The Internet-driven sexual revolution in China
Jindian Liu,
Mingwang Cheng,
Xinyu Wei and
Ning Neil Yu
Technological Forecasting and Social Change, 2020, vol. 153, issue C
Abstract:
Based on data from the Chinese General Social Surveys from 2012, 2013, and 2015, this paper empirically studies the impact of the Internet on sexual attitudes, using ordinary least squares regressions and ordinal logistic regressions, followed by regressions that use the instrumental variable method and propensity score matching method for causal inferences. Our results suggest that Internet-usage frequency has a significantly positive impact on sexually permissive attitudes, including attitudes toward premarital sex, extramarital sex, and homosexual behavior. For example, a regression that uses instrument variables reveals that an increase of one standard deviation for Internet-usage frequency is associated with an increase of 0.6154 standard deviations for sexually permissive attitudes. Further, through the mediation effect model, this study probes the influence of Internet usage on sexually permissive attitudes, revealing that social network and education attainment account for 2.37% and 11.09%, respectively, of the total effect. The findings bolster the common perception that the Internet plays a crucial role in the sexual revolution in China.
Keywords: Sexual revolution; Internet usage; Sexually permissive attitudes; Premarital sex; Extramarital sex; Homosexual sex (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162519302124
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:153:y:2020:i:c:s0040162519302124
DOI: 10.1016/j.techfore.2020.119911
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().