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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

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Global export flow of Chilean copper:The role of environmental innovation and renewable energy transition

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Geoscience Frontiers 2024年第3期15卷 336-345页

作者： Shujaat Abbas Najia Saqib Umer Shahzad graduate school of Economics and Management Ural Federal UniversityRussian Federation Brandenburg University of Technology Chair of Energy EconomicsGermany Adnan Kassar school of business Lebanese American UniversityBeirutLebanon MEU Research Unit Middle East UniversityAmmanJordan Department of Finance College of Business AdministrationPrince Sultan UniversityRiyadhSaudi Arabia Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences Prague

Copper is one of the most important minerals that has extensive use in environment-friendly technologies and renewable energy *** global urgency for environmental and ecological conservation through renewable energy transition has considerably enhanced the importance of copper and articles *** is a major producer of *** contributes more than one-third to global ***,this study explores the export flow of Chilean copper in response to increasing demand side conditions in major 24 trading partners from 2002 to *** objective is realized by constructing an augmented model for import demand that incorporates bilateral real exchange rate along with real GDP,environmental innovation,and renewable energy transition in major import *** estimated results of panel quantiles via moments techniques reveal a significant positive impact with increasing coefficients at higher quantiles,while environmental innovation and renewable energy transition in trading partners show significant positive impact with decreasing values of coefficients at higher *** findings urge Chile to enhance production capacity of copper and other critical mineral and improve participation in global value chain to meet sharply increasing copper demand from environmental innovation and renewable energy transition.

关键词： Copper Export flow Renewable energy Environmental innovation Panel data Quantiles via moments

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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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Impact of natural resource mining on sustainable economic development:The role of education and green innovation in China

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Geoscience Frontiers 2024年第3期15卷 346-357页

作者： Xing Li Lina Ma Asif M.Ruman Najaf Iqbal Wadim Strielkowski school of Media&Linguistics Anhui University of Finance&EconomicsBengbuAnhuiChina graduate school of Management&Information Technology Hannan UniversityJapan school of Accounting Wuhan Textile UniversityWuhanHubeiChina business school University of OuluOuluFinland school of Finance Anhui University of Finance and EconomicsBengbu 233030AnhuiChina Africa-Asia Centre for Sustainability Business SchoolUniversity of AberdeenScotlandUK Department of Trade and Finance Faculty of Economics and ManagementCzech University of Life Sciences PragueKamycká129Prague 616500 PragueCzech Republic Centre for Energy Studies Cambridge Institute for Advanced StudiesKing str.23CB11AH CambridgeUK

As the extraction and usage of natural resources continue to be a double-edged sword-supporting economic growth but deteriorating the environment-we study the impact of natural resource mining on sustainable economic development in the largest(PPP)*** use province-level data from 2001 to 2020 and employ econometric panel techniques,such as fixed effects,two-stage least squares,and a battery of robustness *** further explore the potential effects of education and green innovation in mitigating/exacerbating the role of natural resources in the Chinese provincial *** results show that:(1)Natural resource mining hurts sustainable development,verifying the“resource curse”effect.(2)Green innovation and education restrain the negative impact of resource mining on sustainable development,turning the curse into a blessing.(3)A regional heterogeneity is observed in the impact of resource mining on sustainable development,showing more significant effects in the Western and low-urbanized regions.(4)Green innovation and education can assuage the curse effect of natural resources into gospel *** implications and recommendations are proposed in light of the findings to promote sustainable economic development in China.

关键词： Natural resource mining Sustainable economic growth Education Green innovation Resource curse China

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Stock Price Prediction Based on the Bi-GRU-Attention Model

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Journal of Computer and Communications 2024年第4期12卷 72-85页

作者： Yaojun Zhang Gilbert M. Tumibay graduate school Angeles University Foundation Angeles Philippines SolBridge International school of business Woosong University Daejeon South Korea

The stock market, as one of the hotspots in the financial field, forms a data system with a huge volume of data and complex relationships between various factors, making stock price prediction an area of keen interest for further in-depth mining and research. Mathematical statistics methods struggle to deal with nonlinear relationships in practical applications, making it difficult to explore deep information about stocks. Meanwhile, machine learning methods, particularly neural network models and composite models, which have achieved outstanding results in other fields, are being applied to the stock market with significant results. However, researchers have found that these methods do not grasp the essential information of the data as well as expected. In response to these issues, researchers are exploring better neural network models and combining them with other methods to analyze stock data. Thus, this paper proposes the ABiGRU composite model, which combines the attention mechanism and bidirectional gated recurrent unit (GRU) that can effectively extract data features for stock price prediction research. Models such as LSTM, GRU, and Bi-LSTM are selected for comparative experiments. To ensure the credibility and representativeness of the research data, daily stock price indices of BYD are chosen for closing price prediction studies across different models. The results show that the ABiGRU model has a lower prediction error and better fitting effect on three index-based stock prices, enhancing the learning efficiency of the neural network model and demonstrating good prediction stability. This suggests that the ABiGRU model is highly adaptable for stock price prediction.

