People

从去年开始，在意识到传统的金融市场发展会遇到一定瓶颈的情况下，香港便提出了发展Web3.0的战略。Web3.0与Web2.0的主要区别之一在于用户规模：目前Web3.0的用户数量大约为1-2亿，远小于Web2. 0的用户体量。 要实现Web3.0作为第三代互联网的全面普及，用户规模需起码需要达到10亿体量。但是要从1-2亿增长到10亿，中间还有很大的一个Gap。要解决这个Gap，一是传统投资人能直接投Web3.0的资产；二是让Web3.0上的投资人可以投资传统资产；三是推动Web2.0与Web3.0的结合。

This paper studies how globalization affects the corporate tax policies of U.S. manufacturing firms. Using U.S.-granting China Permanent Normal Trade Relations as a quasi-natural experiment, we find a significant increase in tax reduction activities for firms facing higher exposure to Chinese imports. The effect is more pronounced for firms with higher managerial slack. We also find that the effect is stronger for firms in less diversified products market and faster changing industries. We also show that U.S. firms facing higher Chinese import competition are more likely to engage in other tax-motivated activities: acquisition of subsidiaries in low-tax regions and suspected transfer pricing. Furthermore, we explore the 2017 tax cut and the recent U.S.-China trade dispute and find that firms engage less in tax reduction activities after the 2017 tax cut and after the tariff increase for Chinese imports.

Does a bank’s dependence on different external funding sources shape its voluntary disclosure of information? We evaluate whether economic shocks that increase the supply of bank deposits alter the cost–benefit calculations of bank managers concerning voluntary information disclosure. We measure information disclosure using 10-K filings, 8-K filings, and earnings guidance. As for the funding shock, we use unanticipated technological innovations that triggered shale development and booms in bank deposits. Further analyses suggest that greater exposure to shale development reduced information disclosure by relaxing the incentives for managers to disclose information to attract funds from external capital markets.

Take the recent study by Chen Lin and Mingzhu Tai from the HKU Business School, conducted with collaborators from the University of California, Berkeley and the Chinese University of Hong Kong. Their paper addressed a fundamental worry for almost everyone during the pandemic: Money. Specifically, they examined how people in the U.S. saved money in response to COVID-19.

The online trading platform Alibaba provides financial technology (FinTech) credit for millions of micro, small, and medium-sized enterprises (MSMEs). Using a novel data set of daily sales and an internal credit score threshold that governs the allocation of credit, we apply a fuzzy regression discontinuity design (RDD) to explore the causal effect of credit access on firm volatility. We find that credit access significantly reduces firm sales volatility and that the effect is stronger for firms with fewer alternative sources of financing. We further look at firm exit probability and find that firms with access to FinTech credit are less likely to go bankrupt or exit the business in the future. Additional channel tests reveal that firms with FinTech credit invest more in advertising and product/sector diversification, particularly during business downturns, which serves as effective mechanisms through which credit access reduces firm volatility. Overall, our findings contribute to a better understanding of the role of FinTech credit in MSMEs.

This paper studies how minimum wage policies affect capital investment using the industrial census of manufacturing firms in China, where minimum wage policies vary across counties. Exploiting minimum wage policy discontinuities at county borders, we find that minimum wages increase capital investment. The investment response to minimum wages is stronger for firms that are labor-intensive, that have more room for technological improvement, and that cannot sufficiently pass on labor costs to consumers. A natural experiment based on county jurisdictional changes further assures the causal relationship.

We study the impact of an epidemic disease on modern financial development by exploiting geographic variations in the precolonial survival conditions of the TseTse fly, which transmits an epidemic disease that is harmful to humans and fatal to livestock in Africa. Using newly georeferenced data, we discover that firms and households in regions historically more exposed to the epidemic disease have less access to external financing today. Exploring the channels, we find that people in historically infested regions are less likely to trust others and financial institutions, to share credit information and to learn and adopt new financial technologies.

Why did banks experience massive deposit inflows during the pandemic? We discover that deposit interest rates at bank branches in counties with higher COVID-19 infection rates fell by more than rates at branches—even branches of the same bank—in counties with lower infection rates. Credit drawdowns, national policies, such as the Payment Protection Program, and a flight-to-safety do not account for these cross-branch changes in deposit rates. Evidence suggests that higher local COVID-19 infection rates are associated with households’ greater anxiety about future job and income losses, anxiety that induces households to reduce spending and increase deposits.

The Zhongguancun (ZGC) Forum was successfully held from September 24 to 28 in Beijing, China. Professor Chen Lin, Associate Dean in Research and Knowledge Exchange and Chair of Finance, was invited as a keynote speaker for the parallel forum – Financial Technology Forum.