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"Internet Economic aspects China."
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Googlization of everything
In the beginning, the World Wide Web was exciting and open to the point of anarchy, a vast and intimidating repository of unindexed confusion. Into this creative chaos came Google with its dazzling mission--\"To organize the world's information and make it universally accessible\"--and its much-quoted motto, \"Don't be Evil.\" In this provocative book, Siva Vaidhyanathan examines the ways we have used and embraced Google--and the growing resistance to its expansion across the globe. He exposes the dark side of our Google fantasies, raising red flags about issues of intellectual property and the much-touted Google Book Search. He assesses Google's global impact, particularly in China, and explains the insidious effect of Googlization on the way we think. Finally, Vaidhyanathan proposes the construction of an Internet ecosystem designed to benefit the whole world and keep one brilliant and powerful company from falling into the \"evil\" it pledged to avoid.
eBook
Influence empire : inside the story of Tencent and China's tech ambition
\"In 2017, a company known as Tencent overtook Facebook to become the world's fifth largest company. It was a watershed moment, a wake-up call for those in the West accustomed to regarding the global tech industry through the prism of Silicon Valley: Facebook, Google, Apple and Microsoft ... In this fascinating narrative - crammed with insider interviews and exclusive details - Lulu Chen tells the story of how Tencent created the golden era of Chinese technology, and delves into key battles involving Didi, Meituan and Alibaba. It's a chronicle of critical junctures and asks just what it takes to be a successful entrepreneur in China\"--Publisher's description.
Book
Socioeconomic status and internet addiction: double-mediated moderation
Background
Internet addiction is typically linked with a variety of psychological and behavioral problems, the prevalence of Internet addiction among Chinese college students was higher than that of the general population.
Objective
The present study aimed to test the mediating and moderating effects of socioeconomic status (SES), loneliness, alienation and grade on Internet addiction among Chinese college students.
Methods
Total of 496 college students were studied, partial least square structural equation modeling (PLS-SEM) was conducted to analyze the obtained data.
Results
The study found that SES can negatively predict Internet addiction (
β
=-0.145,
p
< 0.001). Moreover, loneliness and alienation play separate (
β
=-0.098,
p
< 0.001;
β
=-0.046,
p
< 0.01) and serial (
β
=-0.071,
p
< 0.001) mediating roles between SES and Internet addiction, and multigroup analysis showed that grade (sophomore year as the baseline) plays a moderation role in the association between SES → Internet addiction (sophomores vs. juniors;
β
= 0.249,
p
< 0.05) and SES →loneliness (sophomore vs. seniors;
β
= 0.255,
p
< 0.05). The VAF value was 70.27% for the mediation effect of the loneliness and alienation in the relationship between SES and Internet addiction.
Conclusions
SES not only has a direct effect on college students’ Internet addiction behavior but also has an indirect effect on it through the chain mediation effect of loneliness and alienation. The study reveals that grade level moderates the effects, suggesting tailored interventions are needed. This research could inform measures to mitigate addiction by addressing SES, loneliness, and alienation.
Journal Article
Digital economy development and the urban-rural income gap: Evidence from Chinese cities
The growth of the digital economy has created new forms of inequality of opportunity. This paper studies whether the development of the digital economy expands the income gap between urban and rural areas from theoretical and empirical. The research based on the panel data of 202 cities from 2011 to 2019 in China shows that: (1) Although the digital economy can promote the improvement of both urban and rural absolute income levels, it has a greater positive impact on urban residents’ income levels than on rural residents’, resulting in a widening of the urban-rural income gap. (2) The analysis of the action mechanism reveals that employment in the information service industry and the depth of digital finance use are two crucial mechanisms for the digital economy to widen the income gap between urban and rural areas. (3) The spatial Durbin model(SDM) and the spatial error model(SEM) based on three spatial weight matrices show that the impact of the digital economy on the urban-rural income gap is also characterized by spatial spillover, and the development of the digital economy will also have a negative impact on the urban-rural income gap in neighboring regions as well. (4) The main conclusions still hold after the robustness of quasi-natural experiments based on the strategy of \"Broadband China\" and the selection of historical data as instrumental variables. This research is helpful to understand the effects, mechanisms and spatial characteristics of digital economy on urban-rural income gap.
