[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1146":3,"related-1146":50},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":45,"slug":48,"view_count":22,"doi":8,"paper":8,"created_at":49},1146,"数字乡村发展韧性评估:基于浙江省90个县(市、区)的实证研究","https:\u002F\u002Ffsdjournal.org\u002Findex.php\u002Fojs\u002Farticle\u002Fview\u002F324","Frontiers in Sustainable Development 2026年第6卷第8期25日发表论文:基于韧性理论,构建数字乡村发展水平评估框架,应用于浙江省90个县(市、区)。使用2022年统计数据,采用熵权法和综合评价方法测度县级数字乡村韧性。结果显示,浙江省数字乡村韧性存在显著区域差异,高韧性地区主要集中在经济发达的东北部地区,而低韧性地区主要位于西部和山区。基于研究结果,提出增强县级数字乡村韧性和促进区域协调发展的政策建议。",null,"## Authors\n\n*    Yongjia Zhao  School of Public Administration, Sichuan University, Chengdu 610000, China \n\n## DOI:\n\n[https:\u002F\u002Fdoi.org\u002F10.54691\u002Fjjd8xg45](https:\u002F\u002Fdoi.org\u002F10.54691\u002Fjjd8xg45)\n## Keywords:\n\n Digital Rural Areas; Resilience Theory; Zhejiang Province. \n## Abstract\n\nDrawing on resilience theory, this study develops an evaluation framework for assessing the development level of digital rural areas and applies it to 90 counties (districts and county-level cities) in Zhejiang Province. Using statistical data from 2022, the entropy weight method and a comprehensive evaluation approach are employed to measure county-level digital rural resilience. The results reveal significant regional disparities in digital rural resilience across Zhejiang Province. High-resilience areas are primarily concentrated in the economically developed northeastern region, whereas low-resilience areas are mainly located in western and mountainous counties. Based on these findings, this study proposes policy recommendations to enhance county-level digital rural resilience and promote coordinated regional development.\n\n## Downloads\n\nDownload data is not yet available.\n\n## References\n\n[1] Cyberspace Administration of China. (2023). China digital rural development report (2022). [https:\u002F\u002Fwww.cac.gov.cn\u002F2023-03\u002F01\u002Fc_1679309718486615.htm](https:\u002F\u002Fwww.cac.gov.cn\u002F2023-03\u002F01\u002Fc_1679309718486615.htm)\n\n[2] Zeng, Y. W., Song, Y. X., Lin, X. Z., et al. (2021). Several issues concerning digital rural development in China. Chinese Rural Economy, (4), 21 35.\n\n[3] Shen, F. W., & Ye, W. X. (2021). Digital rural development: A strategic choice for high quality rural revitalization. Journal of Nanjing Agricultural University (Social Sciences Edition), 21(5), 41 53.\n\n[4] Wang, S., Yu, N., & Fu, R. (2021). Digital rural development: Mechanisms, practical challenges and implementation strategies. Reform, (4), 45 59.\n\n[5] Xing, Z. J. (2021). The national logic of digital rural development. Journal of Jishou University (Social Sciences), 42(6), 58 68.\n\n[6] Hu, W. W., & Lu, Y. N. (2023). Formation and operation of the digital rural governance community: Evidence from China's first greenhouse village. Journal of Public Management, 20(1), 133 143.\n\n[7] Costopoulou, C., Ntaliani, M., & Karetsos, S. Studying mobile apps for agriculture.\n\n[8] Ding, B. (2022). Digital governance: A new model of village governance in digital rural areas. Journal of Northwest A&F University (Social Sciences Edition), 22(2), 9 15.