山药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山药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（如山药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山药在温州市、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，进而得到当月山药的配送最低价总和（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山药配送均价（C），再进一步从本公司账册中提取当月山药的配送最高价（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）。

Agricultural enterprises or distribution platforms set reasonable price fluctuation ranges by monitoring the market distribution average price and positive/negative fluctuation values of Chinese yams across various regions. When the price exceeds the positive fluctuation threshold, it automatically triggers price adjustment negotiations with logistics suppliers or alternative route procurement plans; when the price falls below the negative fluctuation threshold, the inventory reserve mechanism is activated.

This dataset can be applied in the following four major fields:
1. Industry Price Fluctuation Warning: Real-time monitoring of regional distribution cost changes to predict risks of supply and demand imbalance (such as weather and traffic factors).
2. Government Industrial Policy Formulation: Providing data support for agricultural subsidy or regional logistics infrastructure planning (e.g., optimizing fresh produce distribution networks).
3. Enterprise Production Plan Adjustment: Dynamically adjusting planting cycles or storage 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 the fluctuation range to evaluate loan risks (e.g., taking the stability of Chinese yam distribution prices as a collateral value indicator).

1. Data Collection: Extract the highest and lowest daily distribution prices of Chinese yams of different specifications from the company's account books for each district and county in Wenzhou City and Taizhou City within each month:

2. Data Processing: Accumulate the daily lowest and highest distribution prices of the current month separately to obtain the total monthly lowest distribution price (A) and total monthly highest distribution price (B) of Chinese yams. Further calculate the monthly average distribution price (C) of Chinese yams using the formula (A+B)/2 / number of days in the month. Then extract the monthly highest distribution price (D) and monthly lowest distribution price (E) of Chinese yams 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 distribution average 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

该数据集记录了山药在温州市和台州市各区县的配送价格浮动区间，包含1537条数据，每月更新，涵盖月份、区域、规格和价格指标（如均价、浮动值）。其特点在于通过算法计算价格浮动，支持农业企业和平台进行价格预警、政策制定和供应链风控，适用于批发零售行业。