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The Impact of High-standard Free Trade Areas on the Diversification of China's Export Products: Expanding Market or Intensifying Competition?

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China & World Economy 2024年第4期32卷 33-67页

作者： Zhaobin Fan Ruimin Bian Hui Li International business school Jinan UniversityChina school of management Jinan UniversityChina school of Mathematics University of BirminghamUK

In the context of China's efforts to establish a global network of free trade areas and diversify its export products, this study explores the impact of trade agreement depth on China's export diversification. Building upon a trade model with multiproduct firms, we discover that the effect of trade agreement depth on export diversification is multifaceted, depending on the relative magnitude of the “market expansion effect” and the “competition intensification effect.” Through empirical analysis of China's exports to 132 countries (or regions) from 2000 to 2015, we find that the deepening of trade agreements affected China's export diversification negatively. This negative correlation was predominantly due to the similarity in comparative advantages between China and its trade partners, leading to the “competition intensification effect” overshadowing the “market expansion effect.” We also note that “natural” agreements, when deepened, were more likely to affect China's export diversification adversely than their “non-natural” counterparts. Moreover, as export diversification increased, the marginal impact of deepening trade agreements exhibited an inverted U-shaped trajectory.

关键词： export product diversification export similarity high-standard free trad areas trade agreement depth

The Sequential Pricing of Ride-Hailing System with Rental Service in the Context of Fleet Electrification

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Journal of Systems Science and Systems Engineering 2024年第1期33卷 77-105页

作者： Yaoyao Ku Peng Wu Qiang Ren Yiqing Wang business school Sichuan UniversityChengdu610065China

Surging demand and reduced capacity in the ride-hailing industry have prompted numerous ride-hailing platforms to build their own car-rental services catering to drivers who do not possess private vehicles. However, the trade-off between the ride-hailing service and the car-rental service is an important issue that is still unclear in theory. Moreover, ride-hailing platforms are transitioning towards all-electric fleets in the context of Carbon Neutrality goals and government regulations. This paper considers a ride-hailing system comprising a monopolist ride-hailing platform, an electric vehicle (EV) rental firm, and a gasoline vehicle (GV) rental firm. Furthermore, we build a stylized model to study the sequential pricing of the system. The equilibrium outcomes show the significant impact of the ride-hailing platform’s decision to continue or withdraw offering EV rental services on EV and GV drivers’ net earnings, rental prices, and wages. The ride-hailing platform providing EV rental services increases EV drivers’ net earnings but decreases the GV driver wages and rental prices. However, the EV rental service offered by the ride-hailing platform does not necessarily lead to an increased total profit for the system. The improved profitability of the system by the ride-hailing platform providing EV rental services is contingent upon lower rider prices and higher fuel costs. The ride-hailing platform’s EV rental services provision also effectively fosters the ride-hailing fleet’s electrification. Furthermore, as the number of riders increases, the ride-hailing platform should reduce the commission rate for EV drivers to maintain competitiveness and profitability.

关键词： Ride-hailing system car rental fleet electrification sequential pricing differential wage scheme

Advanced Algorithm for Parameters Estimation of Negative Binomial Distribution with High Dimensional Sparse Group Structure

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Journal of Systems Science & Complexity 2024年第5期37卷 2173-2195页

作者： LI Meiqi JIN Baisuo school of management University of Science and Technology of China

Negative binomial regression is a powerful technique for modeling count data, particularly when dealing with overdispersion. However, estimating the parameters for large-dimensional sparse models is challenging due to the complexity of optimizing the mean and dispersion parameter of the negative binomial distribution. To address this issue, the authors propose a novel approach that employs two iterations of the majorize-minimize(MM) algorithm, one for estimating the dispersion parameter and the other for estimating the mean parameters. These approaches improve the convergence speed and stability of the algorithm. The authors also use group penalty for variable selection, which enhances the accuracy and efficiency of the algorithm. The proposed method provides an explicit solution,simplifies the iteration process, and maintains good stability while ensuring algorithm ***, the authors apply the proposed algorithm to the zero-inflated model and demonstrate its promising predictive performance on specific data sets. The research has important implications for count data modeling and analysis in various fields, such as data mining, machine learning, and bioinformatics.

