[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4796":3,"related-4796":90},{"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":23,"tags":25,"primary_topic":9,"secondary_topics":31,"classification":32,"search_phrases":55,"slug":58,"view_count":21,"doi":59,"paper":60,"created_at":89},4796,"Comparison of food carbon footprints using 20- and 100-year timeframes","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1717648","Global Warming Potential (GWP) is a common metric used in life cycle analyses and environmental calculations to quantify the warming of Greenhouse Gases (GHGs) relative to CO 2 over a set timeframe. The Intergovernmental Panel on Climate Change (IPCC) recommends use of both 20- and 100-year timeframes to account for impact of short-lived gases such as methane. However, while GWP over a 100-year period (GWP100) is commonly used in food emission databases, food system data using GWP over a 20-year period (GWP20) that could be essential in political and institutional food policy shifts are not readily available. To address this, we (1) calculate GWP20-derived CO 2 -equivalent emission values for 16 broad food categories and 222 specific food items in a comprehensive database alongside GWP100-derived values, and (2) contextualize GWP differences by comparing emission impacts of different meals at a university dining hall under the two scenarios. We demonstrate that the difference in CO 2 -equivalent emission between generally low and high impact foods widens considerably under GWP20, exemplifying the limitations of a one metric system, and the importance of incorporating the impact of short-lived gases within a shorter timeframe in food emission analyses used for food policy and institutional change.","全球变暖潜势（GWP）是生命周期分析和环境计算中常用的一种指标，用于量化温室气体（GHGs）在特定时间范围内相对于二氧化碳的增温效应。政府间气候变化专门委员会（IPCC）建议同时采用20年和100年两种时间框架，以计入甲烷等短寿命气体的影响。然而，尽管100年全球变暖潜势（GWP100）在食品排放数据库中已被普遍使用，但采用20年全球变暖潜势（GWP20）的食品系统数据——这些数据在政治和制度层面的食品政策转变中可能至关重要——却并不容易获取。为解决这一问题，我们（1）在一个综合数据库中计算了16个广泛食品类别和222种具体食品项目的基于GWP20的二氧化碳当量排放值，并与基于GWP100的值进行对照；（2）通过在两种情景下比较大学食堂不同餐食的排放影响，对GWP差异进行了情境化分析。我们证明，在GWP20下，一般低影响食品与高影响食品之间的二氧化碳当量排放差异显著扩大，这例证了单一指标体系的局限性，以及在用于食品政策和制度变革的食品排放分析中纳入短寿命气体在较短时间框架内影响的重要性。",null,"Frontiers in Sustainable Food Systems","2026-10-12T00:00:00Z","论文",10,false,79,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,8,1,"该研究首次系统给出222种食物的20年与100年碳足迹对比数据，为食物政策与机构减排提供新依据，专业性与数据规模突出，值得进入每日精选。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业碳排放","可持续膳食","食物碳足迹","温室气体核算","食物政策",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":41,"reason":54},[38,47],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":46},"B7",6,true,[],[44,45],"温室","greenhouse",[],{"code":48,"score":40,"supported":41,"title":49,"abstract":50,"tags":53},"H7",[],[51,52],"气候变化","climate change",[],"多个产业证据相当，需要确认主归属",[56,57],"GWP20 GWP100 食物碳足迹","IPCC 甲烷 食物排放","GWP20GWP100食物碳足迹-4796","10.3389\u002Ffsufs.2026.1717648",{"doi":59,"openalex_id":61,"authors":62,"venue":10,"cited_by_count":81,"oa_url":6,"card":82,"direction":86,"ingested_from":88},"W7221575468",[63,65,67,69,71,73,75,78],{"name":64,"orcid":9},"Katie Osborn",{"name":66,"orcid":9},"Silas Crocker",{"name":68,"orcid":9},"Kira Presley",{"name":70,"orcid":9},"Alexis Shenkiryk",{"name":72,"orcid":9},"Maggie