestic economy and its socio-political structure, the results of introducing a hostile takeover system might not align with common anticipations that scholars and policymakers in China and elsewhere broadly share. In greater detail, this paper highlights the significant market imperfections in the Chinese economy, stemming from information asymmetry, imperfect product markets, and capital-market inefficiency. These market imperfections suggest that an active hostile takeover regime might not function effectively in China, as its disciplinary mechanism operates successfully in other advanced countries. Additionally, this paper underscores that due to China’s distinctive features—including its state-owned corporate landscape, the dominance of controlling shareholders in private corporations’ ownership structures, and its unique brand of socialism—the introduction of an active takeover regime could produce unintended consequences in the Chinese economy. Overall, challenging the prevailing perspective, I posit that within the Chinese hostile takeover framework, corporate governance is not as influential as one might assume.

We examine whether and how mandatory corporate social responsibility (CSR) disclosures affect corporate tax avoidance. Using a CSR disclosure mandate in China that requires a subset of firms to disclose their CSR activities as an exogenous shock to CSR disclosures, our difference-in-differences analyses show that firms affected by the disclosure mandate engage in less tax avoidance relative to control firms. Additional analyses indicate that increased public scrutiny following the disclosure mandate is the likely channel through which mandatory CSR disclosures constrain tax avoidance. Cross-sectional analyses suggest that the effect of the disclosure mandate varies with institutional environments. Overall, our results indicate that the CSR disclosure mandate constrains corporate tax avoidance, which is consistent with mandatory CSR disclosures nudging firms toward more socially desirable behavior.

We examine the risk-return trade-off in market anomalies within the A-share market, showing that even decaying anomalies may proxy for latent risk factors. To balance forecast bias and variance, we integrate the 1/N and mean-variance frameworks, minimizing out-of-sample forecast error. Treating anomalies as tradable assets, we construct optimized long-short portfolios with strong performance: an average annualized Sharpe ratio of 1.56 and a certainty-equivalent return of 29.4% for a mean-variance investor. These premiums persist post-publication and are largely driven by liquidity risk exposures. Our results remain robust to market frictions, including short-sale constraints and transaction costs. We conclude that even decaying market anomalies may reflect priced risk premia rather than mere mispricing. This research provides practical guidance for academics and investors in return predictability and asset allocation, especially in the unique context of the Chinese A-share market.

The literature has extensively explored the relationship between trade and envi-ronment, with most studies focusing on how trade affects the environment. However, our research takes a different approach by examining how air pollution affects firms’ exports. We use Chinese export and pollution data from 2000 to 2007 at the firm and county levels. By using fine particulate matter (PM2.5) concentrations as a proxy for air pollution and employing thermal inversion as an instrumental variable, we ffnd that a 1% increase in PM2.5 leads to a 0.89% reduction in firms’ exports. We also observe this negative effect of air pollution on entry and exit (i.e., extensive margins). Our mechanism analysis identiffes two channels through which air pollution affects exports. First, air pollution decreases exports by reducing firm productivity. Second, air pollution induces stringent environmental regulations, which reduces exports as firms need to increase abatement costs or reduce production to meet the environment standards.

This study explores how the application of democratic rule in land reform decision-making determines villagers’ political trust towards different levels of the government in China. Based on analyses of a two-period household survey data we find that in China’s most recent Collective Forest Tenure Reform, the use of democratic rule improves villagers’ trust for town and county cadres, whereas the impact on trust towards village cadres is only significant for the democracy involving all the villagers or households in a village. This pattern of trust is partly explained by our findings that the democratic process helped decrease the unresolved inter-village forestland disputes whilst there seems no such impact on the within-village land disputes. Heterogeneity analyses show that democratic decision-making has a more pronounced effect in improving trust for villagers with lower income, and those without affiliation with the Chinese Communist Party (CCP) or to the village committee.

Forming diversified global supply chains (GSC) is an important approach to improving economic resilience. When firms expand their oversea suppliers for such purposes, information friction is a major challenge, and internetization may help firms cope with it by more efficient communication of information. We introduce a dynamic discrete choice model for firms’ searching for new supplier sources estimated with structural methods, and construct counterfactual studies to analyze the internetization effects on Chinese firms’ GSC diversification. Our quantitative studies reveal that internetization relieves information friction, which reduces firms’ searching costs by 13.4%, and thus significantly diversifies firms’ GSC. It also raises firms’ productivity by 0.5% through efficient communication of information. Reductions in searching costs are revealed as the main channel of such effects of internetization, while the productivity channel is less significant. Moreover, the internetization effects on diversifying GSC are persistent over time, and are biased towards high-productivity and importing firms.

The discussion on the innovative effects of intellectual property pledge financing is a mainstream trend. In this context, this study has improved the existing research from several aspects, such as broadening the dimensions of innovation, adding dynamic analysis, refining multidimensional mediation mechanisms, and employing unique samples. Ultimately, we come to the following conclusions: (1) Intellectual property pledge financing suppresses enterprise innovation, especially innovation quality, but this pattern will be broken by raising the threshold of innovation conditions. The reason is that strict innovation conditions can lead to a poor innovation foundation for enterprises, which are rarely affected by the fluctuation of funds obtained from intellectual property pledge financing. (2) Intellectual property pledge financing has a non-linear effect on firm innovation, characterized by an increase followed by a decrease, suggesting that intellectual property pledge financing in current China can only provide a temporary stimulus for firm innovation. (3) The relationship between intellectual property pledge financing and enterprise innovation is strongly moderated by the ownership, type, and size of the enterprise, with the inhibitory effect of intellectual property pledge financing on enterprise innovation occurring mainly in state-owned enterprises, high-tech enterprises, and small enterprises, while its positive effects are more pronounced in private enterprises, non-high-tech enterprises, and medium-sized enterprises. (4) Financing constraints, internal incentives, external supervision, and signaling mechanisms are indeed key pathways through which intellectual property pledge financing affects firm innovation, especially when we analyse these mechanisms using dynamic models.

Between high-quality and high-efficiency green innovation, which can truly reduce stock price crash risk? We use data from Chinese listed companies from 2010 to 2022 to study the impact mechanism and effect of radical and incremental green innovation stock price crash risk. Results show that radical green innovation can significantly reduce stock price crash risk, and this effect is more evident than the incremental one. Radical green innovation can improve information efficiency and enhance risk management, thus reducing stock price crash risk. Besides, among companies held by trading institutions and with low analyst coverage, the inhibitory effect is more evident.

This study investigates the link between market arbitrage risk and liquidity risk pricing in a conditional asset pricing framework. We estimate comparative models both at the portfolio and firm level in the Chinese A- and B-shares to test behavioral hypotheses with respect to foreign ownership restrictions and market segmentation. Results show that conditional liquidity premium and risk betas exhibit pronounced asymmetry across share classes which could be attributed to differentiated levels of market mispricing. Specifically, stocks with a greater degree of information asymmetry and retail ownership are more sensitive to liquidity risks when the market arbitrage risk increase. Further policy impact analysis shows that China’s market liberalization efforts, contingent upon its recent stock connect programs, conditionally reduce the price of liquidity risk for connected stocks.