Evaluation and Comparison Research on the Support of Websites to Enterprise's E-Commerce

This paper comparatively analyzes the existing evaluation index of websites, and puts forward the evaluation index and method about the support of a website to enterprise's e-commerce. Through researching on 56 super enterprises of information industry in Sichuan province, throughout China and the world, analyzing and comparatively studying the support ability of a website to an enterprise's e-commerce, this paper brings forward using five levels to categorize the support ability of a website to enterprise's e-commerce. In the end, the flaw of enterprise's e-commerce practice in Sichuan province and corresponding countermeasure will be illustrated.

How Does E-Commerce Policy Affect Consumption Disparities of Rural Households?-Evidence from China

In the context of China’s ongoing efforts to promote countryside revitalization and facilitate domestic economic circulation,it is of great significance to reduce the consumption disparity among rural households and unleash the consumption potential in the countryside.Based on data from China Family Panel Studies,this paper adopts a staggered difference-in-differences method to assess the impact of the e-commerce to enter rural areas on the consumption disparity among rural households.Findings:the comprehensive demonstration work of promoting e-commerce to enter rural areas has reduced the consumption disparity among rural households through the following mechanisms.Firstly,this policy initiative has mitigated the consumption-inhibiting effect on rural household consumption due to the local market size and external market accessibility by promoting the distribution of consumer goods to villages.Secondly,this policy initiative has also increased the agricultural income of rural households and reduced their consumption disparity by distributing farm produce to cities and enhancing the agricultural income of rural households.Moreover,the work is characterized by inclusive growth and is not susceptible to the“elite capture”phenomenon.

China’s Cross-Border E-Commerce: Evolution Pattern and Influencing Factors

In recent years,while the traditional trade sectors have been shrinking,China’s cross-border e-commerce has undergone rapid development and has become a new driver of its international trade.Based on analysis of the evolution pattern of China’s cross-border e-commerce,this paper uses a revised gravity model to test empirically the driving factors and the resistance factors in the development of the country’s cross-border e-commerce.The results show that the total GDP,per capita disposable income of urban residents,total imports and exports,and the scale of the online shopping market have a positive relationship with cross-border e-commerce transactions,which are conducive to the development of cross-border e-commerce,while logistics costs inhibit the development of cross-border e-commerce.Accordingly,the paper puts forward several policy recommendations.

Poverty alleviation through e-commerce:Village involvement and demonstration policies in rural China

The diffusion of e-commerce has played a significant role in recent rural economic development in China.E-commerce is also considered as an efficient channel to alleviate poverty in rural China.Voluminous studies have investigated the contribution of e-commerce to agricultural development,yet it is lacking empirical evidence as to the effects of e-commerce on rural poverty alleviation.Since the year of 2014,in order to develop rural e-commerce,Chinese government launched the National Rural E-commerce Comprehensive Demonstration Project.This gradual involvement policy offered a natural experiment for evaluation of e-commerce.Based on village-level survey data from rural China and Heckit method,our study finds that rural e-commerce has a significantly positive effect on rural income.Moreover,the effect is inverted U-shaped for the relative-poverty villages.The estimation of the propensity scores matching model confirms that the results are robust.The following policy recommendations are proposed:(1)policy support to rural e-commerce should prioritize the povertystricken villages.By doing so,the marginal income effects of e-commerce will be maximized.(2)Investment in internet infrastructure and establishment of human resources for e-commerce in rural areas will have spillover effects,increasing rural income through the"digital dividend".

电子商务网站的收入、成本与效益分析

主要分析了影响电子商务网站盈利的收入来源、成本构成、管理等因素以及讨论了电子商务技术与经济的关系等。

消费者出游决策情境下的景区网站质量评估——以四川省高等级景区为例

为了解景区网站所提供的信息和服务对消费者出游决策的影响,以中等收入消费者为征询对象,对景区网站质量的评估指标进行一致性筛选,并利用层次分析法构建评估体系,对四川省所有可访问的4A和5A级景区网站质量进行评估.结果表明:技术性的评估指标未通过筛选;那些有助于行程安排的评估指标更为消费者看重;四川省高等级景区网站的整体质量偏低,且各旅游线路的整体质量差异不明显,知名度较高的老牌景区的网站质量整体上较高.

E-commerce and Consumption Inequality in China

Consumption inequality may impede economic development and hinder the achievement of common prosperity.Using three waves of the China Family Panel Studies from 2014 to 2018,this paper investigated the impact of e-commerce on consumption inequality,as measured by the Kakwani index.The results indicate that e-commerce can reduce household consumption inequality.A mechanism analysis shows that e-commerce can narrow household income inequality,increase the purchasing power of low-income households,and promote the consumption of households with limited access to ofline markets,thereby reducing the consumption gap.A heterogeneity analysis suggests that the positive role of e-commerce in reducing consumption inequality can be more significant among vulnerable households,such as households with elderly members and less-educated households.E-commerce can have varying impacts on consumption inequality across different subcategories of household expenditure,with the greatest impact seen in entertainment and education expenditure.These findings provide new evidence for the role of e-commerce in reducing consumption inequality in the digital economy,and the implications of this are discussed.

An Experimental Study of Text Representation Methods forCross-Site Purchase Preference Prediction Using the Social Text Data

Nowadays, many e-commerce websites allow users to login with their existing social networking accounts. When a new user comes to an e-commerce website, it is interesting to study whether the information from external social media platforms can be utilized to alleviate the cold-start problem. In this paper, we focus on a specific task on cross-site information sharing, i.e., leveraging the text posted by a user on the social media platform (termed as social text) to infer his/her purchase preference of product categories on an e-commerce platform. To solve the task, a key problem is how to effectively represent the social text in a way that its information can be utilized on the e-commerce platform. We study two major kinds of text representation methods for predicting cross-site purchase preference, including shallow textual features and deep textual features learned by deep neural network models. We conduct extensive experiments on a large linked dataset, and our experimental results indicate that it is promising to utilize the social text for predicting purchase preference. Specially, the deep neural network approach has shown a more powerful predictive ability when the number of categories becomes large.