[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2760":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":51},2760,"Ecological civilization demonstration zones and sustainable low-carbon agricultural transformation: Quasi-natural evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1945948","Promoting sustainable low-carbon agricultural transformation is essential for building climate-smart and sustainable food systems, particularly in countries where agricultural production remains closely associated with resource consumption and environmental pressure. This study examines whether China’s National Ecological Civilization Demonstration Zones (ECDZ) reduce agricultural carbon emission intensity (ACEI) and thereby support greener agricultural production. Using panel data from 30 Chinese provinces during 2003–2024, we treat ECDZ construction as a quasi-natural experiment and estimate its effects using double machine learning (DML) and a spatial difference-in-differences (SDID) model. The results show that ECDZ construction significantly reduces ACEI, and this conclusion remains robust to parallel-trend tests, the exclusion of concurrent policy shocks, and alternative machine-learning algorithms. Mechanism tests indicate that the reduction operates through agricultural green technological progress and agricultural industrial structure upgrading. Spatial analysis further shows significant spillover effects, suggesting that ECDZ construction reduces ACEI not only locally but also in neighboring regions. These findings provide empirical evidence that ecological civilization policies can support sustainable low-carbon agricultural transformation and contribute to climate-oriented food system governance. They also highlight the need to strengthen green technology diffusion, agricultural structural upgrading, and regional policy coordination.","推动可持续低碳农业转型，对于建设气候智慧型和可持续的粮食体系至关重要，尤其是在农业生产仍与资源消耗和环境压力密切相关的国家。本研究考察中国国家生态文明建设示范区（ECDZ）是否能够降低农业碳排放强度（ACEI），从而支持更绿色的农业生产。基于2003—2024年中国30个省份的面板数据，我们将ECDZ建设视为一项准自然实验，并采用双重机器学习（DML）和空间双重差分（SDID）模型估计其效应。结果表明，ECDZ建设显著降低了ACEI，且该结论在平行趋势检验、排除同期政策冲击以及替代机器学习算法后依然稳健。机制检验表明，这一减排效应通过农业绿色技术进步和农业产业结构升级发挥作用。空间分析进一步显示出显著的溢出效应，表明ECDZ建设不仅在本地降低ACEI，也降低了邻近地区的ACEI。这些发现提供了经验证据，表明生态文明政策能够支持可持续低碳农业转型，并有助于面向气候目标的粮食体系治理。研究还强调，需要加强绿色技术扩散、农业结构升级和区域政策协调。",null,"Frontiers in Sustainable Food Systems","2026-09-16T00:00:00Z","论文",10,false,85,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,23,18,13,9,1,"基于30省2003—2024年面板数据，用双机器学习与空间双重差分实证生态文明示范区对农业碳排放强度的抑制效应及溢出，方法新颖、结论可靠，对低碳农业政策有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"低碳农业","农业政策","农业碳减排","绿色技术","生态文明",0,"10.3389\u002Ffsufs.2026.1945948",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":43,"card":44,"direction":48,"ingested_from":50},"W7213428280",[37,39,41],{"name":38,"orcid":9},"Xiaoyu Chen",{"name":40,"orcid":9},"Xuexue Wu",{"name":42,"orcid":9},"Haohan Wang","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1945948\u002Fpdf",{"tldr":45,"method":46,"finding":47,"direction":48,"opportunity":49},"以中国生态文明示范区为准自然实验，检验其能否降低农业碳排放强度。","2003–2024年30省面板数据，双机器学习与空间双重差分。","示范区显著降低农业碳排放强度，并通过绿色技术进步与产业结构升级起作用，存在空间溢出。","农业绿色发展与碳","可探究示范区政策工具组合与绿色技术扩散路径，及跨区域协同减排的微观机制。","openalex","2026-09-17T23:30:08.212229Z"]