Widening income inequality in China has prompted President Xi Jinping to shift focus and to emphasize the fostering of balanced, high-quality development. But how exactly did income inequality evolve over China’s growth process and what was its impact on consumption and welfare? Using a long panel of income and consumption data from thousands of rural and urban households, we document that the increasing income inequality in China mainly reflects increasing permanent income risk, against which it became harder and harder to insure consumption, over the period of rapid income growth from 1989 to 2009. In other words, as household income grew, so did income fluctuations. These income fluctuations had an increasingly direct impact on consumption. For rural households, the welfare cost from increasing income risk and increasing exposure of consumption to income risk can almost cancel out the welfare gain from accelerated income growth over those twenty years.
Both entry of new firms and performance of incumbents were less adversely affected by the Covid-19 shock in Chinese counties with a greater presence of industrial clusters. To explain these results, we find evidence of the role of two specific attributes of clusters: reliance on informal hometown-based entrepreneur networks and spatial proximity to suppliers and customers.
China has experienced a rapid increase in FinTech penetration in the form of offline digital payments over the past decade. Using unique account-level data on consumption, investments, and FinTech usage from the Ant Group, we find that FinTech can lower investment barriers and help households move toward optimal risk-taking. Inferring individuals’ risk tolerance from their consumption volatility, we find that individuals who are more risk tolerant benefit more from FinTech advancement. Examining the enhancement...
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.
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...