Proceedings of Business and Economic Studies

The Basic Characteristics of Stablecoins

Weimin Yu — 2026-03-11

The stablecoins is stable, because the issuing process needs a full backup of a fiat currency; it is private, because unlike the fiat currency, it is not supervised by the national organs but the issuer alone; it is convenient, because it’s faster than those payment tools without the blockchain technology; but the utmost important one of all these characteristics is, half-centralized. The main object of this study is to know the basic characteristics of the stablecoins and show clearly to readers what the stablecoins (and their issuers) are, and what they could do to the modern world.

Research on the Innovation of Statistical Analysis Methods at the Grassroots Level with the Aid of AI Technology

Meixia Zhang — 2026-03-11

Against the backdrop of the booming digital economy, the working environment of grassroots statistics has undergone significant changes. Faced with challenges such as the explosive growth of massive statistical data and diversified analytical demands, improving the efficiency of grassroots statistical data processing and the depth of analysis has become the primary goal of current reforms. The innovative development of artificial intelligence (AI) technology has brought more possibilities for the innovation of grassroots statistical analysis methods in the new era. This paper focuses on the application of AI technology in the innovation of grassroots statistical analysis methods. Based on an analysis of the main pain points in current grassroots statistical analysis methods, it proposes effective paths to promote the innovation of grassroots statistical analysis methods, aiming to provide a reference for relevant work.

Measurement of Urban-Rural Integration Development in Chongqing and Analysis of Influencing Factors

Laizhi Han — 2026-03-11

Taking Chongqing Municipality as a case study, this research utilizes relevant data on urban-rural integration from 2011 to 2022 to construct a measurement index for integrated urban-rural development. Employing a coupling coordination model and grey relational analysis, it investigates the level of integrated urban-rural development in Chongqing and its influencing factors.

Digital Economy Empowers Innovative Strategies for Activating Sleeping Resources in the Guangdong- Hong Kong-Macao Greater Bay Area

Jingran Ji — 2026-03-11

This study focuses on the innovative pathways through which the digital economy enables the activation of sleeping resources in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). It demonstrates the effectiveness of digital technologies in revitalizing idle resources by constructing a “Digital Bay Area” collaborative platform, integrating government and enterprise data resources, and analyzing three typical cases: China Mobile’s “5G + Smart Agriculture” pilot, Dongguan’s “Characteristic Industry IP + Digital Economy” model, and Shenzhen’s cross-border logistics upgrading practice. The research finds that resource activation requires supporting institutional innovations to break regional barriers, which can provide practical references for the optimal allocation of resources in the GBA and facilitate the region’s high-quality development.

Spatio-Temporal Evolution and Influencing Factors of Tourism Eco-Efficiency in China

Guoxia Wang — 2026-03-11

Against the backdrop of the continuous expansion of the tourism industry and the in-depth advancement of ecological civilization construction, improving tourism eco-efficiency has become a pivotal pathway to achieving the goals of high-quality development of the tourism industry and the construction of Beautiful China. Taking 30 provincial-level regions in China (excluding Xizang Autonomous Region, Hong Kong, Macao and Taiwan) from 2011 to 2023 as the research sample, this paper measures tourism eco-efficiency by applying the Super-SBM model with undesirable outputs, and identifies its key influencing factors by adopting the panel Tobit model. The findings reveal that scientific and technological level, human capital and environmental regulation exert a significant positive impact on tourism eco-efficiency, while economic development level has a notable negative effect, which reflects that an extensive tourism growth model at the expense of resources and the environment still exists in some regions at present.

