All of the articles in this proceedings volume have been presented at the 7th International Conference on Economic Management and Model Engineering (ICEMME 2025) during December 19 to 21, 2025 in Guangzhou, China. These articles have been peer reviewed by the members of the Scientific Committees and...

Under the impact of global financial crises, trade disputes, and public health events, economic policy uncertainty has intensified, leading to prominent phenomena of liquidity hoarding and credit rationing among commercial banks. This has caused credit resources to shift from the real to the virtual...

At present, the allocation efficiency of Chengdu’s sci-tech finance resources, along with the alignment between its service system and the demands of sci-tech innovation, still lacks quantitative verification. There is an urgent need to examine the efficiency of the city’s sci-tech finance system. Based...

This paper explores the issues and corresponding countermeasures in the management of fiscal deposits by local financial institutions. By analyzing the organizational structure and fiscal deposit operation mode of local financial institutions, it points out the main problems such as management system...

This article explores the application of big data in cost control and budgeting in power financial management. Firstly, it elaborates on the role of big data technology in financial management of power enterprises, and points out the need to build a financial center database with multiple modules to...

Periconceptional folic acid supplementation has been demonstrated as an effective intervention for preventing neural tube defects (NTDs). China has achieved notable success in this regard, primarily through the implementation of a distinctive tablet supplementation approach. This study examines the unique...

University grade management is a core component of academic administration, yet current systems still suffer from low cross-departmental coordination efficiency, data security and recovery risks inherent to centralized storage, inadequate traceability due to the lack of timestamped processes, and persistent...

In the context of increasingly fierce global cross-border e-commerce competition, the industry is facing core challenges such as homogenization competition, logistics bottleneck and diversification of consumer demand. In order to break through the dilemma, this study takes JOYSTAR, a children’s bicycle...

The Gross Ecosystem Economic Product (GEEP) accounting system is crucial for implementing the “Two Mountains” theory and advancing ecological civilization. This study develops a GEEP accounting framework that integrates agricultural ecosystem values for the Pearl River Delta urban agglomeration and calculates...

This study focuses on the impact of digitization level on firms’ substantive green innovation capability, using data from Chinese A-share listed companies from 2013 to 2023. The results show that firms’ digitization level has a significant impact on substantive green innovation, and this finding remains...

As female entrepreneurship rates rise globally, scholarly focus on this phenomenon has grown though research into the self-demands and intrinsic motivations shaping women’s entrepreneurial choices remains underdeveloped. This study explores how female entrepreneurs’ self-demands influence decision-making...

This study delves into the effect of financial literacy on older adults’ financial fraud exposure, and then investigates how social capital moderates this relationship. This study utilized quantitative survey data from the Wenjuanxing platform, collecting 184 valid samples primarily from Jiangsu Province...

As digital platforms increasingly permeate public governance systems, existing accountability mechanisms remain predominantly constrained to information disclosure and technical transparency approaches. This narrow focus systematically overlooks the critical dimensions of public participation and social...

This study investigates the impact of artificial intelligence (AI) application on the outward foreign direct investment (OFDI) of Chinese A-share listed firms from 2009 to 2023. Using a large panel dataset and a two-way fixed effects model, the empirical results demonstrate that AI application significantly...

With the rapid development of AI and big data technologies, the traditional teaching model of university mathematics is facing unprecedented opportunities. This paper proposes an innovative solution of embedding AI and big data into university mathematics teaching, aiming to break through the traditional...

Supply chain finance, as a core financial innovation model to alleviate the financing difficulties of small and medium-sized enterprises (SMEs) and enhance supply chain coordination efficiency, the accuracy of its credit risk assessment directly determines the safety and sustainability of financial services....

Focusing on the issue of final settlement in EPC projects under the construction management model, settlement problems refer to abnormal situations where payments are delayed beyond the final payment deadline, from the submission of settlement documents to the confirmation of payment amounts. A tripartite...

Data quality management is a solution that integrates methodology, technology, business and management. Through effective data quality control measures, data management and control can be carried out to eliminate abnormal and missing data quality issues, thereby enhancing the enterprise’s ability to...

This study examines the coupling coordination between artificial intelligence and carbon emission reduction across Chinese provinces from 2016 to 2022. Using a coupling coordination degree model and K-means clustering, the research identifies significant spatial heterogeneity, which is characterized...

For the mechanism of the “Anime Pilgrimage” behavior driven by the emotional projection of Generation Z ACGN on tourist destinations, 1747 user comment data were crawled and a theoretical model was constructed using programmatic grounded theory. A questionnaire survey was conducted for Generation Z and...

Credit card fraud detection is a critical challenge in financial security, exacerbated by the highly imbalanced nature of transaction datasets where fraudulent cases are rare. This paper proposes a system leveraging SMOTE for oversampling and XGBoost as an ensemble model, with a minor modification incorporating...

