基于大数据的微观宏观行为综合分析

项目名称： 基于大数据的微观宏观行为综合分析

项目编号： No.91546118

项目类型： 重大研究计划

立项/批准年度： 2016

项目学科： 宏观管理与政策

项目作者： 田立新

作者单位： 江苏大学

项目金额： 43万元

中文摘要： 本项目研究大数据分析的新理论和新方法，给出处理大数据宏观行为微观行为的响应云空间及云滴的新的理论体系。利用新理论及方法体系对经济市场价格大数据CPI、PPI、PMI进行行为分析，并应用于煤炭、原油、天然气三类能源价格波动规律分析及能源价格演化行为。理论与实证结合，形成基于大数据的微观宏观行为综合分析理论。构建大数据下信息传输的响应云空间新体系，形成揭示大数据中微观宏观行为演化分析新机制，提出大数据下的综合评价体系。基于衡量市场价格的三类典型经济市场价格大数据CPI、PPI、PMI，构建包含信息传输的数据波动网络，提出基于大数据的复杂网络的宏观行为及微观行为的最优模型。提出特征市场和市场虹吸现象的新理论，构建基于大数据的市场价格行为分析新理论，分析大数据下的市场价格指数动力学演化特征。研究能源价格市场的特征市场，建立大数据下的能源价格指数体系，研究大数据量化下的微观能源价格响应云理论。

中文关键词： 大数据；能源价格；能源市场；消费价格指数；响应云空间

英文摘要： This subject studies new theories and new methods for the analysis of big data, and introduces the new theory system of response cloud space and cloud droplets handling big data macroscopic behavior and microscopic behavior. This subject uses the new theories and the new methods to analyze the behaviors of big data for economic market price ,such as CPI, PPI and PMI, and applies them to three kinds of energy price volatility regular analysis and energy price forecast of coal, crude oil, natural gas.Combining theoretical and empirical, we construct new system of respond cloud space for information transmission under big data, format a new mechanism of evolutionary analysis of revealing microscopic and macroscopic behavior of big data, suggest comprehensive evaluation system under big data. Based on the existing three kinds of typical big data, CPI, PPI and PMI, which are measured market price, including data fluctuation network of data transmission are constructed and propose optimal model based on macroscopic and microscopic behaviors of complex networks of big data. The new theory of characteristics market and market siphon phenomenon are presented, new theory is constructed based on market price behavior of big data and dynamic evolution characteristics of market price index under big data are analyzed. This subject also studies characteristics market of energy price market, build index system of energy price for big data and studies response cloud theory of microscopic energy price under the quantified big data.

英文关键词： big data;energy price;energy market;consumer price index; response cloud space