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象山县农产品品牌价值评估数据

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浙江省数据知识产权登记平台2025-08-18 更新2025-08-19 收录
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象山县农产品品牌价值评估数据可为农业企业、合作社及地方政府提供品牌建设的科学决策工具。该模型通过系统分析品牌市场表现、消费者认知、产品质量及文化内涵等多维要素,能够客观量化品牌的市场竞争力与溢价能力。其应用可帮助经营主体识别品牌短板,优化营销资源投放,例如针对消费者忠诚度不足的区域加强品牌故事传播,或对品质认可度低的品类强化标准化认证。同时,该模型能促进区域公共品牌与企业自主品牌的协同发展,通过价值对比引导差异化定位,避免同质化竞争。政府部门可依据评估结果制定精准的品牌扶持政策,培育具有全国影响力的农产品品牌集群,最终实现从"卖产品"到"卖品牌"的产业升级,增强农产品市场话语权和可持续发展能力。根据作物类型经过特殊处理后获得作物编码;根据国家知识产权局地理标志备案库数据获得地理标志认证等级Ta;根据区域农业品牌管理系统(如使用该品牌的合作社/企业占比)获得区域公用品牌使用覆盖率(%)Na;根据主流电商平台同品类价格对比(品牌产品均价/普通产品均价×100%)获得电商平台溢价率(%)J3;根据第三方市场调研问卷数据(抽样≥1000份)获得消费者认知度指数Ma;根据省级农产品追溯平台对接完整度(0=无,1=全链条可追溯)获得质量追溯体系完善度J1;根据地方政府工作报告或农业品牌专项审计数据获得年度品牌营销投入强度S;根据省级农业产业化重点龙头企业名录关联产值占比获得龙头企业带动比例(%)J2;根据互联网舆情监测数据(正向评价数/总评价数×100%)获得舆情正向声量占比(%)Ht;所有采集汇总数据通过多因子归一化处理,最终通过线性加权法进行计算:Y=(Tax0.25+Na/100x0.15+J3/100x0.2+Max0.1)x(J1+Sx0.05)x(J2/100x0.1+Ht/100x0.15)x100,最终获得象山县农产品品牌价值评估数值,>=80(领军级),品牌溢价开发:联合金融机构开发品牌质押融资产品,支持龙头企业收购原料基地延伸产业链,文化遗产保护:申报农业文化遗产,建立品牌博物馆及非遗工坊强化文化认同;50-80(优势级),全域防伪溯源:强制使用区块链溯源标签,联合市场监管部门开展线上线下假货专项整治,品类矩阵延伸:基于主品类开发副线产品(如茶品牌延伸茶点、茶妆),覆盖多元消费场景,20-50(成长级),渠道精准渗透:定向入驻盒马/山姆等高势能渠道,配套冷链物流补贴政策,达人孵化计划:培育本土“三农”直播达人,工艺标准化:联合科研机构制定高于国标的生产规程,授权主体标准化。 <20(培育级),品牌基因挖掘:委托专业机构完成品牌文化定位,提炼地域文脉与产品差异化符号,小微主体扶持:可以提供区域品牌免费授权,配套检测费减免、包装设计补贴等政策。

The agricultural product brand value evaluation data of Xiangshan County provides a scientific decision-making tool for agricultural enterprises, cooperatives and local governments for brand construction. This model can objectively quantify the market competitiveness and premium capability of brands by systematically analyzing multi-dimensional factors such as brand market performance, consumer perception, product quality and cultural connotation. Its application can help business entities identify brand shortcomings and optimize marketing resource allocation. For example, they can strengthen the dissemination of brand stories for regions with insufficient consumer loyalty, or enhance standardized certification for categories with low product quality recognition. Meanwhile, this model can promote the coordinated development of regional public brands and enterprise-owned brands, guide differentiated positioning through value comparison, and avoid homogenized competition. Government departments can formulate targeted brand support policies based on the evaluation results, cultivate agricultural product brand clusters with national influence, and finally realize industrial upgrading from "selling products" to "selling brands", enhancing the market discourse power and sustainable development capacity of agricultural products. Crop codes are obtained through special processing based on crop types; the geographical indication certification level Ta is obtained from the data of the National Intellectual Property Administration's geographical indication filing database; the regional public brand usage coverage rate (%) Na is obtained from the regional agricultural brand management system (such as the proportion of cooperatives/enterprises using the brand); the e-commerce platform premium rate (%) J3 is obtained by comparing the prices of the same category on mainstream e-commerce platforms (average price of branded products / average price of ordinary products × 100%); the consumer perception index Ma is obtained from third-party market research questionnaire data (sample size ≥ 1000); the quality traceability system perfection degree J1 is obtained based on the docking completeness of the provincial agricultural product traceability platform (0 = none, 1 = full-chain traceability); the annual brand marketing investment intensity S is obtained from local government work reports or special audit data on agricultural brands; the leading enterprise driving proportion (%) J2 is obtained based on the proportion of associated output value in the provincial key leading agricultural industrialization enterprise directory; the proportion of positive public opinion volume (%) Ht is obtained from Internet public opinion monitoring data (number of positive reviews / total number of reviews × 100%). All collected and aggregated data are processed through multi-factor normalization, and finally calculated using the linear weighting method: $Y=(T_a imes 0.25 + N_a/100 imes 0.15 + J_3/100 imes 0.2 + M_a imes 0.1) imes (J_1 + S imes 0.05) imes (J_2/100 imes 0.1 + H_t/100 imes 0.15) imes 100$, and the agricultural product brand value evaluation value of Xiangshan County is finally obtained: 1. ≥80 (Leading Level): Brand premium development: Jointly develop brand pledge financing products with financial institutions to support leading enterprises in purchasing raw material bases and extending the industrial chain; Cultural heritage protection: Apply for agricultural cultural heritage, establish brand museums and intangible cultural heritage workshops to strengthen cultural identity; 2. 50-80 (Advantage Level): Full-domain anti-counterfeiting traceability: Mandatory use of blockchain traceability labels, jointly carry out special rectification of counterfeit goods online and offline with market supervision departments; Category matrix extension: Develop secondary products based on main categories (such as tea brands extending to tea snacks and tea cosmetics) to cover multiple consumption scenarios; 3. 20-50 (Growth Level): Precise channel penetration: Targeted entry into high-potential channels such as Hema/Sam's Club, supporting cold chain logistics subsidy policies; Influencer incubation program: Cultivate local "agriculture, rural areas and farmers" live stream influencers; Process standardization: Jointly formulate production regulations higher than national standards with scientific research institutions, standardize authorized entities; 4. <20 (Cultivation Level): Brand gene excavation: Entrust professional institutions to complete brand cultural positioning, extract regional context and product differentiation symbols; Small and micro entity support: Provide free authorization of regional brands, supporting policies such as inspection fee reduction and packaging design subsidies.
提供机构:
象山县数据服务中心
创建时间:
2025-07-03
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是象山县的农产品品牌价值评估公共数据,包含1001条记录,每季度更新,采用xlsx格式,涵盖作物编码、地理标志认证等级等11个字段。它通过多因子算法模型量化品牌价值,应用于农业企业和政府的品牌建设决策,支持识别短板、优化营销和制定政策,以提升农产品市场竞争力和产业升级。
以上内容由遇见数据集搜集并总结生成
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