World Journal of Economics and Business Research
type: channel
description: World Journal of Economics and Business Research (WJEBR) is an international peer-reviewed, open access journal.
publisher: UPub Science
language: en
publication name: World Journal of Economics and Business Research
issn: 2960-0073
items: HOW DOES THE GOVERNMENT GUIDANCE FUND DRIVE THE UPGRADING OF CORPORATE HUMAN CAPITAL? — BASED ON THE PERSPECTIVE OF EMPLOYEE EDUCATION LEVEL
items: A COMBINED EWM AND MULTIVARIATE STATISTICAL APPROACH FOR EVALUATING GREEN FINANCE AND ECONOMIC SUSTAINABILITY
items: SPATIOTEMPORAL EFFECTS OF DIGITAL FINANCIAL INCLUSION AND FISCAL DECENTRALIZATION ON THE URBAN–RURAL INCOME GAP
items: INVESTIGATION AND COUNTERMEASURES ON THE PROBLEM OF INCREASED LITCHI YIELD BUT NOT INCREASED INCOME: TAKING CHINA MAOMING LITCHI AS AN EXAMPLE
items: ALGORITHMIC GOVERNANCE AND THE RECONFIGURATION OF GLOBAL VALUE CHAINS: A CASE STUDY OF SHEIN’S ON-DEMAND MANUFACTURING MODEL
items: BIG DATA IN INCLUSIVE FINANCE AND FINANCIAL ECOSYSTEMS CHALLENGES AND FUTURE DIRECTIONS
items: FROM "BROWSING" TO "PURCHASING": BARRIERS AND ENHANCEMENT STRATEGIES FOR CONSUMERS' PURCHASE INTENTION IN INTANGIBLE CULTURAL HERITAGE E-COMMERCE
items: THE OPTIMISATION OF SYNERGISTIC MECHANISMS FOR THE LOW-ALTITUDE ECONOMY TO EMPOWER NEW-QUALITY PRODUCTIVE FORCES IN SHENZHEN
items: THE IMPACT OF ESG PERFORMANCE ON ENTERPRISE PERFORMANCE: BASED ON THE MEDIATING EFFECT OF GREEN INNOVATION
items: YOUNG AND MIDDLE-AGED ADULTS' AWARENESS OF DOMESTIC BRANDS AND THEIR CONSUMPTION INTENTIONS
items: THE BCPE FRAMEWORK AND THE CONSTRUCTION OF AN AUTONAMOUS KNOWLEDGE SYSTEM FOR CHINA’S ECONOMIC DEVELOPMENT
items: EXECUTIVES’ ENVIRONMENTAL BACKGROUNDS AND GREEN INNOVATION BUBBLES: EVIDENCE FROM CHINESE LISTED FIRMS
items: CONSTRUCTION OF JUNEAU’S TOURISM SOCIAL COST-ECONOMIC BENEFIT MODEL AND KEY FACTOR ANALYSIS BASED ON AHP AND MULTIVARIABLE ADJUSTMENT
items: NEW-QUALITY PRODUCTIVE FORCES AND AGRITOURISM INTEGRATION: INSIGHTS FROM GREENFOOD FARM
items: DEVELOPMENT COUNTERMEASURES FOR THE CONSTRUCTION OF ZHENGZHOU NATIONAL LOGISTICS HUB
items: THE DETECTION OF HOUSEHOLD ECONOMIC ANOMALIES BASED ON THE CFPS2022 DATABASE: AN EXAMPLE OF INCOME-CONSUMPTION DEVIATION PATTERN ANALYSIS
items: A HOUSING PRICE PREDICTION MODEL BASED ON BACKPROPAGATION NEURAL NETWORK
items: AN EMPIRICAL INVESTIGATION INTO THE STRATEGIC IMPACT OF RECIPROCAL TRADE COUNTERMEASURES ON U.S. ECONOMIC RESILIENCE AND MANUFACTURING RE-INDUSTRIALIZATION
items: THE IMPACT MECHANISM OF SMES’ PERSONALIZED TAX SERVICE DEMAND UNDER THE BACKGROUND OF DIGITAL ECONOMY
items: DYNAMIC DEPLOYMENT OF FINANCIAL PERSONNEL BASED ON THE HOLT-WINTERS ALGORITHM-PROPHET-LSTM PREDICTIVE MODEL