\n\n[9] Wang, W. B., & Zhao, L. Z. (2023). Digital rural governance transformation: Structural adjustment, functional enhancement and practical path. E Government, (5), 29 37.\n\n[10] Shen, F. W., & Ye, W. X. (2022). Pathways to digital rural development: An exploration based on smart growth theory. Humanities Magazine, (4), 69 80.\n\n[11] Liu, T. Y., & Tian, B. H. (2022). Practical dilemmas and optimization paths of digital rural development from the perspective of governance modernization. Jianghan Tribune, (3), 116 123.\n\n[12] Feng, C. R., & Xu, H. Y. (2021). Practical dilemmas and breakthrough paths for digital rural development. Journal of Yunnan Normal University (Philosophy and Social Sciences), 53(5), 93 102.\n\n[13] Li, L. L., Zeng, Y. W., & Guo, H. D. (2023). Digital rural development: Underlying logic, practical misunderstandings and optimization paths. Chinese Rural Economy, (1), 77 92.\n\n[14] Zhang, H., & Wang, L. (2023). Measurement and promotion paths of digital rural development in western China. East China Economic Management, 37(11), 70 78.\n\n[15] Shen, J. B., & Wang, Y. K. (2019). Evaluation index system of agricultural informatization in China. Transactions of the Chinese Society of Agricultural Engineering, 35(24), 162 172.\n\n[16] Cui, K., & Feng, X. (2020). Indicator system design for the rural digital economy from the perspective of digital rural development. Research of Agricultural Modernization, 41(6), 899 909.\n\n[17] Zhu, H. G., & Chen, H. (2023). Measurement, spatiotemporal evolution and promotion paths of digital rural development in China. Issues in Agricultural Economy, (3), 21 33.\n\n[18] Xu, J. H., Wang, N. Q., & Guo, F. L. (2023). Construction and empirical analysis of an evaluation index system for digital rural development. Statistics & Decision, 39(2), 73 77.\n\n[19] Liu, Q. (2023). Measurement and spatiotemporal evolution of digital rural development: Evidence from Henan Province. Statistics & Decision, 39(9), 85 90.\n\n[20] Chen, T., & Wang, P. (2020). Information divide and digital rural development. E Government, (12), 2 12.\n\n[21] Chen, L., & Fan, Z. Q. (2022). Influencing factors of digital rural development based on the TOE framework: Evidence from 115 counties in Sichuan Province. Western Economic Management Forum, 33(6), 10 17.\n\n[22] Yang, Y. J., Peng, P., He, S., et al. (2024). Regional characteristics and influencing factors of county level digital rural development in Sichuan Province. Journal of Natural Science of Hunan Normal University.\n\n[23] Liu, C. M., Wang, R., & Shao, M. J. (2024). Spatial pattern and driving factors of county level digital rural development in China. Tropical Geography, 44(1), 79 91.\n\n[24] Heijman, W. J. M., & Hagelaar, J. L. F. (2007). Rural resilience as a new development concept. General Information, 383 396.\n\n[25] Sharifi, A. (2016). A critical review of selected tools for assessing community resilience. Ecological Indicators, 66, 629 647.\n\n[26] Wilson, A. G., Hu, Z., & Rahman, S. (2018). Community resilience in rural China: The case of Hu Village, Sichuan Province. Journal of Rural Studies, 60, 130 140.