摘要随着生活水平的提高和互联网技术的发展，大学生的消费水平不断提高，与此同时，网络购物的兴起也对大学生的消费结构产生了新的影响。大学生整体消费水平不断提高，网购消费占比也不断提高。大学生的这一消费特点主要是由大学生群体的收入来源和大学生活特点所决定。49343
本文基于大学生消费问卷调查数据，采用灰色预测模型以及灰色关联分析方法，在对杭州市下沙高教园区大学生消费情况进行分析的基础之上，根据GM（1,1）模型对下沙大学生消费结构进行研究，并对2016年的人均消费和结构比例的未来趋势进行预测。结果发现，2012—2015年，下沙大学生消费水平不断提高，基本的饮食支出并没有太大的增长，而网络购物相比生活必须品支出的增长速度较快。
毕业论文关键词：大学生消费结构；灰色预测法；网络购物
ABSTRACT With the improvement of living standards and the development of Internet technology, the consumption level of university students is increasing, meanwhile, the rise of online shopping also has a new impact on university students' consumption structure. University students’ consumption has been increasing and the proportion of online shopping consumption is more and more. The consumption characteristics of college students are mainly determined by the income sources of college students and the characteristics of college life.
Based on the date of the questionnaire of college students consumption survey in Xiasha Higher Education Park, we study the consumption and its structure of Xiasha university students according to GM (1,1) model. Then we predict per capita consumption and consumption structure of college students in 2016 using the grey prediction model and grey relational analysis method. It was found that in 2012-2015, the level of consumption of college students in Xiasha has constantly improved. However, the basic food expenditure did not growth too much, and online shopping expenditure experienced a faster speed than the expenditure of necessary goods.
Key words: The structure of university students consumption；Grey prediction；Online shopping
目录
摘 要 2
ABSTRACT 3
第1章 绪论 5
1.1研究背景、问题及意义 5
1.1.1研究背景以及研究问题 5
1.1.2研究意义 6
1.2.1消费研究相关文献综述 6
1.2.2灰色预测法应用相关研究 7
1.3研究思路与方法 9
1.3.1研究思路 9
1.3.2 研究方法 9
第2章 灰色系统理论及灰色预测 10
第3章 下沙大学生消费现状 11
第4章 灰色预测模型与分析 12
4.1 模型建立 12
4.2 数据来源和处理 14
4.3 灰色预测法分析 15
第5章 结论 19
参考文献 20
附录 21
附录1：下沙大学生消费结构调查 21
附录2：灰色预测法的matlab代码 灰色预测法杭州下沙大学生人均消费研究:http://www.751com.cn/shuxue/lunwen_52304.html