[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-33":3,"related-33":56},{"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":50,"slug":53,"view_count":13,"doi":54,"paper":8,"created_at":55},33,"脱贫地区特色农业产业如何实现可持续价值链升级？来自农业新质生产力视角的实证检验","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1876505\u002Ffull","使用2000—2023年657个脱贫县的15,768个县年观测值，构建农业新质生产力指数与价值链升级指数。双向固定效应、DID与CSDID估计显示农业新质生产力显著推动价值链升级（系数0.1940），Oster遗漏变量敏感性δ≈5.6；'一村一品'示范项目显著强化上述效应；分维度看农业新质生产力对价值增值、加工延伸和市场流通作用更强，对原材料供给不显著；SLX空间模型显示空间相邻县农业新质生产力对本地价值链升级呈显著正向溢出，区域间相互依存明显。",null,"## Abstract\n\n**Introduction:**\n\nAgainst the background of consolidating poverty-alleviation achievements and advancing sustainable rural revitalisation, improving value creation, processing extension, market circulation, supporting services, and resilience has become an important issue for specialty agricultural industries in poverty-alleviated areas.\n\n**Methods:**\n\nUsing a county-level panel of poverty-alleviated counties from 2000 to 2023, this study constructed indices of agricultural new-quality productive forces (AQPF) and specialty agricultural value chain upgrading and examined the relationship between AQPF and sustainable specialty agricultural value chain upgrading.\n\n**Results:**\n\nThe results show that AQPF is significantly associated with the transformation of specialty agricultural industries from single-stage production toward processing extension, circulation support, and value creation. This association is stronger in counties covered by the “One Village, One Product” demonstration program, suggesting a policy-reinforcement effect of platform-based support. Component-level evidence suggests that AQPF is more strongly associated with value-added capacity, processing extension, and market circulation than with all value chain components equally. The SLX-based spatial extension analysis further suggests regional interdependence, indicating that AQPF conditions in spatially connected counties are also positively associated with local value chain upgrading.\n\n**Discussion:**\n\nThese findings offer policy implications for strengthening AQPF, improving sustainable value chain support systems, optimising platform-based policy instruments, and promoting cross-county collaboration for inclusive rural development.\n\n## 1 Introduction\n\nIn September 2023, the concept of “new-quality productive forces” was first advanced during a local inspection tour. Its connotation was systematically explained at the 11th collective study session of the Political Bureau of the CPC Central Committee on 31 January 2024. It was defined as an advanced form of productivity led by innovation and characterised by high technology, high efficiency, and high quality, in line with the new development philosophy. As policy deployment has deepened, the 2025 No. 1 Central Document further proposed to “guide the concentration of advanced production factors through scientific and technological innovation and develop agricultural new-quality productive forces according to local conditions,” embedding the logic of new-quality productive forces directly into the policy framework of agricultural and rural modernisation. In the same year, the CPC Central Committee and the State Council issued the Plan for Accelerating the Building of an Agricultural Powerhouse (2024–2035), which positions agricultural modernisation as a strategic framework for rural work and provides long-term institutional guidance for improving quality and efficiency in agriculture ().\n\nAlthough AQPF originates from recent Chinese policy discourse, its analytical meaning can be connected to several established international theoretical traditions. First, from the perspective of endogenous growth theory, AQPF reflects the role of innovation, knowledge accumulation, and human capital in improving long-term productivity rather than relying only on conventional factor expansion (). Second, from the perspective of agricultural innovation systems, AQPF emphasises the interaction among technology, institutions, market actors, and rural organisations in transforming agricultural production and value creation (; ). Third, from the perspective of technological upgrading and value chain upgrading, AQPF captures the capacity of rural industries to move from primary production toward processing, circulation, branding, and service-support functions (; ). From the perspective of rural transformation, AQPF represents a broader shift from output-oriented agricultural growth to quality-oriented, efficiency-oriented, and resilience-oriented rural development (). Therefore, AQPF is not treated in this study as a purely policy-specific concept, but as a measurable county-level capability for innovation-driven agricultural productivity upgrading. It is generated by the joint improvement of new-type agricultural labourers, modern means of production, technological and financial factor allocation, facility-based production modes, and green low-carbon constraints.\n\nAgainst this macro policy background, poverty-alleviated areas deserve particular attention. The 2021 Opinions of the CPC Central Committee and the State Council on Achieving the Effective Linkage between Consolidating and Expanding Poverty-Alleviation Achievements and Rural Revitalisation established a five-year transition period, emphasised dynamic monitoring and assistance to prevent a return to poverty, and required a shift in policy focus from concentrated poverty alleviation to comprehensive rural revitalization. This policy window means that poverty-alleviated counties must quickly build sustainable and risk-resilient income-generating industrial systems. Otherwise, market fluctuations, factor constraints, and natural disasters may amplify income instability, return-to-poverty risks, and development vulnerability ().