Research on the Impact of Digital Economic Development in RCEP Countries on China’s Foreign Direct Investment

Xinyuan Zhang — 2026-03-11

China’s role in the global economy is expanding, with significant growth in foreign investment, especially within the framework of the Regional Comprehensive Economic Partnership (RCEP) consisting of 15 member states. This study examines China’s investment patterns in RCEP countries, where the impact of the digital economy on China’s Foreign Direct Investment (OFDI) has not been fully explored. Using the Network Readiness Index (NRI) to analyze the digital economic development level of RCEP countries and its impact on China’s investment strategies, this study fills this research gap. Dynamic panel data and fixed-effect models are adopted to empirically analyze the direct investment trends of China in 11 RCEP countries over 19 years (2003–2021) and their correlation with digital economic indicators. The research results provide insights for policymakers and enterprises to respond to the changing economic landscape in the RCEP region.

Evaluation of the Competitiveness of Cross-Border E-Commerce Industry in Western Provinces from the Perspective of Ecological Niche

Liting Yu — 2026-03-11

Against the backdrop of sustained global growth in cross-border e-commerce, the Western region, while demonstrating impressive growth rates, faces significant inter-provincial gradient imbalances. Based on niche theory, this paper constructs an evaluation system encompassing six dimensions: foreign trade, economic development, e-commerce logistics, talent environment, technological innovation, and openness to the outside world. It employs entropy weight-TOPSIS measurement and K-means++ clustering to assess the cross-border e-commerce competitiveness of 12 Western provinces from 2021 to 2025. The results reveal that Sichuan, Chongqing, and Shaanxi form a “Golden Triangle,” Guangxi and Yunnan constitute a growth belt, Xinjiang, Guizhou, Ningxia, and Gansu are identified as potential areas, while Qinghai, Tibet, and Inner Mongolia remain at a disadvantage. Sichuan and Chongqing share a niche overlap of 0.78, indicating the fiercest competition, whereas their overlap with Tibet is only 0.21, suggesting dislocation and complementarity. The Western provinces exhibit a spatial pattern of “dual-core leadership with gradient decline.” The study further proposes a four-dimensional differentiated policy pathway encompassing “channels, industries, institutions, and talent,” providing a decision-making basis for formulating cross-border e-commerce development plans in Western provinces.

Research on the Service Quality Control System of Supply Chain Finance for Small and Micro Enterprises Empowered by Big Data: A Case Study of Hebei Province

Xinyu Wang — 2026-03-11

To address the pain points of traditional supply chain finance, such as static indicator limitations, information asymmetry, and low financing efficiency, this paper focuses on the deep integration of big data technology and supply chain finance for small and micro enterprises (SMEs). Combining the practices of manufacturing and service industries in Hebei Province, through literature research, case analysis, and field investigations, it systematically analyzes the technical principles of big data-empowered supply chain finance and the logical reconstruction of subject roles. A service quality control system of “common indicators + industry-specific indicators” and a full-process solution of “data collection and governance-risk quantification and early warning-collaborative service optimization” are constructed. Empirical results show that the system achieved a risk early warning accuracy rate of 89.2% for financial institutions, and the financing success rate of manufacturing SMEs in Hebei Province increased by 37% compared with the traditional model, effectively alleviating the financing dilemma. The industry-adapted model and cross-regional data sharing plan formed by the research provide a replicable “Hebei Experience” for the high-quality development of supply chain finance.

Interaction and Improvement Strategies Between Science and Technology Service Industry, Human Capital, and Innovation Performance of Intelligent Manufacturing Enterprises

Yanan Wang — 2026-03-11

Against the backdrop of the deep integration of the knowledge economy and intelligent manufacturing, innovation has become the key for enterprises to build core competitiveness. As a crucial link connecting technological innovation and industrial application, the science and technology service industry plays an important supporting role in enhancing enterprises’ innovation performance. This study focuses on intelligent manufacturing enterprises, systematically exploring the internal mechanism through which the science and technology service industry affects enterprises’ innovation performance via the mediating role of human capital. Combined with the actual development of the intelligent manufacturing industry, it proposes multi-level and systematic improvement strategies from the aspects of optimizing the supply of science and technology services, enhancing the effectiveness of human capital, and improving the innovation ecosystem, providing theoretical basis and practical reference for promoting the high-quality development of intelligent manufacturing enterprises.

