貿易ネットワークと炭素価格導入
Trade networks and carbon pricing adoption (原題)
Rüya Karcı, Nazmiye Tekdemir, Dilara Çakmakoğlu
🤖 gxceed AI 要約
日本語
1996〜2024年の51カ国における国家炭素価格制度(炭素税・排出量取引)の初回導入を、空間的トランジション・プロビットモデルで分析するためのデータセット。二国間貿易フロー(BACI/UN Comtrade)から構築した重み行列を用い、貿易ネットワークを通じた政策拡散を推定可能にする。輸出・輸入・総貿易や基準年を変えた複数の頑健性チェック用行列も提供する。
English
A replication dataset for a spatial transition probit analyzing first adoption of national carbon pricing (taxes and ETS) across 51 countries from 1996 to 2024. It provides trade-weighted matrices built from BACI/UN Comtrade bilateral flows to estimate policy diffusion through trade networks, plus import, total-trade, and base-year variants for robustness checks.
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
日本でも炭素税・GX経済移行債・排出量取引制度の議論が進む中、貿易相手国からの政策波及経路を定量化する枠組みは、国内炭素価格制度設計や国際連動の政策対話に示唆を与える。
In the global GX context
As carbon pricing proliferates unevenly, evidence that adoption diffuses through trade networks informs how ISSB/TCFD-aligned disclosure and carbon-border mechanisms (CBAM) may propagate pricing norms across jurisdictions.
👥 読者別の含意
🔬研究者:貿易重み付き空間モデルによる政策拡散の実証手法と再現可能なデータ設計を学べる。
🏢実務担当者:主要貿易相手国の炭素価格導入動向を、自社の炭素コスト・CBAMエクスポージャー評価に反映する材料になる。
🏛政策担当者:炭素価格制度の国際波及経路を踏まえ、貿易相手国との政策協調や国境調整措置の設計に活用できる。
📄 Abstract(原文)
This dataset supports the empirical analysis of the first adoption of national carbon pricing (carbon taxes and emissions trading systems) in 51 countries over 1996 to 2024 (29 annual periods). The model is a spatial transition probit in which post adoption years are removed from the set of countries at risk. Participation in supranational systems such as the European Union Emissions Trading System is not counted as adoption unless the country also introduced a national instrument. All files are MATLAB (.mat) files, and the country order is identical across files. Files IT_carbon.mat: the estimation data. N = 51 countries; T = 29 years; years = 1996 to 2024. data: a cell array with one 51 by 35 matrix (X) per year, holding the explanatory variables and the adoption indicator for each country. The first column is a constant. No values are missing. adoptiondate: a 51 by 1 vector with each country’s adoption period counted from 1996 (0 = adopted before the sample period; Inf = no national carbon pricing instrument by the end of 2024). W (also stored as A, B and C): a 51 by 51 row standardised weight matrix used in estimation. countries and xvars: country names and variable names. W_trade_export_1996.mat: the baseline trade weight matrix. W_raw_trade_export_1996 contains the raw bilateral export flows for 1996, and W_trade_export_1996 contains the same flows after row standardisation (each row sums to one, zero diagonal, not symmetric). Rows show a country’s export shares across destination countries. W_trade_import_1996.mat: the same construction using bilateral import flows for 1996 (robustness check). W_trade_total_1996.mat: the same construction using total bilateral trade (exports plus imports) for 1996 (robustness check). W_trade_export_2000.mat: the same construction as the baseline using bilateral export flows for 2000 (robustness check on the base year). W and W_export_2000 are identical. Notes Bilateral trade flows are taken from the BACI database (CEPII), which is based on UN Comtrade data. Two countries have no recorded trade flows in 1996, so their rows in the 1996 matrices contain only zeros. The row standardised matrices are the ones used in the models reported in the paper; the raw matrix is provided for replication of the standardisation. Suggested keywords: carbon pricing, carbon tax, emissions trading, policy diffusion, trade networks, spatial econometrics, spatial transition probit Suggested licence: CC BY 4.0
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.17632/642nfrsw6cfirst seen 2026-11-15 05:03:13
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