\n\nMany poverty-alleviated counties rely on locally distinctive agricultural products as an important industrial foundation for rural revitalisation. However, transforming these products into sustainable sources of income requires more than output expansion or the existence of a local specialty industry. From a value-chain perspective, higher-quality industrial development depends on whether local agricultural products can be connected with value addition, processing extension, organizational coordination, market circulation, and service-support functions (). Therefore, this study does not make a case-level diagnosis of all poverty-alleviated counties. Instead, it examines specialty agricultural value-chain upgrading as a measurable empirical construct, including raw-material supply, value-added capacity, processing extension, organizational carriers, and market circulation ().\n\nThis value-chain perspective is consistent with the broader agricultural value-chain literature. Agricultural value-chain upgrading in developing-country contexts is not limited to output expansion, but is shaped by value addition, chain-network structure, governance mechanisms, market access, and supporting services (). Sustainable food value-chain studies similarly argue that sustainable value chains require attention to value addition, market orientation, actor coordination, and sustainability (). From a rural transformation perspective, value-chain upgrading can improve the market participation and functional position of rural producers by strengthening value addition, actor coordination, market access, and supporting services. Food value-chain transformation also involves not only agricultural production but also processing, storage, logistics, wholesale, retail, and service-related activities (). Therefore, the practical issues examined in this study are translated into a measurable value-chain upgrading framework rather than presented as unsupported case-level diagnoses.\n\nAt the policy-instrument level, the national OVOP demonstration town program provides an observable policy setting for promoting agglomeration, standardisation, scale expansion, branding, and full-chain development in specialty industries. The 12th batch released by the Ministry of Agriculture and Rural Affairs recognised 395 villages and towns and explicitly emphasised the need to “build full industrial chains and promote the integration of primary, secondary, and tertiary industries” (). Since the first batch was announced in 2011, 12 batches have been released, covering 4,182 OVOP demonstration villages and towns across the nation. Therefore, this program represents an important policy environment affecting specialty value chain construction in poverty-alleviated counties and provides an institutional background for multi-period policy evaluation. To provide a visual overview of the empirical setting, [Figure 1](https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1876505\u002Ffull#fig1) presents the geographic distribution of the sampled poverty-alleviated counties, OVOP policy coverage, the spatial concentration of the study sample, and the neighbourhood structure used in the Moran’s I and SLX analyses.\n\nFigure 1\n\nRecent research on agricultural new-quality productive forces (AQPF) has mainly developed in two streams. The first stream constructs evaluation systems and measures regional levels and their evolution, providing a quantitative basis for comparing development levels and sources of regional differences (; ). The second stream examines mechanisms and influencing factors, including income growth and common prosperity, digital-economy empowerment, green transformation, and policy-path optimisation (; ; ). Compared with these studies, direct county-level evidence on value chain upgrading as a process-oriented outcome remains limited, particularly for poverty-alleviated areas, where the governance objectives are to supplement, extend, and strengthen industrial chains. Moreover, few studies combine staggered policy instruments and policy-intensity differences to identify dynamic policy associations and then examine whether such instruments strengthen the impact of AQPF on specialty agricultural value chain upgrading.\n\nResponding to these policy and research gaps, this study focuses on poverty-alleviated counties and constructs a county-level panel for 2000–2023. AQPF is measured from three dimensions: new-type agricultural labourers, new-type agricultural means of production, and new-type agricultural objects and production modes. Specialty agricultural value chain upgrading is measured from five dimensions: raw-material supply, value-added capacity, processing extension, organizational carriers, and market circulation. In terms of empirical strategy, the study starts with a two-way fixed-effects benchmark model, followed by robustness checks, omitted-variable-bias sensitivity analysis, OVOP policy-reinforcement analysis, component-level evidence, and SLX-based spatial extension analysis. The study contributes by translating AQPF into a measurable county-level capability framework and linking it to the process-oriented upgrading of specialty agricultural value chains in poverty-alleviated counties.\n\nTheoretically, this study contributes to the literature by translating the policy concept of AQPF into an internationally understandable analytical framework that links innovation-driven productivity growth, technological upgrading, agricultural innovation systems, and rural value chain transformation. Empirically, it builds a measurable and interpretable link between AQPF and specialty agricultural value chain upgrading in poverty-alleviated counties, offering evidence and policy implications for shifting from project-based support to value chain governance and capability-based empowerment.