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.

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.

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.

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.

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.

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.

Boosting E-Commerce in Rural Areas

China has rolled out a guideline to advance the high-quality development of e-commerce in its rural areas,said the Ministry of Commerce(MOC)on 13 March.The guideline was jointly issued by nine departments,including the MOC and the Cyberspace Administration of China.The move aims to ride the emerging digital economy wave to establish a new development pattern and improve rural consumption and the income of rural residents,the MOC said.

Rural E-commerce and County Economic Development in China

With the proliferation of information and communication technology in rural areas,rural e-commerce has gradually become a new economic phenomenon in China. Usingthe national rural e-commerce comprehensive demonstration policy as a quasi-naturalexperiment, this study examines the causal linkage between rural e-commerce andcounty-level economic development in China. Its findings, which draw on county-levelpanel data from 2011 to 2018, indicate that the policy had a positive effect on the countyleveleconomy in China, resulting in an overall increase in county GDP by 3.5 percent(0.7 percent annually). Our analysis further shows that the impact of the policy diferedalong the region and human capital dimensions. Further analysis reveals that industrialstructure and nonagricultural employment were the main channels for the policy toexert a county-level economic impact. Infrastructure improvement in China also playsan important role. The findings emphasize the importance of advancing e-commerce inrural areas to stimulate county-level economic development.

Impacts of agri-food e-commerce on traditional wholesale industry:Evidence from China

Rapidly expanding studies investigate the effects of e-commerce on company operations in the retail market.However,the interaction between agri-food e-commerce(AEC)and the traditional agri-food wholesale industry(AWI)has not received enough attention in the existing literature.Based on the provincial panel data from 2013 to 2020 in China,this paper examines the effect of AEC on AWI,comprising three dimensions:digitalization(DIGITAL),agrifood e-commerce infrastructure and supporting services(AECI),and agri-food e-commerce economy(AECE).First,AWI and AEC are measured using an entropy-based combination of indicators.The results indicate that for China as a whole,AWI has remained practically unchanged,whereas AEC exhibits a significant rising trend.Second,the findings of the fixed-effect regression reveal that DIGITAL and AECE tend to raise AWI,whereas AECI negatively affects AWI.Third,threshold regression results indicate that AECI tends to diminish AWI with three-stage inhibitory intensity,which manifests as a first increase and then a drop in the inhibition degree.These results suggest that with the introduction of e-commerce for agricultural product circulation,digital development will have catfish effects that tend to stimulate the vitality of the conventional wholesale industry and promote technical progress.Furthermore,the traditional wholesale industry benefits financially from e-commerce even while it diverts part of the traditional wholesale circulation for agricultural products.

Impact of BRICS Trade Facilitation on China's Exports Using Cross-Border E-Commerce

With the rapid growth of the global digital economy, cross-border e-commerce, as an emerging form of trade, has gradually become a powerful engine to promote the development of global trade. BRICS is an important force in the global economy, and the progress of the BRICS countries' trade facilitation level has an important impact on the global trade environment. This paper conducts an in-depth study of the dynamic changes in BRICS trade facilitation from 2013 to 2022, and uses an extended gravity model to analyze the specific impact of this change on China's exports using cross-border e-commerce. The results show that although the BRICS countries have made some progress in trade facilitation, the overall level still needs to be improved, and there are obvious differences among member countries. However, the improvement of trade facilitation among BRICS countries has undoubtedly brought significant positive effects to China's exports using cross-border e-commerce.

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.

Research on Current Situation and Legal Regulation of Cosmetics Live Streaming E-commerce in China

Analyze the compatibility between cosmetics and live streaming e-commerce from its own nature,marketing means and supply chain characteristics.According to the prominent problems,sort out the relationship between all parties in the cosmetics live e-commerce industry chain.Combined with the latest regulatory policies of live streaming e-commerce and cosmetics,the responsibilities of different subjects in cosmetics live streaming e-commerce are summarized,and relevant suggestions and countermeasures are put forward for the standardization and development of live streaming e-commerce.Cosmetics brand owners are the first responsible persons for product quality.Anchors,as a mixed identity between intermediary,advertising spokesperson and operator,should bear stricter joint and several liability when recommending products related to consumers’health.If anchors fail to clearly identify themselves in the recommendation process,thus causing consumers to mistake them for the operator of the cosmetics,they should assume the obligations of the operator.

Research on Professional Teaching Reform of the E-Commerce Major in Vocational Colleges Under the Internet Era

With the rapid development of science and technology,the face of human society has undergone great changes;with the emergence of the Internet era,all kinds of educational technology,equipment,and software in vocational colleges have been widely used to carry out education and teaching,and has achieved remarkable results.Based on this,colleges and universities’electronic commerce(e-commerce)professional teachers should try to rely on the Internet to build information teaching classrooms,introduce advanced methods to build efficient classrooms by integrating teaching resources,and optimize the top-level design,so as to activate the classroom atmosphere,mobilize students’emotions,make them immersed in the teaching of electronic commerce courses.In view of this,this paper combines the existing theory and experience,first analyzes the dilemma faced by the current teaching of e-commerce in vocational colleges,then discusses the practical significance of teaching reform based on the Internet era,and lastly puts forward the specific practice path.

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".