Exploration of the Path of Management Innovation in Enterprises Under Digital Transformation

Guoping Sun — 2026-03-11

With the rapid development of digital technology in China, digital transformation has gradually become an inevitable path for enterprises to break through development bottlenecks. As a core link running through the entire operation process, enterprise management innovation directly determines the effectiveness and depth of digital transformation. In view of this, based on the background of digital transformation, this paper analyzes the important significance of enterprise management innovation from different dimensions, sorts out the current dilemmas faced by enterprise management innovation combined with practical cases, and finally proposes systematic management innovation paths from the aspects of strategic reconstruction, organizational optimization, data empowerment, and talent cultivation, so as to provide guidance for enterprises to realize digital transformation and high-quality development.

The Hidden Costs of the Generative AI Boom: How Overinvestment Exacerbates the Digital Divide in Developing Countries

Hao Zhou — 2026-03-11

Between 2024 and 2025, a global investment frenzy in generative artificial intelligence (AI) has emerged, with governments and enterprises worldwide competing to deploy large language models, AI chips, and intelligent applications. However, in developing countries with limited resources, such a “technological leapfrogging” strategy may entail severe structural risks. This paper argues that blind pursuit of cutting-edge AI not only diverts investment from critical basic digital infrastructure (including broadband networks, power supply, and digital literacy education) but also risks widening the digital divide across urban-rural, regional, and social groups. By analyzing policy practices and practical dilemmas in India, Vietnam, selected African nations, and central and western regions of China, this study reveals that the lack of a technology strategy aligned with developmental stages can easily lead to a dual predicament: “underutilization of advanced technologies” coexisting with “collapse of basic capabilities”. The paper advocates for a “stratified AI strategy”, prioritizing the consolidation of digital foundations before selectively developing lightweight or high social-return AI applications, to achieve inclusive technological progress.

A Study on the Impact of ESG Performance on Debt Financing Costs: Based on the Moderating Effect of Green Credit Policies

Ruijue Zhang — 2026-03-11

This study empirically examines the impact of corporate ESG performance on debt financing costs using a sample of non-financial listed companies on China’s A-share market from 2009 to 2024, with a particular focus on the moderating effect of the 2012 Green Credit Guidelines implementation. The findings reveal: (1) Strong ESG performance significantly reduces corporate debt financing costs, a conclusion that remains robust after a series of stability tests and addressing endogeneity issues. (2) Green credit policies mitigate the debt cost-saving effect of ESG performance. (3) Heterogeneity analysis indicates that this policy moderation effect is more pronounced among non-state-owned enterprises and companies in western China. This study not only provides direct financial incentive evidence for companies to actively pursue ESG strategies but also offers decision-making references for regulators to further refine green finance policy frameworks and implement differentiated guidance.

Innovation and Development Strategies for Enterprise Economic Management in the Digital Economy Context

Yunhu Wang — 2026-03-11

In the current era of rapid digital technology iteration, the digital economy has become the core driving force for global economic growth. The deep integration of technologies such as big data and artificial intelligence (AI) with the real economy has reshaped the development environment and competitive landscape of enterprises. China is vigorously promoting the construction of a digital China, and digital transformation has become the only way for enterprises to achieve high-quality development. Traditional enterprise economic management models have become difficult to adapt to the development needs of the digital era, facing many challenges such as low management efficiency and delayed decision-making. Against this backdrop, innovation and optimization of enterprise economic management are particularly urgent. Based on the development trend of the digital economy, this paper analyzes the new situation faced by enterprise economic management, explores the core impact of the digital economy on enterprise economic management, explores paths for management innovation, and proposes targeted development strategies. It provides theoretical reference and practical guidance for enterprises to rely on digitalization to enhance their core competitiveness, helping enterprises achieve sustainable development in the wave of digitalization.

