摘要
使用CiteSpace文献计量可视化分析软件,选取CNKI中文核心期刊作为数据来源,对2001—2021年805篇猪肉价格研究文献展开分析,梳理和归纳国内猪肉价格研究的特征和发展趋势。研究发现:(1)国内猪肉价格研究可分为4个阶段,即初步萌芽阶段(2001—2006年)、快速发展阶段(2007—2011年)、短期回落阶段(2011—2015年)和稳定发展阶段(2016年至今)。(2)研究群体呈现“小聚集、泛分布”的状况,研究人员之间的合作关系不紧密。(3)研究机构之间合作联系较少,研究多基于机构内部进行。(4)“猪肉价格”“、畜产品”“、饲料价格”等是猪肉价格研究的高频关键词“,猪肉价格”“、生猪价格”“、价格波动”是高中心性关键词,基于此梳理了猪肉价格波动分析、猪肉价格影响因素分析、猪肉价格预测模型等主要研究内容。(5)强度最强的突现词是“环比涨幅”,持续至今的突现词有“中部地区”“、华南地区”“、粮油价格”、“北京市”“、东部地区”,表明猪肉价格波动是该领域的研究热点,且研究具有明显的区域特性。
Using CiteSpace bibliometric visual analysis software,CNKI Chinese core journals were selected as data resources to analyze 805 research papers related to pork prices between 2001 and 2021,and to sort out and summarize the characteristics and development trends of domestic pork price research.The study reveals that:(1)the pork price research in China can be divided into four stages,namely:the initial stage(2001-2006),the rapid development stage(2007-2011),the short-term decline stage(2011-2015)and the stable development stage(2016-present).(2)The research community shows a characteristic of‘small aggregation and general distribution’,and the cooperation between researchers is not strong.(3)There are few collaborative links between research institutions,and research is mostly conducted within internal institutions.(4‘)pork price’,‘livestock products’and‘feed price’are high-frequency keywords for pork price research,and‘pork price’,‘pig prices’and‘price fluctuations’are high-frequency central words.The research on pork price fluctuations analysis,pork prices influencing factors analysis and pork price forecasting models is concluded according to the keywords.(5)The strongest emergent term is‘year-on-year increase’,and the most persistent emergent terms are‘central region’,‘southern China’and‘grain and oil prices’.It demonstrates that pork price volatility is a hot topic of research in this area,and the research has a typical regional characteristic.
作者
凌立文
黄荣熙
黄楚欣
LING Liwen;HUANG Rongxi;HUANG Chuxin(College of Mathematics and Informatics(Software Engineering),South China Agricultural University,Guangzhou 510642;Rural Revitalization Research Institute,South China Agricultural University,Guangzhou 510642;Dongfeng Honda Engine Co.,Ltd.,Guangzhou 510700)
出处
《中国农学通报》
2023年第25期155-164,共10页
Chinese Agricultural Science Bulletin
基金
国家自然科学基金青年项目“数据驱动建模的农产品价格波动分解集成预测方法研究”(72001083)
广东省自然科学基金面上项目“基于图像编码技术和深度学习算法的农产品价格波动预测研究”(2022A1515011612)
华南农业大学大学生创新创业项目“基于文本分析技术的猪肉价格波动智能预测建模”(X202110564090)。
