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.

Predicting Purchasing Behavior on E-Commerce Platforms: A Regression Model Approach for Understanding User Features that Lead to Purchasing

This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. Evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.

Analysis of the Current Situation, Influential Factors, and Countermeasures of Rural E-commerce Development

The development of rural e-commerce is becoming an important driver for the transformation of China’s rural economy,and with the rapid development of information technology and the upgrading of the agricultural industry,rural e-commerce is showing a vigorous momentum of development.Traditionally,agricultural products are mainly sold through traditional farmers’markets,which are subjected to geography and channel limitations,resulting in inefficient circulation of agricultural products.This paper analyzes the definition,the status quo,as well as the influencing factors of rural e-commerce development.On this basis,countermeasures for the advancement of rural e-commerce development are put forward.

Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment:Taking the Female Community Platform“Little Red Book”as an Example

This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.

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".

Rural E-commerce and New Model of Rural Development in China:A Comparative Study of "Taobao Village" in Jiangsu Province

With the development of electronic commerce,there is a special phenomenon in rural areas of China that a lot of farmers in these areas depend on opening shops on Taobao online for a living. The products are made from the village workshop,and farmers become fullyfledged network businessmen. Electronic business platform mode of " Taobao Village" is the result of integrated development of primary,secondary and tertiary industries. In this study,we take two kinds of typical Taobao villages( Dongfeng Village and Yanxia Village) as sample areas,and conduct comparative analysis of this new rural business model based on field survey data,case studies and theoretical research. We also probe into the problems in the development of Taobao villages,and set forth the recommendations for the new rural business model.

E-commerce development in rural and remote areas of BRICS countries

E-commerce plays an essential role in modern trade today.It is expected that e-commerce volume amounted to 29 trillion USD in the world in 2017,and would grow with the spread of the Internet and information and communication technologies(ICTs).Brazil,Russia,India,China and South Africa(BRICS),together with many others,consider e-commerce a means to facilitate rapid,inclusive and sustainable economic growth,improving the living standards and alleviating poverty.This article examines areas for potential cooperation by BRICS countries in e-commerce development across rural and remote areas to fight poverty.It analyses the current state of e-commerce development in rural and remote areas in each of the BRICS countries,including cases of public and private initiatives to support it.The article also defines the opportunities which e-commerce brings to people living in rural and remote areas.Moreover,it evaluates the existing challenges and risks.The article concludes that despite the rapid e-commerce development in BRICS countries,and significant opportunities created,there are still issues of disproportionate e-commerce in varied regions and the lack of BRICS cooperation in this sphere.Based on a comparative and normative in-depth,systematic analysis,the article develops a set of recommendations for deepening BRICS countries'cooperation in the following areas:infrastructure in rural and remote regions;education;consumer protection;online dispute resolution;coordinated policy in the international scene,including representation of BRICS countries in international indexes,such as the Organization of Economic Co-operation and Development(OECD)Digital Services Trade Restrictiveness Index(STRI).

Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning

With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.

Development of Rural E-commerce from the Perspective of Agricultural New Kinetic Energy Cultivation:Based on Survey on the "E-commerce Entering Villages and Households" Project of Jurong City

Taking the implementation of the"e-commerce entering villages and households"project in Jurong City as an example,a survey plan is formulated,and questionnaires are designed.Through questionnaires,a large number of agricultural households are visited,and the data are collected and collated;and using interviews and field trips,the help of e-commerce for agricultural products sales is understood.Then,the analysis on the entire survey is summarized.Finally,the survey is researched,and it is found that the current rural e-commerce lacks professional talents and the product distribution system is not perfect.For existing problems,corresponding solutions are put forward.

A Novel Named Entity Recognition Scheme for Steel E-Commerce Platforms Using a Lite BERT

In the era of big data,E-commerce plays an increasingly important role,and steel E-commerce certainly occupies a positive position.However,it is very difficult to choose satisfactory steel raw materials from diverse steel commodities online on steel E-commerce platforms in the purchase of staffs.In order to improve the efficiency of purchasers searching for commodities on the steel E-commerce platforms,we propose a novel deep learning-based loss function for named entity recognition(NER).Considering the impacts of small sample and imbalanced data,in our NER scheme,the focal loss,the label smoothing,and the cross entropy are incorporated into a lite bidirectional encoder representations from transformers(BERT)model to avoid the over-fitting.Moreover,through the analysis of different classic annotation techniques used to tag data,an ideal one is chosen for the training model in our proposed scheme.Experiments are conducted on Chinese steel E-commerce datasets.The experimental results show that the training time of a lite BERT(ALBERT)-based method is much shorter than that of BERT-based models,while achieving the similar computational performance in terms of metrics precision,recall,and F1 with BERT-based models.Meanwhile,our proposed approach performs much better than that of combining Word2Vec,bidirectional long short-term memory(Bi-LSTM),and conditional random field(CRF)models,in consideration of training time and F1.

Digital Marketing and B2B Cross-Border E-Commerce: A Case Study of Alibaba International Station in China

The rapid development of the“Internet+”has ushered in a new era of global digital technology innovation.Concurrent with the deepening trends of economic globalization and integration,international trade is progressively undergoing extensive digitization,with cross-border e-commerce emerging as a significant manifestation of this transformation.Within this landscape,the cross-border e-commerce B2B platform is anticipated to become a pivotal driver for China’s cross-border trade growth,representing a strategic opportunity for trade transformation.This paper provides a comprehensive examination of the concepts,characteristics,and development status of cross-border e-commerce and B2B platforms,considering both global and Chinese perspectives.Focusing on a prominent case study,Alibaba International Station,a B2B cross-border e-commerce platform,the paper delves into its business model and core competencies,offering a thorough analysis of its role in the intricacies of international e-commerce and its contribution to the field.Drawing on insights gained,the paper concludes by presenting targeted recommendations from both the platform and government perspectives.These suggestions are informed by a nuanced understanding of the development opportunities and challenges facing China’s cross-border e-commerce B2B platforms.

