Spatial Coupling Between the Greenhouse-Oriented Transformation of Cultivated Land and Low-Carbon Agricultural Emission Performance and Its Associated Factors
耕地の温室効果ガス志向転換と低炭素農業排出性能の空間的結合とその関連要因 (AI 翻訳)
Chenglai Wan, Ping Zhou, Liron Xue, Yuan Bin, Yihui Zhong, Yonglin Chen
🤖 gxceed AI 要約
日本語
中国31省のデータを用いて、温室効果ガス志向の耕地転換と低炭素農業排出性能の結合度を分析。結合度は初期に改善したが、その後調整・収束期に入り、空間的クラスタリングが顕著。農村経済発展は結合度に負の影響、人口密度は正の影響。施設農業政策は規模拡大より質向上・クリーンエネルギー・投入削減を優先すべきと提言。
English
Using data from 31 Chinese provinces, this study analyzes the coupling between greenhouse-oriented cultivated land transformation and low-carbon agricultural emission performance. Coupling coordination improved initially but then entered a period of adjustment and convergence, with significant spatial clustering. Rural economic development negatively affects coordination, while population density has a positive but model-sensitive effect. The study recommends prioritizing quality improvement, clean energy, and input reduction over scale expansion in facility agriculture policies.
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
日本の農業分野における脱炭素政策（みどりの食料システム戦略）や土地利用計画に示唆を与える。中国の実証結果は、地域間格差や空間的波及効果の考慮の重要性を示しており、日本国内の地域別農業政策の設計に参考となる。
In the global GX context
This study contributes to global agricultural decarbonization scholarship by providing empirical evidence on the spatial coupling between land-use transformation and low-carbon performance. It highlights the importance of regional disparities and spatial spillovers, offering insights for designing spatially targeted agricultural climate policies, relevant to the EU's Farm to Fork strategy and other national decarbonization efforts.
👥 読者別の含意
🔬研究者:Provides a methodological framework for coupling coordination analysis in agricultural decarbonization, applicable to other regions.
🏢実務担当者:Offers evidence that facility agriculture should focus on quality and efficiency rather than expansion, guiding sustainable land management practices.
🏛政策担当者:Highlights the need for spatially differentiated policies to enhance coordination between land transformation and low-carbon agriculture.
📄 Abstract（原文）
Investigating the coordination between greenhouse-oriented cultivated-land transformation and low-carbon agricultural emission performance is important for optimizing land use and advancing agricultural decarbonization. Using data for 31 mainland Chinese provinces in 2010, 2016, and 2022, this study constructs corresponding indices and examines their relationship using a coupling coordination model, spatial autocorrelation analysis, fixed-effects estimation, and a spatial Durbin model. The results show that greenhouse-oriented transformation increased but remained regionally uneven, with higher levels concentrated in eastern and northern coastal regions. The interprovincial mean of standardized agricultural carbon-emission intensity increased from 0.3225 in 2010 to 0.3557 in 2016, representing a 10.29% rise, before declining to 0.3279 in 2022—7.83% below the 2016 level but 1.66% above the 2010 level. Coupling coordination improved initially and subsequently entered a period of adjustment and convergence, while remaining predominantly low to moderate. It also exhibited significant positive spatial clustering. Rural economic development was negatively associated with local coordination, whereas population density showed a positive but model-sensitive association, and the urban–rural income gap produced limited spillover effects. The spatial autoregressive coefficient was insignificant. Facility-agriculture policies should therefore prioritize quality improvement, clean energy, input reduction, and resource efficiency rather than continued scale expansion.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18157920first seen 2026-08-06 04:58:50
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