items: GREEN FINANCE POLICY AND TECHNOLOGICAL INNOVATION: EVIDENCE FROM 35 CHINESE AUTOMOTIVE FIRMS (2013–2023)
items: THE IMPACT OF TWO-WAY FDI INTERACTIVE DEVELOPMENT ON CHINA’S DIGITAL ECONOMY
items: NEW PRODUCTIVITY ENABLES HIGH QUALITY DIGITAL AGRICULTURE IN JILIN PROVINCE DEVELOPMENT LOGIC AND IMPLEMENTATION COUNTERMEASURES
items: TECHNOLOGY SELECTION OF ENTERPRISE JAVA WEB FRAMEWORKS BASED ON EVOLUTIONARY PATH ANALYSIS
items: IMPACT OF DIGITAL ECONOMY DEVELOPMENT ON POLLUTION REDUCTION AND CARBON REDUCTION
items: THE IMPACT OF DIGITAL INCLUSIVE FINANCE ON URBAN INNOVATION AND ENTREPRENEURSHIP
items: A HYBRID GA-PSO AND COUPLING COORDINATION FRAMEWORK FOR MULTI-OBJECTIVE OPTIMIZATION IN SUSTAINABLE TOURISM SYSTEMS
items: EMPIRICAL ANALYSIS ON THE EFFECT AND MECHANISM OF GREEN FINANCE RELATING TO REDUCTION AND CARBON EMISSION REDUCTION RELYING ON THE EMPIRICAL EVIDENCE FROM CHINESE LISTED COMPANIES
items: FROM DUAL-CARBON MANAGEMENT TO GREEN INNOVATION: THE SYNERGISTIC PATHWAYS OF CARBON ACCOUNTING AND CARBON FOOTPRINT IN TECHNOLOGY ENTERPRISES
items: BILATERAL DIPLOMATIC RELATIONS AND CROSS-BORDER M&AS: EVIDENCE FROM CHINA

HOW DOES THE GOVERNMENT GUIDANCE FUND DRIVE THE UPGRADING OF CORPORATE HUMAN CAPITAL? — BASED ON THE PERSPECTIVE OF EMPLOYEE EDUCATION LEVEL
type: item
description: As a pivotal policy-based financial instrument, whether government guidance funds (GGF) can facilitate human capital upgrading is essential for assessing the efficiency of fiscal capital allocation. Utilizing a sample of A-share listed companies in Shanghai and Shenzhen from 2006 to 2023, this study employs a two-way fixed effects model to examine the impact of GGF investment on employees’ education level and its underlying mechanisms. The empirical results demonstrate that GGF investment has significantly increased the proportion of highly educated talent within enterprises, a finding that remains robust across various sensitivity tests. Mechanism analysis reveals that this promotional effect stems from a certification effect prior to investment, which bolsters corporate reputation through government endorsement to attract talent. Post-investment, the funds exert resource and governance effects, indirectly optimizing human capital structures by mobilizing policy resources and incentivizing long-term innovation. Heterogeneity analysis further indicates that this effect is more pronounced among high-tech enterprises, firms with executives possessing overseas backgrounds, and those located in regions with lower market potential. This research moves beyond traditional financial performance metrics, providing micro-level evidence for optimizing the performance evaluation of GGF and advancing human capital-driven development strategies.
