中国における炭素排出権取引と高品質農業発展：ダブル機械学習と段階的導入による証拠（複製データ）
Replication Data for "Carbon Emissions Trading and High-Quality Agricultural Development in China: Evidence from Double Machine Learning and Staggered Adoption" (原題)
Yonghui Li
🤖 gxceed AI 要約
日本語
中国の炭素排出権取引制度が農業の高品質発展に与える影響を、ダブル機械学習と段階的導入（staggered adoption）設計で因果推定した研究の複製パッケージ。2007〜2020年の30省・420観測のパネルデータ、MATLABコード、イベントスタディや合成対照法などの推定結果を収録。炭素価格政策の農業部門への波及効果を実証的に示す。
English
Replication package for a study estimating the causal effect of China's carbon emissions trading scheme on high-quality agricultural development, using double machine learning and staggered adoption designs. It provides a 2007–2020 balanced panel of 30 Chinese provinces (420 observations), MATLAB code, and all estimates including event-study and synthetic-control results. Offers empirical evidence on how carbon pricing spills over into the agricultural sector.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では炭素価格制度（GXリーグ・カーボンプライシング構想）の議論が進むが、農業・一次産業への影響評価は手薄。炭素取引の産業横断的波及を定量化する手法は、日本版排出量取引の政策設計やGX推進の参考になる。
In the global GX context
As carbon pricing expands under EU ETS, CBAM, and emerging Asian schemes, evidence on cross-sectoral spillovers beyond heavy industry is scarce. This study's DML and staggered-adoption approach offers a methodological template for evaluating carbon market effects on agriculture and other non-industrial sectors globally.
👥 読者別の含意
🔬研究者:炭素価格政策の因果推論にDMLと段階的導入設計を適用する実証手法の参考になる。
🏢実務担当者:農業・食品サプライチェーン企業が炭素価格制度の間接コスト影響を把握する材料になる。
🏛政策担当者:排出量取引制度が農業など非産業部門へ及ぼす波及効果を政策評価に組み込む示唆を提供。
📄 Abstract（原文）
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
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.22933357first seen 2026-09-26 04:41:33
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