Financial Risk Prediction and Control Optimization of Listed Seed Companies Based on Machine Learning Algorithms: An Empirical Analysis Using Time-Series Data

Junrang Niu — 2026-03-11

The seed industry is a core strategic sector for national food security. Due to high R&D investment, long operating cycles, and dual impacts from natural and market factors, listed seed companies exhibit distinct financial risk characteristics with temporal dynamics. This study takes 6 leading A-share listed seed companies as research samples, using time-series financial data from authoritative databases such as CSMAR and Wind covering Q1 2016 to Q3 2024. Integrating enterprise risk management (ERM) theory and anomaly detection theory, a financial risk evaluation index system is constructed, encompassing 6 dimensions: solvency, profitability, operational capacity, growth potential, cash flow capacity, and seed industry-specific indicators. After dimension reduction via factor analysis, three predictive models, logistic regression (LR), XGBoost, and LSTM time-series model, are established for empirical research on financial risk prediction, with their performance compared. The results show that the LSTM model achieves the optimal fit for time-series financial data of listed seed companies, with a test set AUC value of 0.889, significantly outperforming the traditional LR model (0.758) and XGBoost model (0.821). Incorporating industry-specific indicators such as R&D investment ratio and seed production cost rate improves the model’s prediction accuracy by 11.8%, verifying the importance of industry-specific indicators for risk prediction. Based on empirical findings, optimization strategies for financial risk control of listed seed companies are proposed from enterprise, industry, and regulatory perspectives, providing empirical reference and practical pathways for constructing intelligent financial risk early warning systems in the seed industry.

Analysis of China’s Sporting Goods Export Strategies to Indonesia under the RCEP Framework

Yuqiao Wang — 2026-03-11

This paper examines the localization strategies and performance of China’s sporting goods exports to Indonesia against the backdrop of the RCEP agreement. By analyzing the consumption characteristics, competitive landscape, and trade environment of the Indonesian market, it explores localization pathways concerning product positioning, channel layout, and pricing strategies. The research aims to provide theoretical foundations and practical recommendations for Chinese sporting goods enterprises to expand their presence in the Indonesian market and enhance international competitiveness under the RCEP framework.

Digital Reconfiguration of Matching Practices in Platform-Based Logistics Enterprises: A Routine Perspective

Taining Jing — 2026-03-11

In low-frequency, high-risk business-to-business (B2B) platform logistics, the matching of transportation resources with customer demand relies heavily on the experiential judgment of operational personnel. While such reliance ensures flexibility, it also poses challenges, including difficulties in information integration, high cross-departmental coordination costs, and limited traceability of decision-making processes. Existing studies have primarily examined the formation mechanisms of organizational routines or the effects of digitalization on organizational action patterns. However, there is a lack of systematic analysis of how digital systems gradually embed into experience-dependent B2B logistics matching, reconfiguring specific workflows and collaboration practices. Adopting an organizational routines perspective, this study conducts a single-case study of a maritime petrochemical logistics platform. It examines how the progressive embedding of a digital system reconfigures matching practices by integrating dispersed information, generating system-generated plans, and establishing a shared informational basis. This process reshapes the sequence of actions, the locus of judgment, and collaboration modes, stabilizing experiential judgment while enhancing traceability and transmissibility. The findings provide an empirical account of the intervention path of digital technology in experience-dependent platform logistics, offering insights for digital transformation in comparable operational contexts.

The Impact of Climate Transition Pressure on Innovation Participation of Small Enterprises in China: The Moderating Role of Digital Finance

Chenxi Yang — 2026-03-11

This paper examines the impact of climate transition risks on innovation participation of micro and small enterprises (SMEs) in China and explores whether digital finance can mitigate these impacts. Using firm-level data from the 2014 China SME Survey, combined with provincial digital finance inclusion index data, the study employs a Probit model to analyze firm innovation participation and uses an OLS framework to examine the impact of financing constraints. To capture the heterogeneity of transition pressures, the study categorizes firms based on the transition pressures of their respective industries. The results show that digital finance significantly increases the likelihood of SMEs participating in innovation and alleviates their financing constraints. While climate transition risks themselves do not have a significant direct impact on innovation participation, the interaction between digital finance and high transition risk is positive and statistically significant, indicating that digital finance has a stronger innovation-promoting effect on firms in high-risk industries. Mechanism analysis shows that digital finance primarily supports innovation by alleviating overall financing frictions faced by SMEs. These findings highlight the complementary role of digital finance in supporting firms’ innovation in response to climate transition pressures and provide policy implications for promoting financial inclusion and facilitating a smooth low-carbon transition in emerging economies.