Based on stakeholder theory and group decision-making theory, this study constructs corporate social responsibility (CSR) evaluation indicators for manufacturing enterprises, comprising 5 first-level indicators and 16 second-level indicators, namely responsibilities to shareholders, customers, employees,...

Newcomers will have high expectations for their careers, In order to better understand the relevant factors affecting career growth prospects, this article is based on role identity theory, through three-stage data collection, an empirical test was conducted with a sample of 875 new employees who had...

As a crucial direction for the transformation and upgrading of the global automotive industry, the formulation and improvement of safety regulation policies for New Energy Vehicles (NEVs) are directly related to the healthy development of the industry and public safety of life and property. After undergoing...

In recent years, Northeast China has ushered in new opportunities and requirements for a new round of comprehensive revitalization. The Songliao Canal is a waterway project connecting the Songhua River and the Liaohe River, while also linking to the upstream Heilongjiang River, forming a key water transport...

Accurate terminology annotation is crucial for translators to enhance text processing efficiency and ensure translation quality control. Within the translation workflow, it stands as the most critical step in the pre-translation phase. Terminological competence is an essential “bread-and-butter skill”...

Intelligent waterway transportation system is a modern waterway transportation business form by the deep integration of traditional waterway transportation elements with modern high-tech. It includes five major elements: intelligent ships, intelligent navigation support, intelligent ports, intelligent...

It is an effective way to improve the safety operation of power system to tap into the potential of demand-side regulation capacity with a reasonable demand-side response mechanism, especially in power system with a high proportion of renewable energy resources. On basis of reviewing demand-side response...

Based on Expectation Violation Theory and Cognitive Appraisal Theory, this study examines how congruence between brand anthropomorphism (competence vs. warmth) and transgression type (performance vs. moral) shapes consumer reactions, with disappointment as a mediator. A 2×2 between-subjects experiment...

To address the widespread issue of low budget execution efficiency for special financial funds in local universities, this paper aims to construct a systematic management optimization framework. Through literature analysis, case study reference, and logical deduction, this research integrates the four...

Against the backdrop of global sustainable development, ESG (Environmental, Social, and Governance) has become a core dimension of enterprises’ international competitiveness. As the backbone of China’s economy, central state-owned enterprises (SOEs) must balance home country policies and international...

Does a subsidiary’s autonomy affect its strategic risk-taking? Aiming to answer this question, this study considers the data for the 2007-2020 period of the A share firms listed on Shanghai and Shenzhen stock exchanges. The study finds that subsidiaries’ autonomy positively affects subsidiaries’ strategic...

Traditional coordination-dominated project management struggles with complex, high-uncertainty projects. This paper proposes a Technology-Dominant Project Management Model (TDPMM), placing technical experts at the core to streamline decision-making and problem-solving. By integrating planning and execution...

Against the backdrop of the digital economy, the issue of information product piracy has become increasingly complex due to technological empowerment, seriously undermining the legitimate rights and interests of legitimate platforms and their enthusiasm for innovation. This study constructs a game model...

Drone-based last-mile delivery is highly sensitive to demand uncertainty and constrained by limited battery capacity, making the strategic location of drone bases critical. This study proposes a robust facility location model that jointly optimizes facility siting, drone assignment, and customer allocation...

This article focuses on the internal driving factors and mechanism of action of foreign-funded enterprises’ investment decisions in China’s logistics and manufacturing industries under the background of global supply chain reorganization. To investigate the impact of supply chain restructuring on foreign...

The green transformation of resource-based cities serves as the core mission in implementing the concept of green, low-carbon, and high-quality development, while also acting as a key lever for new-type productive forces to empower regional coordinated development. Taking Luzhou City in the upper Yangtze...

Ecosystem service value accounting serves as fundamental work for establishing sound ecological compensation mechanisms and exploring pathways to transform lucid waters and lush mountains into invaluable assets. This study focuses on the Qingping entrance community of Giant Panda National Park and employs...

Digital technology serves as a pivotal bridge for manufacturing enterprises to achieve servitization upgrades; however, this process is contingent upon internal capabilities and external environmental factors. Using a dataset of 139 Chinese A-share listed pharmaceutical firms from 2014 to 2024, this...

This study investigates the application of causal representation learning in financial auditing risk identification, aiming to address problems in traditional methods such as spurious correlations, limited interpretability, and unstable recognition. The proposed framework is built around causal-driven...

With China’s national energy transition and growing energy storage market demand, the industry has boomed but exposed deep-seated issues, hampering suppliers’ long-term customer relationships. Customer trust and repurchase intention are critical for its high-quality development, yet academic research...

This study employs machine learning text analysis to construct a comprehensive Digital Transformation Index (DTI) encompassing three dimensions—technology application, strategic orientation, and organisational change—based on data from small and medium-sized enterprises listed on the Shanghai and Shenzhen...