We examine the drivers of rising wealth inequality in urban China since 1995. We highlight the intertwined nature of growth and equity during China’s transition toward a market-oriented economy.
Amid debates around state-led urbanization in developing countries, we analyze the causes and consequences of China’s skyscraper boom. We find that local governments often subsidize these projects through discounted land prices, motivated by political incentives. However, we find that such subsidies offer minimal long-term benefits, largely due to a mismatch with local conditions.
We documented pervasive spatial misallocations in the housing and land markets in China. We find larger cities with more competitive land markets and strict land supply restrictions have fewer subsidies in housing sales, and consequently a higher housing price compared to its frictionless benchmark. Removing frictions brings welfare gain because more individuals live in larger cities.
This article explores the intriguing connection between Chinese zodiac signs and parental investment in children’s development. Particularly, parents invest more in children born under the “lucky” sign of the dragon, potentially impacting their cognitive and noncognitive skills alike.
China is on a path to capital account liberalization. If the renminbi is to become an international reserve currency (e.g. Prasad, 2016), as it has started to and one day will be, China must have an open capital account. But once the capital account is open, the economy will be exposed to gyrations of the global financial cycle (Rey, 2014). This column argues that international credit supply shocks have powerful effects on real and financial variables of the receiving countries, but not all economies are affected similarly, and those that have lower loan-to-value ratios (LTVs) and limits on foreign currency borrowing (FXLs) are less vulnerable. As China lowers controls on capital flows (e.g., Benigno et al., 2016) it should consider tightening domestic macro-prudential policy regulations (e.g., Cesa-Bianchi and Rebucci (2017) to avoid excessive volatility.