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Digital economy and carbon dioxide emissions:Examining the role of threshold variables

Geoscience Frontiers 2024年第3期15卷 389-400页

作者： Qiang Wang Jiayi Sun Ugur Korkut Pata Rongrong Li Mustafa Tevfik Kartal school of Economics and management China University of Petroleum(East China)Qingdao 266580China Osmaniye Korkut Ata University Faculty of Economics and Administrative Sciences Department of EconomicsMerkez80000 OsmaniyeTurkey Department of Banking and Finance European University of LefkeLefkeNorthern CyprusTR-10 MersinTürkiye Adnan Kassar school of business Lebanese American UniversityBeirutLebanon Department of Economics and management Khazar UniversityBakuAzerbaijan

Considering that previous literature has mainly focused on the impact of the digital economy(DE)on environmental degradation,ignoring the role of natural resources,this study uses two key factors(natural resource rent and anticorruption regulation)as threshold variables to reveal the effect of natural resources on the association between DE and carbon dioxide(CO_(2))*** doing so,the study covers 97 countries,uses annual data between 2003 and 2019,and applies a panel threshold *** outcomes present that the influence of the DE on CO_(2)emissions has a single-threshold effect(i.e.,there is an inverted U-shaped link between the DE and CO_(2)emissions)when natural resource rent is the threshold ***,the DE significantly increases CO_(2)emissions when the natural resource rent is at a low-to-medium level,but the DE suppresses CO_(2)emissions growth when natural resource rent exceeds the ***,the DE drives overall CO_(2)emissions growth when anticorruption regulation is the threshold variable and there are double thresholds for its impact on CO_(2)***,a rise in anticorruption regulation initially exacerbates the contribution of DE impact on CO_(2)emissions and then weakens it over *** on the results,the study proposes various implications,such as formulating a DE development strategy,considering natural resources in the development of the DE,and strengthening anti-corruption efforts in the field of environmental protection.

关键词： Digital economy Natural resource rent Anticorruption regulation CO_(2)emissions Threshold regression

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Credit risk prediction for small and medium enterprises utilizing adjacent enterprise data and a relational graph attention network

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Journal of management Science and Engineering 2024年第2期9卷 177-192页

作者： Jiaxing Wang Guoquan Liu Xiaobo Xu Xinjie Xing International business school Suzhou Xi'an Jiaotong-Liverpool UniversitySuzhou215028China Financial Technology Research Institute Fudan UniversityShanghai200433China management school University of LiverpoolChatham StreetLiverpoolL697ZHUK

Credit risk prediction for small and medium enterprises(SMEs)has long posed a complex research *** approaches have primarily focused on enterprise-specific variables,but these models often prove inadequate when applied to SMEs with incomplete *** this innovative study,we push the theoretical boundaries by leveraging data from adjacent enterprises to address the issue of data *** strategy involves constructing an intricate network that interconnects enterprises based on shared managerial teams and business *** this network,we propose a novel relational graph attention network(RGAT)algorithm capable of capturing the inherent complexity in its topological *** doing so,our model enhances financial service providers'ability to predict credit risk even in the face of incomplete data from target *** experiments conducted using China's SMEs highlight the predictive proficiency and potential economic benefits of our proposed *** approach offers a comprehensive and nuanced perspective on credit risk while demonstrating the advantages of incorporating network-wide data in credit risk prediction.

关键词： Risk management SMEC redit risk Transactional data Graph neural network

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Spatial Structure of Peer Networks and Academic Achievement Based on a Random Control Trial Experiment

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China & World Economy 2024年第3期32卷 67-97页

作者： Shilan Feng Ya Tan Zhi Wang Qinghua Zhang school of Marxism Peking UniversityChina school of International Trade and Economics University of International Business and EconomicsChina China Center for Economic Studies Fudan Universityand Shanghai Institute of International Finance and EconomicsChina Guanghua school of management Peking UniversityChina

This paper investigates whether changing the seating arrangement in a classroom can facilitate positive spillovers from top-performing students to others,using a field experiment conducted in a Chinese high *** study groups with balanced abilities,the treatment altered the spatial distribution by assigning the two top students to seats in the spatial center of each *** the reference groups where students were allowed to choose their own seating arrangements,the lowest performing were significantly less likely to sit next to a top student than they would be under a random *** results suggest that,in the treated groups,there could be enhanced academic spillovers from the top *** treatment especially benefited the two lowest performing students in science *** contrast,the treatment exerted negative effects on the test scores of the two middle-performing students,due to a disruption *** results suggest that the spatial layout of a peer network can have a significant impact on learning outcomes.

