Climate policy and cross-border lending:evidence from the syndicated loan market

Do cross-country differences in climate policy influence bank lending?This paper focusses on the period 2007–2017 and uses syndicated loan-level data to examine if the stringency of homecountry climate policies increases cross-border bank lending.Loan fixed effects allow us to disentangle loan demand from supply and to control for unobserved and observed loan and firm characteristics.I find evidence that a strict home-country climate policy is associated with an increase in banks’cross-border loan shares.This suggests that the transition to a low-carbon economy might be threatened if global coordination between governments is not enforced.

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.

Micro,Small,and Medium Enterprises’Cross-Border Business Strategies

This paper explores the operational strategies of cross-border micro, small, and medium enterprises (MSMEs). Against the backdrop of globalization and digitalization, cross-border trade has become one of the important pathways for many MSMEs to achieve growth and competitive advantage. Firstly, the paper outlines the concept and characteristics of cross-border MSMEs, as well as the analysis of their operational environment in the context of globalization, including political, economic, social, technological, environmental, and legal factors. Secondly, the paper proposes operational strategies for cross-border MSMEs, including international market selection and positioning, cross-border marketing strategies, supply chain management, cross-border financial management, and cross-border risk management. Finally, the paper summarizes the importance of effectively implementing these strategies for cross-border MSMEs to seize international market opportunities, reduce operational risks, and enhance competitiveness and profitability.

Local digital lending development and the incidence of deprivation in Kenya

In the developing world,vulnerable communities often lack access to regular income sources to cope with unforeseen events.Recent advancements in financial technology have enabled microcredit to be delivered via digital platforms.Although digital credit may quicken remote access to consumer credit without the need for collateral,little is known about its contribution to the welfare of underserved communities.This study examines the effects of local digital lending development on deprivation and explores the implications of these effects on rural inhabitants.The results show a negative association between local digital lending development and food deprivation on one hand and health deprivation on the other.The evidence suggests that local digital lending development can reduce the probability of food and health deprivation.Furthermore,the evidence reveals that inhabitants of rural communities benefit more from digital lending development.This study recommends the decentralization of financial inclusion policies as a pathway to promote digital lending at the local level.

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.

A hybrid decision support system with golden cut and bipolar q‑ROFSs for evaluating the risk‑based strategic priorities of fintech lending for clean energy projects

In the last decade,the risk evaluation and the investment decision are among the most prominent issues of efficient project management.Especially,the innovative financial sources could have some specific risk appetite due to the increasing return of invest-ment.Hence,it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending.Accordingly,this study aims to analyze a unique risk set and the stra-tegic priorities of fintech lending for clean energy projects.The most important contri-butions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets.The extension of multi stepwise weight assessment ratio analysis(M-SWARA)is applied for weighting the risk factors of fintech lending.The extension of elimination and choice translating reality(ELECTRE)is employed for con-structing and ranking the risk-based strategic priorities for clean energy projects.In this process,data is obtained with the evaluation of three different decision makers.The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA.Hence,the causality analysis between the criteria can also be performed in this proposed model.The find-ings demonstrate that security is the most critical risk factor for fintech lending system.Moreover,volume is found as the most critical risk-based strategy for fintech lending.In this context,fintech companies need to take some precautions to effectively manage the security risk.For this purpose,the main risks to information technologies need to be clearly identified.Next,control steps should be put for these risks to be managed properly.Furthermore,it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financi-ers integrated into the system.Within this framework,the platform should be secure and profitable to persuade financiers.

Digital Development Rights in Developing Countries:Where the Governance Rules for Cross-Border Data Flows

The digital development rights in developing countries are based on establishing a new international economic order and ensuring equal participation in the digital globalization process to achieve people's well-rounded development in the digital society.The relationship between cross-border data flows and the realization of digital development rights in developing countries is quite complex.Currently,developing countries seek to safeguard their existing digital interests through unilateral regulation to protect data sovereignty and multilateral regulation for cross-border data cooperation.However,developing countries still have to face internal conflicts between national digital development rights and individual and corporate digital development rights during the process of realizing digital development rights.They also encounter external contradictions such as developed countries interfering with developing countries'data sovereignty,developed countries squeezing the policy space of developing countries through dominant rules,and developing countries having conflicts between domestic and international rules.This article argues that balancing openness and security on digital trade platforms is the optimal solution for developing countries to realize their digital development rights.The establishment of WTO digital trade rules should inherently reflect the fundamental demands of developing countries in cross-border data flows.At the same time,given China's dual role as a digital powerhouse and a developing country,it should actively promote the realization of digital development rights in developing countries.