Spire",{"name":74,"orcid":9},"Jennifer Molidor",{"name":76,"orcid":77},"Mansha Kapur","https:\u002F\u002Forcid.org\u002F0009-0004-4386-261X",{"name":79,"orcid":80},"Jennifer Ayla Jay","https:\u002F\u002Forcid.org\u002F0000-0001-5417-1516",0,{"tldr":83,"method":84,"finding":85,"direction":86,"opportunity":87},"计算并比较了16类及222种食物在20年和100年时间框架下的碳足迹。","基于生命周期分析，用GWP20和GWP100计算食物碳排放数据库。","GWP20下高低影响食物的碳排放差异显著扩大，单一指标有局限。","农业绿色发展与碳","可探索将GWP20纳入食物政策与机构餐饮决策，弥补短寿命气体影响评估空白。","openalex","2026-10-13T23:30:07.128642Z",{"total":40,"page":21,"page_size":40,"items":91},[92,170,226,281,359,416],{"id":93,"title":94,"url":95,"summary":96,"summary_zh":97,"content":9,"source_name":10,"source_url":95,"published_at":98,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":99,"sources":104,"tags":106,"primary_topic":111,"secondary_topics":116,"classification":117,"search_phrases":150,"slug":153,"view_count":81,"doi":154,"paper":155,"created_at":169},5473,"Can regional value-chain integration decouple China's agri-food export growth from production-side direct CO2 attributed to export domestic value added? Evidence from belt and road partner economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1977325","This study examines whether regional value-chain (RVC) integration can support agri-food export growth while improving the carbon performance of China's export sectors. We build a 2007–2023 bilateral country–industry–year panel for C01 agriculture, forestry, and fishing and C03 food processing across 39 economies currently classified as Belt and Road partners. Asian Development Bank multi-regional input–output tables identify bilateral value-added paths, while Chinese sectoral fossil-energy data and Intergovernmental Panel on Climate Change emission factors are used to measure production-side direct fossil-energy CO 2 attributed to export domestic value added. The analysis combines logarithmic mean Divisia index decomposition, fixed-effects models, an external shift-share instrument, value-chain configuration tests, and a within–between decomposition. Four findings stand out. First, long-run carbon-intensity improvement more than offsets cumulative scale and structural pressures. Second, the baseline fixed-effects and IV estimates show a negative overall association between RVC cooperation and absolute production-side direct CO 2 , and this relationship remains negative in post-2013 samples. Third, within established partner–industry relationships, deeper RVC is significantly associated with lower carbon per unit of exports, while the export-scale and absolute-carbon coefficients are statistically insignificant. Fourth, denser two-way embedment is associated with higher carbon pressure, a more forward-oriented structure with lower carbon, and deep cooperation with a higher carbon association than shallow cooperation. The results suggest that climate-smart agri-food integration should combine production-efficiency gains with forward-oriented domestic value creation and careful monitoring of the scale effects of deeper production networks.","本研究考察区域价值链（RVC）整合能否在促进农食产品出口增长的同时改善中国出口部门的碳绩效。我们构建了2007—2023年双边国家—行业—年份面板数据，涵盖目前被归类为“一带一路”伙伴的39个经济体中的C01农、林、渔业和C03食品加工业。亚洲开发银行多区域投入产出表用于识别双边增加值路径，中国部门化石能源数据和政府间气候变化专门委员会排放因子用于测算出口国内增加值所对应的生产侧直接化石能源CO₂。