Replication Data for “Can Renewable Energy Decouple Material Use from Environmental Degradation? Evidence from CO₂ Emissions and Load Capacity Factors”

This replication package accompanies the manuscript “Can Renewable Energy Decouple Material Use from Environmental Degradation? Evidence from CO₂ Emissions and Load Capacity Factors.” The package contains the Stata replication code, original analysis log, variable and source documentation, table-to-code mapping, and reproducibility instructions. The harmonized analytical dataset is not redistributed publicly because it contains observations derived from third-party sources subject to source-specific reuse conditions. Instructions for obtaining the underlying data and reconstructing the analytical input are provided in the package. The empirical workflow covers descriptive analysis, cross-sectional dependence and slope-heterogeneity tests, panel unit-root and cointegration diagnostics, CS-ARDL/DCCE estimation, material-footprint × renewable-energy interaction models, dynamic threshold estimation, quantile CCE estimation, bias-corrected quantile estimation, AMG, and CCEMG robustness analysis. The README documents the software requirements, data sources, code sequence, and mapping between the manuscript tables and replication commands. The package is provided to facilitate verification and reproducibility of the results reported in the associated manuscript.本复现配套包（replication package）对应学术论文《可再生能源能否实现物质消耗与环境退化脱钩？基于二氧化碳排放与负荷因子的实证证据》。本复现包包含Stata复现代码、原始分析日志、变量与来源说明文档、代码-表格映射表以及可复现性操作指南。经统一标准化处理的分析数据集因包含源自第三方的观测数据，受各来源专属复用条款约束，故不对外公开重分发。本包中提供了获取原始数据与重构分析输入文件的操作指南。本实证分析流程涵盖描述性分析、截面相关性（cross-sectional dependence）与斜率异质性（slope heterogeneity）检验、面板单位根与协整诊断、CS-ARDL (Cross-Sectional Autoregressive Distributed Lag)/DCCE (Dynamic Common Correlated Effects) 估计、物质足迹（material footprint）×可再生能源交互模型、动态门槛估计、分位数CCE (quantile Common Correlated Effects) 估计、偏差校正分位数估计、AMG (Augmented Mean Group) 以及CCEMG (Common Correlated Effects Mean Group) 稳健性分析。README文件说明了软件需求、数据来源、代码运行顺序以及论文表格与复现命令之间的对应关系。本复现配套包旨在方便对相关论文中报告的研究结果进行验证与复现。