关键词： Machine Learning Attention Mechanism LSTM Neural Network ABiGRU Model Stock Price Prediction

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Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on business Intelligence

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Tsinghua Science and Technology 2024年第1期29卷 185-196页

作者： Xuan Yang James A.Esquivel graduate school Angeles University FoundationAngeles City 2009Philippines Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 262700China

Personalized recommendation plays a critical role in providing decision-making support for product and service analysis in the field of business ***,deep neural network-based sequential recommendation models gained considerable ***,existing approaches pay litle attention to users'dynamically evolving interests,which are influenced by product attributes,especially product *** overcome these challenges,we propose a dynamic personalized recommendation model:***,we first embed product information and attribute information into a unified data ***,we exploit long short-term memory(LsTM)networks to characterize sequential behavior over multiple time periods and seize evolving interests by hierarchical LSTM ***,similarity values between users are measured through pairwise interest features,and personalized recommendation lists are generated.A series of experiments reveal the superiority of the proposed method compared withotheradvanced methods.

关键词： personalized recommendations evolving interests embedding LsTM networks

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Semi-Varying Coefficient Panel Data Model with Technical Indicators Predicts Stock Returns in Financial Market

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Journal of Systems Science & Complexity 2024年第4期37卷 1638-1652页

作者： HU Xuemei PAN Ying LI Xiang school of Mathematics and Statistics Chongqing Technology and Business UniversityChongqing 400067China Chongqing Key Laboratory of Social Economy and Applied Statistics Chongqing 400067China Research Center for Economy of Upper Reaches of the Yangtse River Chongqing Technology and Business UniversityChongqing 400067China

Accurately predicting stock returns is a conundrum in financial *** this conundrum can bring huge economic benefits for investors and also attract the attention of all circles of *** this paper the authors combine semi-varying coefficient model with technical analysis and statistical learning,and propose semi-varying coefficient panel data model with individual effects to explore the dynamic relations between the stock returns from five companies:CVX,DFS,EMN,LYB,and MET and five technical indicators:CCI,EMV,MOM,ln ATR,ln RSI as well as closing price(ln CP),combine semi-parametric fixed effects estimator,semi-parametric random effects estimator with the testing procedure to distinguish fixed effects(FE) from random effects(RE),and finally apply the estimated dynamic relations and the testing set to predict stock returns in December 2020 for the five *** proposed method can accommodate the varying relationship and the interactive relationship between the different technical indicators,and further enhance the prediction accuracy to stock returns.

关键词： Fixed effects random effects semi-varying coefficient panel data model stock returns technical indicators

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Quantifying the impacts of the COVID-19 pandemic lockdown and the armed conflict with Russia on Sentinel 5P TROPOMI NO_(2)changes in Ukraine

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Big Earth Data 2024年第1期8卷 58-81页

作者： Anh Phan Hiromichi Fukui graduate school of Engineering Chubu UniversityKasugaiJapan Chubu Institute for Advanced Studies and International Digital Earth Applied Science Research Center(IDEAS) Chubu UniversityKasugaiJapan

This study investigated variations in nitrogen dioxide(NO_(2))levels in Ukraine during two significant periods:the COVID-19 pandemic lockdown in 2020 and the armed conflict with Russia in *** and reprocessed Sentinel 5P data products were utilized for the analysis.A machine learning model was employed to generate a business-as-usual NO_(2)time series that accounted for meteorological *** the nine most populous cities in Ukraine,during the lockdown in 2020 we observed a moderation of increases in NO_(2)levels during the lockdown compared to the pre-lockdown *** at the same months during the conflict period in 2022,we identified much more significant reductions in NO_(2)level in these cities,averaging 12.1%for original and 18.1%for reprocessed *** our examination of major urban areas,we observed reductions in NO_(2)levels in areas surrounding coal power plants damaged or destroyed by the *** the major urban areas in Ukraine,we conclude that changes in daily anthropogenic activities due to the conflict-related events had more substantial impacts on NO_(2)levels than did COVID-19 lockdown.

关键词： NO_(2) COVID-19 Russia-Ukraine armed conflict weather-normalization

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A Novel Analysis Approach of Uniform Persistence for an Epidemic Model with Quarantine and Standard Incidence Rate

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Acta Mathematicae Applicatae Sinica 2024年第3期40卷 695-707页

作者： Song-bai GUO Yu-ling XUE Xi-liang LI Zuo-huan ZHENG school of Science Beijing University of Civil Engineering and ArchitectureBeijing 102616China school of Mathematics and Statistics Hainan Normal UniversityHaikou 571158China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China school of Mathematics and Information Science Shandong Technology and Business UniversityYantai 264005China school of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049China

Inspired by the transmission characteristics of the coronavirus disease 2019(COVID-19),an epidemic model with quarantine and standard incidence rate is first developed,then a novel analysis approach is proposed for finding the ultimate lower bound of the number of infected individuals,which means that the epidemic is uniformly persistent if the control reproduction number R_(c)>*** approach can be applied to the related biomat hem at ical models,and some existing works can be improved by using *** addition,the infection-free equilibrium V^(0)of the model is locally asymptotically stable(LAS)if R_(c)1.

关键词： uniform persistence epidemic model control reproduction number quarantine standard incidence rate

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

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Proceedings of business and Economic Studies 2024年第2期7卷 191-197页

作者： Xuan Chen Yijun Xia Tian Hou graduate school of Woosong University Daejeon 34606Republic of Korea

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.

关键词： Cross-border MSMEs Operational strategies Globalization Digitalization International market Cross-border trade,marketing,finance,and risk management Supply chain management

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