分析结合了对数平均迪氏指数分解、固定效应模型、外部移动份额工具变量、价值链构型检验以及组内—组间分解。有四項发现尤为突出。第一，长期碳强度的改善足以抵消累积的规模压力和结构压力。第二，基准固定效应和IV估计显示，RVC合作与绝对生产侧直接CO₂总体上呈负相关，且这一关系在2013年之后的样本中仍为负。第三，在既有的伙伴—行业关系中，更深的RVC与单位出口碳含量较低显著相关，而出口规模和绝对碳的系数在统计上不显著。第四，更密集的双向嵌入与更高的碳压力相关，更偏向前的结构与更低的碳相关，深度合作比浅层合作具有更高的碳关联。结果表明，气候智慧型农食一体化应将生产效率提升与偏向前的国内价值创造相结合，并审慎监测更深生产网络的规模效应。","2026-10-20T00:00:00Z",{"impact":100,"substance":18,"depth":101,"authority":19,"freshness":102,"relevant":21,"comment":103},16,19,9,"基于39个一带一路伙伴国2007–2023年面板数据，方法扎实、结论有新意，对农业绿色贸易政策有参考价值，但属学术论文，公共影响有限。",[105],{"name":10,"url":95},[26,107,108,109,110],"一带一路","气候智慧农业","农产品贸易","全球价值链",{"code":48,"slug":112,"name":113,"path":114,"parent_code":115},"climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":118,"locked":14,"version":34,"method":35,"evidence":119},"classified",{"candidates":120,"agricultural_evidence":41},[121,126,133,140,145],{"code":48,"score":122,"supported":41,"title":123,"abstract":124,"tags":125},7,[],[51,52],[108],{"code":127,"score":40,"supported":41,"title":128,"abstract":129,"tags":132},"E1",[],[130,131],"食品加工","food processing",[],{"code":134,"score":135,"supported":41,"title":136,"abstract":137,"tags":139},"D",3,[],[138],"渔业",[],{"code":141,"score":21,"supported":14,"title":142,"abstract":143,"tags":144},"E5",[],[],[109],{"code":146,"score":21,"supported":14,"title":147,"abstract":148,"tags":149},"H4",[],[],[26],[151,152],"中国 农食产品 出口 碳排放","一带一路 区域价值链","中国农食产品出口碳排放-5473","10.3389\u002Ffsufs.2026.1977325",{"doi":154,"openalex_id":156,"authors":157,"venue":10,"cited_by_count":81,"oa_url":95,"card":164,"direction":86,"ingested_from":88},"W7223067445",[158,160,162],{"name":159,"orcid":9},"Kunlin Tang",{"name":161,"orcid":9},"Wei Yang",{"name":163,"orcid":9},"Yuan Huang",{"tldr":165,"method":166,"finding":167,"direction":86,"opportunity":168},"研究区域价值链整合能否使中国农食出口增长与生产侧直接CO2脱钩。","2007–2023年39个一带一路经济体的双边面板，用ADB多区域投入产出表与L","长期碳强度改善抵消规模压力，RVC合作总体降低绝对CO2，但深度双向嵌入会推高碳压力。","可探究前向型国内增加值创造与深度生产网络的规模效应监测机制，识别气候智慧型农食整合路径。","2026-10-21T23:30:07.454815Z",{"id":171,"title":172,"url":173,"summary":174,"summary_zh":9,"content":9,"source_name":175,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":176,"score_detail":177,"sources":181,"tags":183,"primary_topic":188,"secondary_topics":192,"classification":193,"search_phrases":213,"slug":216,"view_count":81,"doi":9,"paper":217,"created_at":225},5360,"国家农业绿色发展试点区对农业碳排放的影响:基于 284 城市 2013-2023 年面板数据","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37540958","研究基于 284 个城市 2013—2023 年面板数据,以国家农业绿色发展试点区(NAGDPZ)为准自然实验,采用双重差分法(DID)系统评估政策对农业碳排放的影响。研究发现:(1)NAGDPZ 政策显著降低农业碳排放,系数为 -0.008(10% 显著);(2)机制分析表明减排效应主要通过农业生产效率提升、数字普惠金融发展和农村创新创业推动;(3)异质性分析显示南方、非粮食主产区、农业金融支持水平较高地区的碳减排效应更显著,系数分别为 -0.008、-.016、-0.015。","《中国环境科学》46(1):555-567 2026",78,{"impact":18,"substance":18,"depth":17,"authority":178,"freshness":179,"relevant":21,"comment":180},14,2,"基于284城市十年面板数据的政策评估，方法规范、结论有新意，但发表时间较早、时效性弱，适合作为研究型精选而非快讯。",[182],{"name":175,"url":173},[184,185,186,26,187],"农业绿色发展","数字普惠金融","双重差分","绿色试点区",{"code":146,"slug":189,"name":190,"path":191,"parent_code":115},"carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",[],{"status":118,"locked":14,"version":34,"method":35,"evidence":194},{"candidates":195,"agricultural_evidence":41},[196,203,208],{"code":146,"score":197,"supported":41,"title":198,"abstract":201,"tags":202},24,[199,200],"碳排放","农业碳",[199,200],[26,184],{"code":204,"score":21,"supported":14,"title":205,"abstract":206,"tags":207},"G3",[],[],[185],{"code":209,"score":21,"supported":14,"title":210,"abstract":211,"tags":212},"H8",[],[],[184],[214,215],"国家农业绿色发展试点区 