关键词： field experiment peer effects social interactions spatial structure test scores

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How Does ESG Performance Impact Corporate Financing Costs?An Empirical Study in China

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Journal of Systems Science and Information 2024年第2期12卷 229-244页

作者： Wei LI Mei MEI Xiaoyan YU Jiahao WANG Tiangeng (Becky) GENG school of Economics and management University of Chinese Academy of SciencesBeijing 100190China Institute of Medical Information&Library Chinese Academy of Medical SciencesBeijing 100005China business and management Royal HollowayUniversity of LondonSurrey TW200EXUK Krieger school of Arts and Sciences Johns Hopkins UniversityBaltimore MD 21218USA

In the background of the green transformation of the economy and society,the ESG performance of enterprises has been paid more and more attention in the investment ***,previous studies have inadequately explored how the ESG performance affects corporate financing *** on the information asymmetry theory,this paper analyzes the impact mechanism of ESG performance on corporate financing ***,taking 1044 A-share listed companies in2016–2020 as a sample,through the sorting and analysis of ESG report disclosure and rating data,the company’s ESG performance indicators are obtained,and an empirical model is built to test the relationship between ESG performance and corporate financing *** paper constructs a panel regression model using ESG rating data and corporate financial data and finds that in the overall sample,the higher the ESG performance,the lower the equity financing cost;The higher the ESG performance,the lower the debt financing *** addition,it also discussed the moderating effect of enterprise scale and media attention on the impact of ESG performance on enterprise financing *** empirical results show that the influence of company size on ESG performance on financing costs has a moderating effect and a positive moderating effect.

关键词： ESG performance financing cost corporate heterogeneity media attention

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Explainable Neural Network for Sensitivity Analysis of Lithium-ion Battery Smart Production

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1944-1953页

作者： Kailong Liu Qiao Peng Yuhang Liu Naxin Cui Chenghui Zhang school of Control Science and Engineering Shandong UniversityJinan 250061China Information Technology Analytics&Operations groupQueen’s University BelfastBelfast BT71NNUK

Battery production is crucial for determining the quality of electrode,which in turn affects the manufactured battery *** battery production is complicated with strongly coupled intermediate and control parameters,an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently *** paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven *** be specific,an explainable neural network named generalized additive model with structured interaction(GAM-SI)is designed to predict two key battery properties,including electrode mass loading and porosity,while the effects of four early production terms on manufactured batteries are explained and *** experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating *** addition,the importance ratio ranking,global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural *** to the merits of interpretability,the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior,further benefitting smart battery production.

关键词： Battery management battery manufacturing data science explainable artificial intelligence sensitivity analysis

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Relevance of hybrid artificial intelligence for improving the forecasting accuracy of natural resource prices

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Geoscience Frontiers 2024年第3期15卷 431-446页

作者： Mei Li Rida Waheed Dervis Kirikkaleli Ghazala Aziz school of management and Economics and Shenzhen Finance Institute The Chinese University of Hong KongShenzhen(CUHK-Shenzhen)China Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia European University of Lefke Faculty of Economic and Administrative ScienceDepartment of Banking and FinanceLefkeTurkey Department of business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia

The prediction performance of traditional forecasting methods is low due to the high level of complexity in a series of energy *** present study attempts to compare the traditional regression,machine learning tools and hybrid models to conclude the outperforming *** first step is to propose the effective denoising technique for Tadawul energy index,which has confirmed the superiority of CSD based ***,we use the CSD-ARIMA,CSD-ANN,and CSD-RNN as hybrid *** a result,CSD-RNN outperforms both other models in terms of MSE,MAPE,RMSE and *** findings are useful for policy makers,investors and portfolio managers to forecast the energy trends,and hedge the portfolio risk accordingly.

关键词： Hybrid artificial intelligence CSD denoising technique Forecasting Energy prices Saudi Arabia

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A nested partitioning-based solution method for seru scheduling problem with resource allocation

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Journal of management Science and Engineering 2024年第1期9卷 101-114页

作者： Zhe Zhang Kazuhiro Izui Xiaoling Song Yong Yin Xue Gong school Economics&management Nanjing University of Science and TechnologyNanjing210094China Department of Mechanical Engineering and Science Kyoto UniversityKyoto615-8540Japan Graduate school of business Doshisha UniversityKarasuma-ImadegawaKamigyo-kuKyoto602-8580Japan

This paper investigates the production scheduling problems of allocating resources and sequencing jobs in the seru production system(SPS).As a new-type manufacturing mode arising from Japanese production practices,seru production can achieve efficiency,flexibility,and responsiveness *** production environment in which a set of jobs must be scheduled over a set of serus according to due date and different execution modes is considered,and a combination optimization model is *** by the problem complexity and the characteristics of the proposed seru scheduling model,a nested partitioning method(NPM)is designed as the solution ***,computational studies are conducted,and the practicability of the proposed seru scheduling model is ***,the efficiency of the nested partitioning solution method is demonstrated by the computational results obtained from different scenarios,and the good scalability of the proposed approach is proven via comparative analysis.

