We examine the conflict between environmental and governance issues arising from China’s automatic air pollutant monitoring system, introduced in 2012. Our findings suggest that polluting firms engage in downward earnings management to potentially minimize regulatory attention, with factors such as firm size, profitability, and market conditions influencing the extent of this behavior. This study highlights the unintended consequences of environmental policies.
The trajectory of an economy's development can often be better understood through the historical experiences of its populace. Long before the availability of comprehensive official data, Chinese family genealogies are a valuable resource for reconstructing economic evolution over time, as the following shows.
Electric vehicle (EV) battery costs have fallen over 90% in the last decade. This study examines how learning-by-doing (LBD) drives this decline and interacts with government policies such as consumer EV subsidies and local content requirements. Leveraging rich data on EV models and battery suppliers from 13 countries with largest EV sales that account for 95% of global EV sales, we develop a structural model of the EV industry that incorporates consumer choices and pricing strategies by EV producers and battery suppliers....
We develop a new method for estimating product-level emission intensities (PLEI) by combining firm-level emissions with firm-product output data. This methodological innovation produces highly granular emission measures that are essential for both academic research and climate policy design. Applying the method to Chinese manufacturing data, we uncover stark heterogeneity: the top 10% of emission-intensive products account for 75% of emissions but only 4% of exports. We incorporate our PLEI estimates into a general equilibrium trade model to assess the EU’s Carbon Border Adjustment Mechanism (CBAM). Our simulations demonstrate that, at the same carbon price, product-level CBAM achieves substantially greater emissions reductions than sector-level CBAM, while causing markedly less trade disruption. These results underscore the importance of product-level emission intensity data in designing targeted and cost-effective climate policies.
We investigate the relationship between high-skill returnees and innovation of Chinese publicly listed firms. To this aim, we construct a unique dataset of 2,499 firms over the period 2002–2016 by combining three different data sources (i.e. CNRDS, CSMAR, and LinkedIn). Our results show that different typologies of returnees (employees, technologists, and managers) with different experiences abroad (work versus study) may bring back different skills and impact differently on firm innovation.