There is a strong connection between the Federal Reserve’s monetary policy and the trend of international food prices. Employing the average information share model, EGARCH(Exponential Generalized Autoregressive Conditional Heteroskedasticity), and DCC-MGARCH(Dynamic Conditional Correlation-Multivariate Generalized Autoregressive Conditional Heteroskedasticity) models, this study investigates the relationship between the U.S. dollar index, international grain futures prices, and spot prices in the context of Federal Reserve monetary policy adjustments from 2000 to 2023. The findings reveal that, first, under conditions of long-run cointegration, the U.S. dollar index exerts a strong pricing influence over international grain futures, while grain futures demonstrate a significant price discovery function over spot prices. Second, both international grain futures and spot markets exhibit asymmetric volatility, with price increases being more pronounced than decreases in response to external shocks. Additionally, the U.S. dollar index has a unidirectional and inverse influence on grain futures prices, while futures and spot prices interact bidirectionally and move in the same direction. This paper contributes to understanding the impact of Federal Reserve monetary policy adjustments on international food prices and offers policy insights for countries to manage food import risks and maintain price stability.

Fiscal transfers are a key policy instrument for supporting grain production, and a systematic assessment of their effects offers a critical basis for improving the design of incentive-based grain production policies. Unlike most existing studies, which primarily examine fiscal transfers from the perspective of improving farm households’ welfare and micro-level production decisions, this paper focuses on their impact on the grain production performance of major grain-producing counties, which account for over 80% of China’s grain output. Utilizing panel data from 1319 county-level units in China, this study employs a difference-in-differences (DID) approach to evaluate the impact of the “Reward Policy for Major Grain-Producing Counties (RPMGC)”, a central-to-county fiscal transfer program, on grain production. The empirical results indicate that: First, the reward policy significantly promotes grain production, and this finding remains robust across a series of robustness tests. Second, from a temporal perspective, the policy’s impact follows a trend of initially increasing and then decreasing over time, suggesting that the policy effects lack long-term sustainability. Third, mechanism analysis reveals that the policy enhances grain production by fostering technological advancement, mitigating production risks, and facilitating scaled-up production. Fourth, further analysis indicates that the policy effects are more pronounced in counties located within major grain-producing regions and those experiencing higher fiscal pressure. These findings provide valuable insights for improving the design of intergovernmental grain production incentives, refining grain production incentive mechanisms, and consolidating national food security.