中国製造業の炭素排出効率と精密炭素削減経路の選択——潜在的コスト枠組みに基づく分析視角
Carbon emission efficiency of China's manufacturing industry and choice of precise carbon reduction paths——Analysis perspective based on the potential cost framework (原題)
Yunwei Du, 吴加琪, Siyu Li, Yingpu Zhao, Man Kang
🤖 gxceed AI 要約
日本語
中国製造業29部門の2010〜2024年パネルデータを用い、SBM-DDFモデルでメタフロンティアとグループフロンティアの炭素排出効率を推計した。望ましくない産出のスラックから石炭・石油・天然ガスの削減ポテンシャルを定量化し、線形計画法による限界削減費用と組み合わせて「ポテンシャル・ボストン行列」を構築。29部門を4つの脱炭素経路に分類し、高排出グループは削減ポテンシャルが最大かつ平均限界削減費用が最低である一方、天然ガス関連の削減は石炭・石油より高コストであることを示した。
English
Using a 2010-2024 panel of 29 Chinese manufacturing subsectors, this study estimates carbon emission efficiency via SBM-DDF models under meta- and group-frontier technologies. It quantifies abatement potential for coal, oil, and gas from undesirable-output slacks and combines it with marginal abatement costs from parametric linear programming to build a potential-Boston matrix. The 29 subsectors are sorted into four decarbonization pathways; the high-emission group shows the largest potential and lowest average abatement cost, while gas abatement is costlier than coal or oil.
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SSBJ開示やScope 3対応が進む中、部門別の限界削減費用と削減ポテンシャルを可視化する本手法は、企業の脱炭素投資優先順位づけやトランジション・ファイナンスの対象選定に応用可能な分析枠組みを提供する。
In the global GX context
As ISSB/CSRD disclosure pushes firms toward quantified transition plans, this potential-cost matrix offers a replicable method to rank abatement options by cost and potential—useful for transition finance allocation and sectoral decarbonization benchmarking beyond China.
👥 読者別の含意
🔬研究者:メタフロンティアとグループフロンティアを組み合わせた効率・ポテンシャル・費用の統合推計手法は、部門別脱炭素研究の定量フレームとして参照価値が高い。
🏢実務担当者:自社のエネルギー別削減ポテンシャルと限界費用を整理し、投資優先順位やトランジション計画の根拠づけに活用できる。
🏛政策担当者:部門別の削減ポテンシャルと費用に応じた炭素価格・規制・移行金融の組み合わせ設計の参考になる。
📄 Abstract（原文）
Targeted decarbonization in manufacturing requires more than identifying efficiency losses; it also requires assessing each energy source's technical abatement potential, marginal abatement cost, and implementation priority. Using a balanced panel of 29 manufacturing subsectors in China from 2010 to 2024, this study estimates carbon emission efficiency with slacks-based measure directional distance function (SBM-DDF) models under meta-frontier and group-frontier technologies. It then uses undesirable-output slacks to quantify the abatement potential for coal, oil, and natural gas and combines these estimates with marginal abatement costs derived from parametric linear programming to construct a potential-Boston matrix. The results show that the manufacturing sector's meta-frontier efficiency increased from 0.520 to 0.641, although substantial room for improvement remains. For the medium- and high-emission groups, group-frontier efficiency was markedly higher than meta-frontier efficiency, indicating the need for both within-group catch-up and technological upgrading toward the meta-frontier. The high-emission group had the greatest abatement potential and the lowest average marginal abatement cost, whereas abating emissions associated with natural gas was generally more costly than abating those associated with coal or oil. The potential-Boston matrix classifies the 29 subsectors into four decarbonization pathways: phased advancement (13), comprehensive advancement (2), steady maintenance (12), and priority-focused mitigation (2). The proposed framework uses the meta-frontier to define long-term targets and group frontiers to set near-term catch-up benchmarks, translating efficiency, potential, and cost estimates into industry-energy priorities. Technology retrofits, fuel substitution, carbon pricing, transition finance, and regulatory measures can then be tailored to limit output losses while prioritizing high-potential, low-cost abatement opportunities.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1016/j.jclepro.2026.149714first seen 2026-10-23 05:23:32 · last seen 2026-11-06 04:58:08
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