\n\n## 2 Literature review and hypotheses\n\n### 2.1 Conceptualizing agricultural new-quality productive forces\n\nExisting studies have reached a relatively consistent understanding of agricultural new-quality productive forces. Its essence is not factor accumulation in the traditional sense, but a systematic leap in agricultural production methods, organizational forms, and industrial structures driven by technological innovation, advanced factor agglomeration, and factor recombination. This process aims to unify high efficiency with high quality. Studies on the theoretical origins, core connotations, and upgrading paths emphasise that the formation of AQPF depends on the coordination of technological progress and institutional supply, as well as the continued contribution of digital and green transformation to total factor productivity (; ; ; ; ). Further studies place AQPF within the broader narratives of building an agricultural powerhouse and advancing rural revitalisation, highlighting its strategic role in improving comprehensive grain production capacity, promoting green agricultural development, and advancing common prosperity. They also note that the practical implementation of AQPF is often constrained by factor misallocation, insufficient technology diffusion, and weak industrial-chain coordination (; ).\n\nIn this sense, AQPF can be understood as the agricultural sector expression of innovation-driven productivity transformation. It links the productivity logic of innovation and human capital with the agricultural innovation-system view that technology, institutions, producers, markets, and supporting organisations jointly shape agricultural transformation (; ; ). It also corresponds to the value chain upgrading perspective, because improvements in skills, technology, equipment, finance, and green production conditions can help rural industries move beyond primary production toward processing, coordination, circulation, and higher-value functions (; ; ).\n\n### 2.2 Measurement of agricultural new-quality productive forces\n\nAt the measurement level, existing research generally constructs multidimensional indicator systems and synthesizes composite indices to assess AQPF, thereby identifying regional differences, spatial–temporal patterns, and influencing factors. Some studies have focused on indicator design and level measurement to evaluate the development level and regional gaps of AQPF (; ). Others have examined its spatial–temporal pattern and”agricultural-strengthening effect” from a broader spatial perspective, providing useful references for spatial correlation and spillover analysis ().\n\nStudies also explain why different regions perform differently. These differences are often attributed to technology diffusion, factor mobility, and institutional environments. For example, research on agricultural technology diffusion and regional productivity gaps shows that agricultural technology does not spread automatically or evenly; its spatial diffusion is constrained by market linkages, organizational carriers, and institutional supply (). This provides an important theoretical basis for examining AQPF and its spatial spillovers at the county level.\n\n### 2.3 AQPF and industrial upgrading\n\nA growing body of empirical work has assessed the economic and social effects of AQPF from the perspective of outcome variables. One group of studies focuses on rural industrial revitalisation and finds that AQPF significantly promotes rural industrial revitalisation, with the digital economy potentially serving as a mediating channel and with effects varying across regions and development levels (). Another group extends the analysis to the broader framework of new-quality productive forces and shows that they promote industrial-structure upgrading. Technological innovation may act as a mediator, and the effects may exhibit threshold features or diminishing marginal effects. This suggests that the impact of new-quality productive forces on structural transformation is neither linear nor homogeneous but is shaped by development stages and institutional conditions ().\n\n### 2.4 Value chain upgrading in poverty-alleviated areas\n\nResearch on the transition period after poverty alleviation suggests that the key task is to shift industrial development in poverty-alleviated areas from short-term support toward sustainable endogenous growth mechanisms. This helps reduce the impact of market volatility and risk shocks on stable household income and prevents a return to poverty (). In the field of specialty industry development, case and empirical studies show that the formation of specialty agricultural patterns is usually not a simple expansion of one production stage. Rather, it involves value chain organisation and capability allocation around distinctive product categories, including processing extension, brand cultivation, channel expansion, and service support, thereby strengthening value-added and benefit-sharing mechanisms ().\n\nThis means that value chain upgrading, as a process-oriented outcome variable, better captures the real progress of high-quality industrial development in poverty-alleviated areas. This also suggests that measuring industrial performance only by output growth or a single industry indicator may be limited. From the general logic of industrial chain modernisation, value chain upgrading usually follows a gradual evolutionary path. It depends on the coupled advancement of innovation and industrial chains and requires technological innovation, organizational coordination, and institutional supply to jointly enhance chain capabilities (). Accordingly, explaining specialty agricultural value chain upgrading in poverty-alleviated counties from the perspective of AQPF has clear practical relevance and theoretical grounding.