Lu Bo, Sun Yue, Fan Lijie, Ma Xuejiao, Duan Hongbo
School of Economics and Management, Dalian University of Technology, Dalian 116024, China.
School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China.
Patterns (N Y). 2023 Jul 31;4(10):100801. doi: 10.1016/j.patter.2023.100801. eCollection 2023 Oct 13.
Offshore carbon emissions from the international shipping trade are significant contributors to climate change. Based on the complex shipping trade networks, offshore carbon emissions are correlated rather than independent, and allocating responsibility for reducing emissions does not depend solely on the amount but on linkages. We use the global container shipping data covering more than 98% of routes from 2015 to 2020 to calculate the offshore carbon emissions from shipping. Subsequently, we construct an offshore carbon emissions network based on the shipping routes and emissions to identify the evolutionary tendency of network and clarify emissions reduction responsibilities by considering equity and efficiency. We discover that global offshore carbon emissions present a complicated network structure dominated by developed countries and large economies. Countries on the same continent or within the same economic organizations have closer and more frequent carbon correlations. Greater responsibilities should be allocated to countries who are at the center of the network.
国际航运贸易产生的海上碳排放是气候变化的重要促成因素。基于复杂的航运贸易网络，海上碳排放是相互关联而非独立的，减排责任的分配不仅取决于排放量，还取决于联系。我们使用2015年至2020年覆盖98%以上航线的全球集装箱航运数据来计算航运产生的海上碳排放。随后，我们基于航线和排放量构建了一个海上碳排放网络，以识别网络的演变趋势，并通过考虑公平和效率来明确减排责任。我们发现，全球海上碳排放呈现出一个由发达国家和大型经济体主导的复杂网络结构。同一大陆或同一经济组织内的国家碳关联更紧密、更频繁。应将更大的责任分配给处于网络中心的国家。