\n\n[27] Tang, R. W., & Guo, W. J. (2018). Evolutionary resilience of rural revitalization and its internal governance logic. Reform, (8), 64 72.\n\n[28] Lei, X. K., & Wang, J. (2020). Paths and strategies for resilience governance in poor rural areas under rural revitalization. Journal of University of Jinan (Social Sciences), 30(1), 92 99.","《Frontiers in Sustainable Development》2026, 6(8)","2026-08-25T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,20,18,12,2,1,"基于浙江省90个县市数据的数字乡村韧性评估，方法严谨，结论有区域差异，但时效性较低。",[25],{"name":10,"url":6},[27,28,29,30],"数字乡村","浙江","韧性","Frontiers in Sustainable Development",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":14,"reason":44},[38],{"code":39,"score":20,"supported":40,"title":41,"abstract":42,"tags":43},"I6",true,[27],[27],[27],"农业相关性需要复核",[46,47],"数字乡村 浙江 韧性 Frontiers in Sustainable Development","数字乡村 浙江","数字乡村浙江韧性FrontiersinSustainableDevelopmen-1146","2026-08-31T00:08:57.260082Z",{"total":51,"page":22,"page_size":51,"items":52},6,[53,104,157,230,295,359],{"id":54,"title":55,"url":56,"summary":57,"summary_zh":8,"content":8,"source_name":58,"source_url":8,"published_at":8,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":59,"score_detail":60,"sources":64,"tags":66,"primary_topic":70,"secondary_topics":76,"classification":77,"search_phrases":89,"slug":92,"view_count":21,"doi":8,"paper":93,"created_at":103},5225,"数字基础设施能否提高农业全要素生产率?——基于浙江智慧农业云平台建设的经验证据","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F174580.html","《河南师范大学学报(哲学社会科学版)》2026年第3期,李荣华、张怡君以浙江智慧农业云平台设立为准自然实验,采用合成控制法系统评估智慧农业云平台对农业全要素生产率的影响,发现平台设立对TFP提升具有稳健且显著的政策效应,同时驱动技术进步与技术效率两个维度的突破。","河南师范大学学报(2026)",74,{"impact":19,"substance":61,"depth":19,"authority":62,"freshness":21,"relevant":22,"comment":63},22,14,"核心期刊论文，以浙江智慧农业云平台为准自然实验，用合成控制法验证数字基础设施对农业TFP的稳健提升效应，方法规范、结论有政策参考价值，但时效性偏弱。",[65],{"name":58,"url":56},[27,67,28,68,69],"智慧农业","农业全要素生产率","合成控制法",{"code":71,"slug":72,"name":73,"path":74,"parent_code":75},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":78,"locked":14,"version":34,"method":35,"evidence":79},"classified",{"candidates":80,"agricultural_evidence":40},[81,85],{"code":71,"score":20,"supported":40,"title":82,"abstract":83,"tags":84},[67],[67],[67],{"code":39,"score":22,"supported":14,"title":86,"abstract":87,"tags":88},[],[],[27],[90,91],"浙江 智慧农业云平台","农业全要素生产率 数字基础设施","浙江智慧农业云平台-5225",{"doi":8,"openalex_id":8,"authors":94,"venue":8,"cited_by_count":95,"oa_url":8,"card":96,"direction":100,"ingested_from":102},[],0,{"tldr":97,"method":98,"finding":99,"direction":100,"opportunity":101},"以浙江智慧农业云平台为准自然实验，评估数字基础设施对农业全要素生产率的影响。","合成控制法，基于浙江智慧农业云平台建设的准自然实验数据。","平台设立对农业TFP提升有稳健显著的政策效应，并驱动技术进步与技术效率双突破。","数字乡村与农业信息化","可延伸研究不同区域数字基础设施对TFP的异质性效应及技术效率提升的微观机制。","agent","2026-10-18T00:05:30.510965Z",{"id":105,"title":106,"url":107,"summary":108,"summary_zh":8,"content":8,"source_name":109,"source_url":8,"published_at":110,"category":111,"cover_url":8,"hotness":13,"is_selected":14,"score":112,"score_detail":113,"sources":118,"tags":120,"primary_topic":124,"secondary_topics":130,"classification":131,"search_phrases":151,"slug":154,"view_count":155,"doi":8,"paper":8,"created_at":156},3216,"浙江率先发布农业新质生产力研究报告——\"三个主维度 十五个子维度\"科学测算 农业科技进步贡献率超过70%持续位居全国第一梯队","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F22\u002F991029245.html","9-22 中国农网报道：9-19 《中国农业农村微观数据观测报告2026》发布会在杭州举行。