Using the unique institutional feature of government regulations in China, we provide robust evidence that firms with a larger employment size have significantly better access to bond credit.
The development of finance driven by Chinese local governments exacerbates the problem of resource misallocation, whereas market-driven finance significantly improves allocative efficiency. This highlights the policy implication that modern finance in China should prioritize the efficient utilization of resources rather than mere expansion in scale.
Our recent study provides evidence that Chinese mainland insiders tend to evade see-through surveillance by round-tripping via the Stock Connect program.
Chinese municipal bonds are considerably overpriced in the primary market, leading regulators to set a lower bound on the issuance yield spread. This paper investigates the underlying reasons for this overpricing and evaluates the effects of implementing restrictions on yield spreads. Our findings indicate that underwriters may inflate prices to receive undisclosed benefits from local governments, such as local treasury cash deposits. We further show that the lower bounds severely impede price discovery in the primary municipal bond market. Even bonds not restricted by the lower limit are priced at the reference spread, exacerbating overpricing of riskier bonds. Local governments exploit these fixed prices by increasing the bond issuance amount and extending bond maturity. Our findings suggest that regulatory interference in pricing can have unintended consequences for pricing efficiency and that attempts to rectify mispricing may result in even more severe mispricing.
We present the first comprehensive evidence of how app usage affects academic performance and early career outcomes. App usage is contagious: a one standard deviation (around 3.5 hours per day) increase in roommates’ app usage raises an individual’s own app usage by 5.8%, with substantial heterogeneity across students. A one standard deviation increase in app usage reduces GPAs by 36.2% of a within-cohort-major standard deviation and lowers wages by 2.3%. The effect of roommates’ app usage is over half the size of an individual’s own usage effect. High-frequency GPS data reveal that high app usage crowds out time in study halls and increases late arrivals at and absences from lectures.