Despite reforms to the hukou household registration system and the very large rural-urban migration experienced in China, rural households are still experiencing a risk of losing their land allocation if they migrate. We argue that this risk leads to an inefficient rental market with low rents and is an impediment to migration, with consequent over-employment in agriculture and low productivity.
China's non-financial borrowing continued to expand though the government vowed to take deleveraging among its top five policy priorities in 2016. Current member of the People's Bank of China's Monetary Policy Committee, Prof. Yiping Huang of Peking University, and his co-author Yuyan Tan of Peking University argue that resolving Zombie firms is a key for China’s deleveraging. The rising share of Zombies firms in China after 2010 reduces the financial efficiency and brings in financial market risks. Dealing with the Zombie firms is now critical for sustaining China’s long-run economic growth and managing its financial stability.
We document that since December 2015 the People’s Bank of China (PBC) has followed a “two-pillar” exchange rate policy that aims to achieve both stability and flexibility. Based on a no-arbitrage model and options price data we estimate the credibility of the policy as well as its impact on the RMB/USD exchange rate. The model was able to correctly forecast the end of the two-pillar policy in May 2017.
To what extent do political relations between countries affect their economic exchange? Using evidence of China’s relations with other major powers during the period of 1990 to 2013, Yingxin Du, Jiandong Ju, Carlos D. Ramirez, and Xi Yao point out the time-aggregation bias in the existing empirical research and provide insights on the relationship between political shocks and trade.
We examine whether firms over-report international trade to evade capital controls for foreign exchange arbitrage, by specifically testing whether the aggregate bilateral trade data gap between trading partners is positively (negatively) correlated with the exchange rate spread when the spread is positive (negative). At the disaggregated level, we also employ Benford’s law to detect trade data manipulations...