subject: Research Article
  topic: section
subject: Government guidance fund
  topic: keywords
subject: Human capital upgrading
  topic: keywords
subject: Resource synergy
  topic: keywords
subject: Enterprise innovation
  topic: keywords
creator: HaoRan Weng
rights: Copyright (c) 2026 HaoRan Weng https://creativecommons.org/licenses/by/4.0
date: 2026-04-28
publication date: 2026-04-28
starting page: 74
ending page: 81
doi: 10.61784/wjebr3101

A COMBINED EWM AND MULTIVARIATE STATISTICAL APPROACH FOR EVALUATING GREEN FINANCE AND ECONOMIC SUSTAINABILITY
type: item
description: Unraveling the nexus between financial allocation and ecological performance demands a framework capable of dismantling complex spatial heterogeneities. This study constructs a multidimensional statistical pipeline analyzing cross-sectional data across thirty Chinese provinces. Following objective dimension reduction via the entropy weight method, spatial clustering strictly partitions the landscape into distinct developmental tiers. Canonical correlation analysis subsequently extracts orthogonal structural equations, yielding a systemic coupling coefficient of 0.976. The derived loadings explicitly quantify a dual-edged transition mechanism: ecological sustainability relies heavily on capital friction against high-energy sectors (loading: -0.869), running parallel to targeted capitalization that accelerates industrial emission reductions (loading: 0.784). Beyond immediate operational insights, this research provides a mathematically rigorous blueprint for macroeconomic restructuring. By mapping these exact directional constraints, the framework equips policymakers to abandon homogeneous interventions, facilitating precision green resource allocation across highly polarized regional economies.
subject: Research Article
  topic: section
subject: Multivariate statistical analysis
  topic: keywords
subject: Entropy weight method
  topic: keywords
subject: Spatial clustering
  topic: keywords
subject: Canonical correlation analysis
  topic: keywords
subject: Eco-sustainability evaluation
  topic: keywords
creator: HongYue Deng
rights: Copyright (c) 2026 HongYue Deng https://creativecommons.org/licenses/by/4.0
date: 2026-04-17
publication date: 2026-04-17
starting page: 67
ending page: 73
doi: 10.61784/wjebr3100

SPATIOTEMPORAL EFFECTS OF DIGITAL FINANCIAL INCLUSION AND FISCAL DECENTRALIZATION ON THE URBAN–RURAL INCOME GAP
type: item
description: This study investigates the joint impact of digital financial inclusion and fiscal decentralization on the urban–rural income gap in China within a unified spatiotemporal analytical framework. Using provincial panel data and employing both two-way fixed effects and spatial econometric models, the analysis reveals that digital financial inclusion significantly narrows the urban–rural income gap by improving financial accessibility, reducing transaction costs, and promoting rural entrepreneurship, while fiscal decentralization tends to widen the gap due to local governments’ bias toward urban-oriented resource allocation. Importantly, the interaction between the two shows that fiscal decentralization strengthens the inequality-reducing effect of digital financial inclusion, suggesting a moderating role through enhanced incentives for local investment in digital infrastructure. Furthermore, spatial results indicate significant positive spatial dependence and spillover effects, whereby digital financial inclusion generates beneficial cross-regional impacts, whereas fiscal decentralization may intensify regional disparities through competitive dynamics. These findings are robust across alternative model specifications and variable measurements, offering important insights into the mechanisms of income distribution in the digital economy and providing policy implications for optimizing fiscal systems and promoting inclusive financial development.
