With the implementation of China’s top-down CO2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental unit in China, counties could better capture the regional heterogeneity than provinces and prefecture-level city, and county-level CO2 emissions could be used for the development of strategic policies tailored to local conditions. However, most of the previous accounts of CO2 emissions in China have only focused on the national, provincial, or city levels, owing to limited methods and smaller-scale data. In this study, a particle swarm optimization-back propagation (PSO-BP) algorithm was employed to unify the scale of DMSP/OLS and NPP/VIIRS satellite imagery and estimate the CO2 emissions in 2,735 Chinese counties during 1997–2017. Moreover, as vegetation has a significant ability to sequester and reduce CO2 emissions, we calculated the county-level carbon sequestration value of terrestrial vegetation. The results presented here can contribute to existing data gaps and enable the development of strategies to reduce CO2 emissions in China.
This study examines the impact of ownership structure on Chinese banks' risk-taking behaviours. We classify the Chinese commercial banks into three categories based on the types of controlling shareholder, and find that banks controlled by the government (GCBs) tend to take more risk than those controlled by state-owned enterprises (SOECBs) or private investors (PCBs). This is attributed to the severe political intervention and weak incentives to follow prudent bank management practices for GCBs. We also find that the results are more pronounced among banks with concentrated ownership presumably because the large controlling power helps to enhance the monitoring of the management and promotes prudent operating procedures. Our findings have important implications for the ongoing reform in the Chinese banking sector.
We use the search volume index (SVI) of the stock ticker provided by Google Trends to capture the active attention that retail investors pay to stocks. Based on the analysis of S&P 500 stocks from 2004 to 2009, we show that the majority of the variation in SVI cannot be explained by passive attention measures, including Google News coverage and advertising expenditure. We find that retail investor attention, reflected by the level and change in SVI, significantly enlarges the shareholder base and improves stock liquidity. The results are robust to the control of endogeneity issues.
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