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全国和区域蔬菜价格走势特征及影响因素
引用本文:杨娟,钱婷婷,郑秀国,赵京音,许叶颖. 全国和区域蔬菜价格走势特征及影响因素[J]. 中国农业大学学报, 2021, 26(2): 188-198
作者姓名:杨娟  钱婷婷  郑秀国  赵京音  许叶颖
作者单位:上海市农业科学院 农业科技信息研究所, 上海 201403; 上海数字农业工程技术研究中心, 上海 201403
基金项目:上海市科技兴农重点攻关课题(沪农科创字(2018)第3-5号);上海市农业科学院卓越团队计划项目(农科创 2017(B-09))
摘    要:以上海蔬菜价格为例,采用时间序列分析和建模方法,研究全国和区域蔬菜价格的走势特征及其影响因素.结果表明:1)1995-2002年全国蔬菜年均价呈缓慢降低走势,2003年开始呈现快速上升走势,2017年以后有所下降,2010-2018年上海蔬菜年均价与全国蔬菜年均价走势一致,但低于全国蔬菜价格水平;2)全国和上海的月均价...

关 键 词:农产品  蔬菜  市场信息  市场价格  价格波动  时间序列分析
收稿时间:2020-05-17

Analysis of the features of vegetable price trend and its influencing factors at national and regional scale in China
YANG Juan,QIAN Tingting,ZHENG Xiuguo,ZHAO Jingyin,XU Yeying. Analysis of the features of vegetable price trend and its influencing factors at national and regional scale in China[J]. Journal of China Agricultural University, 2021, 26(2): 188-198
Authors:YANG Juan  QIAN Tingting  ZHENG Xiuguo  ZHAO Jingyin  XU Yeying
Affiliation:Institute of Agricultural Information Science and Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China; Shanghai Engineer Research Center of Information Technology in Agriculture, Shanghai 201403, China
Abstract:Research on the market information of agricultural products is helpful to adjust the produce and supply to better meet market demand, and the price change of agricultural products is the wind vane reflecting the market situation. The vegetable price trend characteristics and its influencing factors at national and regional scale in China were analyzed. The vegetable price in Shanghai is selected as study object. The result showed that the price of vegetables in China decreased slowly from 1995 to 2002, and it began to rise from 2003, and declined again after 2017. The vegetable prices in Shanghai were consistent with the national vegetable prices, but they are lower than the national vegetable prices during 2010-2018. The monthly and daily vegetable prices in China and Shanghai showed obvious seasonality and irregularity, and the irregular volatility of vegetable prices in Shanghai was higher than that in China. The results of the time series analysis model of vegetables price in China and Shanghai displayed that the price of vegetable in China was highly correlated with the price of the same period over last 3 years and the price in the earlier month of that year, while the price of vegetable in Shanghai was highly correlated with the price of the same period of last 2 years and the price in the earlier 4 months of that year. Among all influencing factors, the national vegetable price and Shanghai vegetable price had higher positive correlation with last year''s price, production cost, consumer price index and per capita disposable income. The results of univariate regression analysis with each factor showed that the vegetable price had the highest relevance with consumer price index. According to the research results, it is suggested to strengthen the research on the market information of agricultural products at the regional level, that is possible for the production management to make the product supply better meet the market demand.
Keywords:agricultural production   vegetable   market information   market price   price volatility   time series analysis
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