This paper investigates how digital technology adoption (DTA) impacts sustainable innovation performance (SIP) in Chinese high-tech firms, with some focus on firms in the Greater Bay Area. The research categorizes DTA into enhancing, adapting, and substituting actions, looking at how these can be combined to optimize SIP. Data from 94 high-tech manufacturing firms—including those in the GBA—is analyzed using fuzzy-set qualitative comparative analysis to reveal patterns that lead to high SIP. Enhancing DTA consistently plays a critical role in these configurations. This study expands on previous research by taking a holistic view of DTA, offering insights on how firms in innovation hubs like the GBA can enhance their sustainability efforts through strategic technology adoption. The findings are particularly relevant to firms in the GBA, a region known for its technological innovation and development.
This study delves into the systematic risk in China’s A-share market, with a focus on overnight and intraday returns. The findings have significant implications for investors operating in key financial hubs within China, including the GBA. By analyzing data from 2006 to 2021, the authors use Fama-Macbeth and panel regressions to explore how market beta interacts with returns. The research shows that overnight risk premiums are negative, while intraday premiums are negligible, affecting the correlation between full-day returns and market risk. The insights provided are crucial for investors in fast-developing regions, where financial markets are rapidly evolving.
This paper helps explain the unique risk dynamics in China’s markets, making it valuable for financial professionals.
This paper evaluates the impact of China’s multi-target policy, focused on energy-saving and SO2 reduction, on the green productivity of fossil fuel power plants. The research includes data from power plants across China, including those in the Greater Bay Area (GBA), which is a significant region for both economic and environmental progress. The study uses a non-radial meta-frontier Luenberger productivity index to break down productivity by technological and factor-based perspectives. Results indicate that a 1% increase in energy-saving targets boosts green productivity by 0.50%, while SO2 reduction targets slightly decrease it. The GBA’s industrial plants, known for their contribution to China’s economic growth, are particularly impacted by these policies. The findings offer insights on how policies can drive environmental sustainability in industrial areas like the GBA, which is at the forefront of China’s push towards greener energy practices.