关键词： Group structure majorize-minimize (MM) negative binomial

Impacts of nuclear energy,greener energy,and economic progress on the load capacity factor:What we learn from the leading nuclear power economies?

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Geoscience Frontiers 2024年第3期15卷 322-335页

作者： Wei Teng Md.Monirul Islam LászlóVasa Shujaat Abbas Umer Shahzad school of business Qilu Institute of TechnologyJinan 250200ShandongChina Graduate school of Economics and management(GSEM) Ural Federal University(UrFU)YekaterinburgRussia Bangladesh Institute of Governance and management(BIGM) University of DhakaBangladesh Széchenyi Istvàn University Faculty of EconomicsHungary school of Economics Széchenyi Istvàn UniversityGyorHungary Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueCzech Republic Adnan Kassar school of business Lebanese American UniversityBeirutLebanon

The worldwide tremor of environmental degradation commonly represents the escalation of emissions levels and ecological footprints that harm the planet’s *** is because of using gigantic non-renewable energy resources,urbanization stream and massive economic activities in the major industrialized *** this situation,we investigate the influence of disaggregated energy measures,e.g.,renewable,and nuclear energy,income growth and urbanization on the load capacity factor(biocapacity divided by the ecological footprint)of major nuclear power countries,such as France,the USA,Canada,China,and Russia during *** this end,we utilize the CS-ARDL procedure because of the endogeneity,common correlation,non-stationarity in data and heterogeneity in panel *** contribute to considering the supply side dynamic of environmental degradation parameter,the load capacity,from the perspective of the top nuclear power nations that deviates our analysis from the prevailing scholarly ***,our findings confirm a significantly positive impact of renewable and nuclear energy on the load capacity factor in improving environmental ***,economic growth and urbanization negatively affect the load capacity dynamics in spurring environmental *** findings are robust across an alternative estimation technique,namely the Dumitrescu and Hurlin(DH)causation ***,we recommend formulating pragmatic policies to deter the detrimental effects of income and urbanization by properly utilizing sustainable energy resources to conserve the natural environment.

关键词： Renewable energy Economic growth Urbanization Load capacity Environmental degradation Top nuclear power countries

Source localization in signed networks with effective distance

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Chinese Physics B 2024年第2期33卷 577-585页

作者：马志伟孙蕾丁智国黄宜真胡兆龙 Zhejiang Normal University School of Computer Science and TechnologyJinhua 321004China Shanghai business school School of Business and EconomicsShanghai 200235China Jinhua Polytechnic School of Information EngineeringJinhua 321016China

While progress has been made in information source localization,it has overlooked the prevalent friend and adversarial relationships in social *** paper addresses this gap by focusing on source localization in signed network *** the topological characteristics of signed networks and transforming the propagation probability into effective distance,we propose an optimization method for observer ***,by using the reverse propagation algorithm we present a method for information source localization in signed *** experimental results demonstrate that a higher proportion of positive edges within signed networks contributes to more favorable source localization,and the higher the ratio of propagation rates between positive and negative edges,the more accurate the source localization ***,this aligns with our observation that,in reality,the number of friends tends to be greater than the number of adversaries,and the likelihood of information propagation among friends is often higher than among *** addition,the source located at the periphery of the network is not easy to ***,our proposed observer selection method based on effective distance achieves higher operational efficiency and exhibits higher accuracy in information source localization,compared with three strategies for observer selection based on the classical full-order neighbor coverage.

关键词： complex networks signed networks source localization effective distance

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Price Masking Strategy of Cross-Border E-Commerce Platform Financing

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Journal of Systems Science & Complexity 2024年第2期37卷 668-691页

作者： LI Jianbin HANG Zhouxin CHEN Zhiyuan XIAO Shan school of management Huazhong University of Science and TechnologyWuhan 430074China school of Economics and management Wuhan UniversityWuhan 430072China