会上浙江省农业农村现代化研究院、浙江省农业科学院新质生产力智库、浙江省农业农村大数据发展中心、浙江省农业科学院农村发展研究所联合发布《浙江省农业新质生产力研究报告》，《报告》首次系统勾勒出浙江农业新质生产力的发展全貌，构建了\"三个主维度、十五个子维度\"测算体系。截至2025年底，浙江农业科技进步贡献率超过70%，持续位居全国第一梯队，高出全国平均水平约6个百分点。报告还依托追踪调研，以全国万余农户微观样本结合浙江实地案例，提炼出\"均衡协调构筑新优势、区域分工激发新动能、内涵发展彰显新特质\"等三项核心研究发现，提出推进发展浙江农业新质生产力\"八大工程\"路径。","中国农网","2026-09-22T00:00:00Z","报道",83,{"impact":61,"substance":114,"depth":19,"authority":115,"freshness":116,"relevant":22,"comment":117},23,11,9,"省级首次系统发布农业新质生产力测算体系与贡献率数据，信息增量足、时效性强，具备进入每日精选的价值。",[119],{"name":109,"url":107},[27,28,121,122,123],"农业新质生产力","农业科技进步","农业智库",{"code":125,"slug":126,"name":127,"path":128,"parent_code":129},"J2","modernization","农业强国与现代化","\u002Ftopic\u002Fpolicy\u002Fmodernization","J",[],{"status":78,"locked":14,"version":34,"method":35,"evidence":132},{"candidates":133,"agricultural_evidence":40},[134,140,147],{"code":125,"score":135,"supported":40,"title":136,"abstract":137,"tags":139},5,[],[138],"农业农村现代化",[121,122],{"code":141,"score":142,"supported":40,"title":143,"abstract":144,"tags":146},"G",3,[],[145],"农村发展",[],{"code":39,"score":22,"supported":14,"title":148,"abstract":149,"tags":150},[],[],[27],[152,153],"浙江 农业新质生产力 研究报告","浙江 农业科技进步贡献率 70%","浙江农业新质生产力研究报告-3216",4,"2026-09-23T00:04:29.292416Z",{"id":158,"title":159,"url":160,"summary":161,"summary_zh":162,"content":8,"source_name":163,"source_url":160,"published_at":164,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":165,"score_detail":166,"sources":169,"tags":171,"primary_topic":176,"secondary_topics":180,"classification":181,"search_phrases":207,"slug":210,"view_count":95,"doi":211,"paper":212,"created_at":229},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":19,"substance":61,"depth":19,"authority":167,"freshness":116,"relevant":22,"comment":168},13,"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[170],{"name":163,"url":160},[27,172,173,174,175],"数字素养","共同富裕","农民收入","收入不平等",{"code":39,"slug":177,"name":178,"path":179,"parent_code":75},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":78,"locked":14,"version":34,"method":35,"evidence":182},{"candidates":183,"agricultural_evidence":40},[184,190,197,202],{"code":39,"score":185,"supported":40,"title":186,"abstract":187,"tags":189},8,[],[27,188],"digital village",[27,172],{"code":191,"score":51,"supported":40,"title":192,"abstract":193,"tags":196},"G6",[],[194,195],"农户收入","rural income",[],{"code":141,"score":142,"supported":40,"title":198,"abstract":199,"tags":201},[],[200],"rural development",[],{"code":203,"score":22,"supported":14,"title":204,"abstract":205,"tags":206},"G4",[],[],[173],[208,209],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":211,"openalex_id":213,"authors":214,"venue":163,"cited_by_count":95,"oa_url":160,"card":223,"direction":100,"ingested_from":228},"W7223105459",[215,218,221],{"name":216,"orcid":217},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":219,"orcid":220},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":222,"orcid":8},"Fangping