How to Combine Digital Strategy and Sustainable Strategy in Luxury Companies

Wenbo Liang — 2026-03-11

This article aims to figure out how luxury brands survive and develop today when traditional business and sales models have become very inefficient. Also, more and more people and governments realize that sustainability is urgent and essential. Therefore, this report will do some research to study some luxury brands’ digital strategies and sustainable strategies. The research question is how to combine digital strategies and sustainable strategies to help luxury brands overcome the challenge and catch the chance of the external environment changes. This essay mainly studies eight luxury brands divided into two industries. One is the fashion industry containing Armani, Hermes, Louis Vuitton and Prada. Another one is the furniture industry, which contains Cassina, Moroso, Poltrona Frau, and Visionnaire. This research report will go through those brands’ official websites and look for other research papers to analyze the digital strategies and sustainability strategies of those luxury brands. The findings reveal that the luxury brands in the fashion industry perform better than the luxury brands in the furniture industry. Also, some digital strategies are kind of sustainable to some degree. Furthermore, sustainable strategies or implementations could be promoted by digital strategy.

Research on Corporate Equity Investment Management and Risk Control System

Qiao Zhou — 2026-03-11

Corporate equity investment holds great significance for the achievement of corporate strategic objectives and the growth and expansion of the company, influencing its competitive position in the industry. This article, starting from the management of corporate equity investment, explores the key aspects of pre-investment, in-investment, and post-investment management of equity investment, as well as the construction of a risk control management system. It also proposes optimization suggestions for corporate equity management.

Research on the Impact Mechanism and Optimization Path of Audit Quality from the ESG Perspective

Lei Zhu — 2026-03-11

Under the backdrop of the popularization of the concept of global sustainable development and the increase of capital market requirements for non-financial information disclosure of enterprises, ESG (environment, society and governance) has become the core index to measure the comprehensive competitiveness and sustainable development ability of enterprises. As an important guarantee for the quality of information disclosure in the capital market, audit quality is directly related to the protection of investors’ rights and interests and the efficiency of resource allocation. From the three dimensions of ESG information mechanism, internal governance mechanism and risk transmission mechanism, this paper systematically analyzes the impact path of ESG on audit quality, combs the existing problems of audit practice from the perspective of ESG, and puts forward targeted optimization suggestions combined with relevant research conclusions.

Research on the Green Transformation Path and Practical Effects of the MICE Industry Under the Dual Carbon Goals

Ziting Wang — 2026-03-11

Under the guidance of the “dual carbon” strategy, the MICE industry has become a key carbon emission sector due to issues such as high energy consumption of venues and one-time use of exhibition booths. Green transformation is an inevitable choice for the sustainable development of the industry. This paper clarifies the evolutionary logic of three stages in the research on the industry’s green transformation, focuses on four core dilemmas including industry cognition, technology cost, accounting system, and regional balance, constructs a core transformation path of “full-process resource recycling-multi-stakeholder collaboration-digital technology empowerment”, supports with regionally differentiated optimization strategies, and establishes a theoretical framework of “policy orientation-path design-effect evaluation”. The research not only provides implementable full-process carbon reduction solutions for MICE enterprises but also offers decision-making support for relevant departments in formulating policies, helping the industry achieve the unity of environmental, economic, and social benefits, and continuously contributing industrial strength to the dual carbon goals.

