<p>This paper examines the spillover dynamics between multiple carbon trading markets and green energy markets in China. Utilizing the data from six pilot carbon trading markets and sector-level data from green energy industries, the dynamic spillover effect is quantified and analyzed based on Diebold-Yilmaz index model, while the interconnected pattern is explored through the lens of complex network. Empirical results show that there is a significant spillover, carbon trading markets predominantly serving as spillover receivers, while green energy sectors function as the primary spillover transmitters. Specifically, all carbon trading markets have higher in-degree centrality value than their out-degree centrality value, whereas the reverse trend is observed for green energy sectors. Additionally, Photovoltaics is the largest net spillover transmitter, while Shanghai stands out as the largest net spillover receiver among all the carbon markets and holds the highest centrality value, signifying its pivotal role. Furthermore, the spillover network exhibits a highly disassortative mixing pattern, indicating heterogeneous spillover transmission across markets. These findings would enrich the existing literature and offer practical implications for investors and policymakers to understand and manage the systemic spillover interdependencies.</p>