The Effects of E-Commerce on Regional Poverty Reduction:Evidence from China’s Rural E-Commerce Demonstration County Program

This paper uses the Rural E-Commerce Demonstration County(REDC)policy to estimate the effect of e-commerce on poverty reduction.We discover that the REDC policy enhanced the gross regional product per capita by 8.4 percent for the total sample of counties and 10.5 percent for a subsample of poor counties.Specifically,the REDC policy increased the aggregate final product in primary industry by 10.6 percent.The final product per capita in the secondary and service sectors was 13.1 percent and 3.3 percent higher in the REDCs than in other counties,respectively.The effects were even greater for the subsample of poor counties.The estimates demonstrate that e-commerce developed quickly in the REDCs since the implementation of the REDC policy.The income of those involved in e-commerce increased,yielding more aggregate savings deposits.The expansion of e-commerce induced more investment,suggesting that more aggregate loans are being made in REDCs.This evidence suggests new opportunities for poor people in the new digital economy.

Spatial Structure of China's E-commerce Express Logistics Network Based on Space of Flows

The intermediate link compression characteristics of e-commerce express logistics ne tworks influence the tradition al mode of circulation of goods and economic organization,and alter the city spatial pattern.Based on the theory of space of flows,this study adopts China Smart Logistics Network relational data to build China's e-commerce express logistics network and explore its spatial structure characteristics through social network analysis(SNA),the PageRank technique,and geospatial methods.The results are as follows:the network density is 0.9270,which is close to 1;hence,indicating that e-commerce express logistics lines between Chinese cities are nearly complete and they form a typical network structure,thereby eliminating fragmented spaces.Moreover,the average minimum number of edges is 1.1375,which indicates that the network has a small world effect and thus has a high flow efficiency of logistics elements.A significant hierarchical diffusion effect was observed in dominant flows with the highest edge weights.A diamond-structured network was formed with Shanghai,Guangzhou,Chongqing,and Beijing as the four core nodes.Other node cities with a large logistics scale and importance in the network are mainly located in the 19 city agglomerations of China,revealing the fact that the development of city agglomerations is essential for promoting the separation of experience space and changing the urban spatial pattern.This study enriches the theory of urban networks,reveals the flow laws of modern logistics elements,and encourages coordinated development of urban logistics.

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).

The impact of the Rural Minimum Living Standard Guarantee(Rural Dibao)Program on child nutrition outcomes

The Rural Minimum Living Standard Guarantee(Rural Dibao)is an important unconditional cash transfer program to alleviate poverty in rural China.Despite the importance of children’s nutrition in breaking poverty cycles,little is known about the impact of Rural Dibao on child nutrition outcomes.Using China Family Panel Studies(CFPS),this paper examines the effects of Rural Dibao on child nutrition outcomes and investigates potential pathways and heterogeneous effects.We exploit propensity score matching and difference-in-differences techniques to evaluate the effects of the Rural Dibao program on child nutrition outcomes.Our results suggest that Rural Dibao significantly impacts the nutrition outcomes of children up to 15 years of age.Specifically,our results suggest that Rural Dibao improves child height-to-age z-scores by 1.05 standard deviations and lowers the probability of stunting by 11.9 percentage points.Additional analyses suggest that increased protein intake is the main pathway through which Rural Dibao participation contributes to better nutrition outcomes.We also find that the effect of the program is more pronounced among girls,children who are non-left-behind or live with highly educated mothers,and those from low-income families and poor areas.Our findings suggest that Rural Dibao participation helps improve child nutrition outcomes through improving diet quality.

Transaction Frequency Based Trust for E-Commerce

Most traditional trust computing models in E-commerce do not take the transaction frequency among participating entities into consideration,which makes it easy for one party of the transaction to obtain a high trust value in a short time,and brings many disadvantages,uncertainties and even attacks.To solve this problem,a transaction frequency based trust is proposed in this study.The proposed method is composed of two parts.The first part is built on the classic Bayes analysis based trust modelswhich are ease of computing for the E-commerce system.The second part is the transaction frequency module which can mitigate the potential insecurity caused by one participating entity gaining trust in a short time.Simulations show that the proposed method can effectively mitigate the self-promoting attacks so as to maintain the function of E-commerce system.

Enhanced E-commerce Fraud Prediction Based on a Convolutional Neural Network Model

The rapidly escalating sophistication of e-commerce fraud in recent years has led to an increasing reliance on fraud detection methods based on machine learning.However,fraud detection methods based on conventional machine learning approaches suffer from several problems,including an excessively high number of network parameters,which decreases the efficiency and increases the difficulty of training the network,while simultaneously leading to network overfitting.In addition,the sparsity of positive fraud incidents relative to the overwhelming proportion of negative incidents leads to detection failures in trained networks.The present work addresses these issues by proposing a convolutional neural network(CNN)framework for detecting ecommerce fraud,where network training is conducted using historical market transaction data.The number of network parameters reduces via the local perception field and weight sharing inherent in the CNN framework.In addition,this deep learning framework enables the use of an algorithmiclevel approach to address dataset imbalance by focusing the CNN model on minority data classes.The proposed CNN model is trained and tested using a large public e-commerce service dataset from 2018,and the test results demonstrate that the model provides higher fraud prediction accuracy than existing state-of-the-art methods.