ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Land, Livelihoods and Food Security
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1658655
This article is part of the Research TopicFood Systems, Spatial Modelling, And PlanningView all 7 articles
Spatiotemporal Heterogeneity and Drivers of Coupling Coordination Between Agricultural Productive Services and Rice Production Carbon Efficiency: Evidence from County-Level Data in Jiangxi Province, China
Provisionally accepted
- 1Jiangxi Agricultural University, Nanchang, China
- 2Jiangxi University of Finance and Economics, Nanchang, China
- 3Jiangxi Academy of Social Sciences, Nanchang, China
- 4Nanjing Institute of Geography and Limnology Chinese Academy of Sciences, Nanjing, China
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Introduction: Agricultural productive services (APS), as a vital component of modern agricultural industrial systems, play a critical role in advancing green agricultural transformation and sustainable development. Methods: This study investigates the spatiotemporal evolution, regional disparities, and influencing factors of the coupling coordination degree (CCD) between APS and the carbon efficiency in rice production (RCE) in Jiangxi Province, China. The spatiotemporal patterns, dynamic trends, and driving mechanisms were analysed using kernel density estimation, Dagum Gini coefficient decomposition, and the geographically and temporally weighted regression (GTWR) model. Results: The results indicate that the CCD between APS and RCE demonstrates a weakly multipolar dynamic evolution pattern, exhibits an upward trend but remains suboptimal, with significant regional disparities driven by interregional hypervariable density (49.18% contribution). Influencing factors displayed notable spatiotemporal heterogeneity, with contributions ranked as follows: rural population-land scale > financial support for agriculture > planting structure > urban-rural income gap > multiple cropping index > urbanization level. Discussion: Our findings offer insights applicable to Global South countries facing similar challenges in balancing productivity and decarbonization, and we propose actionable strategies to enhance APS systems, establish cross-regional coordination mechanisms, and optimize resource allocation for low-carbon agricultural transitions.
Keywords: agricultural productive services, carbon efficiency in rice production, Coupling coordination degree, Geographically and Temporally Weighted Regression Model, Sustainable development of agriculture
Received: 03 Jul 2025; Accepted: 02 Oct 2025.
Copyright: © 2025 Wu, Gao, Guo, Wang and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jiangtao Gao, 2202310089@stu.jxufe.edu.cn
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