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Marine economy has become an essential economic growth driver in China. The importance of promoting the low-carbon development of marine economy has become increasingly prominent. This paper was based on the broad research field of blue carbon, and innovatively proposed the concept of blue carbon industry in the direction of the integration of marine carbon sinks and industries. The blue carbon industry is designed to develop an industrial model oriented to the carbon sinks enhancement and a low-carbon approach to development. It aims to promote the integration of blue carbon sink with marine economy, ecological restoration, clean energy and other fields. This paper also defined the categories of blue carbon industry and proposed the development path of blue carbon industry from four directions, helping to create a new highlight for the high-quality development of the marine industry.

Abstract All provinces of China respond to the central government, predict future carbon dioxide emissions, and formulate action plans detailing how the province intends to fulfill its target of carbon emission peaking before 2030. Based on the bottom‐up energy consumption prediction and top‐down goal verification, this paper constructs a set of regional carbon dioxide emission prediction methods. Compared to the traditional bottom‐up prediction method, this method could simplify the parameters while improving the prediction accuracy. This model is used to predict and analyze the process of carbon dioxide emission peaking in Zhejiang. The results show that the mean absolute percentage error of the retrospective prediction value is only 1.56%. Zhejiang will reach carbon dioxide emission peaking around 2029–2030, and the peak value will be 569.7 million tons. Different factors have different effects on the process of carbon dioxide emission peaking. There is a strong correlation between the peak time of carbon dioxide emission and the production time of major energy‐consuming projects in Zhejiang. Meanwhile, if the 16 nuclear reactors are not put into operation, Zhejiang will not be able to achieve the goal of carbon dioxide emission peaking. Besides, the basic data used in this model is mainly from the local statistical departments of the region. Thus, it can be applied to other provinces and regions conveniently.