Relying on a large dataset on cash withdrawals of over 165 million bank cards from China, we find a higher ratio of cash withdrawals late at night is associated with criminal activity.
This study investigates the pricing of financial risks associated with biodiversity conservation, with a particular focus on the Green Shield Action, a major regulatory initiative launched in China in 2017 to enforce biodiversity preservation rules in national nature reserves. While the initiative improved biodiversity, it also significantly increased bond yields for municipalities that are home to these reserves, effectively raising the general cost of public capital. These effects were primarily driven by heightened default risks plausibly caused by transition costs from shutting down illegal economic activities within the reserves and additional public spending on biodiversity conservation, even when local governments raise the same amount of money. Furthermore, the study reveals that the biological benefits of these conservation policies were not adequately recognized or impounded into the prices by the capital markets.
In Chinese culture, digit 8 (4) is taken as lucky (unlucky). We find that the numerological superstition has a profound impact across China’s stock, bond and foreign exchange markets, affecting asset prices in both the primary and secondary markets. The superstition effect, i.e., the probability of asset price ending with a lucky (unlucky) digit far exceeds (falls short of) what would be expected by chance, is everywhere.
We explore the impact of wage offers on job applications, testing implications of the directed search model and trying to distinguish it from random search. We use a field experiment conducted on an online Chinese job board, with real jobs for which we randomly varied the wage offers across three ranges. We find that higher wage offers raise application rates overall, which is consistent with directed search...
We examine the impact of China’s Rural E-Commerce Comprehensive Demonstration (RECD) project on the urban-rural income gap. Using county-level data from 2006 to 2022 and a time-varying difference-in-differences design, we find that participation in the RECD project led to a significant reduction in urban-rural income disparity. The effects were especially pronounced in less-developed regions, poverty-designated counties, and areas with weaker digital infrastructure and gains were disproportionately concentrated among rural households. These “biased” digital dividends contrast with market-driven e-commerce development, such as Taobao Villages, which tended to exacerbate inequality.