关键词： Seru production system Scheduling Combination optimization model Nested partitioning method Resource allocation

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Role of circular economy,energy transition,environmental policy stringency,and supply chain pressure on CO_(2)emissions in emerging economies

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Geoscience Frontiers 2024年第3期15卷 209-220页

作者： Sunil Tiwari Kamel Si Mohammed Grzegorz Mentel Sebastian Majewski Irum Shahzadi Department of Tourism Studies School of Business StudiesCentral University of KeralaIndia Faculty of Economics and management Department of EconomicsUniversity of Ain TemouchentAlgeria Department of Quantitative Methods Faculty of ManagementRzeszow University of Technology35-959 RzeszowPoland Institute of Economics and Finance University of Szczecinul.A.Mickiewicza 6471-101 SzczecinPoland Department of business Administration IQRA University Karachi-75300Pakistan Department of Production EngineeringSão Paulo State University(UNESP)BauruBrazil

This paper investigates the effect of the circular economy on CO_(2)emissions growth by considering the role of energy transition,climate policy stringency,industrialization,and supply chain pressure from 1997 to 2020 using panel quantile Autoregressive Distributed Lags(QARDL)and the panel *** employ cointegration association in the long run among the variables,and the results of the two models confirm *** reveal that circular economy and climate policy stringency significantly negatively impact carbon *** the other hand,the energy transition,industrialization,and supply chain pressures are crucial to determining CO_(2)emissions in the short and long *** finding further explores that municipal waste generation recycling is considerable at the mean and upper 90th quantiles than the lower ***,the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to maintain the balance among circular economy,energy transition,environmental policy stringency,and supply chain pressure for reducing CO_(2)emissions without halting economic growth and sustainable ***,practical implications are reported through the lens of carbon neutrality and structural changes.

关键词： Circular economy Energy transition Supply chain Carbon emissions Panel QARDL

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A novel AgNPs/MOF substrate-based SERS sensor for high-sensitive on-site detection of wheat gluten

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Food Science and Human Wellness 2024年第2期13卷 681-687页

作者： Linglin Fu Yanzhuo Du Jinru Zhou Huan Li Minzi Wang Yanbo Wang Food Safety Key Laboratory of Zhejiang Province School of Food Science and BiotechnologyZhejiang Gongshang UniversityHangzhou 310018China Zhejiang Engineering Research Institute of Food&Drug Quality and Safety School of Management and E-BusinessZhejiang Gongshang UniversityHangzhou 310018China Zhejiang Dien Biotech Co. Ltd.Hangzhou 310030China

Gluten,known as the major allergen in wheat,has gained increasing concerns in industrialized countries,resulting in an urgent need for accurate,high-sensitive,and on-site detection of wheat gluten in complex food ***,we proposed a silver nanoparticles(AgNPs)/metal-organic framework(MOF)substrate-based surface-enhanced Raman scattering(SERS)sensor for the high-sensitive on-site detection of wheat *** detection occurred on the newly in-situ synthesized AgNPs/MOF-modified SERS substrate,providing an enhancement factor(EF)of 1.89×10^(5).Benefitting from the signal amplification function of AgNPs/MOF and the superiority of SERS,this sensor represented high sensitivity performance and a wide detection range from 1×10^(-15)mol/L to 2×10^(-6)mol/L with a detection limit of 1.16×10^(-16)mol/L,which allowed monitoring the trace of wheat gluten in complex food system without matrix *** reliable sandwich SERS sensor may provide a promising platform for high-sensitive,accurate,and on-site detection of allergens in the field of food safety.

关键词： Wheat allergy Gluten Surface-enhanced Raman scattering Metal-organic framework DNA recognition

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Optimized speed control for electric vehicles on dynamic wireless charging lanes: An eco-driving approach

Journal of Intelligent and Connected Vehicles

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Journal of Intelligent and Connected Vehicles 2024年第1期7卷 52-63页

作者： Lingshu Zhong Ho Sheau En Mingyang Pei Jingwen Xiong Tao Wang school of Systems Science and Engineering Sun Yat-sen UniversityGuangzhou 510399China Faculty of business and management UCSI UniversityKuala Lumpur 56000Malaysia Department of Civil Engineering and Transportation South China University of TechnologyGuangzhou 510641China school of Automotive and Transportation Engineering Hefei University of TechnologyHefei 230000China

As the adoption of Electric Vehicles(EVs)intensifies,two primary challenges emerge:limited range due to battery constraints and extended charging *** traditional charging stations,particularly those near highways,exacerbate these issues with necessary detours,inconsistent service levels,and unpredictable waiting *** emerging technology of dynamic wireless charging lanes(DWCLs)may alleviate range anxiety and eliminate long charging stops;however,the driving speed on DWCL significantly affects charging efficiency and effective charging ***,the existing research has addressed load balancing optimization on Dynamic Wireless Charging(DWC)systems to a limited *** address this critical issue,this study introduces an innovative eco-driving speed control strategy,providing a novel solution to the multi-objective optimization problem of speed control on *** utilize mathematical programming methods and incorporate the longitudinal dynamics of vehicles to provide an accurate physical model of *** objective functions are formulated to tackle the challenges at hand:reducing travel time,increasing charging efficiency,and achieving load balancing on DWCL,which corresponds to four control *** results of numerical tests indicate that a comprehensive control strategy,which considers all objectives,achieves a minor sacrifice in travel time reduction while significantly improving energy efficiency and load ***,by defining the energy demand and speed range through an upper operation limit,a relatively superior speed control strategy can be *** work contributes to the discourse on DWCL integration into modern transportation systems,enhancing the EV driving experience on major roads.

关键词： dynamic wireless charging(DWC) electric vehicle(EV) eco-driving speed control load balancing

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