摘要 本文首先通过对第三产业的关联度分析可知,第三产业将成为影响我国国内生产总值最大的产业.并且,本文通过用协整模型和误差修正模型验证上述分析结果:从长期和短期来看,第三产业对国内生产总值的显著影响是呈均衡线性增加的.然后,本文再将第三产业的等权组合预测结果作为依据来确定其主要影响因素:交通运输、仓储、邮政、批发、零售、住宿、餐饮、金融、房地产以及卫生业.最后,在Spearman秩相关性分析的基础上建立了第三产业影响因素的多元线性回归模型.41775
该论文有图13幅,表27个,参考文献14篇. 毕业论文关键词:关联度 协整模型 误差修正模型 等权组合预测 多元线性回归
Correlation analysis of the tertiary industry and its influencing factors of research
Abstract
This paper first through to the analysis of correlation between the third industry, the third industry influence GDP will become the largest industry, using co-integration model and error correction model to verify the above analysis result: in the long and the short term, the third industry, the significant influence to the gross domestic product (GDP) is a linear increase in equilibrium. In this paper, and then the tertiary industry and so on weight combination forecasting results as a basis to determine the main influence factors: transportation, warehousing, postal service, wholesale, retail, accommodation, catering, finance, real estate and health industry. Finally, then on the basis of the rank correlation analysis influence factors of multiple linear regression model is established.
Key words: correlation Cointegration model Error correction model Equal weight combination forecast Multiple linear regression
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