Journal Article
To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China
Drawing on a recent online survey combined with city-level data, this paper examines the impact of the COVID-19 on consumers' online food purchase behavior in the short term. To address the potential endogeneity issues, we adopt an instrumental variable (IV) strategy, using the distance from the surveyed city to Wuhan as the instrumental variable. We show that our IV method is effective in minimizing potential bias. It is found that the share of confirmed COVID-19 cases increases the possibility of consumers purchasing food online. This is more likely to be the case for young people having a lower perceived risk of online purchases and living in large cities. Despite some limitations, this paper has policy implications for China and other countries that have been influenced by the COVID-19 epidemic. Specifically, government support and regulation should focus on (i) ensuring the safety of food sold on the internet, (ii) protecting the carrier from becoming infected, and (iii) providing financial support to the poor since they may have difficulties in obtaining access to food living in small cities. Moreover, how to help those who are unable to purchase food online because of their technical skills (e.g., the elderly who are not familiar with smart phones or the internet) also deserves more attention for the government and the public.
Journal Article
Residents’ Internet use, family economic status, and self-rated health: gender-based differences
Background
People’s health is an important foundation for national development.
Methods
This study uses data from the 2021 Chinese General Social Survey (CGSS) to empirically test the impact of residents’ Internet use and family economic status on self-rated health.
Results
The empirical research results show that, first, residents’ Internet use and family economic status significantly promote their self-rated health. Second, a gender difference exists in how Internet use and family economic status affect residents’ self-rated health. Third, after introducing the interaction term between residents’ Internet use and family economic status, it is found that family economic status negatively regulates the promotion of Internet use on residents’ self-rated health, suggesting a substitution effect between these two factors. Finally, the heterogeneity test finds that the effects of Internet use and family economic status vary by region, registered residence, and age group.
Conclusions
This study suggests that the government can further improve Internet penetration, create a good Internet access environment, strengthen skills training, and enhance Internet content construction. These measures can amplify the positive effects of Internet use and family economic status on residents’ self-rated health.
Journal Article
Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms
Consumer-to-consumer (C2C) platforms have become a major engine of growth in Internet commerce. This is especially true in countries such as China, which are experiencing a big rush toward e-commerce. The emergence of such platforms gives researchers the unique opportunity to investigate the evolution of such platforms by focusing on the growth of both buyers and sellers. In this research, we build a utility-based model to quantify both cross and direct network effects on Alibaba Group’s Taobao.com, the world’s largest online C2C platform (based in China). Specifically, we investigate the relative contributions of different factors that affect the growth of buyers and sellers on the platform. Our results suggest that the direct network effects do not play a big role in the platform’s growth (we detect a small positive direct network effect on buyer growth and no direct network effect on seller growth). More importantly, we find a significant, large and positive cross-network effect on both sides of the platform. In other words, the installed base of either side of the platform has propelled the growth of the other side (and thus the overall growth). Interestingly, this cross-network effect is asymmetric with the installed base of sellers having a much larger effect on the growth of buyers than vice versa. The growth in the number of buyers is driven primarily by the seller’s installed base and product variety with increasing importance of product variety. The growth in the number of sellers is driven by buyer’s installed base, buyer quality, and product price with increasing importance of buyer quality. We also investigate the nature of these cross-network effects over time. We find that the cross-network effect of sellers on buyers increases and then decreases to reach a stable level. By contrast, the cross-network effect of buyers on sellers is relatively stable. We discuss the policy implications of these findings for C2C platforms in general and Taobao in particular.
Data, as supplemental material, are available at
https://doi.org/10.1287/mksc.2016.0976
.
Journal Article