Using data from Renrendai, one of the largest P2P lending platforms in China, we investigate how the amount of punctuation used in loan descriptions influences the funding probability, borrowing rate, and default. The empirical evidence shows that the amount of punctuation is negatively associated with the funding probability and borrowing rate. We propose that the usage of punctuation affects the readability of a loan description and reflects borrowers’ self-control and cognitive ability.
By means of a unique dataset of around half a million Chinese firms, we investigate the link between the use of a QR code-based mobile payment system and financial inclusion.
During 2013–2014, China launched a nation-wide real-time air quality monitoring and disclosure program, which was a watershed moment in the history of its environmental regulations. We present the first empirical analysis of this natural experiment by exploiting its staggered introduction across cities. The program substantially expanded public access to pollution information, and in turn, triggered a cascade...
Hayek (1945) predicts that where local information is important, the organization of production should be decentralized. This prediction is tested and supported in the context of the decentralization of Chinese state-owned enterprises (SOEs). SOEs are more likely to decentralize with increasing distance from the seat of the oversight government. This likelihood is especially strong when performance heterogeneity is greater and/or transportation costs are higher.
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.