Replication Data for "Carbon Emissions Trading and High-Quality Agricultural Development in China: Evidence from Double Machine Learning and Staggered Adoption"

This record contains the data, figures, tables, and replication materials supporting the study “Carbon Emissions Trading and High-Quality Agricultural Development in China: Evidence from Double Machine Learning and Staggered Adoption.” The materials include the analysis-ready balanced panel of 30 Chinese province-level units observed annually from 2007 to 2020, comprising 420 province–year observations; variable definitions and source documentation; treatment timing and cross-fitting fold assignments; MATLAB analysis code; and all numerical values underlying the reported tables and figures. The archive further includes all outputs used in the empirical analysis, including cross-fitted predictions, baseline and robustness regression results, event-study estimates, synthetic-control-weighted estimates, permutation test results, mechanism (channel) estimates, and regional heterogeneity estimates. The corresponding figures and tables have been fully revised and updated to ensure consistency with the final estimation results and are included in reproducible form. The analytical panel contains no missing values. Missing observations in the underlying statistical series were interpolated prior to the construction of analytical variables. Original records obtained from statistical yearbooks and third-party databases are not redistributed due to licensing and access restrictions imposed by the data providers. Complete source information is documented within the archive. A development copy of the replication package is available at: https://github.com/tianmv168/carbon-trading-agricultural-development-china