Carbon emission control is an urgent environmental issue that governments are paying increasing attention to. Improving carbon market transaction efficiency in the context of China’s power industry is important for green growth, low carbon transmission, and the realization of sustainable development goals. We used the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method in this empirical study to analyze the carbon market transaction efficiency of China’s power industry. The results showed that the Beijing carbon market has the highest transaction efficiency, followed by those of Guangdong Province and Shenzhen City. Hubei Province also has a relatively high carbon market transaction volume and turnover; its transaction efficiency ranks fourth. Shanghai, Tianjin, and Chongqing are the lowest-ranked regions, having carbon markets with relatively low trading volume and turnover. We, therefore, recommend that to develop a unified national carbon market, governmental agencies at all levels should equitably allocate carbon; strict regulations and penalties are also needed.

As the world transitions to an era of intelligent manufacturing, China has joined the race to usher in the Fourth Industrial Revolution (Industry 4.0) by transforming and upgrading conventional industries 2.0 and 3.0 to industry 4.0. As a result, many manufacturing workshops are being transformed to make room for machines rather than labour. While businesses may benefit from the conveniences of the intelligent era, they are faced with several challenges, particularly in the management of manufacturing companies. For example, with the intelligence of machines and equipment, companies must contend with the efficiency of their employees. This paper, therefore, primarily discusses current business management issues and makes management recommendations in response. At the same time, it demonstrates that in the age of digital transition and intelligent manufacturing, businesses should use innovative ideas to maximize business management efficiency.