This paper examines whether China’s switch back and forth from fixed to floating exchange rates in 2005 and 2008 changed the contribution to stock price discovery by foreign and domestic investors. During that time, mainland investors could only trade the RMB-denominated A-shares in the domestic Shanghai and Shenzhen markets, while the dual-listed HKD-denominated H-shares were available only to overseas investors. Using intraday data on overlapping trading hours, we find that the switch from a fixed rate to managed floating in July 2005 increased the H-shares’ contribution to price discovery; while the exchange rate regime reversal in July 2008 allowed the domestic stocks to regain their dominance in information shares. These results imply that, in a market subject to restrictions on capital flows, a flexible exchange rate regime increases the propensity of investors to trade foreign-issued stocks to speculate on the RMB exchange rate, which raises overseas investors’ contribution to price discovery.

Using four datasets of individuals’ digital payment and mutual fund investment records from a dominating fintech platform, we observe a robust U-shaped relation between individuals’ consumption and their financial wealth shocks. Contrary to the prediction of the wealth effect, individuals increase their consumption shortly after experiencing large positive and negative wealth shocks. The unexpected increase in consumption following negative wealth shocks is particularly pronounced among consumption categories with a “hedonic” nature, such as entertainment-related items. We show that this effect, termed “financial retail therapy,” is consistent with a dynamic model of Prospect Theory and evidence from a controlled laboratory experiment.

Macro-prudential policy plays a crucial role in stabilizing the financial system and influencing banks' risk preferences and willingness to take risks. This study examines the influence of macro-prudential policies on bank risk-taking using unbalanced panel data from 126 commercial banks in China between 2010 and 2021. The difference-in-differences model is employed to analyze the data. The empirical findings demonstrate that implementing macro-prudential policies in China effectively enhances bank risk prevention measures. In other words, macro-prudential policy implementation facilitates the digital transformation of banks and subsequently reduces risk-taking behaviors. Moreover, the heterogeneity test reveals that macro-prudential policies have a more significant impact on the risk-taking behavior of commercial banks with higher capital adequacy ratios compared to those with lower ratios. Additionally, commercial banks with strong interbank dependence exhibit more pronounced effects on their risk profiles when subjected to macroprudential policies with stricter capital supervision requirements. Therefore, this study proposes policy recommendations for strengthening bank capital supervision through differentiated approaches, serving as a valuable reference for the regulatory authorities.

This research analyses the ramifications of the COVID-19 pandemic on China's economy, examining the divergent epidemic prevention policies used by local governments. Empirical evidence highlights that the emergence of COVID-19 cases correlates with a 1.13% reduction in quarterly GDP growth. However, when a city's secretary maintains an informal ties with the provincial secretary, GDP growth remains resilient. Analyzing micro-level data, we observe that city secretaries with informal ties tend to enact flexible anti-contagion measures. This flexibility stems from a decreased likelihood of reprimand for virus transmission. Such shields exclusively manifests when incumbent provincial secretaries share informal ties with central leadership. This underscores the interplay of political networks in shaping localized economic responses.

Recent research indicates that the relationship between state ownership, firm size, and technological innovation outcomes in Chinese firms is a complex and intriguing topic. However, we propose a new perspective based on institutional complexity and examine the combined effects of these two factors. By considering the interplay between the economic efficiency rationale and the institutional logic associated with state ownership and firm size within the context of Chinese firms, we argue that the effects of state ownership and firm size can counterbalance each other. In order to test our hypotheses, we analyze a sample of 385 publicly listed firms spanning the period from 2015 to 2019. The findings reveal that while state ownership and firm size individually exert a negative influence on both exploratory and exploitative innovation in Chinese firms, their interaction actually yields a positive impact. This study contributes to our comprehension of how state ownership influences exploratory and exploitative innovation in the presence of competing institutional logics, as well as the contingent effect of firm size.

Amongst major economies, China has been taking a lead in the development of central bank digital currency (CBDC), which has generated widespread interest and impact around the globe. China’s CBDC, commonly known as e-CNY, is designed with several distinctive features, enabling it to compare favorably to other payment methods such as credit cards, mobile payment, unbacked cryptocurrency, and stablecoins. A variety of social, economic, political, and regulatory reasons can be identified to help explain China’s active pursuit of CBDC. However, the prospect of success will be affected by many factors and may vary between the domestic and international markets. This paper argues that the adoption of eCNY will likely succeed domestically, but may face more challenges in the international markets. The development of e-CNY seems to have created a catfish effect on other major economies in the race for CBDC. It is not fully clear, however, that the CBDC race will be better explained by the first-mover or the late-mover advantage theory. The CBDC project will have both public and private law implications, and several legal issues warrant particular attention in relation to the legal status of CBCD, the role and responsibility of the central bank, legal remedies for losses suffered by CBDC users from cybersecurity issues and operational problems, and the issue of data privacy and protection.

In recent years, numerous Chinese peer-to-peer (P2P) lending platforms have collapsed, prompting us to investigate the regulation and monitoring of the fintech industry. Using a unique dataset of P2P lending platforms in China, we examine the effect of government monitoring on platform collapses. Exploiting platforms’ locational proximity to regulatory offices as a proxy for government monitoring, we show that greater geographical distance results in a higher likelihood of platform collapse. Specifically, for every 10% increase in the driving distance from the platform to the local regulatory office, the likelihood of collapse increases by 10.2%. To establish causality, we conduct a differencein-differencesanalysis that exploits two exogenous shocks: government office relocation and subway station openings. We further explore two underlying channels: the information channel through which greater regulatory distance reduces the likelihood of regulators’ onsite visits and the resource constraint channel, through which greater regulatory distance significantly increases the local regulatory office’s monitoring costs. Overall, this study highlights the importance of onsite regulatory monitoring to ensure the viability of online lending platforms.

We investigate the impacts of anticipated government environmental audits (GEAs) on firm productivity. We use a 2009 policy set forth by China’s National Audit Office that required GEAs of local governments as an exogenous event to examine the effect of the policy announcement on firms’ total factor productivity (TFP). Our difference-in-differences tests indicate that TFP in heavily polluting firms improved more than other firms’ TFP after the announcement of the policy. We also find that to raise TFP, firms engage in green invention patents or receive government environmental subsidies. In addition, our cross-sectional analysis suggests that firms in regions where governments have strong environmental enforcement or that are in the eastern regions of China increase TFP more.

This study examines whether and how minimum wage hikes affect workers’ strikes in the context of China. We show that minimum wage significantly increases strikes at the city-level, and this effect is mainly motivated by demands for unpaid wages and severance pay. Mechanism analysis reveals that workers’ strikes are caused by inevitable involuntary unemployment arising from wage hikes. In addition, the increase in workers’ strike activities is more significant in tertiary industries, which require a larger share of low-wage workers and in regions with a higher degree of digital economy and innovation. Our findings provide clear policy implications for policymakers concerned with minimum wage and unemployment.

This paper decomposes news-implied linkages into two types: leader-follower links (LF) and peer links (PE), based on people's reading and information-processing habits. We explore how the structure of information impacts processing costs and subsequently leads to market outcomes by examining momentum spillover effects via these distinct linkage types. Our findings indicate that the information structure of leader-follower links is more readily comprehensible to investors than peer linkages. We provide empirical evidence of this by demonstrating faster attention spillover from leader to follower than among peer firms, using Baidu search data. Furthermore, we document that due to the lower information processing cost, information transmits through the leader-follower linkages more quickly, leading to a weaker momentum spillover effect compared to the more complex and less easily perceivable peer links.