Our research studies the incentive costs of China’s housing booms . We use the type and actual time stamps of 9.3 million credit card transactions by over 200,000 cardholders to detect non-work-related behavior during work hours. Employees respond to positive house price shocks with an immediate and permanent increase in their propensity to use work hours to attend to personal needs. Our estimate implies an elasticity of shirking propensity with respect to house price of 1.6. The effect is driven by homeowners, especially among owners with higher housing wealth. Further analyses point to negative productivity implications of the increased shirking.
This study traces the heterogeneous effects of government credit across different levels of the supply chain. I find that China Development Bank's industrial loans to state-owned enterprises crowd out private firms in the same industry but crowd in private firms in downstream industries. Moreover, China Development Bank's infrastructure loans crowd in private firms. It is important for policy makers to disentangle these opposing effects of government credit.
Firm-level decisions are largely made by corporate executives whose preferences and attitudes can be shaped by historical traits and what is happening inside their households. We investigate how the involvement of a founder’s wife through marital ownership influences the family firm’s level of risk-taking and explore the underlying mechanisms.
China’s spectacular growth over the 2000s has slowed since 2013. The driving force behind the country’s growth was investment, so the key to understanding the slowdown lies in understanding what sustained investment in the past. This column shows how a preferential credit policy promoting heavy industrialisation explains the trends and cycles in China’s macroeconomy over the past two decades. This policy was not without negative consequences, particularly in terms of the distortions it introduced for business finance. Going forward, China needs to focus on creating the right incentives for banks to make loans to small productive businesses.
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.