Analysis of the Development Environment and Trend of Cross-Border E-commerce in China

With the conclusion of the novel coronavirus pandemic and the increasingly complex market environment,China’s cross-border e-commerce has entered a new phase of development.The external landscape is evolving rapidly,and there is a gradual improvement in laws and regulations governing cross-border e-commerce,coupled with increased government support.Despite the impact of the COVID-19 pandemic on the market economy,overall development has been steadily improving.The Internet population is expanding,the online retail market is experiencing rapid growth,the consumption structure is undergoing transformation and upgrading,and the e-commerce market is demonstrating significant potential.The advancement of technologies such as big data,artificial intelligence,blockchain,and supply chain has provided more efficient operational support for the cross-border e-commerce industry.Against the backdrop of the emergence of new forms of cross-border e-commerce in China post-pandemic,this paper utilizes the PEST model to analyze the macro environment of cross-border e-commerce in China and project its future development trends.

A Comprehensive Measurement Study Analyzing Cross-Border Logistics in Harbin New District

The business environment is an important index for measuring the international competitiveness of a country or region.Improving the business environment not only helps the logistics industry reduce costs and increase efficiency but also promotes the transformation and upgrading of the logistics sector.This paper focuses on the business environment of cross-border logistics enterprises in Harbin New District as the research object.It constructs the business environment index system of logistics enterprises in Harbin New District through empirical research using the subjective weighting method.The research data are then analyzed to identify the shortcomings in optimizing the business environment of cross-border logistics in Harbin New District.The paper proposes countermeasures and suggestions,aiming to provide a decision-making reference for promoting the high-quality development and all-round revitalization of Harbin New District.

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.

关于我国P2P的风险控制探讨——基于“lending club”和“人人贷”的对比分析

P2P,英文叫做Peer-to-Peer lending,即点对点网贷或个人对个人网贷。近年来,P2P行业在我国呈爆发式增长,但跑路、自融、诈骗等问题平台迭出,如何完善平台风险控制,是摆在监管层、行业和平台自身的切实问题。本文通过分析P2P发展模式,结合我国P2P发展现状及面临的风险现状,将国外最大的P2P公司"Lending Club"和国内较知名的P2P公司"人人贷"进行风险控制模式对比,从P2P平台、行业、监管等方面提出风险管理对策,以促进P2P网贷更有序、更阳光的发展。

大数据赋能下网络借贷的价值共创模式研究——来自Lending Club的证据

在数字经济背景下,以网络借贷平台为对象研究网络多边平台的价值共创模式并对全球最大网贷平台Lending Club的百万条借贷数据进行机器学习,实证研究表明网络借贷平台上借款人、平台和投资者通过互动和资源整合实现了价值共创:借款人贡献了价值共创所需的大数据资源,平台提供大数据能力进行风险定价从而降低了信息不对称,投资者则利用自身经验知识参与价值共创。

P2P网贷平台盈利模式研究——以宜人贷和LendingClub为例

近年来,国内P2P网贷行业经历过爆发式增长之后,发展逐渐回归理性。随着监管制度逐渐完善,国内P2P网贷平台更加难实现盈利,盈利问题受到了整个社会的广泛关注。本文对发展较为成熟的两大P2P网贷平台宜人贷和Lending Club的盈利模式进行了深入研究,并对国内P2P网贷平台盈利模式的改善提出了相应的对策建议。

论P2P行业发展的机制风险及政策建议——兼谈Lending Club违规案例的启示

通过介绍Lending Club的业务模式和违规案例情况,分析P2P行业发展的固有业务局限和机制风险,针对国内P2P行业的监管现状及问题,对互联网金融行业监管提出细化专项整治、探索穿透式监管及强化信息披露和完善征信体系建设等方面的政策建议。