Research on Improving the Service Quality of Guiyang’s Campsites Based on the KANO Model

Mengmeng Shu — 2026-03-11

In recent years, driven by the dual factors of increased public health awareness and an upgraded consumption structure, the camping economy has witnessed explosive growth. However, the structural contradiction between the rapid expansion of the industry scale and the lagging service quality has become increasingly prominent. Addressing these issues, this study systematically reviews relevant literature both domestically and internationally, quantifies collected data through a questionnaire survey method, and compiles statistics on tourists’ basic information and their engagement with campsites. Subsequently, the KANO model is employed to classify service quality indicators into attributes, and the Better-Worse index analysis is utilized to further quantify the impact of each indicator on user satisfaction sensitivity, resulting in a ranking of satisfaction sensitivity. This approach clarifies which service improvements can yield the greatest increase in satisfaction.

Research on the Construction of Digital Collaborative Mechanism for New Villagers’ Participation in Rural Governance Under the Background of Rural Revitalization

Jinyun Yang — 2026-03-11

Against the backdrop of the full implementation of the rural revitalization strategy, achieving effective governance serves as a pivotal measure to consolidate the achievements of poverty alleviation and advance the modernization of agriculture and rural areas. China boasts a profound accumulation of township sage culture, which provides valuable resources for enhancing the efficiency of rural governance, while the empowerment of digital technology acts as a driving force for rural development. However, there currently exists several issues in the digital collaboration between the participation of new township sages in rural governance and rural digitalization, such as ambiguous identity positioning, unsmooth communication channels, and inefficient resource integration, stemming from the lack of a normalized communication mechanism and the lag in technological empowerment. This study focuses on the construction of a digital collaboration mechanism, aiming to explore how to utilize digital tools to build a digital collaboration platform for new township sages’ participation in rural governance. This research seeks to expand the breadth, depth and effectiveness of their participation, create a smooth and sustainable governance environment, and stimulate the driving force for rural revitalization.

Corporate Digital Transformation Improves ESG Performance in China

Jingwen Chen — 2026-03-11

Under the digital economy background and “dual-carbon” goals, digital transformation is a critical approach for companies to reach a high-quality development. This study analyzes the relationship between digital transformation and corporate Environmental, Social, and Governance (ESG) performance, using digital transformation decision-making data extracted via Python text analysis. A fixed-effects model is utilized to examine if there is a postive effect between corporate digital transformation and ESG performance with panel data from China’s A-share listed companies from 2013 to 2021, including its mechanisms and pathways. Although a few research have revealed the active relationship in this field, the validity of data source is from Bloomberg more, but less from Huazheng database which is specialised for Chinese enterprises. The research yields the following findings: Firstly, digital transformation in listed companies significantly enhances ESG performance and the conclusions remain valid after conducting robust tests including variable substitution. Secondly, digital transformation enhances corporate ESG performance by easing financing constraints and boosting innovation capabilities. Thirdly, state-owned enterprise and large corporations both exert positive pronounced effects. These findings are conducive for managers to better decision-making.

Marketing Strategy Research on the Integration of Intangible Cultural Heritage Craft and Modern Market of Gaocheng Palace Noodles

Xinyang Zhang — 2026-03-11

Taking Gaocheng Palace Noodles, an intangible cultural heritage of Hebei Province and a national geographical indication product, as the research object, this paper sorts out the product overview and market environment, and formulates a marketing strategy for it. Relying on advantages such as a long history, unique craftsmanship and rich nutrition, Gaocheng Palace Noodles has formed a diverse consumer group. By using PEST and SWOT analysis, the paper identifies the development opportunities as well as problems such as short shelf life and insufficient channel coverage. With the help of the STP model, the positioning of medium and high-end hand-made noodles is established, and a differentiated marketing strategy is constructed from the 4P perspective. The research shows that cultural empowerment and channel integration are the core development paths, and it is necessary to balance traditional craftsmanship with modern production, which can provide practical references for the sustainable development of the industry.