Using firm-customer matched data from 2005 to 2020 in China, we examined the spillover effects and mechanisms of green innovation (GI) among supply chain partners. Results show a positive association between customers' GI and their supply firms' GI, indicating spillover effects in the supply chain. Customers' GI increase from the 25th to the 75th percentile leads to a significant 19% increase in supply firms' GI. Certain conditions amplify the spillover effect, including customers with higher bargaining power, operating in less competitive industries, and supply firms making relationship-specific investments or experiencing greater customer stability. Geographic proximity and shared ownership further enhance the spillover effect. Information-based and competition-based channels drive the spillover effect, while customers with higher GI encourage genuine GI activities by supply firms. External environmental regulations, such as the Chinese Green Credit Policy and Environmental Protection Law, strengthen the spillover effect, supporting the Porter hypothesis. This research expands understanding of spillover effects in the supply chain and contributes to the literature on GI determinants.

We propose a sufficient statistics approach to measuring Ricardian comparative advantage in a quantitative trade model featuring cross-country differences in productivity, factor prices, market size, as well as monopolistic competition, endogenous markups, and firm heterogeneity. The model’s micro-foundations do not necessarily imply that the relevant data for the proposed sufficient statistics must include micro information, but its micro-structure is needed to understand how only macro information can be used instead. Applying the approach to Chinese microdata and cross-country macrodata, we show that imperfect competition with endogenous markups and firm heterogeneity have far-reaching implications for correctly measuring Ricardian comparative advantage.

Using data from Chinese A-share listed firms from 2015 to 2022, we employ a difference-in-differences 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 how localized carbon reduction policies affect corporate environmental productivity. Leveraging a quasi-experiment from China’s low-carbon pilot policy rollout across cities, we implement a difference-in-differences approach to estimate the causal impact of these interventions. Pilot policies significantly increased regulated polluting corporate environmental productivity by around 3 percentage points. The productivity gains persisted over time and were greater for financially constrained firms, firms facing less market competition and with lower capital intensity. Additional analysis reveals the pilots enhanced executive environmental awareness. Overall, our results demonstrate appropriately designed local regulations can improve environmental productivity.

To specify the peer effects that affect influencers’ sponsored content strategies, the current research addresses three questions: how influencers respond to peers, what mechanisms drive these effects, and the implications for social media platforms. By using a linear-in-means model and data from a leading Chinese social media platform, the authors address the issues of endogenous peer group formation, correlated unobservables, and simultaneity in decision-making and thereby offer evidence of strong peer effects on the quantity of sponsored content but not its quality. These effects are driven by two mechanisms: a social learning motive, such that following influencers emulate leading influencers, and a competition motive among following influencers within peer groups. No evidence of competition motive among leading influencers or defensive strategies by leading influencers arises. Moreover, peer effects increase influencers’ spending on in-feed advertising services, leading to greater platform revenues, without affecting the pricing of sponsored content. This dynamic may reduce influencers’ profitability, because their rising costs are not offset by higher prices. These findings emphasize the need for balanced strategies that prioritize both platform growth and influencer sustainability. By revealing how peer effects influence competition and revenue generation, this study provides valuable insights for optimizing content volume, quality, and financial outcomes for social media platforms and influencers.

This study investigates the role of financial development in shaping the relationship between FDI and firm innovation, based on Chinese firm-level dataset during 2008-2014. Our findings reveal that bank deregulation significantly enhances the positive effect of FDI on firm innovation. We also find that firms with greater financial constraints and those located in cities with lower levels of bank competition exhibit a more pronounced response. These results underscore the importance of considering financial market conditions and highlight the role of financial constraints and bank competition as crucial channels through which bank deregulation influences the effect of FDI on firm innovation.

We investigate the impact of financial geographic density on corporate financial asset holdings in emerging market. We proxy for financial geographic density by calculating the number of financial institutions around a firm within a certain radius based on the geographic distance between the firm and financial institutions. Using data on publicly listed A-share firms in China from 2011 to 2021, we find that financial geographic density has a positive impact on nonfinancial firms’ financial asset investments, especially for the firms located in regions with a larger number of banking depository financial institutions or facing greater market competition. An increase in the number of financial institutions surrounding firms increases corporate financial asset holdings by alleviating information asymmetry. Moreover, we document that Fintech has little impact on the relationship between financial geographic density and corporate financial asset holdings. As the rise of financial geographic density, firms hold more financial assets for precautionary motives, which contribute to corporate innovation.

We provide a novel explanation for the geographic dispersion of borrower-lender relationships based on information frictions rather than competition. Firms may strategically select distant banks to increase lenders’ information production costs, securing larger loans under information-insensitive contracts. Our model predicts that higher-quality firms prefer distant lenders for information-insensitive contracts, while lower-quality firms use local lenders with information-sensitive terms. Using transaction-level data from a major Chinese bank, we find strong empirical support: higher-rated firms exhibit greater propensity for distant borrowing; local loans show stronger negative correlation between amounts and interest rates; and distant loan pricing demonstrates weaker sensitivity to defaults.

The reform of the IPO registration system is a crucial step toward the maturity, improvement, and marketization of the securities market. In recent years, the trend of corporate financialization has become increasingly evident. Based on data from firms listed on the ChiNext Market and the Main Board, this paper constructs a Propensity Score Matching-Difference-in-Differences (PSM-DID) model and an RDD-DID model to examine the impact of IPO registration system reform on corporate financialization and analyze its underlying mechanisms from multiple perspectives. The estimation results of both models indicate that the IPO registration system reform has significantly increased firms’ financialization levels. Furthermore, a series of robustness checks confirm the reliability of the findings. The mechanism analysis reveals that the reform has promoted corporate financialization by lowering listing thresholds, alleviating financing constraints, and intensifying market competition. Meanwhile, its information disclosure mechanism has to some extent curbed financialization. Further heterogeneity analysis shows that the reform’s promoting effect is more pronounced in non-state-owned enterprises, firms with lower growth potential, and those with weaker corporate social responsibility (CSR) performance. This study enriches the literature on the policy impact of IPO registration system reform, provides a new perspective on how such reforms influence corporate financialization, and offers important implications for curbing excessive financialization in real-sector enterprises, deepening IPO registration system reform, and further improving capital markets.

Based on the sample data of Chinese listed companies, this paper finds that the increase in customer concentration significantly reduces the level of enterprise employment. The research results are robust to a series of tests. Further analysis shows that the increase of financing constraints, the increase of enterprise risk and the decrease of profitability are the mechanism of customer concentration affecting enterprise employment. In addition, the negative correlation between customer concentration and enterprise employment is stronger for enterprises with small size, fierce industry competition, and increasing economic policy uncertainty.