subject: Research Article
  topic: section
subject: Digital financial inclusion
  topic: keywords
subject: Fiscal decentralization
  topic: keywords
subject: Urban–rural income gap
  topic: keywords
subject: Spatial spillover effects
  topic: keywords
creator: Yan Zhai
rights: Copyright (c) 2026 Yan Zhai https://creativecommons.org/licenses/by/4.0
date: 2026-04-17
publication date: 2026-04-17
starting page: 61
ending page: 66
doi: 10.61784/wjebr3099

INVESTIGATION AND COUNTERMEASURES ON THE PROBLEM OF INCREASED LITCHI YIELD BUT NOT INCREASED INCOME: TAKING CHINA MAOMING LITCHI AS AN EXAMPLE
type: item
description: The 2025 litchi harvest in Maoming, Guangdong achieved record yields, however, increased production didn’t translate into proportional profit growth. This study investigates the phenomenon of “increased production without corresponding income growth” from both supply-side and demand-side perspectives. From the supply side, the findings indicate that factors such as concentrated market entry, oversupply, labor shortages, rising production costs, limited regional brand premium capacity, and insufficient product quality and technological innovation have constrained income growth. From the demand side, Consumer survey results reveal a general preference for low-priced litchis. However, a considerable proportion of consumers are willing to pay premium prices for higher quality, strong brand, and specific consumption scenarios. Most consumers accept a regional brand premiums of up to 10% for Maoming litchis, while demonstrating strong repurchase intention. Notably, 44.3% of respondents reported never having purchased Maoming litchis, highlighting the coexistence of high repurchase potential and significant untapped market segments. A comprehensive supply–demand analysis identifies several core contradictions: rigid supply structures versus weak demand upgrading; high channel dependency versus diversified consumption patterns; misalignment between weak brand awareness and rising quality expectations; and technological limitations combined with evolving consumption experiences that create “last-mile” barriers.Based on these findings, this study proposes targeted policy recommendations to address these structural issues and promote sustainable development in the litchi industry.
subject: Research Article
  topic: section
subject: Increased production without income growth
  topic: keywords
subject: Maoming litchis
  topic: keywords
subject: Supply-side analysis
  topic: keywords
subject: Demand-side analysis
  topic: keywords
creator: XiaoPing Tan
creator: ZhongYi Zhu
creator: WeiCheng Chen
creator: RuiQi He
creator: GaoXue Wei
rights: Copyright (c) 2026 XiaoPing Tan; ZhongYi Zhu; WeiCheng Chen; RuiQi He; GaoXue Wei https://creativecommons.org/licenses/by/4.0
date: 2026-04-14
publication date: 2026-04-14
starting page: 44
ending page: 60
doi: 10.61784/wjebr3098

ALGORITHMIC GOVERNANCE AND THE RECONFIGURATION OF GLOBAL VALUE CHAINS: A CASE STUDY OF SHEIN’S ON-DEMAND MANUFACTURING MODEL
type: item
description: This paper examines how algorithmic governance reshapes global value chains (GVCs) in the context of platform-based fast fashion. While prior research has explored platform governance and GVC organization separately, less attention has been paid to how algorithmic systems intervene in production processes at an operational level. Drawing on a qualitative case study of SHEIN, this study uses multiple sources of secondary data, including company disclosures, industry reports, and third-party analyses. A process-tracing approach is adopted to reconstruct the development of SHEIN’s on-demand manufacturing model. The findings suggest that algorithmic governance operates through three interrelated mechanisms: real-time demand sensing, small-batch production, and dynamic supply chain coordination. Together, these mechanisms enable a shift from a forecast-driven “push” model to a data-driven “pull” model, reducing inventory risk while improving responsiveness. By linking platform governance with GVC analysis, this paper provides a mechanism-based explanation of how data capabilities reshape production organization. It also highlights digital embedding as an alternative pathway for firms to participate in global value creation.