农业碳排放","284城市 面板数据 碳减排","国家农业绿色发展试点区农业碳排放-5360",{"doi":9,"openalex_id":9,"authors":218,"venue":9,"cited_by_count":81,"oa_url":9,"card":219,"direction":86,"ingested_from":224},[],{"tldr":220,"method":221,"finding":222,"direction":86,"opportunity":223},"基于284城市面板数据，用DID评估国家农业绿色发展试点区对农业碳排放的影响。","284城市2013-2023年面板数据，双重差分法（DID）准自然实验。","试点区政策显著降低农业碳排放，主要通过生产效率、数字普惠金融和农村创新创业实现。","可探究数字普惠金融与绿色试点政策的协同减排机制，及非粮食主产区的差异化政策设计。","agent","2026-10-20T02:47:54.150914Z",{"id":227,"title":228,"url":229,"summary":230,"summary_zh":9,"content":9,"source_name":231,"source_url":9,"published_at":232,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":237,"tags":239,"primary_topic":244,"secondary_topics":245,"classification":246,"search_phrases":269,"slug":272,"view_count":21,"doi":9,"paper":273,"created_at":280},5227,"China's farm digitization reduces agricultural carbon emissions but the relationship is nonlinear (U-shaped)","https:\u002F\u002Fcommonplace.workforcefutures.net\u002Fpaper\u002Fopenalex:W7221809067","Gao、Feng、Yuan、Sun 在 OpenAlex 2026-10-16 索引的最新研究,基于中国31个省份2010—2023年平衡面板数据,采用双向固定效应面板与SEM中介模型,发现农业数字技术通过精准管理与间接融资\u002F绿色创新两条路径降低碳排放,但呈U型非线性,转折点为数字化指数0.540,劳动生产率提升可推迟转折点,数字化在区域、规模、排放来源维度呈现异质性。","OpenAlex W7221809067(2026-10-16)","2026-10-16T00:00:00Z",84,{"impact":18,"substance":235,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":236},23,"基于31省2010—2023年面板数据的全国性实证研究，揭示数字化与农业碳排放的U型关系及0.540转折点，结论新颖且具政策参考价值，值得进入每日精选。",[238],{"name":231,"url":229},[240,241,242,26,243],"数字乡村","智慧农业","农业数字化","绿色创新",{"code":146,"slug":189,"name":190,"path":191,"parent_code":115},[],{"status":118,"locked":14,"version":34,"method":35,"evidence":247},{"candidates":248,"agricultural_evidence":41},[249,254,259,264],{"code":146,"score":250,"supported":41,"title":251,"abstract":252,"tags":253},4,[],[199],[26],{"code":255,"score":179,"supported":14,"title":256,"abstract":257,"tags":258},"I1",[],[],[242,241],{"code":260,"score":21,"supported":14,"title":261,"abstract":262,"tags":263},"I",[],[],[242],{"code":265,"score":21,"supported":14,"title":266,"abstract":267,"tags":268},"I6",[],[],[240],[270,271],"农业数字化 碳排放 U型","数字技术 农业碳减排","农业数字化碳排放U型-5227",{"doi":9,"openalex_id":9,"authors":274,"venue":9,"cited_by_count":81,"oa_url":9,"card":275,"direction":86,"ingested_from":224},[],{"tldr":276,"method":277,"finding":278,"direction":86,"opportunity":279},"基于中国31省2010—2023年面板数据，发现农业数字化与碳排放呈U型非线性关系。","双向固定效应面板模型与SEM中介模型，31省平衡面板数据。","数字化通过精准管理和绿色创新降碳，但存在0.540的U型转折点。","可探究转折点后数字化增碳的机制，及劳动生产率等调节因素如何推迟拐点。","2026-10-18T00:05:30.735414Z",{"id":282,"title":283,"url":284,"summary":285,"summary_zh":286,"content":9,"source_name":10,"source_url":284,"published_at":287,"category":12,"cover_url":9,"hotness":288,"is_selected":14,"score":289,"score_detail":290,"sources":292,"tags":297,"primary_topic":300,"secondary_topics":306,"classification":307,"search_phrases":334,"slug":337,"view_count":81,"doi":338,"paper":339,"created_at":358},5069,"The