标题：Access to the Internet and the Chinese household consumption structure: Based on IV regression and PSM analysis (Open Access)
作者：Wang, Liping ;Deng, Hao
作者机构：[Wang, Liping ;Deng, Hao ] School of Economics, Shandong University of Finance and Economics, Jinan, China
会议名称：2020 2nd International Conference on Applied Machine Learning and Data Science, ICAMLDS2020
会议日期：August 21, 2020 - August 23, 2020
来源：Journal of Physics: Conference Series
摘要：Based on the data of China's Household Finance Survey (CHFS) in 2017 consisting of 38230 samples across China, this paper uses the instrument variable (IV) regression method and the propensity score matching (PSM) technique to study the influence of access to the Internet on the household consumption structure. The conclusions are as follows: first, access to the Internet is conducive to the upgrading of the consumption structure of the residents. Increase of the income, assets and education level could upgrade the consumption structure. Second, people who do not use the Internet will upgrade the consumption structure if they use the Internet, but the upgrading degree of the consumption structure is limited by the income level. Third, from the regional perspective, the Internet can promote the upgrading of consumption structure in the eastern and western regions of China, but it has no significant effect on the consumption structure in the central and northeast regions.
© 2020 Published under licence by IOP Publishing Ltd.