\n\n### 2.5 OVOP and value chain upgrading\n\nIn value chain governance, policy platforms and quality signals are two widely discussed institutional conditions. First, the OVOP demonstration program provides a form of public good and an organizational platform. It may promote specialty industry development through standard systems, brand building, factor agglomeration, and market connections. Existing studies examine its spatial distribution and driving mechanisms, supporting its use as a policy-environment variable in empirical analysis (; ).\n\nSecond, geographical indications (GIs) are regarded as institutional tools that combine quality signalling and territorial embeddedness. They can affect rural development through brand premiums, reputation, and industrial organisation. Evidence from poverty-alleviated counties indicates a significant positive relationship between GI certification and farmers’ income, with possible channels including the entry of processing firms and industrial agglomeration in the region. Digital conditions, such as rural e-commerce and digitally inclusive finance, can further strengthen the income effect (). International evidence also shows that GIs are significantly associated with rural development performance at the regional level (), although their returns are conditional and depend on the degree of territorial embeddedness (). In the digital context, the marketing and consumer interaction mechanisms of GI products are being reshaped (), and online transactions show that external cues such as GIs influence consumer judgment and affect sales and price premiums ().\n\nWhen specialty industries move beyond primary production and extend into processing, logistics, marketing, and service support, household income structures and consumption capacity are more likely to improve in a stable manner. Related channels often include stronger specialisation and agglomeration, the entry of industrial and commercial capital, easier financing constraints, and more non-agricultural employment opportunities.\n\nBased on this literature, several gaps remain. First, research on AQPF has developed a relatively mature conceptual and measurement framework and has accumulated macro-level evidence on rural industrial revitalisation, agricultural modernisation, and industrial-structure upgrading. However, direct measurement and testing of specialty agricultural value chain upgrading as a process-oriented outcome in poverty-alleviated counties remain insufficient. Second, studies on GIs and OVOP have revealed mechanisms of value chain upgrading, but most evaluate single institutional arrangements separately. Few studies place AQPF and platform-based policy environments such as OVOP in a unified framework to test whether they are complementary and how such complementarity is formed. Third, although spatial spillovers and staggered policy implementation have received attention in related fields, they remain underexplored in the context of specia","Frontiers in Sustainable Food Systems · 2026-07-24","2026-07-24T00:00:00Z","论文",10,false,82,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},25,22,18,13,4,1,"论文探讨农业新质生产力对脱贫地区特色农业价值链升级的影响，方法严谨，结论有政策价值，但发表于4天前，时效性略低。",[25],{"name":10,"url":6},[27,28,29,30],"乡村振兴","新质生产力","价值链","一村一品",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"unclassified","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":48,"reason":49},[38,43],{"code":39,"score":22,"supported":14,"title":40,"abstract":41,"tags":42},"G",[],[],[27],{"code":44,"score":22,"supported":14,"title":45,"abstract":46,"tags":47},"J2",[],[],[28],true,"缺少足够的主题证据",[51,52],"新质生产力 一村一品 乡村振兴 价值链","新质生产力 一村一品","新质生产力一村一品乡村振兴价值链-33","10.3389\u002Ffsufs.2026.1876505\u002Ffull","2026-07-28T03:05:27.061134Z",{"total":57,"page":22,"page_size":57,"items":58},6,[59,125,193,240,305,368],{"id":60,"title":61,"url":62,"summary":63,"summary_zh":64,"content":8,"source_name":65,"source_url":62,"published_at":66,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":67,"score_detail":68,"sources":72,"tags":74,"primary_topic":79,"secondary_topics":85,"classification":86,"search_phrases":104,"slug":107,"view_count":108,"doi":109,"paper":110,"created_at":124},5578,"Unlocking digital agriculture through new quality productive forces: nonlinear thresholds and spatial spillovers in China","https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-09510-z","New quality productive forces (NQPF) critically enable agricultural digitisation. Using China as a case study, this paper employs panel data from 284 prefecture-level cities in China from 2011 to 2022. The results show that NQPF has a significant promoting effect on agricultural digital transformation and exhibits positive spatial spillover effects, driving not only local transformation but also the development of surrounding regions. Labour skills and innovation capacity play mediating roles in this process. Notably, the enabling effect of NQPF on agricultural digitisation displays significant regional heterogeneity. Threshold analysis indicates that its promoting effect follows a non-linear pattern, characterised by a double threshold effect. Therefore, the development of NQPF should be accelerated, with emphasis placed on regional coordination and talent cultivation, to promote the sustained and in-depth advancement of agricultural digital transformation in accordance with local conditions.","新质生产力（New Quality Productive Forces, NQPF）对农业数字化具有关键赋能作用。