impact of digital technology on green economies","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1787960","Introduction Digital agriculture is regarded as an important instrument for achieving green economies, with the potential to raise productivity while reducing environmental impacts. This study explores how digitalization in agriculture affects greenhouse gas emissions, pesticide use and productivity. Methods The research uses a mixed-methods design. Quantitative analysis draws on international environmental and economic indicators for approximately 180 countries between 2000 and 2023 (415 country-year observations), combining Spearman correlations, regression models with GDP interaction terms, and K-means cluster analysis. A qualitative case study of digital agriculture in Latin America complements the statistical findings. Results Digital infrastructure is strongly associated with the adoption of agricultural digital technologies, and smart farming investment is associated with better economic performance of the agricultural sector. Investment in digital agriculture shows a positive association with both emissions and pesticide use, while the interaction with GDP is negative and significant. Cluster analysis confirms that countries with higher GDP and stronger digital infrastructure achieve more balanced environmental outcomes. Discussion The environmental benefits of digital agriculture are conditional on economic capacity. In economically advanced settings, digital technologies reduce resource use, waste and emissions; in economically constrained regions, higher output can offset the environmental gains. Digital agricultural transformation therefore offers opportunities for sustainable development, but its success depends on equitable access to digital technologies and on policy support that mitigates the trade-off between productivity and environmental protection.","引言 数字农业被视为实现绿色经济的重要工具，具有提高生产力同时减少环境影响的潜力。本研究探讨农业数字化如何影响温室气体排放、农药使用和生产力。方法 研究采用混合方法设计。定量分析基于约180个国家2000年至2023年的国际环境和经济指标（415个国家-年份观测值），结合斯皮尔曼相关性分析、包含GDP交互项的回归模型以及K均值聚类分析。拉丁美洲数字农业的定性案例研究补充了统计发现。结果 数字基础设施与农业数字技术的采用密切相关，智慧农业投资与农业部门更好的经济表现相关。数字农业投资与排放量和农药使用量均呈正相关，而与GDP的交互项为负且显著。聚类分析证实，GDP较高且数字基础设施较强的国家实现了更平衡的环境结果。讨论 数字农业的环境效益以经济能力为条件。在经济发达环境中，数字技术减少了资源使用、浪费和排放；在经济受限地区，更高的产出可能抵消环境收益。因此，数字农业转型为可持续发展提供了机遇，但其成功取决于数字技术的公平获取以及能够缓解生产力与环境保护之间权衡的政策支持。","2026-10-15T00:00:00Z",25,86,{"impact":18,"substance":235,"depth":101,"authority":178,"freshness":20,"relevant":21,"comment":291},"基于180国2000—2023年面板数据与拉美案例，揭示数字农业环境效益受经济水平制约，方法扎实、结论有政策参考价值。",[293,294],{"name":10,"url":284},{"name":295,"url":296},"Frontiers in Sustainable Food Systems 2026-10-15","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Ffull",[298,241,242,26,299],"数字农业","农药减量",{"code":301,"slug":302,"name":303,"path":304,"parent_code":305},"F4","crop-protection","农药与绿色防控","\u002Ftopic\u002Finputs-equipment\u002Fcrop-protection","F",[],{"status":118,"locked":14,"version":34,"method":35,"evidence":308},{"candidates":309,"agricultural_evidence":41},[310,316,322,326,330],{"code":255,"score":311,"supported":41,"title":312,"abstract":313,"tags":315},12,[],[241,298,314],"digital