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[Spatio-temporal Coupling and Driving Mechanisms of Agricultural Carbon Emission Reduction and High-quality Development of Agricultural Economy].

農業炭素排出削減と農業経済の高品質発展の時空間結合及び駆動メカニズム (AI 翻訳)

Jing-Cai Li, Yun Xiang, Qian Lu

PubMedジャーナル2026-07-08#政策Origin: CN対象セクター: agriculture
DOI: 10.13227/j.hjkx.202506116
原典: https://pubmed.ncbi.nlm.nih.gov/42473364

🤖 gxceed AI 要約

日本語

本研究は2012年から2022年までの中国229都市のパネルデータを用い、農業炭素排出削減と農業経済の高品質発展の間の時空間結合と駆動メカニズムを分析した。結合度調整モデル、Dagumジニ分解、QAP法を適用し、結合度は全国的に上昇したが、依然として移行段階にあることを示した。空間格差は主に農業経済発展の内生的差異に起因し、経済発展、技術革新、資源利用効率によって拡大する一方、産業構造と人的資本によって緩和された。

English

Using panel data of 229 Chinese cities from 2012 to 2022, this study analyzes the spatio-temporal coupling and driving mechanisms between agricultural carbon emission reduction and high-quality agricultural economic development. Employing a modified coupling coordination model, Dagum Gini decomposition, and QAP method, it finds that coupling coordination has risen nationally but remains transitional, with spatial disparities driven mainly by endogenous differences in economic development, and exacerbated by economic development, technological innovation, and resource efficiency, while mitigated by industrial structure and human capital.

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

中国の農業炭素削減と経済発展の結合を分析した研究は、日本の農業分野における低炭素化政策や地域間格差の分析に応用可能な手法を提供する。特に、地域別政策や制度改革の重要性を示唆しており、日本の農林水産省や地方自治体の施策立案に参考となる。

In the global GX context

This study provides empirical evidence and a methodological framework (coupling coordination model, QAP) for analyzing the trade-off between carbon emission reduction and economic development in agriculture, a key sector in global decarbonization. Its findings on spatial disparities and driving mechanisms are relevant for policymakers in countries with regional agricultural differences, and contribute to the literature on sustainable agricultural transition.

👥 読者別の含意

🔬研究者:The coupling coordination and QAP methodology can be applied to other sectors or regions for studying the relationship between carbon reduction and economic development.

🏢実務担当者:Policy recommendations for region-specific agricultural decarbonization strategies may inform corporate sustainability planning in the agri-food supply chain.

🏛政策担当者:Highlights the need for coordinated policies between agricultural carbon reduction and economic development, with attention to regional disparities and institutional innovation.

📄 Abstract(原文)

The coordinated development of carbon emission reduction and high-quality development of agricultural economy is essential for advancing the low-carbon transformation in agriculture. Based on panel data for 229 Chinese cities from 2012 to 2022, this study systematically analyzed the spatio-temporal coupling and driving mechanisms of agricultural carbon emission reduction and high-quality development of agricultural economy in China. Research methods included modification of the coupling coordination degree model, Dagum Gini decomposition, and quadratic assignment procedure (QAP) method. The results show that: ① The level of coupling coordination steadily increased nationally and within eight economic areas, exhibiting a staged evolution from near-maladjustment types to reluctant coordination types and then primary coordination types. However, the system remains in a transitional phase. ② In terms of spatial correlation pattern, the coupling coordination degree has gradually changed from a polarization effect to a diffusion effect, evolving from agglomeration to relative equilibrium. A spatial pattern emerged that was higher in the east than in the west and higher in the north than in the south, and central economic areas in transition emerged. In addition, while spatial disparities have narrowed nationally, both intra-regional and inter-regional gaps remained significant across eight economic areas, with the latter contributing more prominently. ③ Disparities in coupling coordination were primarily driven by endogenous differences in high-quality development of the agricultural economy. Additionally, external environmental variations also compounded these disparities, with spatial differentiation amplified by economic development, technological innovation, and resource utilization efficiency, whereas it was alleviated by industrial structure and human capital. Finally, based on these findings, policy recommendations focus on implementing region-specific policies, deepening regional coordinated development strategies, and strengthening institutional innovation mechanisms.

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