Cao",{"tldr":224,"method":225,"finding":226,"direction":100,"opportunity":227},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","openalex","2026-10-22T11:20:47.675827Z",{"id":231,"title":232,"url":233,"summary":234,"summary_zh":235,"content":8,"source_name":236,"source_url":233,"published_at":164,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":237,"score_detail":238,"sources":242,"tags":244,"primary_topic":8,"secondary_topics":249,"classification":250,"search_phrases":279,"slug":282,"view_count":95,"doi":283,"paper":284,"created_at":294},5545,"Regional digital finance and food supply-chain management resilience: evidence on the regional-to-firm conversion gap in China’s emerging listed food enterprises","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948192","Food supply chains face climate shocks, logistics disruption, food-safety incidents and volatile demand, yet the relevance of regional digital finance for firm-level resilience remains uncertain. This study examines the association between a province-level digital-finance environment and an accounting-based food supply-chain resilience proxy among emerging listed food enterprises in China. Using public data for 122 eligible firms, we construct annual resistance, recovery and stability measures from revenue, operating cash flow and net margin; the common two-way fixed-effects sample contains 732 firm-year observations from 119 firms during 2017–2023. Regional digital finance is measured as a province-level external financial environment rather than firm-level digital transformation or adoption. Operational capability and regional consumption capacity are accounting- and province-level proxies and do not directly observe supplier coordination, traceability, cold-chain performance, or product-level demand. The preferred estimate is close to zero [beta = −0.005, SE = 0.063, 95% CI (−0.128, 0.117)]. Alternative covariance estimators, outcome definitions and timing specifications do not establish a stable positive within-firm association. The proxy-based operational-capability pathway and the conditional consumption-capacity association are likewise not established. Equivalence tests at 0.05 and 0.10 SCR-standard-deviation bounds are not significant, and the approximate 80% minimum detectable effect is 1.575 SCR standard deviations. The evidence therefore cannot distinguish a small contextual association from limited within-firm statistical precision. The findings support a bounded regional-to-firm conversion interpretation: regional finance may widen resource availability, but whether it is associated with resilience depends on unobserved operational conversion routines and food-sector coordination conditions.","食品供应链面临气候冲击、物流中断、食品安全事件和需求波动，但区域数字金融与企业层面韧性之间的关联仍不确定。本研究考察省级数字金融环境与中国新兴上市食品企业基于会计的食品供应链韧性代理指标之间的关联。利用122家合格企业的公开数据，我们从营业收入、经营现金流和净利润率构建年度抵抗能力、恢复能力和稳定性指标；共同双向固定效应样本包含2017—2023年间119家企业的732个企业—年度观测值。区域数字金融被衡量为省级外部金融环境，而非企业层面的数字化转型或采用。运营能力和区域消费能力为会计层面和省级层面的代理变量，并不直接观测供应商协调、可追溯性、冷链绩效或产品层面需求。首选估计值接近于零[beta = −0.005，SE = 0.063，95% CI（−0.128，0.117）]。替代协方差估计量、结果定义和时序设定均未能确立稳定的企业内正向关联。基于代理变量的运营能力路径和条件性消费能力关联同样未能确立。在0.05和0.10个SCR标准差边界上的等价性检验不显著，约80%的最小可检测效应为1.575个SCR标准差。因此，证据无法区分微小的情境性关联与有限的企业内统计精度。