agriculture",[242,298,241],{"code":301,"score":122,"supported":41,"title":317,"abstract":318,"tags":321},[],[319,320],"农药","pesticide",[299],{"code":39,"score":40,"supported":41,"title":323,"abstract":324,"tags":325},[],[44,45],[],{"code":146,"score":21,"supported":14,"title":327,"abstract":328,"tags":329},[],[],[26],{"code":260,"score":21,"supported":14,"title":331,"abstract":332,"tags":333},[],[],[242],[335,336],"数字农业 温室气体排放","拉丁美洲 数字农业 案例","数字农业温室气体排放-5069","10.3389\u002Ffsufs.2026.1787960",{"doi":338,"openalex_id":340,"authors":341,"venue":10,"cited_by_count":81,"oa_url":351,"card":352,"direction":357,"ingested_from":88},"W7221916400",[342,345,348],{"name":343,"orcid":344},"Botond Géza Kálmán","https:\u002F\u002Forcid.org\u002F0000-0001-8031-8016",{"name":346,"orcid":347},"Zsuzsanna Szeiner","https:\u002F\u002Forcid.org\u002F0000-0003-3051-9674",{"name":349,"orcid":350},"Szilvia Valéria Módosné Szalai","https:\u002F\u002Forcid.org\u002F0009-0005-2164-9014","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1787960\u002Fpdf",{"tldr":353,"method":354,"finding":355,"direction":86,"opportunity":356},"研究约180国2000-2023年数据，分析农业数字化对温室气体排放、农药使用与生产率的影响。","混合方法：Spearman相关、含GDP交互项的回归、K-means聚类，辅以拉","数字农业环境效益取决于经济能力，高GDP国家更均衡，低GDP国家增产抵消环境收益。","可探究不同经济水平下数字农业减排阈值与政策干预机制，关注数字鸿沟对绿色转型的调节作用。","智慧农业 \u002F 农业物联网","2026-10-16T23:30:06.211945Z",{"id":360,"title":361,"url":362,"summary":363,"summary_zh":364,"content":9,"source_name":10,"source_url":362,"published_at":365,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":366,"score_detail":367,"sources":371,"tags":373,"primary_topic":378,"secondary_topics":379,"classification":380,"search_phrases":387,"slug":390,"view_count":81,"doi":391,"paper":392,"created_at":415},4870,"Association of energy poverty, import and export diversification with agricultural sector performance in South Asia","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1749155","This paper examines the association between energy poverty, import diversification, export diversification, and agricultural sector performance in South Asia, while controlling for carbon dioxide emissions from agriculture and employment in agriculture. Using panel data for eight South Asian countries—Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka—covering the period from 2000 to 2023, the study constructs an Energy Poverty Index through Principal Component Analysis based on six energy-related indicators. The Feasible Generalized Least Squares results show that better energy conditions and lower energy poverty are positively associated with agricultural sector performance. In contrast, import diversification and carbon dioxide emissions from agriculture are negatively associated with agricultural sector performance, while export diversification is positively associated with it. Employment in agriculture shows a positive but statistically insignificant association. These findings remain robust when Panel-Corrected Standard Errors and Driscoll–Kraay standard error estimators are applied. Overall, the results suggest that improved energy access, environmentally sustainable agricultural practices, and strategic trade diversification are closely linked to agricultural sector performance in South Asia.","本文考察了南亚地区能源贫困、进口多样化、出口多样化与农业部门绩效之间的关联，同时控制了农业二氧化碳排放和农业就业。研究使用八个南亚国家——阿富汗、孟加拉国、不丹、印度、马尔代夫、尼泊尔、巴基斯坦和斯里兰卡——2000年至2023年的面板数据，基于六项能源相关指标，通过主成分分析构建了能源贫困指数。