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| 猪肉价格的时空分布格局和影响因素分析 | |
| 引用本文： | 顾静秋,彭程,吴华瑞,吴建寨.猪肉价格的时空分布格局和影响因素分析[J].浙江农业学报,2018,30(5):872. |
| 作者姓名： | 顾静秋 彭程 吴华瑞 吴建寨 |
| 作者单位： | 1.北京交通大学 计算机与信息技术学院,北京100044; 2.北京农业信息技术研究中心,北京 100097; 3.国家农业信息化工程技术研究中心,北京 100097; 4.农业部农业信息技术重点实验室,北京 100097; 5.中国农业科学院 农业信息研究所,北京 100081 |
| 基金项目： | 国家自然科学基金(41501418); 中国农业农业科学院基本科研业务费院级统筹项目(Y2016PT30) |
| 摘 要： | 以2005-2014年30个省份的猪肉价格为研究对象,采用空间统计学中单变量全局空间自相关分析研究猪肉价格的时空分布格局,利用双变量全局空间自相关分析方法研究猪肉价格与供给、需求、成本3方面11个影响因素的时空耦合关系。研究结果表明,在时空关系方面,2005-2008年猪肉价格总体上呈地区间的显著正相关性,2008年之后相关性减弱,猪肉价格的空间差异较大;影响因素方面,猪肉价格与成本因素的生猪价格、仔猪价格、玉米价格呈较强的正相关性。 |
| 关 键 词： | 猪肉价格 影响因素 空间格局 空间自相关 双变量空间自相关 |
| 收稿时间： | 2017-09-07 |
Spatial-temporal distributions of pork price and its influencing factors analysis |
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| GU Jingqiu,PENG Cheng,WU Huarui,WU Jianzhai.Spatial-temporal distributions of pork price and its influencing factors analysis[J].Acta Agriculturae Zhejiangensis,2018,30(5):872. | |
| Authors: | GU Jingqiu PENG Cheng WU Huarui WU Jianzhai |
| Institution: | 1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China; 2. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China; 3. National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; 4. Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China; 5.Agricultrual Information Institute of CAAS, Beijing 100081, China |
| Abstract: | In this paper, pork prices in 30 provinces from 2005 to 2014 are analyzed for exploring spatial and temporal distribution pattern and the coupling relationship between pork price and 11 influencing factors of supply, demand and cost. The results showed that pork prices showed a significant positive correlation between provinces from 2005 to 2008. After 2008, the correlation decreased and there was a significant difference in spatial distribution. In terms of influencing factors, the pork price was positively correlated with the price of pig, piglet and corn. |
| Keywords: | pork price influencing factors spatial pattern spatial autocorrelation bivariate spatial autocorrelation |
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