全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

居民消费水平对电商发展的影响研究
Research on the Influence of Residents’ Consumption Level on the Development of E-Commerce

DOI: 10.12677/ecl.2025.141034, PP. 263-273

Keywords: 电子商务,消费水平,多元线性回归
E-Commerce
, Consumption Level, Multiple Linear Regression

Full-Text   Cite this paper   Add to My Lib

Abstract:

随着互联网技术的飞速发展,电子商务已成为现代经济的重要组成部分。本文旨在研究居民消费水平对电子商务发展的影响,通过采用多元线性回归分析方法,结合国家统计局发布的2015~2022年数据,以电子商务销售额为被解释变量,生存需求型消费支出、发展与享受型消费支出以及其他用品及服务支出作为解释变量来构建研究框架,观察三个变量对电子商务销售额的影响。本文的结果显示生存需求型消费支出、发展与享受型消费支出与电子商务销售额均有正相关关系,居民消费水平对电子商务有促进作用。
With the rapid development of Internet technology, e-commerce has become an important part of modern economy. This study aims to investigate the impact of resident consumption levels on the development of e-commerce. Using the multiple linear regression analysis method and data published by the National Bureau of Statistics from 2015 to 2022, we construct a research framework with e-commerce sales as the dependent variable and survival consumption expenditure, development and enjoyment consumption expenditure, and other goods and services expenditure as independent variables to observe the effects of the three variables on e-commerce sales. The results of this paper show that there is a positive correlation between survival demand consumption expenditure, development and enjoyment demand consumption expenditure and e-commerce sales, and residents’ consumption level can promote e-commerce.

References

[1]  常晓玲. 电子商务对河北省城乡居民消费差距的影响研究[D]: [硕士学位论文]. 邯郸: 河北工程大学, 2020.
[2]  Kalakota, R. and Andrew, W. (1995) Guide to E-Commerce. Commercial Development, 6, 27-25.
[3]  Koufaris, M. (2002) Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13, 35-73.
https://doi.org/10.1287/isre.13.2.205.83
[4]  Stanujkic, D. and Karabasevic, D. (2019) Evaluation of the E-Commerce Development Strategies. Quaestus, 18, 44-52.
[5]  康善招. 中国电子商务发展问题研究[D]: [博士学位论文]. 福州: 福建师范大学, 2002.
[6]  张坤, 张鹏. 中小企业电子商务发展可持续竞争力的研究[J]. 中国商论, 2015(36): 144-147.
[7]  杨倍宁. 电子商务与供应链管理的概念及内在联系[J]. 经济研究导刊, 2020(15): 146-147.
[8]  周杨, 李眉, 郭楚原. 基于逐步多元回归的首都大学生绿色消费影响因素分析[J]. 商场现代化, 2022(5): 1-4.
[9]  何晓群. 回归分析与经济数据建模[M]. 北京: 中国人民大学出版社, 1997.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133