可行广义最小二乘法（Feasible Generalized Least Squares）结果显示，更好的能源条件和更低的能源贫困与农业部门绩效呈正相关。相比之下，进口多样化和农业二氧化碳排放与农业部门绩效呈负相关，而出口多样化则与其呈正相关。农业就业显示出正相关，但在统计上不显著。在应用面板校正标准误（Panel-Corrected Standard Errors）和Driscoll–Kraay标准误估计量后，这些发现仍然稳健。总体而言，结果表明，改善能源获取、环境可持续的农业实践以及战略性贸易多样化与南亚农业部门绩效密切相关。","2026-10-13T00:00:00Z",72,{"impact":311,"substance":368,"depth":369,"authority":19,"freshness":102,"relevant":21,"comment":370},21,17,"基于南亚八国2000—2023年面板数据的实证研究，方法规范、结论有新意，但属区域学术成果，公共政策影响有限。",[372],{"name":10,"url":362},[26,374,375,376,377],"面板数据","南亚农业","能源贫困","农业贸易",{"code":146,"slug":189,"name":190,"path":191,"parent_code":115},[],{"status":118,"locked":14,"version":34,"method":35,"evidence":381},{"candidates":382,"agricultural_evidence":41},[383],{"code":146,"score":250,"supported":41,"title":384,"abstract":385,"tags":386},[],[199],[26],[388,389],"南亚 能源贫困","南亚 农产品 出口多元化","南亚能源贫困-4870","10.3389\u002Ffsufs.2026.1749155",{"doi":391,"openalex_id":393,"authors":394,"venue":10,"cited_by_count":81,"oa_url":362,"card":410,"direction":86,"ingested_from":88},"W7221619650",[395,398,400,402,404,406,408],{"name":396,"orcid":397},"Abdullah‐Al Mamun","https:\u002F\u002Forcid.org\u002F0000-0002-3251-4271",{"name":399,"orcid":9},"Md. Golam Kibria",{"name":401,"orcid":9},"Farian Tahrim",{"name":403,"orcid":9},"Jeremy Ko",{"name":405,"orcid":9},"Chun Kai Leung",{"name":407,"orcid":9},"Mohammad Ridwan",{"name":409,"orcid":9},"Wai-kit Ming",{"tldr":411,"method":412,"finding":413,"direction":86,"opportunity":414},"研究南亚八国能源贫困、进出口多样化与农业表现的关系。","2000-2023年面板数据，主成分分析构建能源贫困指数，FGLS回归。","能源改善和出口多样化正向关联农业表现，进口多样化和农业碳排放负向关联。","可深入探究能源贫困缓解与农业碳减排的协同机制及南亚区域异质性。","2026-10-14T23:30:06.945702Z",{"id":417,"title":418,"url":419,"summary":420,"summary_zh":421,"content":9,"source_name":422,"source_url":419,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":423,"score_detail":424,"sources":427,"tags":429,"primary_topic":9,"secondary_topics":434,"classification":435,"search_phrases":484,"slug":487,"view_count":21,"doi":488,"paper":489,"created_at":510},4812,"Improving energy efficiency and carbon balance through conservation and precision agriculture with respect to conventional agriculture: a methodological approach","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffagro.2026.1916869","Introduction Conservation Agriculture (CA) is based on three core principles that, at farm scale, imply minimizing soil disturbance through tillage, maintaining a permanent soil cover with residues and diversifying the species in crop rotations. Precision Agriculture (PA) envisages a more efficient use of inputs by reducing the overlaps between machine passes. The combination of both contributes to a more sustainable agricultural system. Methods A four-season study was carried out to assess the energy consumption and carbon balance of a combined CA and PA system. No-tillage (NT) with residue retention and tractor guidance assistance (GA) was compared with conventional tillage (CT) in three annual crops: wheat, sunflower and legumes. To analyse the data obtained, a simple methodological approach was developed to facilitate energy and carbon balance calculations. Results No significant differences were found in yield between systems. NT with GA reduced fuel