Forest resources provide rural areas with abundant products and ecosystem services. However, due to difficulties and shortcomings in assessing the ecosystem service value of these resources in rural areas, investors or funding institutions often lack a comprehensive understanding of their true value. Consequently, challenges such as difficulties in securing rural forestry guarantees, limited loan amounts, and inadequate compensation standards have emerged, resulting in severely restricted investments in rural forest resources. This study aims to address these issues by establishing a comprehensive valuation system for the ecosystem services provided by rural forest resources, thereby enabling a more accurate assessment of their value. This study focuses on Muyun She Nationality Township in Fuan City, China, and valuates the ecosystem service value of the forest resources in this locality. The findings reveal that the annual economic value of ecosystem services provided by forest resources in Muyun She Nationality Township amounts to 397,899,293.49 yuan. Direct value constitutes over 63% of the total, with forest by-products contributing the largest share at 32%, followed by forest-related rural tourism at 31%. This underscores the significant contribution of agricultural products and tourism from rural forest resources to the local economy. Moreover, the study highlights the crucial role of rural forest resources in providing agricultural by-products, promoting rural tourism, enhancing rural economic development, and facilitating rural revitalization efforts. In light of these findings, this paper advocates for private-sector investment, expanding financing channels, and developing tourism projects to diversify investment channels for rural forest resources and increase investment amounts.

The progressive financialization of oil, in tandem with the advancement of economic globalization, has led to a sharp increase in oil prices. The growing volatility in the global economic and financial landscape has had some impact on the green bond market. Emerging markets, such as China, are particularly interesting due to their rapid evolution. This paper empirically analyzes the dynamic impact of oil market price uncertainty on China's Green Bond (GB) using the Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) model. The empirical findings indicate that the uncertainty of oil has a remarkable time-varying influence on China's green bonds. Specifically, when oil prices rise, the yields on green bonds decrease. Dynamic correlation analysis reveals that oil market uncertainty exhibits a negative correlation with green bonds, with a more pronounced impact during the COVID-19 pandemic. Furthermore, an impulse response analysis shows that long-term interactions between oil prices and green bonds gradually stabilize, and short-term fluctuations are frequent and complex due to market factors. These fluctuations were more pronounced during the COVID-19 pandemic, consistent with the above conclusions. Oil market uncertainty increases risk levels in the overall financial market, which may affect investors' perceptions of green bonds. Drawing on the research outcomes, this study presents targeted policy recommendations aimed at promoting the stable and sustainable development of China's GB market. These measures are designed to bolster the nation's transition toward a green economy and align with its long-term sustainability goals.