研究结果支持有界的情境到企业转化解释：区域金融可能拓宽资源可得性，但其是否与韧性相关联取决于未观测到的运营转化惯例和食品行业协调条件。","Frontiers in Sustainable Food Systems",69,{"impact":185,"substance":239,"depth":240,"authority":167,"freshness":13,"relevant":22,"comment":241},21,17,"基于122家上市食品企业的严谨实证研究，发现区域数字金融与企业韧性关联接近于零，对数字乡村金融政策有边界性提示价值，但属细分学术结论，公共影响有限。",[243],{"name":236,"url":233},[27,245,246,247,248],"数字金融","供应链韧性","农业企业","食品供应链",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":251},{"candidates":252,"agricultural_evidence":14,"reason":44},[253,259,265,270,275],{"code":254,"score":142,"supported":40,"title":255,"abstract":256,"tags":258},"E3",[],[257],"冷链",[],{"code":260,"score":142,"supported":40,"title":261,"abstract":262,"tags":264},"E4",[],[263],"食品安全",[],{"code":266,"score":22,"supported":14,"title":267,"abstract":268,"tags":269},"G2",[],[],[247],{"code":271,"score":22,"supported":14,"title":272,"abstract":273,"tags":274},"G3",[],[],[245],{"code":39,"score":22,"supported":14,"title":276,"abstract":277,"tags":278},[],[],[27],[280,281],"区域数字金融 食品供应链韧性","中国上市食品企业 供应链韧性","区域数字金融食品供应链韧性-5545","10.3389\u002Ffsufs.2026.1948192",{"doi":283,"openalex_id":285,"authors":286,"venue":236,"cited_by_count":95,"oa_url":233,"card":289,"direction":100,"ingested_from":228},"W7223086503",[287],{"name":288,"orcid":8},"Jieyu Zhao",{"tldr":290,"method":291,"finding":292,"direction":100,"opportunity":293},"检验省级数字金融环境与中国新兴上市食品企业供应链韧性之间的关系。","基于122家上市食品企业2017–2023年公开数据，构建双向固定效应模型与等价","区域数字金融与企业供应链韧性无稳定正相关，估计值接近零且不显著。","可研究区域金融资源如何经企业运营惯例转化为供应链韧性，并补充冷链、溯源等微观数据。","2026-10-22T11:20:15.297878Z",{"id":296,"title":297,"url":298,"summary":299,"summary_zh":8,"content":8,"source_name":300,"source_url":8,"published_at":301,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":165,"score_detail":302,"sources":304,"tags":306,"primary_topic":311,"secondary_topics":316,"classification":317,"search_phrases":347,"slug":350,"view_count":95,"doi":8,"paper":351,"created_at":358},5538,"互联网接入如何影响农户绿色生产行为：来自河南的证据","https:\u002F\u002Feconpapers.repec.org\u002Farticle\u002Fcaajnlage\u002Fv_3a72_3ay_3a2026_3ai_3a9_3aid_3a351-2025-agricecon.htm","基于河南农村观察点2009至2022年面板数据，研究发现互联网接入使农户化肥与农药支出分别下降13.3%和16.3%，通过提升信息可及性、技术学习效率与市场联结发挥作用。异质性上，教育程度高、机械化水平高、经营规模较大、健康、年龄较轻、决策集中以及位于城郊、贫困村与传统村的农户效应更明显。","Agricultural Economics 2026-10-20","2026-10-20T00:00:00Z",{"impact":19,"substance":61,"depth":19,"authority":62,"freshness":185,"relevant":22,"comment":303},"基于河南2009—2022年面板数据的实证研究，量化互联网接入对化肥农药减量的因果效应，数据扎实、结论可靠，对数字乡村与绿色转型政策有参考价值。",[305],{"name":300,"url":298},[27,307,308,309,310],"河南","绿色生产","农户行为","互联网接入",{"code":312,"slug":313,"name":314,"path":315,"parent_code":8},"F","inputs-equipment","农业投入品与装备","\u002Ftopic\u002Finputs-equipment",[],{"status":318,"locked":14,"version":34,"method":35,"evidence":319},"partial",{"candidates":320,"agricultural_evidence":40,"reason":346},[321,327,333,337,342],{"code":322,"score":142,"supported":40,"title":323,"abstract":324,"tags":326},"F4",[],[325],"农药",[],{"code":328,"score":142,"supported":40,"title":329,"abstract":330,"tags":332},"F5",[],[331],"机械化",[],{"code":266,"score":22,"supported":14,"title":334,"abstract":335,"tags":336},[],[],[309],{"code":338,"score":22,"supported":14,"title":339,"abstract":340,"tags":341},"H8",[],[],[308],{"code":39,"score":22,"supported":14,"title":343,"abstract":344,"tags":345},[],[],[27],"一级领域明确，二级方向需要细分",[348,349],"河南 