本文以中国为案例，采用2011—2022年中国284个地级市的面板数据。结果表明，新质生产力对农业数字化转型具有显著促进作用，并呈现正向空间溢出效应，不仅推动本地转型，也带动周边地区发展。劳动技能与创新能力在这一过程中发挥中介作用。值得注意的是，新质生产力对农业数字化的赋能效应表现出显著的区域异质性。门槛分析表明，其促进作用呈非线性特征，表现为双重门槛效应。因此，应加快新质生产力发展，注重区域协调与人才培养，因地制宜推动农业数字化转型持续深入推进。","Humanities and Social Sciences Communications","2026-10-21T00:00:00Z",81,{"impact":19,"substance":18,"depth":19,"authority":69,"freshness":70,"relevant":22,"comment":71},14,9,"基于284个地级市面板数据的实证研究，揭示新质生产力对农业数字化的非线性门槛与空间溢出效应，方法规范、结论有政策参考价值，值得进入每日精选。",[73],{"name":65,"url":62},[75,28,76,77,78],"数字农业","空间溢出","区域协调","农业数字化转型",{"code":80,"slug":81,"name":82,"path":83,"parent_code":84},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":87,"locked":14,"version":34,"method":35,"evidence":88},"classified",{"candidates":89,"agricultural_evidence":48},[90,95,100],{"code":80,"score":13,"supported":48,"title":91,"abstract":93,"tags":94},[92],"digital agriculture",[],[78,75],{"code":96,"score":22,"supported":14,"title":97,"abstract":98,"tags":99},"I4",[],[],[76],{"code":44,"score":22,"supported":14,"title":101,"abstract":102,"tags":103},[],[],[28],[105,106],"新质生产力 农业数字化","地级市 面板数据","新质生产力农业数字化-5578",0,"10.1057\u002Fs41599-026-09510-z",{"doi":109,"openalex_id":111,"authors":112,"venue":65,"cited_by_count":108,"oa_url":62,"card":117,"direction":121,"ingested_from":123},"W7221723385",[113,115],{"name":114,"orcid":8},"Qingqing Huang",{"name":116,"orcid":8},"Wenjing Guo",{"tldr":118,"method":119,"finding":120,"direction":121,"opportunity":122},"基于中国284个地级市面板数据，检验新质生产力对农业数字化的促进、空间溢出与门槛效应。","2011—2022年284个地级市面板数据，空间计量与门槛回归，中介效应检验。","新质生产力显著促进农业数字化并具正向空间溢出，存在双门槛非线性效应与区域异质性。","数字乡村与农业信息化","可深入探究新质生产力影响农业数字化的微观机制，以及不同区域门槛条件下的差异化政策路径。","openalex","2026-10-22T11:20:47.354744Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":130,"content":8,"source_name":131,"source_url":128,"published_at":66,"category":12,"cover_url":8,"hotness":13,"is_selected":48,"score":132,"score_detail":133,"sources":136,"tags":138,"primary_topic":143,"secondary_topics":148,"classification":149,"search_phrases":170,"slug":173,"view_count":108,"doi":174,"paper":175,"created_at":192},5551,"The effect of rural tourism on rural prosperity: evidence from China on agricultural labor productivity, incomes, and household food consumption","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1904226","Policy support in China has disproportionately favored rural tourism as a core pillar of rural revitalization. However, its net effect on agricultural labor productivity, rural income, and household consumption remains empirically untested. This study examines how rural tourism expenditure affects these three dimensions of rural prosperity and evaluates alternative policy instruments to maximize developmental benefits. The analysis employs a dynamic autoregressive distributed lag (ARDL) simulation model using annual Chinese data from 1994 to 2023. The findings reveal that an increase in rural tourism expenditure significantly reduces agricultural labor productivity, rural household income, and rural household consumption in both the short run and the long run. A positive shock to rural tourism expenditure similarly generates a negative response across all three outcomes, with the effects persisting over the forecast horizon. These results suggest that the net effect of rural tourism expansion on rural prosperity is consistently negative, challenging the conventional assumption that rural tourism serves as an unconditional driver of rural development. The findings call for conditional tourism subsidies, complementary investments in agricultural capital, and spatially differentiated rural development policies that safeguard agricultural livelihoods while permitting tourism to develop only where it does not displace farming.","中国的政策支持过度倾向于将乡村旅游作为乡村振兴的核心支柱。然而，其对农业劳动生产率、农村收入和家庭消费的净效应尚未得到实证检验。本研究考察乡村旅游支出如何影响农村繁荣的这三个维度，并评估替代性政策工具以最大化发展效益。分析采用动态自回归分布滞后（ARDL）模拟模型，使用1994年至2023年的中国年度数据。研究发现，乡村旅游支出的增加在短期和长期均显著降低农业劳动生产率、农村家庭收入和农村家庭消费。乡村旅游支出的正向冲击同样对上述三项结果产生负向响应，且效应在预测期内持续存在。这些结果表明，乡村旅游扩张对农村繁荣的净效应始终为负，挑战了乡村旅游无条件作为农村发展驱动力的传统假设。研究结果呼吁实施有条件的旅游补贴、对农业资本进行配套投资，以及空间差异化的农村发展政策，在保障农业生计的同时，仅允许旅游业在不挤占农业的地区发展。","Frontiers in Sustainable Food Systems",87,{"impact":18,"substance":134,"depth":19,"authority":69,"freshness":13,"relevant":22,"comment":135},23,"基于1994—2023年中国数据的ARDL实证发现，乡村旅游扩张对农业劳动生产率、农户收入与消费的净效应持续为负，对无条件扶持乡村旅游的政策假设构成有力挑战，值得进入每日精选。",[137],{"name":131,"url":128},[27,139,140,141,142],"农村消费","乡村旅游","农户收入","农业劳动生产率",{"code":144,"slug":145,"name":146,"path":147,"parent_code":39},"G4","rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry",[],{"status":87,"locked":14,"version":34,"method":35,"evidence":150},{"candidates":151,"agricultural_evidence":48},[152,158,164],{"code":144,"score":153,"supported":48,"title":154,"abstract":156,"tags":157},15,[155],"rural tourism",[140,155],[140],{"code":39,"score":13,"supported":48,"title":159,"abstract":160,"tags":163},[],[27,161,162],"农村发展","rural development",[27],{"code":165,"score":21,"supported":48,"title":166,"abstract":167,"tags":169},"G6",[],[168],"rural income",[141],[171,172],"乡村旅游 农业劳动生产率 农户收入","乡村旅游 ARDL 农村消费","乡村旅游农业劳动生产率农户收入-5551","10.3389\u002Ffsufs.2026.1904226",{"doi":174,"openalex_id":176,"authors":177,"venue":131,"cited_by_count":108,"oa_url":186,"card":187,"direction":121,"ingested_from":123},"W7223149969",[178,181,183],{"name":179,"orcid":180},"Jin Liu","https:\u002F\u002Forcid.org\u002F0000-0001-7654-255X",{"name":182,"orcid":8},"Betelhemabraham Geremew",{"name":184,"orcid":185},"Meseret