subject: Research Article
  topic: section
subject: Global value chains
  topic: keywords
subject: Algorithmic governance
  topic: keywords
subject: Platform economy
  topic: keywords
subject: On-demand manufacturing
  topic: keywords
subject: Digital embedding
  topic: keywords
creator: YiWen Gao
rights: Copyright (c) 2026 YiWen Gao https://creativecommons.org/licenses/by/4.0
date: 2026-04-14
publication date: 2026-04-14
starting page: 37
ending page: 43
doi: 10.61784/wjebr3097

BIG DATA IN INCLUSIVE FINANCE AND FINANCIAL ECOSYSTEMS CHALLENGES AND FUTURE DIRECTIONS
type: item
description: With the explosive growth of data volume in the financial sector, big data technologies are transforming the accessibility and inclusiveness of financial services, particularly for populations traditionally excluded from formal financial systems. This paper analyzes how big data facilitates financial inclusion through alternative credit assessment, identity verification innovation, and customized products, while exploring from a financial ecosystem perspective the challenges faced by multi-stakeholder collaboration (banks, fintech companies, regulatory authorities) in technical infrastructure, data governance, regulatory compliance, and ethics. Through systematic analysis of current research, this paper proposes future pathways including the integration of big data technologies with emerging technologies such as artificial intelligence and blockchain, expansion of real-time analytical capabilities, and evolution of platform-based business models, providing reference for researchers, policymakers, and financial practitioners.
subject: Research Article
  topic: section
subject: Big data
  topic: keywords
subject: Inclusive finance
  topic: keywords
subject: Fintech
  topic: keywords
subject: Alternative credit assessment
  topic: keywords
subject: Identity verification
  topic: keywords
creator: BiJie Li
creator: ChangEr Liu
rights: Copyright (c) 2026 BiJie Li; ChangEr Liu https://creativecommons.org/licenses/by/4.0
date: 2026-04-13
publication date: 2026-04-13
starting page: 32
ending page: 36
doi: 10.61784/wjebr3096

FROM "BROWSING" TO "PURCHASING": BARRIERS AND ENHANCEMENT STRATEGIES FOR CONSUMERS' PURCHASE INTENTION IN INTANGIBLE CULTURAL HERITAGE E-COMMERCE
type: item
description: The deep integration of intangible cultural heritage (ICH) and e-commerce provides a new path for the transmission of traditional culture. However, this development process faces numerous challenges, and the formation mechanism of consumers' purchase intention in this context requires further in-depth investigation. Based on 358 consumer questionnaires, this study diagnoses issues in ICH e-commerce across five dimensions: Product Information and Presentation, Cultural Perception and Trust, Price and Value Perception, Logistics and After-Sales Service Experience, and Service and Interaction. It employs cluster analysis, multiple regression, and group heterogeneity analysis to reveal the obstacles and promotion paths for purchase intention. The study finds that logistics and after-sales service experience, along with product information and presentation, are the most significant positive factors influencing purchase intention, while price perception has no direct significant effect. Consumers can be segmented into four groups: Mature and Steady, Generation Z Novelty-Seeking, Potential Wait-and-See, and Sophisticated Quality-Conscious, each with significantly different pain points and drivers.
subject: Research Article
  topic: section
subject: ICH E-commerce
  topic: keywords
subject: Purchase intention
  topic: keywords
subject: Consumer segmentation
  topic: keywords
subject: Regression analysis
  topic: keywords
subject: Promotion strategy
  topic: keywords
creator: XiYu Cai
creator: Peng Liu
creator: XuanJie Lu
rights: Copyright (c) 2026 XiYu Cai; Peng Liu; XuanJie Lu https://creativecommons.org/licenses/by/4.0
date: 2026-04-07
publication date: 2026-04-07
starting page: 24
ending page: 31
doi: 10.61784/wjebr3095

THE OPTIMISATION OF SYNERGISTIC MECHANISMS FOR THE LOW-ALTITUDE ECONOMY TO EMPOWER NEW-QUALITY PRODUCTIVE FORCES IN SHENZHEN
type: item
description: As a prime example and key vehicle of new-quality productive forces, the low-altitude economy is emerging as a new engine driving high-quality economic and social development. As a pioneering demonstration zone for the development of China’s low-altitude economy, Shenzhen saw the added value of its low-altitude economy and aerospace industry clusters exceed 35 billion yuan in 2025, representing a year-on-year increase of 31% and demonstrating robust growth momentum. This study examines how Shenzhen’s low-altitude economy empowers new-quality productive forces, systematically analysing its current development status, underlying logic and coordination mechanisms. The research finds that Shenzhen’s low-altitude economy empowers new-quality productive forces through multi-dimensional pathways, including technological cluster innovation, deep industrial integration, spatial resource development and green, low-carbon transformation; however, it still faces systemic challenges in areas such as airspace management, infrastructure, market cultivation and safety regulation. Based on this, the paper constructs a five-pronged collaborative mechanism optimisation framework comprising ‘policy, industry, technology, application scenarios and ecosystem’. It proposes collaborative optimisation pathways such as prioritising institutional innovation, upgrading industrial clusters, driving development through application scenarios, weaving a network of infrastructure, and fostering an innovation ecosystem. This provides theoretical support and practical guidance for Shenzhen’s ambition to become the world’s leading city in the low-altitude economy and to establish itself as a benchmark for high-quality development in this sector.
