Cross-border Urban Networks Based on Manufacturing Global Value Chain:A Study of Listed Companies in Western China

Cross-border investment is essential for western China’s globalization.Global value chain(GVC)forms cross-border investment networks between industries in western China and overseas cities.Focusing on GVC,this study uses the social network analysis method,entropy method,multi-index comprehensive evaluation method,and quadratic assignment procedure analysis method to examine the characteristics and influencing factors of the urban networks of research and development(R&D),production,and sales formed as a result of the overseas investments of listed manufacturing companies in western China.Results showed that the three types of investment networks involved multiple industry types and multiple central cities with differentiated diversity and multicentrality.The R&D urban network’s leading sub-industries were the mechanical equipment and instruments,medicine and biological products,and metal and nonmetal industries.The destination cities were mostly those home to educational and scientific research centers.The production urban network’s leading sub-industries were the mechanical equipment,instrument,and food and beverage industries.The destination cities were mostly regional central cities in developing countries.The sales urban network’s leading sub-industries were the mechanical equipment and instrument,metal and nonmetal,and petrochemical and plastics industries.The destination cities were numerous and scattered.In addition,the R&D urban network easily formed specialized clusters,core nodes easily controlled the production urban network,and individual nodes did not easily control the sales urban network.Technological and economic system advantages greatly impacted the three network types.Considering the different influencing factors,this study suggests optimizing the institutional investment environment to narrow the institutional gap,adjusting and optimizing the investment layout to expand overseas markets,and increasing R&D funds to stimulate technological progress and overseas investments in western China.

Cross-border E-commerce Reform and Entrepreneurial Activity in Urban Services - Evidence from Chinese Service Industry Enterprise Registration Data

Cross-border e-commerce(CBEC)significantly stimulates foreign trade development and the flow of goods and services.This study,using Chinese city-level data and a multiperiod difference-in-differences model based on CBEC comprehensive pilot zones,explores the impact of CBEC reform on urban service industry entrepreneurship.The results show that CBEC reform increased entrepreneurial activity,and this is confirmed by robustness tests.The mechanisms driving this efect include the attraction of foreign direct investment,improved information infrastructure,and talent development.Regional analysis reveals stronger effects in central,western,and noncoastal cities,and industry analysis highlights public and consumer services.Spatial heterogeneity shows that the reform's impact diminished with distance from pilot zones,with potential inhibitory efects in remote areas.This study demonstrates how CBEC reform can stimulate entrepreneurship and foster economicgrowth.

基于共生耦合理论探究乡村三产融合发展模式——以广东省惠东县小禾洞村为例

新冠病毒感染疫情使得旅游总需求量呈现断崖式下跌,休闲农业营业收入占比逐年下降,旅游业带动农业发展的三产融合经济效应锐减。基于此,该文引入共生耦合理论,以广东省惠东县小禾洞村为例,系统分析乡村三产融合的困境与目标,提出以政府、助农MCN机构、乡村品牌官、有机农场和农民为主的“五元四系”三产共生耦合系统,助农MCN机构发挥核心引擎作用,创新三产融合发展,以期为拓展壮大产业奠定基础。

对接跨境电商行业需求的商务英语订单式人才培养模式探讨——以广州城市职业学院为例

商务英语专业人才培养要面向市场、服务产业,对接跨境电子商务行业需求,实施订单式的人才培养模式。

基于产业经济分析的漳州市电子商务园区建设研究

电子商务园区建设给地方经济转型升级带来新的契机。在分析漳州特色产业经济的基础上对漳州市电子商务产业园区建设提供方向性的建议,能够确保园区在总体结构与模式设计上更有效地整合当地资源,发挥优势,能够结合实际创新商业模式,服务漳州经济。

Comparative Study on the Legal Regulation of a Cross-Border Flow of Personal Data and Its Inspiration to China

In the context of today's big data and cloud computing,the global flow of data has become a powerful driver for international economic and investment growth.The EU and the U.S.have created two different paths for the legal regulation of the cross-border flow of personal data due to their respective historical traditions and realistic demands.The requirements for data protection have shown significant differences.The EU advocates localization of data and firmly restricts cross-border flow of personal data.The U.S.tends to protect personal data through industry self-regulation and government law enforcement.At the same time,these two paths also merge and supplement with each other.Based on this,China needs to learn from the legal regulatory paths of the EU and the US,respectively,to establish a legal idea that places equal emphasis on personal data protection and the development of the information industry.In terms of domestic law,the Cybersecurity Law of the People's Republic of China needs to be improved and supplemented by relevant supporting legislation to improve the operability of the law;the industry self-discipline guidelines should be established;and various types of cross-border data need to be classified and supervised.In terms of international law,it is necessary to participate in international cooperation based on the priority of data sovereignty and promote the signing of bilateral,multilateral agreements,and international treaties on the cross-border flow of personal data.