C. Abate","https:\u002F\u002Forcid.org\u002F0000-0002-6486-5607","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1904226\u002Fpdf",{"tldr":188,"method":189,"finding":190,"direction":121,"opportunity":191},"用中国1994-2023年数据检验乡村旅游支出对农业劳动生产率、农村收入与消费的净效应。","动态自回归分布滞后（ARDL）模拟模型，1994-2023年中国年度数据。","乡村旅游支出增加在短期和长期均显著降低农业劳动生产率、农村家庭收入与消费。","可结合县域面板与空间异质性，量化旅游与农业的挤出效应并识别有条件补贴的适用边界。","2026-10-22T11:20:16.227845Z",{"id":194,"title":195,"url":196,"summary":197,"summary_zh":8,"content":198,"source_name":199,"source_url":8,"published_at":66,"category":200,"cover_url":8,"hotness":13,"is_selected":14,"score":201,"score_detail":202,"sources":205,"tags":207,"primary_topic":212,"secondary_topics":216,"classification":217,"search_phrases":235,"slug":238,"view_count":108,"doi":8,"paper":8,"created_at":239},5501,"湖南部署常态化精准帮扶与秋粮收购攻坚战","https:\u002F\u002Fnews.qq.com\u002Frain\u002Fa\u002F20261021A0DV5F00","10月21日湖南省委副书记谢卫江在全省农业农村工作专题会议上要求，今年是推进常态化帮扶的第一年，要落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线；同时紧盯中晚稻集中上市，加快解决送粮排队、仓容不足、轮换不畅问题，以农民「种粮卖得出」为底线打好秋粮收购攻坚战。","湖南日报10月21日讯（全媒体记者 黄晗）21日，省委副书记谢卫江在长沙主持召开全省农业农村工作专题会议，深入学习贯彻习近平总书记关于“三农”工作的重要论述精神，落实省委工作要求，部署常态化帮扶、秋粮收购等工作。\n\n谢卫江指出，做好常态化帮扶和秋粮收购工作，事关不发生规模性返贫致贫、维护国家粮食安全“两条底线”。要深学细悟习近平总书记重要指示精神，深刻认识做好这两项工作的特殊重要性、任务艰巨性、时间紧迫性，把这两项工作摆在当前“三农”工作的突出位置抓紧抓好，以实际行动深刻领悟“两个确立”的决定性意义、坚决做到“两个维护”。\n\n谢卫江强调，今年是推进常态化帮扶的第一年。各级各部门要强化答卷意识，压紧压实责任，持续深化去年中央考核评估反馈问题、省级自查督查发现问题整改，严格对照今年中央考核方案做好自查整改，认真落实30个省级乡村振兴重点帮扶县常态化帮扶机制，坚决守牢不发生规模性返贫致贫底线。\n\n谢卫江强调，面对今年粮食收购复杂形势，当前要紧盯中晚稻集中上市，加快解决好送粮排队、仓容不足、轮换不畅等现实问题，坚决打好秋粮收购攻坚战。要处理好立足当前与着眼长远、市场收购与政府托市、促进流通与确保安全、部门工作与群众利益的关系，以农民“种粮卖得出”为底线，以“卖个好价钱”为目标，长短结合、统筹兼顾，坚决扛牢维护国家粮食安全的政治责任。\n\n谢卫江要求，四季度是全年工作冲刺收官的关键期。各级各部门要对账盘点，统筹抓好秋冬农业生产、农业品牌建设、农田水利和高标准农田建设、农业农村重点工作专项整治等工作，确保“十五五”开局之年圆满收官。","湖南日报 2026-10-21","报道",75,{"impact":18,"substance":19,"depth":153,"authority":203,"freshness":70,"relevant":22,"comment":204},11,"省级专题会议部署防返贫与秋粮收购两条底线，政策信号明确、时效性强，但属常规工作部署，信息增量有限。",[206],{"name":199,"url":196},[27,208,209,210,211],"粮食安全","常态化帮扶","秋粮收购","防止返贫",{"code":165,"slug":213,"name":214,"path":215,"parent_code":39},"rural-integration","帮扶与城乡融合","\u002Ftopic\u002Frural-services\u002Frural-integration",[],{"status":87,"locked":14,"version":34,"method":35,"evidence":218},{"candidates":219,"agricultural_evidence":48},[220,225,229],{"code":165,"score":221,"supported":48,"title":222,"abstract":223,"tags":224},5,[],[209],[209,211],{"code":39,"score":21,"supported":48,"title":226,"abstract":227,"tags":228},[],[27],[27],{"code":230,"score":231,"supported":14,"title":232,"abstract":233,"tags":234},"A8",2,[],[],[210,208],[236,237],"湖南 秋粮收购","湖南 常态化帮扶","湖南秋粮收购-5501","2026-10-22T00:06:58.311020Z",{"id":241,"title":242,"url":243,"summary":244,"summary_zh":245,"content":8,"source_name":246,"source_url":243,"published_at":247,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":248,"score_detail":249,"sources":252,"tags":254,"primary_topic":258,"secondary_topics":264,"classification":265,"search_phrases":284,"slug":287,"view_count":108,"doi":288,"paper":289,"created_at":304},5479,"Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23504407","Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa QajelaPublication year: 2026Publication type: Comparative scientific research article \u002F Preprint Description This scientific article presents a comparative evaluation of five coffee cooperative organizations in Oromia, Ethiopia: Chercher Oda Bultum Farmers Cooperative Union, Homa Multipurpose Farmers Cooperative, Kata Muduga Multipurpose Farmers Cooperative Union, Torban Anfillo Multipurpose Farmers Cooperative Union, and Sadetan Chora Farmers Cooperative Union. The research investigates variability in biological production, institutional organization, processing efficiency, digital traceability, product quality, market participation and financial value realization. The study uses institutional questionnaires, cooperative administrative records and previously developed case assessments, supported by recent international, African and Ethiopian scientific literature. Its integrated analytical framework comprises 18 end-to-end value-chain components, nine value-creation and conversion gates, three institutional levels and the eight-stage Big Win methodology. The comparative results demonstrate significant differences in organizational scale, coffee-growing ecology, farmer registration, geospatial mapping, production measurement, processing infrastructure, quality assurance, certification, export-market participation, financial settlement and digital readiness. The findings also identify common weaknesses in upstream traceability, data consistency, coffee-lot genealogy, processing mass balance, producer-level quality differentiation and verifiable links between commercial transactions and farmer payments. The scientific discussion examines how biological productivity, environmental sustainability, quality conservation, processing efficiency, value addition, buyer acceptance, and realized commercial value depend on reliable institutional coordination and information exchange. The analysis draws on recent research concerning digitalization and sustainability (Hidalgo et al., 2023), Ethiopian coffee traceability and buyer trust (Mbakop et al., 2023), digital traceability capabilities (Tadesse et al., 2024), geographical-origin compliance (Urugo et al., 2025), Ethiopian coffee-quality differentiation (Worku, Astatkie, and Boeckx, 2023), and sustainability performance in southwestern Oromia (Botola, Werke, and Birbirsa, 2026). International institutional frameworks from the International Coffee Organization, UNIDO, FAO, GS1, and ISO inform the proposed approaches to value-chain resilience, circular resource management, digital interoperability, and product traceability. The article proposes an