農業ブロックチェーン準備環境とトウモロコシ生産における炭素排出強度：中国主要トウモロコシ産地の省別パネルデータによる証拠

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:農業デジタル化と排出強度の関連を省別パネルで示した実証研究として、因果推論の限界とメカニズム分析の手法が参考になる。

🏢実務担当者:農業サプライチェーンにおけるデジタル基盤整備が排出削減と関連する可能性を示唆し、Scope 3管理やトレーサビリティ投資の検討材料となる。

🏛政策担当者:農業デジタル化政策と気候目標の整合性を検討する際、地域の準備環境指標が排出強度と負の関連を持つ点が政策設計の参考になる。

China’s major maize-producing regions face the joint challenge of sustaining food production and reducing agricultural emissions. Existing research on digital agriculture often uses broad digitalization measures and therefore does not distinguish the regional conditions that may enable information management, traceability, and verification applications associated with blockchain. This study constructs an Agricultural Blockchain Readiness Environment Index (ABRE Index, block_index) using entropy weighting across digital infrastructure, the agricultural industrial base, and policy support. The index measures regional readiness and enabling conditions rather than realized blockchain adoption. Using 180 province-year observations for 12 major maize-producing provinces from 2010 to 2024, we estimate two-way fixed-effects models with province-clustered inference and conduct supplementary robustness analyses. The ABRE Index is negatively associated with carbon emissions per unit of maize-sown area, with the baseline coefficient statistically significant at the 10% level under conventional clustered inference and supported by supplementary inference procedures. The coefficient remains negative in all 12 leave-one-out specifications, is statistically significant at the 10% level or better in 10 specifications, and the wild cluster bootstrap test yields p  = 0.0415. The index is positively correlated with blockchain-related patent activity ( r  = 0.1883, p  = 0.0114), although this correlation does not establish that the index measures realized adoption. The mechanism analysis is consistent with an organizational pathway through agricultural socialized services: the ABRE Index is positively associated with service_ratio (0.1099, p  < 0.01), and agricultural socialized services are negatively associated with ce_area (−2.2765, p  < 0.05). The interaction with the high-development indicator is negative but does not reach the conventional 10% significance threshold (−0.1499, p  = 0.103). Overall, the evidence supports an associational relationship between blockchain-readiness conditions and maize-production carbon-emission intensity; it does not establish a strictly causal effect of blockchain adoption.

• semanticscholar https://www.frontiersin.org/journals/sustainable-food-systems/articles/10.3389/fsufs.2026.1942225/pdffirst seen 2026-10-10 05:45:12