农户 互联网接入 化肥农药","互联网接入 绿色生产 面板数据","河南农户互联网接入化肥农药-5538",{"doi":8,"openalex_id":8,"authors":352,"venue":8,"cited_by_count":95,"oa_url":8,"card":353,"direction":100,"ingested_from":102},[],{"tldr":354,"method":355,"finding":356,"direction":100,"opportunity":357},"基于河南面板数据，研究互联网接入对农户绿色生产行为的影响。","河南农村观察点2009-2022年面板数据，实证分析互联网接入与化肥农药支出的关","互联网接入使化肥和农药支出分别下降13.3%和16.3%，通过信息可及性、技术学习和市场联结起作用。","可探究互联网影响绿色生产的长期动态与作用机制，并关注异质性群体的差异化干预策略。","2026-10-22T00:07:10.263484Z",{"id":360,"title":361,"url":362,"summary":363,"summary_zh":8,"content":364,"source_name":365,"source_url":8,"published_at":164,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":366,"score_detail":367,"sources":369,"tags":371,"primary_topic":376,"secondary_topics":380,"classification":381,"search_phrases":392,"slug":395,"view_count":396,"doi":8,"paper":397,"created_at":404},5537,"农业产业园促进小农户融入数字化供应链：协同机制与制度逻辑","https:\u002F\u002Fkyy.nwafu.edu.cn\u002Fkjjz\u002Fxdkjjz\u002F557ffd662c8e4af98e46fbf90f35d91f.htm","西北农林科技大学阮俊虎教授团队联合德国哥廷根大学于晓华教授，以大荔县国家现代农业产业园等为典型案例，从交易成本理论出发围绕技术赋能、组织整合、规则治理与价值分配四个机制开展案例内分析与跨案例比较，揭示农业产业园作为中国特色制度平台促进小农户融入数字化供应链的深层逻辑。","近日，经济管理学院“数智农业运营管理团队”阮俊虎教授联合德国哥廷根大学于晓华教授在《中国农村经济》发表题为“农业产业园促进小农户融入数字化供应链：协同机制与制度逻辑”的研究论文，通过多案例研究揭示农业产业园促进小农户融入数字化供应链的协同机制，并阐释机制形成与运行的制度逻辑。博士研究生刘晨欢为第一作者，阮俊虎教授为通讯作者，王月博士和于晓华教授为合作学者。\n\n数字技术正深刻重构农产品供应链格局，大型电商平台等供应链核心主体加速构建覆盖生产源头至消费终端的数字化供应链体系，该体系不仅体现为数字技术在生产、销售、物流等环节的应用，更强调不同环节与经营主体之间的系统协同与数据贯通，小农户亟须有效融入数字化供应链以应对市场竞争格局的深刻变化。然而，“大国小农”国情农情下，小农户经营规模较小、土地细碎化程度较高，难以独立对接数字化、规模化的现代供应链体系。促进小农户深度融入数字化供应链，进而实现小农户和现代农业发展有机衔接，成为农业现代化进程中值得关注的重要议题。农业产业园作为区域农业发展的综合性制度平台，兼具资源集聚、组织协同与制度保障三重优势，能够为地方政府及园区经营管理主体协同整合制度资源并协调多元主体关系提供平台支撑，但将资源集聚、组织协同和制度供给优势转化为小农户融入数字化供应链的现实能力，其内在机理尚未得到系统性揭示。\n\n本文立足“农业产业园促进小农户融入数字化供应链的内在机理”这一科学问题，从交易成本理论出发，以大荔县国家现代农业产业园等为典型案例，围绕技术赋能、组织整合、规则治理和价值分配四个机制开展案例内分析与跨案例比较分析，揭示不同园区作用机制的共性、差异及情境适配特征，并从制度层面阐释农业产业园作为中国特色制度平台，促进小农户融入数字化供应链的深层逻辑。研究旨在为农业经营呈现小规模、分散化特征的国家和地区促进小农户和现代农业发展有机衔接提供理论参考与实践借鉴。\n\n该研究得到国家社会科学基金重大项目“我国农产品供应链数字化转型的发展战略与实施路径研究”（23&ZD123）的资助。\n\n论文链接：\n\n[https:\u002F\u002Fzgncjj.ajcass.com\u002F?jumpnotice=201606270007#\u002FissueDetail?contentId=123722&year=2026&issue=10&title=%E5%BD%93%E6%9C%9F%E7%9B%AE%E5%BD%95](https:\u002F\u002Fzgncjj.ajcass.com\u002F?jumpnotice=201606270007#\u002FissueDetail?contentId=123722&year=2026&issue=10&title=%E5%BD%93%E6%9C%9F%E7%9B%AE%E5%BD%95)\n\n编辑：张晴 终审：刘玉峰","中国农村经济 2026-10-21",82,{"impact":19,"substance":61,"depth":19,"authority":17,"freshness":116,"relevant":22,"comment":368},"核心期刊论文，多案例揭示农业产业园促进小农户融入数字化供应链的协同机制与制度逻辑，理论新意足、政策参考价值高，值得进入每日精选。",[370],{"name":365,"url":362},[27,372,373,374,375],"小农户","制度逻辑","数字化供应链","农业产业园",{"code":266,"slug":377,"name":378,"path":379,"parent_code":141},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":78,"locked":14,"version":34,"method":35,"evidence":382},{"candidates":383,"agricultural_evidence":40},[384,388],{"code":266,"score":20,"supported":40,"title":385,"abstract":386,"tags":387},[372],[372],[372],{"code":39,"score":22,"supported":14,"title":389,"abstract":390,"tags":391},[],[],[27],[393,394],"农业产业园 小农户 数字化供应链","大荔县 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