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本文在梳理国内关于社会融资规模~①相关研究的基础上,介绍了这一指标在全国和区域层面的数据可得性,并基于东北三省的实例,介绍了区域层面社会融资规模的分析框架和实证应用方法。描述性统计、相关性、结构和成本等静态分析框架有助于分析区域社会融资规模的总量、结构、成本和相关性特征,而ARMA和Panel VAR等动态分析方法则有助于对区域社会融资规模进行预测,同时更为深入地考察其与区域宏观经济变量之间的关系。
Based on the domestic research on the scale of social financing, this paper introduces the data availability of this indicator at the national and regional levels. Based on the examples of three provinces in Northeast China, this paper introduces the analytical framework of the scale of social financing at the regional level. Empirical application method. The static analysis framework such as descriptive statistics, relevance, structure and cost helps to analyze the total amount, structure, cost and relevance of regional social financing scale. However, the dynamic analysis methods such as ARMA and Panel VAR help to analyze the regional social Financing scale of the forecast, at the same time more in-depth examination of its relationship with regional macroeconomic variables.