中国の低炭素農地利用パフォーマンス：ネットワーク進化、構造的位置、ガバナンスへの示唆
Low-Carbon Cropland Use Performance in China: Network Evolution, Structural Positions, and Governance Implications (原題)
Qi Xia, Yi Chen, Yi Chen, Yinrong Chen, Yinrong Chen
🤖 gxceed AI 要約
日本語
中国31省の低炭素農地利用パフォーマンス（PCLU）を2010-2023年で評価。スーパー効率SBMモデルと修正重力モデルによるネットワーク分析を実施し、PCLUは上昇する一方で省間格差が拡大。ネットワークは経路依存性と相互性が支配し、多極構造へ再編。緑技術特許協力との整合性は中程度。省のパフォーマンスとネットワーク位置に基づく差別化された協調の必要性を示す。
English
This study evaluates low-carbon cropland use performance (PCLU) across 31 Chinese provinces from 2010 to 2023 using a super-efficiency SBM model and network analysis. PCLU improved but disparities widened, with network evolution driven by persistence and reciprocity, leading to a multi-hub structure. Moderate alignment with green-tech patent collaboration suggests selective interprovincial coordination. Findings support differentiated governance based on provincial performance and network position.
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
中国の農業低炭素化の実証分析は、日本の農業分野におけるGX推進や地域間連携の参考になる。特に、省間ネットワーク分析の手法は、都道府県レベルの排出削減協調やSSBJ対応のScope 3排出量管理に応用可能。
In the global GX context
This study provides empirical evidence on subnational low-carbon transitions in agriculture, relevant to global discussions on land-use emissions and climate policy. The network approach offers a framework for analyzing interregional cooperation, which can inform ISSB-aligned supply chain disclosures and transition finance strategies in agricultural sectors.
👥 読者別の含意
🔬研究者:Provides a novel network-based methodology for assessing low-carbon performance in agriculture, useful for comparative studies.
🏢実務担当者:Insights into interprovincial coordination can inform supply chain management and Scope 3 emissions reduction strategies.
🏛政策担当者:Highlights the need for differentiated regional policies to address uneven low-carbon transition in agriculture.
📄 Abstract（原文）
Improving cropland carbon performance while maintaining food security is central to China’s agricultural transition and climate goals This study examines low-carbon cropland use performance (PCLU) and its model-implied interprovincial association network across 31 Chinese provinces from 2010 to 2023. A global super-efficiency slacks-based measure model estimated PCLU by incorporating agricultural output, carbon emissions, nonpoint-source pollution, and crop sequestration; annual directed networks were constructed with a modified gravity model and analyzed using social network analysis, a temporal exponential random graph model (TERGM), and complementary quadratic-assignment analyses. Mean PCLU increased from 0.524 to 0.861, while the interquartile range widened from 0.146 to 0.310; network density declined before partially recovering as hierarchy increased, indicating improvement without provincial convergence and reconnection within a more differentiated multi-hub structure. Persistence (β = 4.510) and reciprocity (β = 2.376) dominated network evolution, whereas shared partners produced neither additional triadic closure nor expanding open chains; similarities in urbanization and planting structure favored ties, while rural-income differences reflected socioeconomic complementarity. External validation showed moderate overall correspondence with green-technology patent collaboration (mean annual QAP r = 0.335) but limited overlap among the strongest dyads. Overall, China’s low-carbon cropland transition combined rising but increasingly uneven performance with a path-dependent and selective interprovincial structure, providing an empirical basis for differentiated coordination based on provincial performance and network position.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15081491first seen 2026-08-19 04:40:22
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