Global Economic Perspectives （Print:2972-4813 Online:2972-4821）is an open access, international academic journal dedicated to promoting academic research and knowledge exchange in the global economic field. This journal aims to provide an open platform for economists, scholars, and decision-makers to explore and discuss various aspects of global economic development. We welcome original and high-quality research papers, reviews, and review articles covering various fields of economic theory, methods, and applications.
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Effective Identification of Financial Risks in Financial Management
You-Ze Xing
In the face of the sweeping wave of financial globalization, the accurate identification and efficient management of financial risk have become top priorities for financial institutions and regulatory agencies. This paper delves deeply into the critical role of risk identification in financial management, outlines the types of financial risks commonly encountered in corporate management, and proposes a comprehensive set of effective identification strategies. By utilizing both quantitative and qualitative analysis, developing risk warning systems, enhancing internal control and auditing, integrating financial technology, and cultivating a risk-aware culture, financial institutions can precisely capture risks, strengthen the financial security defenses, and steer towards stability.
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Energy Cooperation and Integration among Latin American Countries
Shi-Zhe Sun
Energy cooperation and integration among Latin American countries is an increasingly important and promising topic. Energy cooperation not only contributes to the economic development and energy security of the region, but also strengthens regional stability and international cooperation. A deeper understanding of energy cooperation and integration in Latin America can help China better participate in this process.
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Research on Collaborative Management Mechanism of Scientific and Technological Innovation and Green Development in The Era of Digital Economy
Chun-Hai Lin
In the era of digital economy, about the internal relationship between scientific and technological innovation and green development, this study launched an in-depth discussion, and analyzed the rapid development of digital economy and as a new driving force to promote green development. This paper expounds the key role of scientific and technological innovation in promoting green development, and probes into the importance of innovation model in realizing environmental sustainability. At the same time, a theoretical framework of collaborative management is constructed, and corresponding management strategies are proposed to guide the effective integration of scientific and technological innovation and green development.
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Tourist Attractions Guide Digital Person Intelligent Recommendation and Customized Itinerary Innovative Exploration of Planning
Ya-Wen Zhang, Mao-Zheng Fu, Yi-Yun Zhang, Rui Dou, Tian-Hui Peng, Si-Si Feng
With the rapid development of information technology and the promotion of digital transformation, the traditional tourism industry is facing unprecedented changes and challenges. This paper will discuss the innovative practice of intelligent recommendation and customized itinerary planning of tour guides in tourist attractions, and analyze their role and potential in improving the tourism experience and promoting the digital transformation of the tourism industry. By combining artifcial intelligence, big data analysis and virtual tour guide technology, we propose an innovative digital person system for tour guides, which can provide tourists with intelligent scenic spot recommendation and personalized itinerary planning services. This paper will also elaborate on the objectives, plans, features and innovations of the project, and discuss the challenges and prospects in the project implementation process. Through the implementation of the project, we expect to bring a new tour experience to the tourism industry, improve tourist satisfaction, and promote the sustainable development of the tourism industry.
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Forecasting Fund Purchase Amount Using Arima Model
Rui He
Predicting fund purchase amounts is a significant challenge for economists and statisticians. Accurate predictions can lead to favourable outcomes for both companies and individuals. This paper proposes an ARIMA model to extract insights from the data and provide a method for forecasting fund purchase amounts over the coming days. We begin by examining the characteristics and structure of the dataset, calculating various statistical indices. Subsequently, we implement data transformation strategies to address outliers and missing values. Using R software, we analyse the data and develop several candidate ARIMA models. The most suitable model is selected based on the Autocorrelation Function (ACF), Partial Autocorrelation Function (PACF), and the Akaike Information Criterion (AIC). Finally, we evaluate the chosen model using Mean Squared Error (MSE) and various residual analysis plots. The residuals from our model indicate strong performance in predicting fund purchase amounts.
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Research on the Optimization Layout Strategy of Urban Green Spaces Based on Carbon Sequestration Benefits
Wei-Wei Peng, Qi-Tao Bing, Lei Fang, Hui Luo, Jie Luo
Against the backdrop of increasingly severe global climate change, the carbon sequestration benefts of urban green spaces are receiving more attention. This paper thoroughly explores the optimization layout strategy of urban green spaces based on carbon sequestration benefts. Through a detailed analysis of the close relationship between carbon sequestration benefts and urban green spaces, a series of specifc and professional optimization suggestions are proposed. The aim is to provide strong theoretical support and practical guidance for the planning and design of urban green spaces in the future.
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