跨境电商生态系统创新惰性成因与协同突破策略研究

跨境电商产业发展需构建创新型的生态系统,而"创新惰性"是完善跨境电商生态系统过程中存在的主要障碍,对其成因进行研究有助于更好地探求协同突破策略,促进跨境电商产业创新的积极性。本文对跨境电商生态系统创新过程中创新惰性形成的关键性因素及生成机制进行了分析,并运用Logistic方程构建跨境电商生态系统内企业与高校及科研机构协同创新模型,以寻求协同创新过程中创新效率的稳定点。结果表明:当双方展开协同创新时,不仅能给跨境电商生态系统带来新的创新突破点,同时也提高了双方研发的效率。但是,当企业与高校及科研机构达到一定的创新水平后,创新效率的发展空间将会越来越小,彼此之间的互动效应也相对减弱,最终达到理想的稳定状态。但是,这个稳定状态会随着内外部环境的变化而变化。因此,本文从优化生态系统创新元素互动模式、培育有利于协同创新的关联产业、完善生态系统内部制度及外部政策三个维度探讨协同突破策略,以维持跨境电商生态系统的稳定状态,促进整个系统的良性循环。

New-Wave Emerging Multinational Companies： The Determinants of Their Outward Foreign Direct Investment

Focusing on the fast growth of BRICS＇ outward foreign direct investment （OFDI） and multinational companies during the crisis has left unheeded that some other emerging economies also grow much faster than average in the global economy and has become significant and fast-growing direct investors abroad. A sample of such （thirteen） new-wave emerging countries （NWECs） is gathered on the criterion of being ranked among the most significant foreign direct investors in the global economy. The literature review exhibits only very few articles existing on such a topic so far. Descriptive statistics enable tracing OFDI by NWECs-based multinational companies back to the 1970s, checking its geographical orientation and industrial structure, and assessing the relative importance of cross-border mergers and acquisitions. Econometric estimation exhibits that direct investment moving off the NWECs is explained by so-called push factors such as the home country＇s GDP, GDP per capita, GDP rate of growth, the share of high-technology exported products in overall export, the number of technological patents registered, and how much inward foreign direct investment discussed in the light of Dunning＇s investment development hypothesis. stock has previously been hosted. These results are path model and Matthews＇ linkage-leverage learning

Architecture of a Commercialized Search Engine Using Mobile Agents

Shopping Search Engine(SSE)implies a unique challenge for validating distinct items available online in market place.For sellers,having a user finding relevant search results on top is very difficult.Buyers tend to click on and buy from the listings which appear first.Search engine optimization devotes that goal to influence such challenges.In current shopping search platforms,lots of irrelevant items retrieved from their indices;e.g.retrieving accessories of exact items rather than retrieving the items itself,regardless the price of item were considered or not.Also,users tend to move from shoppers to another searching for appropriate items where the time is crucial for consumers.In our proposal,we exploit the drawbacks of current shopping search engines,and the main goal of this research is to combine and merge multiple search results retrieved from some highly professional shopping sellers in the commercial market.Experimental results showed that our approach is more efficient and robust for retrieving a complete list of desired and relevant items with respect to all query space.

中国新车销售电子商务渠道分析

近年来,互联网对汽车行业的传统销售渠道造成了一定的冲击,推动了汽车销售业的转型升级,影响着新车销售渠道向电子商务发展。在对中国新车销售电子商务平台进行分类的基础上,比较各类型电子商务平台具有的优势和劣势。鉴于汽车交易及用车服务的实体经济特征,汽车电商行业无法脱离线下服务,所以以线下资源为主导的常态化新车电商交易服务是未来汽车行业电子商务渠道的发展方向。