Effects of E-Commerce Platforms on Firm Export——Evidence from China’s Industrial Enterprises

With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.

Present Situation and Problems of Application of New Media in Rural E-commerce : A Case Study of Anhui Province

The application of new media technology in rural areas of China provides more convenient conditions for agricultural products publicity,transaction information dissemination and user feedback.In particular,e-commerce platform based on Internet technology provides more convenient sales channels for characteristic agricultural products.Through the research on the application of new media technology in rural areas of Anhui Province,this paper explores the actual effect of new media technology on the development of rural e-commerce.The questionnaire survey is used to understand the development status of new media in rural areas of China.They are:the development of"Internet government affairs"has begun to take shape;the official account of WeChat has shortened the time and space between the production and consumption of agricultural products.Live interaction gives full play to the powerful role of fan economy;digital media has not been widely used.Through the form of on-the-spot visits,this paper expounds the application effect of new media in the agricultural field of Anhui Province from three perspectives of the government,agricultural enterprises and farmers.It analyzes the problems existing in the application of new media in rural e-commerce in Anhui Province.They are:the new media market is still full of problems;The infrastructure construction of rural e-commerce is relatively poor;Farmers lack the guidance of professional talents;farmers' acceptance and learning ability is poor.The paper puts forward suggestions for the development status and problems of new media in rural areas of Anhui Province.They are:the provincial government should continue to promote the new media market order;all e-commerce enterprises should actively undertake social responsibility;rural e-commerce entrepreneurs should actively promote professional operation;farmers should actively change their views on new media.

Research on the Development of Rural E-commerce in China

At present,rural e-commerce is characterized by obvious improvement in market prospect,development scale and development momentum,but there are also some problems,such as farmers’low acceptance of e-commerce,lack of promotion and training of rural e-commerce,and lack of rural e-commerce talents.Based on these problems,the government needs to increase financial support for rural e-commerce,improve the distribution logistics system,and strengthen the training of rural e-commerce personnel to promote the sustainable development of rural e-commerce.

Current Situation of E-commerce Entering Rural Areas in Datong County of Qinghai Province

Datong County has been developed for nearly 5 years since it was selected as a comprehensive demonstration county of e-commerce entering rural areas in 2017.In this context,this paper analyzes the development status of e-commerce in rural areas of Datong County,and provides feasible suggestions for the development of e-commerce entering rural areas in demonstration counties.

Application of the E-commerce Platform in the International Trade

E-commerce is a new consumption mode, which develops rapidly and is welcomed by consumers. It also plays an important role in promoting the international trade. Through this analysis, we can understand that the influence of the e-commerce on the international market has both positive and negative aspects. We need to be aware of our shortcomings, understand the gap between them and the developed countries, and formulate the relevant policies. Let China's e-commerce continue to improve and innovate in the international trade, and find a suitable strategy for its own development. Relevant Chinese departments should actively and effectively participate in the construction of e-commerce. On the one hand, they can stabilize the status of e-commerce in the international trade, and on the other hand, they can expand the consumer groups and make the electronic goods better.

Assumption of E-commerce Platform of Agricultural Products Based on F2C2B Mode

This paper proposes the assumption of E-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of the modern system, and the e-commerce integration model from customer to supplier is implemented, and the whole is optimized. E-commerce to cloud computing as the basic environment, the construction of public cloud services and private cloud resources, based on public cloud to the SaaS way to provide services to customers, focus on business search and business collaboration, make full use of the lnternet, modern communications technology to provide the real- service. The development of agricultural economy, no longer depends only on the number of some traditional agricultural resources, but also depends on the modern technology, information access and use. Through the development of basic network technology, by virtue of some modern electronic information technology and some other means that can improve the intelligence of agricultural use of the information resources, the proposed model provides the new methodology of the solution.

Guizhou Signs Strategic Contract with Jingdong to Promote Rural E-commerce

On September 20,the Network+ rural innovation summit that highlights the number of Jingdong online stores surpassing 1,000 was held in Zunyi County.At the summit Jingdong Group and Guizhou Provincial Commercial Department signed a joint strategic contract to promote rural e-commerce.Both sides will make best use of '3F strategy' of Jindong rural e-commerce and the advantages of Guizhou Province,to launch a batch of rural e-commerce projects of the people and for the people,to help local rural residents gain wealth and promote the restructuring of the rural economy.

Evaluation of E-commerce Poverty Alleviation Effect in the Context of Rural Revitalization Strategy

The industrial prosperity proposed in the overall requirement of rural revitalization strategy in the Report of the 19th National Congress is the cornerstone of rural development. E-commerce poverty alleviation is an effective way of poverty alleviation in recent years. This paper mainly explored the factors influencing the rural e-commerce poverty alleviation and the evaluation of poverty alleviation effects,in order to come up with countermeasures and recommendations to provide assistance and guidance for the use of e-commerce to achieve poverty alleviation and accordingly to revitalize the rural industry. Firstly,using the literature research method,it proposed four level Ⅰ indicators influencing the e-commerce poverty alleviation,and designed a detailed level Ⅱ indicator system under each dimension. Then,the questionnaire survey method was employed to collect data for SPSS analysis to verify whether the designed indicator system is correct. Finally,it analyzed the problem of the current stage of e-commerce poverty alleviation by means of the quadrifid graph,and came up with corresponding countermeasures on the basis of the four key levek I factors.