电子商务能改善农业生产的环境负效应吗?-来自上海青浦的证据

电子商务在农村农业领域的快速发展带动了农民收入的增加,但是其作用路径和环境效应有待检验.以上海市青浦区为典型案例,利用264份新型农业经营主体的问卷调查数据,采用IV-ordered Probit模型和夏普利值分解法,研究了"电子商务+农业"模式的经济效应和环境效应.结果表明：电子商务的引入具有显著的农民增收效应,但主要以产量扩大型传导机制为主,反而加剧了农业生产的环境负效应.电子商务并非农民增收的关键因素,其贡献率仅为12%;发挥决定性作用的是新技术、新方法的应用带来的效率提升,以及生产规模扩大带来的规模经济效应,相应的夏普利分解贡献了达到31%和25%.这表明当前的"电子商务+农业"模式仍处于初级发展阶段,需要加强相应的规制和引导,实现从产量驱动阶段向质量驱动阶段转型.     

A guide to using the internet to monitor and quantify the wildlife trade

The unrivaled growth in e-commerce of animals and plants presents an unprecedented opportunity to monitor wildlife trade to inform conservation, biosecurity, and law enforcement. Using the internet to quantify the scale of the wildlife trade (volume and frequency) is a relatively recent and rapidly developing approach that lacks an accessible framework for locating relevant websites and collecting data. We produced an accessible guide for internet-based wildlife trade surveillance. We detailed a repeatable method involving a systematic internet search, with search engines, to locate relevant websites and content. For data collection, we highlight web-scraping technology as an efficient way to collect data in an automated fashion at regularly timed intervals. Our guide is applicable to the multitude of trade-based contexts because researchers can tailor search keywords for specific taxa or derived products and locations of interest. We provide information for working with the diversity of websites used in wildlife trade. For example, to locate relevant content on social media (e.g., posts or groups), each social media platform should be examined individually via the site's internal search engine. A key advantage of using the internet to study wildlife trade is the relative ease of access to an increasing amount of trade-related data. However, not all wildlife trade occurs online and it may occur on unobservable sections of the internet.     

电子商务与旅游市场运行机制研究

基于互联网的旅游电子商务的发展，变革着旅游交易的方式，创造了新的虚拟市场空间，使旅游市场的效率得到提高、旅游供需匹配功能得到强化，同时也加剧了旅游市场的内部竞争。旅游电子商务市场的虚拟化发展也为旅游市场管理提出了新课题，需要研究开发一系列新的技术手段和市场规范制度来保证旅游市场健康、良性发展。文章从电子商务与旅游市场运行的机制方面进行了一定的研究与探讨，力求说明以旅游电子商务来改造传统旅游市场的运作方式，提升旅游市场运行效率所具有的重要意义及可操作性。     

Reliability of social media data in monitoring the global pet trade in ants

The global pet trade is a major risk to biodiversity and humans and has become increasingly globalized, diversified, digitalized, and extremely difficult to control. With billions of internet users posting online daily, social media could be a powerful surveillance tool. But it is unknown how reliably social media can track the global pet trade. We tested whether Instagram data predicted the geographic distribution of pet stores and the taxonomic composition of traded species in the emerging pet trade in ants (Hymenoptera, Formicidae). We visited 138 online stores selling ants as pets worldwide and recorded the species traded. We scraped ∼38,000 Instagram posts from ∼6300 users referencing ants as pets and analyzed comments on post and geolocation (available for ∼1800 users). We tested whether the number of Instagram users predicted the number of ant sellers per country and whether the species referenced as pets on Instagram matched the species offered in online stores, with a particular focus on invasive species. The location of Instagram users referencing ants as pets predicted the location of ant sellers across the globe (R² = 0.87). Instagram data detected 439 of the 631 ant species traded in online stores (70%), including 59 of the 68 invasive species traded (87%). The number of Instagram users referencing a species was a good predictor of the number of sellers offering the species (R² = 0.77). Overall, Instagram data provided affordable and reliable data for monitoring the emerging pet trade in ants. Easier access to these data would facilitate monitoring of the global pet trade and help implement relevant regulations in a timely manner.     

企业与消费者型(B to C)网络支付模式及相关安全技术研究

随着电子商务的飞速发展,网络支付模式及安全问题已经成为制约其发展的瓶颈。根据企业与消费者型(Bto C)电子商务网络支付系统的一般模式,较为详细地研究了各种Bto C型电子商务网络支付模式的类型,依据Bto C型电子商务网络支付系统所受不同类型攻击,系统地分析了Bto C型电子商务网络支付所面临的安全问题,并对其相关安全技术的实现进行了较为系统的研究和分析,最后根据Bto C型网络安全支付协议发展过程和存在问题,分析了一个基于3D-Secure的Bto C型网络安全支付模式实现过程。     

Implications for biological invasion of non-native plants for sale in the world's largest online market

Internet trade is increasingly recognized as a dispersal pathway of non-native plant species that is difficult to monitor. We sought to identify non-native flora present in the Chinese online market, the largest e-commerce market globally, and to decipher the effect of existing trade regulations, among other variables, on e-trading patterns and to inform policy. We used a comprehensive list of 811 non-native plant species in China present in 1 of the 3 phases of the invasion continuum (i.e., introduced, naturalized, and invasive). The price, propagule types, and quantities of the species offered for sale were retrieved from 9 online stores, including 2 of the largest platforms. Over 30% of the non-native species were offered for sale in the online marketplaces; invasive non-native species dominated the list (45.53%). No significant price difference was observed across the non-native species of the 3 invasion categories. Among the 5 propagule types, a significantly higher number of non-native species were offered for sale as seeds. The regression models and path analyses consistently revealed a direct positive effect of the number of uses and species’ minimum residence time and an indirect effect of biogeography on the pattern of trade in non-native plant species when minimal phylogenetic signal was detected. A review of the existing phytosanitary regulations in China revealed their inadequacy in managing e-trading of non-native plant species. To address the problem, we propose integration of a standardized risk assessment framework that considers perceptions of stakeholders and is adaptable based on continuous surveillance of the trade network. If implemented successfully, the measures could provide a template for other countries to strengthen trading regulations for non-native plant species and take proactive management measures.