对中国P2P网贷平台的思考——基于Lending Club欺诈事件

Lending Club欺诈事件给美国甚至全球P2P行业的发展蒙上了一层阴影。放眼国内,近几年P2P发展迅速,但风险事件频发,现恰逢我国P2P网贷行业专项整治的特殊时期,从Lending Club事件中得到启示具有重要的现实意义。

我国P2P行业的风险防范与应对——基于Lending Club违规事件的探讨

近两年来,我国P2P理财行业经历着井喷式的发展,新平台一家接一家诞生,行业交易额屡创新高,受到多家风险机构以及知名互联网企业的高度关注,但与此同时行业问题也逐步显现,尤其是2015年以来跑路事件等各类问题的集中爆发,

A Consortium Blockchain Paradigm on Hyperledger-Based Peer-to-Peer Lending System

This paper focuses on how to use consortium blockchain to improve the regulation of peer-to-peer(P2 P) lending market. The partial decentralized consortium blockchain with limited pre-set nodes can well improve transparency and security, which is suitable for financial regulation. Considering irregularities of the P2P lending market, the Hyperledger-based Peer-to-Peer Lending System(HyperP2PLS) is proposed. First elaborate the application scenario and business logic of the system, where a national P2P Lending Trading Center will be established to integrate all transactions and information of P2P lending market. Then construct the system architecture consisting of the blockchain network, HTTP server, and applications. The algorithm of implementation process and the web application for users have been well illustrated. The performance analysis shows that HyperP2PLS can guarantee the reliability, safety, transparency and efficiency.

How signaling and search costs affect information asymmetry in P2P lending:the economics of big data

In the past decade,online Peer-to-Peer(P2P)lending platforms have transformed the lending industry,which has been historically dominated by commercial banks.Information technology breakthroughs such as big data-based financial technologies(Fintech)have been identified as important disruptive driving forces for this paradigm shift.In this paper,we take an information economics perspective to investigate how big data affects the transformation of the lending industry.By identifying how signaling and search costs are reduced by big data analytics for credit risk management of P2P lending,we discuss how information asymmetry is reduced in the big data era.Rooted in the lending business,we propose a theory on the economics of big data and outline a number of research opportunities and challenging issues.

Consumer lending efficiency:commercial banks versus a fintech lender

Fintechs are believed to help expand credit access to underserved consumers without taking on additional risk.We compare the performance efficiency of LendingClub’s unsecured personal loans with similar loans originated by banks.Using stochastic frontier estimation,we decompose the observed nonperforming loan(NPL)ratio into three components:the best-practice minimum NPL ratio,the excess NPL ratio,and a statistical noise,the former two of which reflect the lender’s inherent credit risk and lending inefficiency,respectively.As of 2013 and 2016,we find that the higher NPL ratios at the largest banks are driven by inherent credit risk,rather than lending inefficiency.Smaller banks are less efficient.In addition,as of 2013,LendingClub’s observed NPL ratio and lending efficiency were in line with banks with similar lending volume.However,its lending efficiency improved significantly from 2013 to 2016.As of 2016,LendingClub’s performance resembled the largest banks–consistent with an argument that its increased use of alternative data and AI/ML may have improved its credit risk assessment capacity above and beyond its peers using traditional approaches.Furthermore,we also investigate capital market incentives for lenders to take credit risk.Market value regression using the NPL ratio suggests that market discipline provides incentives to make less risky consumer loans.However,the regression using two decomposed components(inherent credit risk and lending inefficiency)tells a deeper underlying story:market value is significantly positively related to inherent credit risk at most banks,whereas it is significantly negatively related to lending inefficiency at most banks.Market discipline appears to reward exposure to inherent credit risk and punish inefficient lending.

Business English Talent Cultivation Research under the Background of Cross-border E-commerce

The meteoric rise of cross-border e-commerce has become one of the pillars of our foreign trade, while the lack of quali-fied talents in the industry may restrict its benign development. This paper analyzes the major problems existing in the BusinessEnglish talents cultivation in university, and offers advice for the construction of training modal for Business English talents basedon the cross-border e-commerce.