Data for Determining Spatially Varying Profit-Maximizing Management Practices for Miscanthus and Switchgrass Production in the Rainfed United States

The compiled datasets include county-level variables used for simulating miscanthus and switchgrass production in 2287 counties across the rainfed US including 5-year (2012-2016) averaged growing season degree days (GDD), 5-year (2012-2016) averaged growing season cumulative precipitation, National Commodity Crop Productivity Index (NCCPI) values, regional dummies (only for miscanthus), the regional-level random effect of the yield response function, N price, land cash rent, the first year fixed cost (only for switchgrass), and separate datasets for simulating an alternative model assuming a constant N rate. The GAMS codes are used to run the simulation to obtain the main results including the age-varying profit-maximizing N rate, biomass yields, and annual profits for miscanthus and switchgrass production across counties in the rainfed US. The STATA codes are used to merge and analyze simulation results and create summary statistics tables and key figures.

本汇编数据集包含用于模拟美国雨养农业区2287个县的芒草（miscanthus）与柳枝稷（switchgrass）生产的县级变量，具体涵盖：2012-2016年五年平均生长期积温（GDD）、2012-2016年五年平均生长期累计降水量、国家商品作物生产力指数（NCCPI）数值、区域虚拟变量（仅针对芒草）、产量响应函数的区域随机效应、氮肥价格、土地现金租金、首年固定成本（仅针对柳枝稷），以及用于模拟假设固定氮肥施用量替代模型的独立数据集。
研究采用GAMS代码运行模拟流程，以获取核心结果，包括美国雨养农业区各县芒草与柳枝稷生产中随种植年限变化的利润最大化氮肥施用量、生物量产量及年利润。
研究使用STATA代码合并并分析模拟结果，生成描述性统计表格与关键可视化图表。