土豆在各个区域的配送价格浮动区间数据

农业企业或配送平台通过监测土豆在各个区域的市场配送均价及正负浮动值，设定合理的价格浮动区间。当价格超过正浮动阈值时，自动触发与物流供应商的调价谈判或替代路线采购预案；当价格低于负浮动阈值时，启动库存储备机制。该数据可应用于以下四大领域：1.‌行业价格波动预警‌：实时监控区域配送成本变化，预测供需失衡风险（如天气、交通因素）。2.‌政府产业政策制定‌：为农业补贴或区域物流基建规划提供数据支持（如优化生鲜配送网络）。3.‌企业生产计划调整‌：基于配送成本浮动，动态调整种植周期或仓储策略（如高成本期减少远距离供应）。4.‌供应链金融风控评估‌：金融机构利用浮动区间评估贷款风险（如土豆配送价格稳定性作为抵押物价值指标）。1、数据采集：从本公司账册提取本公司关于不同规格的土豆在温州市、台州市各个区县每月当中每日配送价格的最高价与最低价：2、处理数据：将当月每日配送的最低价与最高价分别进行累加，进而得到当月土豆的配送最低价总和（A）与配送最高价总和（B），进一步通过公式（A+B）/2/该月天数得出当月的土豆配送均价（C），再进一步从本公司账册中提取当月土豆的配送最高价（D）与配送最低价（E），根据+浮动值=（D-C）/C*100%以及-浮动值=（E-C）/C*100%公式，计算出+浮动值与-浮动值的大小，从而根据得出的+浮动值与-浮动值确定配送均价的浮动区间（-浮动值~+浮动值）。

Agribusinesses or distribution platforms set reasonable price fluctuation ranges by monitoring the average market distribution price and positive/negative fluctuation values of potatoes across various regions. When the price exceeds the positive fluctuation threshold, automatic price adjustment negotiations with logistics suppliers or alternative route procurement plans will be triggered; when the price falls below the negative fluctuation threshold, the inventory reserve mechanism will be activated.

This dataset can be applied in the following four major fields:
1. Industry Price Fluctuation Early Warning: Real-time monitoring of regional distribution cost changes to predict supply-demand imbalance risks (e.g., weather, traffic factors).
2. Government Industrial Policy Formulation: Providing data support for agricultural subsidy policies or regional logistics infrastructure planning (e.g., optimizing fresh produce distribution networks).
3. Enterprise Production Plan Adjustment: Dynamically adjusting planting cycles or warehousing strategies based on distribution cost fluctuations (e.g., reducing long-distance supply during high-cost periods).
4. Supply Chain Financial Risk Control Assessment: Financial institutions use fluctuation ranges to evaluate loan risks (e.g., taking potato distribution price stability as a collateral value indicator).

1. Data Collection: Extract from the company's account books the highest and lowest daily distribution prices of potatoes of various specifications in all districts and counties under Wenzhou City and Taizhou City for each month.
2. Data Processing: First, sum up the daily lowest and highest distribution prices of the current month respectively to obtain the total monthly lowest distribution price (A) and total monthly highest distribution price (B) of potatoes. Further calculate the monthly average distribution price (C) of potatoes using the formula (A+B)/2 / number of days in the month. Then extract the monthly highest distribution price (D) and lowest distribution price (E) of potatoes from the company's account books again. Calculate the positive fluctuation value and negative fluctuation value according to the formulas: positive fluctuation value = (D-C)/C * 100% and negative fluctuation value = (E-C)/C * 100%. Finally, determine the fluctuation range of the average distribution price (negative fluctuation value ~ positive fluctuation value) based on the calculated positive and negative fluctuation values.

搜集汇总

背景与挑战

背景概述

该数据集记录了土豆在温州市和台州市各个区县的配送价格浮动区间，包含1534条数据，每月更新。它通过计算配送均价和浮动值，提供价格波动信息，应用于农业企业价格预警、政府政策制定、生产计划调整和供应链金融风控，帮助优化配送策略和风险管理。