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...
By exploiting the exogenous variation in air pollution caused by China’s central heating policy, we find that air pollution reduces the accumulation of executive talent and high-quality employees. We also find that firms located in polluted areas have poorer performance, especially for firms with greater dependence on human capital.
China has become a world leader in the development of artificial intelligence (AI), a data-intensive technology with the potential to transform the global economy. We argue that the Chinese state’s collection of data and provision of data to commercial firms contribute to China’s AI leadership. We provide supportive evidence from China’s facial recognition AI sector and develop a macroeconomic model that illustrates how the Chinese state's surveillance interest aligns with promoting AI innovation, but potentially at the expense of privacy.
The introduction of the English listening test in the NCEE has exacerbated educational inequality between urban and rural areas in China, thereby affecting the college admission prospects and future income of rural students.
Exploiting the staggered rollout, since 2014, of judicial independence reform that removed local governments’ control over local courts’ financial and personnel decisions in China, we show that judicial independence can reduce local protectionism and foster cross-regional economic integration.