Green finance is a critical component of the safeguard mechanism for realizing the value of ecological products, playing a vital role in fostering ecologically sustainable production and consumption models. This study conducts a comprehensive evaluation of green finance policies for realizing the value of ecological products, based on a systematic analysis of policy documents issued between December 2010 and April 2024. The evaluation framework encompasses three dimensions: policy content elements, policy quality, and the structural composition of policy tools, using Social Network Analysis and the PMC Index Model as key analytical methods. The results reveal the following: (1) Analysis of the policy content reveals that the core keywords are significantly focused on ecology and green, with additional emphasis on terms like product and finance. This indicates that the policy orientation is primarily shaped by concepts such as support and value, while financing and innovation serve as key driving forces. The implementation mechanisms include strategies such as projects, exploration, and encouragement, reflecting a combination of top-down planning and practical approaches aimed at promoting sustainable development. (2) The analysis of policy element networks shows an average connectivity degree of 781.68, with 22.59% of all relational links found in a limited number of core policies. Moreover, the average relationship strength between any two policy elements is recorded at 15.95. This data suggests that while there is some level of synergy among these elements, coordination remains uneven, with certain elements exhibiting weak connections. Such findings highlight the need for improved integration among various policy components to enhance the overall effectiveness of green finance initiatives. (3) In terms of policy quality evaluation, green finance policies aimed at the realization of ecological product value across various regions have generally reached a qualified level or above. Among them, the policy quality in Central China, South China, Northwest China, and East China is higher than that in other regions. Further analysis reveals that policy timeliness, policy fields and policy tools are key factors influencing policy quality. (4) Examining the structural makeup of policy tools reveals that demand-side policy tools are predominant, accounting for 57.69% of all tools utilized, followed by environmental-side policy tools at 23.25% and supply-side policy tools at 19.06%. Among the 19 specific policy tools, the top five in terms of proportion are green credit, green insurance, ecological product asset securitization, industrial guidance, and property rights mortgage, collectively accounting for 55.85%. In contrast, the bottom five tools—regulatory frameworks, credit evaluation, talent cultivation, exchange and cooperation, and technical support—together account for only 6.61%.