consumption by around 50%, and the energy parameters studied improved compared with CT. Across crops, energy efficiency relative to CT ranked as follows: sunflower > wheat > legumes. A similar pattern was observed for carbon use efficiency and carbon use productivity. Conclusions The results show the suitability of jointly using CA and PA techniques, such as tractor guidance under NT soil management.","引言 保护性农业（Conservation Agriculture，CA）基于三项核心原则，在农场尺度上即通过耕作最小化土壤扰动、利用残留物保持永久性土壤覆盖，以及通过轮作实现物种多样化。精准农业（Precision Agriculture，PA）则通过减少机具作业重叠来实现投入品的更高效利用。二者的结合有助于构建更可持续的农业系统。方法 本研究开展了为期四季的试验，以评估保护性农业与精准农业联合系统的能耗与碳平衡。研究在三种一年生作物——小麦、向日葵和豆科作物——中，比较了采用残茬保留与拖拉机导航辅助（guidance assistance，GA）的免耕（no-tillage，NT）与常规耕作（conventional tillage，CT）。为分析所获数据，开发了一种简便的方法学框架，以便于能耗与碳平衡的计算。结果 各系统间产量无显著差异。采用导航辅助的免耕使燃料消耗降低约50%，且所研究的各项能量参数较常规耕作均有改善。就各作物而言，相对于常规耕作的能量效率排序为：向日葵 > 小麦 > 豆科作物。碳利用效率和碳利用生产力也呈现类似规律。结论 结果表明，将保护性农业与精准农业技术（如免耕土壤管理下的拖拉机导航）联合应用具有适宜性。","Frontiers in Agronomy",75,{"impact":425,"substance":368,"depth":369,"authority":19,"freshness":102,"relevant":21,"comment":426},15,"四季节田间试验量化免耕加导航对能耗与碳平衡的改善，方法可复用，对智慧农业绿色低碳方向有参考价值。",[428],{"name":422,"url":419},[430,26,431,432,433],"精准农业","保护性农业","碳平衡","免耕",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":436},{"candidates":437,"agricultural_evidence":41,"reason":54},[438,443,450,457,462,468,474,480],{"code":255,"score":425,"supported":41,"title":439,"abstract":441,"tags":442},[440],"precision agriculture",[430,440],[430],{"code":444,"score":40,"supported":41,"title":445,"abstract":446,"tags":449},"A2",[],[447,448],"小麦","wheat",[],{"code":451,"score":40,"supported":41,"title":452,"abstract":453,"tags":456},"H2",[],[454,455],"土壤","soil",[],{"code":209,"score":250,"supported":41,"title":458,"abstract":459,"tags":461},[],[460],"conservation agriculture",[431],{"code":463,"score":135,"supported":41,"title":464,"abstract":465,"tags":467},"A4",[],[466],"向日葵",[],{"code":469,"score":135,"supported":41,"title":470,"abstract":471,"tags":473},"A7",[],[472],"轮作",[],{"code":475,"score":135,"supported":41,"title":476,"abstract":477,"tags":479},"F5",[],[478],"tractor",[],{"code":146,"score":21,"supported":14,"title":481,"abstract":482,"tags":483},[],[],[26],[485,486],"保护性农业 精准农业 碳平衡","免耕 拖拉机导航 能耗","保护性农业精准农业碳平衡-4812","10.3389\u002Ffagro.2026.1916869",{"doi":488,"openalex_id":490,"authors":491,"venue":422,"cited_by_count":81,"oa_url":504,"card":505,"direction":357,"ingested_from":88},"W7221566817",[492,495,498,501],{"name":493,"orcid":494},"Francisco Márquez‐García","https:\u002F\u002Forcid.org\u002F0000-0002-4333-0099",{"name":496,"orcid":497},"Miguel Angel Repullo-Ruibérriz de Torres","https:\u002F\u002Forcid.org\u002F0000-0001-7537-6983",{"name":499,"orcid":500},"Gottlieb Basch","https:\u002F\u002Forcid.org\u002F0000-0002-4696-6287",{"name":502,"orcid":503},"Emilio Jesús González-Sánchez","https:\u002F\u002Forcid.org\u002F0000-0002-8031-6595","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fagronomy\u002Farticles\u002F10.3389\u002Ffagro.2026.1916869\u002Fpdf",{"tldr":506,"method":507,"finding":508,"direction":86,"opportunity":509},"研究免耕结合拖拉机导航的保育与精准农业对能耗和碳平衡的影响。","四季田间试验，比较免耕+导航与常规耕作，计算能耗与碳平衡。","免耕+导航减油耗约50%，能效和碳效率提升，作物间向日葵最优。","可扩展至更多作物和区域，量化长期碳汇与经济效益，优化智能导航策略。","2026-10-13T23:30:10.612877Z"]