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互联网对我国东部地区经济发展影响研究


此文字数共约:10000字  文章页数共约:16页  发布时间:2022年  原创指数:3.6

【内容概述】

互联网对我国东部地区经济发展影响研究随着经济不断发展,互联网已经与社会、企业和普通老百姓深度融合。在我国东部地区,互联网扮演的角色越来越重要,逐渐成为激发经济快速发展的触发点。探讨互联网对我国东部地区经济发展的影响,不仅能够促进经济发展,还能实现互联网与经济良性互动。本文首先使用主成分分析的方法确定互联网发展水平指标体系中各指标的权重,实现对互联网发展水平的测度,然后建立多元线性回归模型,探究互联网的发展水平是否对我国东部地区经济发展有显著影响。实证结果发现,互联网的发展水平对我国东部地区经济的发展具有显著的正向促进作用。本文最后给出互联网发展水平促进经济不断发展的原因并提出相关建议。 关键词:互联网;经济发展;主成分分析;多元线性回归模型   Study on the impact of the Internet on the economic development of the eastern region of China ABSTRACT With the continuous development of the economy, the Internet has been deeply integrated with society, enterprises and ordinary people. In the eastern part of our country, the role of the Internet is becoming more and more important, and gradually become the trigger point to stimulate the rapid economic development. Discussing the impact of the Internet on the economic development of the eastern region of China can not only promote economic development, but also realize the positive interaction between the Internet and the economy. This paper first uses the method of principal component analysis to determine the weight of each index in the index system of Internet development level to measure the development level of Internet, and then establishes a multivariable regression model to explore whether the development level of Internet has a significant impact on the economic development of eastern China. The empirical results show that the development level of the Internet has a significant positive effect on the economic development in the eastern region of China. Finally, the reasons why the development level of Internet promotes the continuous development of economy are given and relevant suggestions are put forward. Keywords: Internet; economic development; principal component analysis; multivariable linear regression model   目 录 一、 绪论 1 (一)研究背景 1 (二)研究意义 1 二、 文献综述 1 三、 互联网发展水平指标体系的构建与测度 2 (一)指标体系的构建 2 (二)指标权重的确定 2 (三)互联网发展水平的测算 4 四、 互联网对东部地区经济发展影响效应 5 (一)理论模型构建 5 (二)变量选择 5 (三)数据说明 6 (四)实证分析 7 1.初步建立多元线性回归模型 7 2.多重共线性检验 8 3.模型修正 8 4.异方差检验 10 5.残差自相关检验 10 6.结论 11 五、 原因与对策建议 12 (一) 原因分析 12 (二) 对策建议 12 参考文献 13

 


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