integrated Smart Digital Coffee Value Chain architecture linking market intelligence, genetic resources, nursery development, producer and plot identity, extension services, production, harvesting, aggregation, processing, quality assurance, storage, certification, market contracts, buyer acceptance, financial settlement and feedback. A five-year scientific transformation proposal identifies differentiated improvement priorities for each organization, together with harmonized Business Requirements (BR), Functional Requirements (FR), institutional data dependencies, Key Performance Indicators (KPIs), Key Risk Indicators (KRIs) and corrective and preventive actions. The principal scientific contribution is a comparative framework demonstrating how cooperative organizations with different ecological, institutional, and commercial characteristics can implement a common, interoperable digital value-chain system while following locally appropriate transformation pathways. The study contributes to scientific understanding of cooperative value-chain performance, digital agriculture, institutional coordination, biological and economic efficiency, environmental sustainability and commercial value realization. The findings are based principally on documentary and organizational evidence. Reported performance indicators are distinguished from calculated measures and proposed interventions. Differences in reporting periods, measurement units and data completeness limit direct statistical comparability, while the proposed five-year improvements require implementation and independent evaluation. Keywords Smart Digital Coffee Value Chain; Comparative Scientific Evaluation; Oromia; Ethiopia; Coffee Cooperative Unions; Chercher Oda Bultum; Homa Cooperative; Kata Muduga; Torban Anfillo; Sadetan Chora; Digital Traceability; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Institutional Dependency; Big Win Methodology; Sustainable Coffee Production.","埃塞俄比亚奥罗米亚地区五家咖啡合作社组织的比较科学评估：数字可追溯性、价值转化、制度依赖与五年转型战略\n\n作者：Kedir Nefo Biftu、Kebede Hail、Tadila Tadessa Qajela\n\n出版年份：2026年\n\n出版类型：比较科学研究论文\u002F预印本\n\n描述\n\n本科学论文对埃塞俄比亚奥罗米亚地区五家咖啡合作社组织进行了比较评估：Chercher Oda Bultum农民合作社联盟、Homa多用途农民合作社、Kata Muduga多用途农民合作社联盟、Torban Anfillo多用途农民合作社联盟和Sadetan Chora农民合作社联盟。该研究考察了生物生产、制度组织、加工效率、数字可追溯性、产品质量、市场参与和财务价值实现方面的变异性。研究采用机构问卷、合作社行政记录和先前开发的案例评估，并以近期国际、非洲和埃塞俄比亚科学文献为支撑。其综合分析框架由18个端到端价值链组成部分、九个价值创造与转化关口、三个制度层面和八阶段“大赢”方法组成。比较结果揭示了在组织规模、咖啡种植生态、农民登记、地理空间测绘、生产计量、加工基础设施、质量保证、认证、出口市场参与、财务结算和数字准备度方面存在显著差异。研究结果还识别了上游可追溯性、数据一致性、咖啡批次谱系、加工物料平衡、生产者层面质量分级以及商业交易与农民付款之间可验证联系方面的共同弱点。科学讨论审视了生物生产力、环境可持续性、质量保持、加工效率、价值增值、买方接受度和已实现商业价值如何依赖于可靠的制度协调和信息交换。分析借鉴了近期关于数字化与可持续性（Hidalgo等，2023）、埃塞俄比亚咖啡可追溯性与买方信任（Mbakop等，2023）、数字可追溯能力（Tadesse等，2024）、地理原产地合规（Urugo等，2025）、埃塞俄比亚咖啡质量分级（Worku","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z",59,{"impact":250,"substance":19,"depth":153,"authority":70,"freshness":70,"relevant":22,"comment":251},8,"该研究以埃塞俄比亚咖啡合作社为对象，提出数字价值链框架，方法有一定新意，但属区域性案例研究，对国内三农信息化仅有间接参考价值。",[253],{"name":246,"url":243},[75,29,255,256,257],"合作社","数字溯源","咖啡产业",{"code":259,"slug":260,"name":261,"path":262,"parent_code":263},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","B",[],{"status":87,"locked":14,"version":34,"method":35,"evidence":266},{"candidates":267,"agricultural_evidence":48},[268,274,280],{"code":259,"score":153,"supported":48,"title":269,"abstract":271,"tags":273},[270],"coffee",[272,270],"咖啡",[257],{"code":275,"score":21,"supported":48,"title":276,"abstract":277,"tags":279},"G2",[],[278],"农民合作社",[255],{"code":80,"score":21,"supported":48,"title":281,"abstract":282,"tags":283},[],[92],[75],[285,286],"埃塞俄比亚 咖啡合作社 数字溯源","咖啡产业 数字农业 数字溯源 价值链","埃塞俄比亚咖啡合作社数字溯源-5479","10.5281\u002Fzenodo.23504407",{"doi":288,"openalex_id":290,"authors":291,"venue":246,"cited_by_count":108,"oa_url":243,"card":298,"direction":303,"ingested_from":123},"W7223041235",[292,294,296],{"name":293,"orcid":8},"Kedir Biftu",{"name":295,"orcid":8},"Kebede Hailu",{"name":297,"orcid":8},"Tadila Tadessa Qajela",{"tldr":299,"method":300,"finding":301,"direction":121,"opportunity":302},"比较埃塞俄比亚奥罗米亚五个咖啡合作社的数字化追溯与价值转化差异。","机构问卷、合作社行政记录与案例评估，构建18环节价值链分析框架。","各社在组织规模、数字追溯与支付可验证性差异显著，上游追溯普遍薄弱。","可研究小农户合作社低成本数字追溯与批次谱系方案，打通交易与农户付款的可验证链路。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:09.167175Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":310,"content":8,"source_name":131,"source_url":308,"published_at":311,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":312,"score_detail":313,"sources":315,"tags":317,"primary_topic":320,"secondary_topics":324,"classification":325,"search_phrases":346,"slug":349,"view_count":108,"doi":350,"paper":351,"created_at":367},5368,"The enabling effect of farmers’ cooperatives on the rural collective economy: evidence from China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1971166","Based on panel data from 30 provinces in China covering the period 2015–2023, this paper examines the impact of farmers’ cooperatives on the rural collective economy and the underlying mechanisms. First, a multidimensional evaluation system is constructed to measure the development levels of farmers’ cooperatives and the rural collective economy. Subsequently, baseline regressions are estimated using a two-way fixed-effects model and the instrumental variables approach, while the underlying mechanisms are systematically identified through moderating-effect models, threshold-effect models, spatial econometric models, and dimension-specific tests. The results indicate that, during the study period, the overall development levels of China’s farmers’ cooperatives and the rural collective economy showed distinct temporal evolutionary characteristics. Specifically, the overall