How Farmland Scale Shapes the Impact of Agricultural Productive Services on Green Grain Productivity

This dataset contains panel data for 31 Chinese provinces from 2012 to 2021, used to measure the green total factor productivity (GTFP) of grain. Variables include input factors (labor, land, water, machinery, pesticides, fertilizers, agricultural film), desired outputs (total grain production), and undesired outputs (carbon emissions, agricultural surface pollution), as well as control variables (per capita GDP, urbanization rate, education, financial support, and research investment). The data were used in combination with a three-stage super-efficiency SBM-GML model to analyze the impact of agricultural productive services on grain GTFP, including threshold and heterogeneity analyses. Researchers can use this dataset to replicate the results of the associated study or to further explore factors affecting green productivity in agriculture.