E-commerce platform financing is a new service pattern of supply chain ***,this pattern may bring some new issues when considering the problem of cash flow shortage and financing difficulties of small and medium-sized *** enterprises use this service,they worry about the leakage of preferential wholesale price when applying the full loan amount and providing the true transaction *** on the model consisting of a supplier,a retailer and a cross-border e-commerce platform,the authors design a price masking strategy to prevent the retailer’s preferential wholesale price information from *** authors analyze the profit of the retailer and the platform before and after adopting the price masking *** authors find that the price masking strategy always benefits the ***,the optimal profit of the retailer and the platform are both affected by the loan interest ***,there exists a range of loan interest rates that can benefit both the retailer and the platform if the price masking strategy is *** research emphasizes that platform can expand the total business volume by allowing retailers to use price masking *** other words,there will be more and more retailers attracted by the strategy,which benefits the long-term growth of cross-border e-commerce platform financing.

关键词： Cross-border e-commerce e-commerce platform financing price masking supply chain finance

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Artificial intelligence and corporate risk-taking:Evidence from China

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China Journal of Accounting Research 2024年第3期17卷 50-71页

作者： Hong Chen Mengyun Zhang Jun Zeng Wenhua Wang school of Accountancy Yunnan University of Finance and EconomicsKunming 650221China school of management Zhaotong UniversityZhaotong 657000China business school University of International Business and EconomicsBeijing 100029China

The deep integration of artificial intelligence(AI)into enterprises presents both opportunities and challenges,making it a focal point of current *** study explores the impact of AI on corporate risk-taking,using data spanning 2010-2019 from A-share listed companies in *** findings suggest that AI significantly heightens companies’level of ***,financing constraints can amplify the relationship between AI and risk-taking,enhancing their sensitivity *** also significantly improves firms’investment efficiency and mitigates their underinvestment ***,mediation tests indicate that AI enhances risk-taking by diminishing firms’risk per***,we offer valuable insights into and references for accelerating the deep integration of AI into enterprises.

关键词： Artificial intelligence Risk-taking Financing constraints

Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community–resident complex networks

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Chinese Physics B 2024年第7期33卷 158-169页

作者：杨鹏范如国王奕博张应青 school of Economics and management Wuhan UniversityWuhan 430072China Postdoctoral Research Station China International Engineering Consulting CorporationBeijing 100000China school of business Administration Guizhou University of Finance and EconomicsGuiyang 550025China

We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

关键词： propagation dynamics complex networks public health events community structure

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Research on Alliance Decision of Dual-Channel Remanufacturing Supply Chain Considering Bidirectional Free-Riding and Cost-Sharing

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2913-2956页

作者： Lina Dong Yeming Dai school of business Qingdao UniversityQingdaoChina

This study delves into the formation dynamics of alliances within a closed-loop supply chain(CLSC)that encom-passes a manufacturer,a retailer,and an e-commerce *** leverages Stackelberg game for this exploration,contrasting the equilibrium outcomes of a non-alliance model with those of three differentiated alliance *** non-alliance model acts as a crucial benchmark,enabling the evaluation of the motivations for various supply chain entities to engage in alliance *** analysis is centered on identifying the most effective alliance strategies and establishing a coordination within these *** thoroughly investigate the consequences of diverse alliance behaviors,bidirectional free-riding and cost-sharing,and the resultant effects on the optimal decision-making among supply chain *** findings underscore several pivotal insights:(1)The behavior of alliances within the supply chain exerts variable impacts on the optimal pricing and demand of its *** comparison to the non-alliance(D)model,the manufacturer-retailer(MR)and manufacturer-e-commerce platform(ME)alliances significantly lower both offline and online resale prices for new and remanufactured *** adjustment leads to an enhanced demand for products via the MR alliance’s offline outlets and the ME alliance’s online platforms,thereby augmenting the profits for those within the ***,retailer-e-commerce platform(ER)alliance tends to increase the optimal retail price and demand across both online and offline *** specific conditions,alliance behavior can also increase the profits of non-alliance members,and the profits derived through alliance channels also exceed those from non-alliance channels.(2)The prevalence of bidirectional free-riding behavior largely remains constant across different alliance *** these models,bidirectional free-riding typically elevates the equilibrium prices in offline channel while negatively affe

关键词： Dual-channel remanufacturing supply chain alliance remanufactured products bidirectional free-riding cost-sharing