This study investigates the drivers of green production practices among forest-cultivated ginseng growers in Jilin Province, China, by integrating the Theory of Planned Behavior (TPB) and the Technology–Organization–Environment (TOE) framework. Based on survey data from 369 households in the major production regions of Tonghua, Baishan, and Yanbian areas, an Ordered Probit model and a Light Gradient Boosting Machine (LGBM) algorithm are employed for cross-validation. The results indicate that growers’ cognitive traits (awareness of green production standards and ecological/quality safety) and willingness (acceptance of price premiums for green products) are the most stable and critical drivers. Policy incentives (e.g., certification subsidies and outreach) not only directly promote green practices but also exhibit synergistic effects through interactions with resource endowments and psychological cognition. Regional heterogeneity is evident: Tonghua shows policy–market co-drive, Baishan is dominated by ecological constraints and safeguard policies, while Yanbian relies more on education and individual resources. Accordingly, this study proposes a differentiated policy system based on diagnosis–intervention–evaluation to support the high-quality development of forest-cultivated ginseng industry and ecological-economic synergies.

Using panel data from 30 Chinese provinces for the 2011–2024 period, this study empirically analyzes the impact of green finance on the realization of the value of ecological products, as well as the mediating mechanism and spillover effect of green finance. The results show that: (1) Green finance has a positive association with the realization of the value of ecological products. Specifically, for every one standard deviation increase in green finance, the realization of the value of ecological products increases by about 2.77%. (2) The mediating effect reveals that green technology innovation acts as a mediating channel in the relationship between green finance and the realization of the value of ecological products. The indirect effect is 0.1012, and the Bootstrap 95% confidence interval excludes zero. (3) Heterogeneity analysis, based on the interaction coefficient, indicates that a positive relationship between green finance and the realization of the value of ecological products is more obvious in the central region and western region, and in regions with higher levels of ecological industrialization development. (4) A spatial correlation exists in the realization of the value of ecological products. Furthermore, under both the inverse distance square matrix and spatial adjacency matrix, the direct effect of green finance is negative, indicating that green finance may weaken the realization of the value of ecological products in local regions. However, green finance generates positive spillover effects, suggesting that it can exert a favorable influence on the realization of the value of ecological products in adjacent regions.