Using big data of the locations of bank branches and borrowers in China, we document a non-trivial amount of distant lending. The inter-firm network helps banks collect soft information which facilitates the distant lending. We also use novel data of monthly internal loan rating changes to directly measure soft information and find that banks have better soft information and predict delinquent events more accurately for borrowers connected via the inter-firm network.
We probe the effects of the COVID-19 pandemic and the subsequent containment policies on business activities in China by exploiting big data on 1.5 billion sales invoices. The average drop in sales was between 23% and 35%, depending on firm size, for the 12-week period after the Wuhan lockdown.
The quality of governance depends on public sector worker productivity. We use micro data from China to document that judges are less productive on polluted days. We find that public sector productivity elasticities are larger than the published estimates of private sector productivity elasticities with respect to pollution.
We analyze the firm-level impacts of the US-China trade war since it is of great economic importance to understand how the unprecedented and dramatic increases in the import and export tariffs confronting Chinese firms affected the firm-level policy environment and firm operational outcomes. To contribute to this effort, we study how increases in US tariffs and Chinese retaliatory tariffs raised Chinese firms’ trade policy...
Using business registry data from China, we show that internal capital markets in business groups can propagate corporate shareholders' credit supply shocks to their subsidiaries. An average of 16.7% local bank credit growth where corporate shareholders are located would increase subsidiaries investment by 1% of their tangible fixed asset value, which accounts for 71% (7%) of the median (average) investment rate among these firms...