development level of farmers’ cooperatives declined slightly, while the rural collective economy maintained steady growth. Baseline regression results show that the development of farmers’ cooperatives has a significant positive promotional effect on the rural collective economy, and this conclusion remains robust after multiple robustness tests and endogeneity treatments. Mechanism analysis reveals that cooperatives primarily exert their empowering effect through two channels: improving operational performance and promoting industrial upgrading, whereas their effects in dimensions such as standardized operation and service scope are not significant. Heterogeneity tests confirm that this promotional effect exhibits marked regional differentiation, being significant only in the eastern regions and not yet manifested in the central and western regions. Further analysis indicates that the agricultural industry growth rate plays a positive moderating role in the process by which cooperatives empower the collective economy; the level of land transfer exhibits a single-threshold effect, with the cooperative’s promotional effect strengthening significantly once the threshold value is exceeded. Moreover, the development of farmers’ cooperatives exhibits significant positive spatial spillover effects, driving the development of the collective economy in neighboring regions through factor mobility and industrial linkages.","基于2015—2023年中国30个省份的面板数据，本文考察了农民合作社对农村集体经济的影响及其作用机制。首先，构建多维评价体系测度农民合作社与农村集体经济的发展水平。随后，采用双向固定效应模型和工具变量法进行基准回归估计，同时通过调节效应模型、门槛效应模型、空间计量模型及分维度检验系统识别其内在机制。结果表明，研究期内中国农民合作社与农村集体经济的整体发展水平呈现明显的时间演变特征。具体而言，农民合作社整体发展水平略有下降，而农村集体经济保持稳定增长。基准回归结果显示，农民合作社发展对农村集体经济具有显著的正向促进作用，且该结论在多重稳健性检验和内生性处理后依然成立。机制分析发现，合作社主要通过提升经营绩效和促进产业升级两条渠道发挥赋能作用，而在规范运营和服务范围等维度上的效应不显著。异质性检验证实，该促进作用呈现明显的区域分化特征，仅在东部地区显著，中西部地区尚未显现。进一步分析表明，农业产业增长率在合作社赋能集体经济的过程中发挥正向调节作用；土地流转水平呈现单一门槛效应，一旦跨越门槛值，合作社的促进作用显著增强。此外，农民合作社发展具有显著的正向空间溢出效应，通过要素流动和产业关联带动邻近地区集体经济发展。","2026-10-19T00:00:00Z",79,{"impact":19,"substance":18,"depth":19,"authority":20,"freshness":250,"relevant":22,"comment":314},"基于30省面板数据的实证研究，方法扎实、结论有新意，对合作社赋能集体经济具政策参考价值。",[316],{"name":131,"url":308},[27,76,318,319,278],"农村集体经济","土地流转",{"code":275,"slug":321,"name":322,"path":323,"parent_code":39},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services",[],{"status":87,"locked":14,"version":34,"method":35,"evidence":326},{"candidates":327,"agricultural_evidence":48},[328,333,338,342],{"code":275,"score":203,"supported":48,"title":329,"abstract":330,"tags":332},[],[319,278,331],"land transfer",[278,319],{"code":96,"score":21,"supported":48,"title":334,"abstract":335,"tags":337},[],[336],"空间计量",[76],{"code":39,"score":22,"supported":14,"title":339,"abstract":340,"tags":341},[],[],[27],{"code":144,"score":22,"supported":14,"title":343,"abstract":344,"tags":345},[],[],[318],[347,348],"农民合作社 农村集体经济","合作社 土地流转 门槛效应","农民合作社农村集体经济-5368","10.3389\u002Ffsufs.2026.1971166",{"doi":350,"openalex_id":352,"authors":353,"venue":131,"cited_by_count":108,"oa_url":361,"card":362,"direction":121,"ingested_from":123},"W7222921695",[354,357,359],{"name":355,"orcid":356},"Miao Qian","https:\u002F\u002Forcid.org\u002F0009-0006-6758-2924",{"name":358,"orcid":8},"Xiuyu Huang",{"name":360,"orcid":8},"Jiaomeng Li","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1971166\u002Fpdf",{"tldr":363,"method":364,"finding":365,"direction":121,"opportunity":366},"基于2015–2023年30省面板数据，检验农民合作社对农村集体经济的促进效应及机制。","双向固定效应模型、工具变量法、调节\u002F门槛\u002F空间计量模型及多维评价体系。","合作社通过提升经营绩效与产业升级显著促进集体经济，效应仅东部显著且有正向空间溢出。","可探究中西部效应缺失原因，并引入数字化指标考察合作社信息化对集体经济的赋能路径。","2026-10-20T23:30:06.525852Z",{"id":369,"title":370,"url":371,"summary":372,"summary_zh":8,"content":373,"source_name":374,"source_url":8,"published_at":8,"category":200,"cover_url":8,"hotness":13,"is_selected":14,"score":375,"score_detail":376,"sources":379,"tags":381,"primary_topic":385,"secondary_topics":390,"classification":391,"search_phrases":418,"slug":421,"view_count":108,"doi":8,"paper":8,"created_at":422},5346,"上海农科院沪翠甜甜瓜在新疆喀什市荒地乡迎来丰收 170 余亩总产量 35 万公斤","http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3.shtml","沪翠甜甜瓜由喀什昆仑盛源农业科技有限公司联合上海市农业科学院研发培育,十分适配喀什种植环境。今年荒地乡共种植该品种甜瓜 170 余亩,总产量 35 万公斤,单棚产量可达 6 吨。采用订单化种植、冷链直发的模式,产品不仅供应喀什、阿克苏、图木舒克等疆内市场,还远销北京、上海、广州等城市。","金秋丰收季，瓜果满枝头\n\n喀什市荒地乡新品种“沪翠甜”甜瓜\n\n迎来集中上市期\n\n大棚内果香四溢、硕果盈枝\n\n![Image 1](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F1-20261014120918567.jpeg)\n\n“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n走进荒地乡果蔬种植大棚，圆润饱满、色泽鲜亮的“沪翠甜”甜瓜挂满藤蔓，长势喜人。农户们忙着采摘、分拣、装车，田间地头处处是丰收忙碌的景象。依托喀什日照充足、昼夜温差大的自然条件，“沪翠甜”甜瓜果肉脆甜、汁水丰盈，兼具耐储存、易运输的优势，市场竞争力突出。\n\n![Image 2](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F2-20261014120935708.jpeg)\n\n汁水充盈、脆甜可口的“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n据了解，“沪翠甜”甜瓜由喀什昆仑盛源农业科技有限公司联合上海市农业科学院研发培育，十分适配喀什种植环境。今年荒地乡共种植该品种甜瓜170余亩，总产量35万公斤。当前全乡甜瓜进入集中采收期，单棚产量可达6吨。采用订单化种植、冷链直发的模式，产品不仅供应喀什疆南农批、阿克苏、图木舒克等疆内市场，还远销北京、上海、广州等城市。\n\n![Image 3](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F3-20261014120951250.jpeg)\n\n打包好的“沪翠甜”甜瓜装车。荒地乡公共文化服务中心 供图\n\n喀什昆仑盛源农业科技有限公司经理王军委说：“我们采用‘企业+农户’合作模式，统一为农户提供优质瓜苗，分阶段做好田间管理技术指导，依靠科学标准化管护，守好甜瓜品质关口。同时加紧布局线上渠道，线上线下同步发力，持续拓宽产品销路，打响品种品牌。”\n\n为不断提升瓜果品质，筑牢产业发展基础，荒地乡组织农技人员对整枝疏果、水肥管控、病虫害防治等环节开展现场指导，全面提升甜瓜标准化种植水平。\n\n![Image 4](http:\u002F\u002Fwww.xjks.gov.cn\u002Fkss\u002Fc107442\u002F202610\u002F3b3e4cafdabd42db9c2cdc8f7501f0e3\u002Fimages\u002F4-20261014121007167.jpeg)\n\n“沪翠甜”甜瓜。荒地乡公共文化服务中心 供图\n\n“我们将持续强化农业技术保障，常态化开展种植技术培训，大力推广标准化种植模式，在提升甜瓜品质的前提下，有序扩大种植规模，把特色瓜果富民产业做实做强，实实在在带动群众稳定增收。”喀什市荒地乡农业发展中心干部周伟豪说。\n\n如今，喀什市荒地乡已形成良种培育、科学种植、技术帮扶、企业带动的完整特色甜瓜产业链。荒地乡将立足本土资源优势，优化农技服务，做强特色瓜果富民产业，以产业兴旺助推群众增收、助力乡村振兴。（喀什市融媒体中心记者：马福志）","喀什市人民政府 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