This article aims to provide an in-depth and comprehensive analysis of PRC Securities Law 2020 which overhauls China’s securities regulatory framework to construct more efficient and transparent capital markets with enhanced investor protection and market integrity. The law constrains regulators’ administrative powers in deciding the outcome of IPOs as well as streamline the securities offering procedure. This article pays attention to key reform initiatives proposed by PRC Securities Law 2020, such as the registration-based IPO system, the enhanced investor protection and compensation regime, the cross-border supervision, and the harsher punishments for securities frauds. It also discusses the latest enforcement cases relating to high-profile financial frauds like the Luckin Coffee scandal which resulted in Luckin Coffee being delisted from NASDAQ in 2020. The analysis in the article is accompanied by relevant US securities law in the same area to offer a comparative angle, which is of interest to practitioners, academics and policymakers in major financial centres.

Using novel data from a stock forum, we analyze return extrapolation in the cross-section. Our findings indicate that extrapolators overreact to the returns but underreact to the fundamentals. The post-earnings-announcement drift (PEAD) is more pronounced among firms with a high firm-level degree-of-extrapolation (DOX). Additionally, investors ask fewer questions about high-DOX firms’ fundamental information on official online interactive platforms. Extrapolation reduces the informativeness of stocks due to investors’ inattention to fundamentals. Furthermore, extrapolators’ overreaction to returns and underreaction to fundamentals increase stock price crash risks. These findings support explanations of extrapolation based on limited asymmetric attention.

Using a large sample of over 5,000 start-ups across various industries and 524 media outlets in China between 2000 and 2016, we examine the effects of media coverage of start-ups on VC investment decisions and performance. To the best of our knowledge, for the first time in the finance literature, we have discovered that media coverage of start-ups significantly affects VC investment decisions and exit performance. Specifically, such coverage, especially positive coverage, significantly increases the probability and amount of VC investments in start-ups. It also significantly improves the exit performance of VC investments. The significant effects of media coverage of start-ups on VC investments are driven by market-oriented instead of state-controlled media. We further find that VC investments in a focal start-up are significantly influenced by the average media coverage of other start-ups in the same industry or the same city. Our results are robust to a battery of robustness tests. Our research contributes to the behavioral finance literature by showing that an increasingly prominent type of institutional investors, venture capitalists, just like individual investors, are also subject to limited attention. Our research also extends the research by You, Zhang and Zhang (2018) by revealing the heterogeneous effects of market-oriented and state-controlled media on VC investments. Last but not the least, we are the first to discover that peer start-ups’ media coverage matters for VC investments in the focal firms, thereby pushing the frontier of research on the roles of media in finance.

We show that attention constraints of decision makers function as barriers to financial inclusion. Using administrative data on retail loan screening processes, we find that loan officers exert less effort reviewing applicants from unattractive social or economic backgrounds and reject them more frequently than justified by credit quality. More importantly, when quasi-random workload variations tighten officer attention constraints, unattractive applicants receive even worse treatment—review-time halves and approval rates drop by approximately 40%—while attractive applicants are not affected. Our findings suggest that financial technologies that reduce information-processing costs may promote more balanced financial access.

This paper studies how centralizing environmental administration affected air pollution in China. China launched a vertical administration reform in 2016 to empower upper-level Environmental Protection Bureaus to administer lower-level bureaus vertically through personnel control. Exploiting a stacked difference-in-differences strategy and a regression discontinuity design, we find that the verticalization reform significantly reduced air pollution. The effect was stronger in places where air pollution is less likely to be affected by spillovers from other provinces or where local governments paid less attention to environmental protection before the reform. Additionally, we find that the reform significantly increased the intensity of inspection by local agencies and environmental investments by heavily polluting firms.

Over the past decade, the rapidly digitizing economy in China has attracted much attention in both academic and policy circles. Most existing studies focus on the positive impact digitalization has had on China's inclusive growth. Few of them have attempted to measure the widening digital divide and its potential impact. Using the 2017 and 2019 China Household Finance Survey (CHFS) data, this paper: (i) provides the first evidence that the digital divide has a significant negative impact on household consumption. For every unit increase in the digital divide, the level of household consumption will drop by about 28 percent; (ii) finds the negative impact stems from an integrated channel of rising unemployment, intensified liquidity constraints, and declining financial literacy; and (iii) further discloses that the digital divide has differential impacts on household consumption by category, while hinders consumption diversification. The results are robust to correcting for potential endogeneity due to sample selection, household heterogeneity, and reverse causality. Our findings shed new light on some little-documented evidence and have profound implications for related socio-economic policies that fully utilize technology to drive efficiency and inclusivity in the digital economy.

本文发现，股票回报与公司的气候变化暴露水平之间存在可预测的关系。投资者并没有充分利用公司的气候变化暴露信息；那些暴露水平更高的公司，未来的回报更低。基于此构建的多空组合，能产生0.5%的因子调整后回报。本文排除了对冲气候变化风险、碳风险定价以及对ESG风险的担心等一系列替代解释。本文发现，公众的气候变化意识在近期的提高，削弱了这种可预测关系的幅度。

More than one in five listed firms in China initiate dividend payments during the year right before their initial public offerings (IPOs). This tendency, which seems to contradict the purpose of raising capital, constitutes the pre-IPO dividend puzzle. This paper examines this puzzle using manually collected Chinese data from 2006 to 2019. We find that firms initiating pre-IPO dividends tend to have lower IPO underpricing than non-initiating firms. We also find that the effect of pre-IPO dividend initiation on IPO underpricing is more pronounced for firms with stronger pre-IPO growth and profitability. Additional analyses indicate that initiating firms have better pre- and post-IPO operating performance and post-IPO stock performance. Moreover, initiating firms pay more dividends and have significantly higher investor attention after the IPOs. Collectively, the pre-IPO dividend initiation is not a short-term strategic behavior of low-quality firms but is intended to send positive signals and improve investors’ stock valuation.

Investors have limited attention, especially when getting busy. They also possess a capability of fast thinking that requires little, if any, attention, although fast thinking leads to biased judgement and inferior outcome. From a Chinese online peer-to-peer lending market, we document a substantial amount of instant loan bids (i.e., those confirmed within only a few seconds) which help identify fast thinking. We find that lending decisions made within busy working hours with more attention constraint have significantly higher likelihood of being instant and significantly lower investment performance, suggesting that investors are prone to fast thinking when their attention becomes limited.

Using proprietary loan-screening data, we document that loan o!cers exhibit statistical discrimination due to how they allocate attention. Discrimination happens at the early stage of information acquisition: officers exert less effort reviewing ex-ante unfavorable applicants and thus end up rejecting them at a higher rate than justified by credit quality. In other words, ex-ante unfavorable applicants are more likely to be rejected without careful review. Further, when loan o!cers are distracted by heavier workloads, the degree of discrimination increases. Relative to the lowest workload decile, the approval rate for ex-ante unfavorable applicants drops from 14.7% to 8.8% when o!cers are in the top workload decile. Overall, the results show that attention constraints magnify discrimination. Our findings suggest that reducing decision-maker attention constraint can help reduce statistical discrimination.