subject: Research Article
  topic: section
subject: Low-altitude economy
  topic: keywords
subject: New-quality productive forces
  topic: keywords
subject: Coordination mechanisms
  topic: keywords
subject: Shenzhen
  topic: keywords
subject: China
  topic: keywords
subject: High-quality development
  topic: keywords
creator: Ji Li
rights: Copyright (c) 2026 Ji Li https://creativecommons.org/licenses/by/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 8
ending page: 23
doi: 10.61784/wjebr3094

THE IMPACT OF ESG PERFORMANCE ON ENTERPRISE PERFORMANCE: BASED ON THE MEDIATING EFFECT OF GREEN INNOVATION
type: item
description: This paper conducts an empirical study on Chinese A-share listed companies from 2009 to 2024 using Huazheng ESG rating data, focusing on how ESG performance affects corporate performance and its underlying mechanism. The empirical results show that the improvement of ESG performance has a significant positive effect on corporate performance, and this impact has a three-period lag effect. In the relationship between ESG performance and corporate performance, green innovation shows a significant partial mediating effect, indicating that the optimization of ESG performance can be transformed into the growth of corporate operating performance through stimulating green innovation. Heterogeneity analysis indicates that the promoting effect of ESG performance on corporate performance is more significant in enterprises in the eastern region and in the manufacturing industry. The research conclusions provide empirical evidence for enterprises to optimize ESG practices and carry out green innovation, as well as for the government to improve ESG supervision and green finance policies.
subject: Research Article
  topic: section
subject: ESG performance
  topic: keywords
subject: Green innovation
  topic: keywords
subject: Enterprise performance
  topic: keywords
subject: Mediating effect
  topic: keywords
creator: ManNi Zhuang
creator: Pei Wan
creator: YaXin Li
rights: Copyright (c) 2026 ManNi Zhuang; Pei Wan; YaXin Li https://creativecommons.org/licenses/by/4.0
date: 2026-04-01
publication date: 2026-04-01
starting page: 1
ending page: 7
doi: 10.61784/wjebr3093

YOUNG AND MIDDLE-AGED ADULTS' AWARENESS OF DOMESTIC BRANDS AND THEIR CONSUMPTION INTENTIONS
type: item
description: As cultural confidence and appeal within China's consumer market grow, the Z-generation consumer group has rapidly emerged. New consumption models centered on digital consumption and confidence-driven spending continue to expand, observing and attracting consumers to purchase domestic brands. Domestic brands are developing rapidly, and the consumer market is continuously expanding. This study aims to explore the understanding and consumption intentions of domestic brands among young and middle-aged adults in Shandong Province. Through a questionnaire survey targeting young and middle-aged individuals in Shandong Province across different age groups, genders, occupations, and income levels, data was collected regarding their awareness, usage patterns, and future outlook toward domestic brands. This information provides insights into the current domestic brand market. The study addresses six key research questions and offers recommendations for the future development of domestic brands. After validating the questionnaire's reliability and validity and completing both online and offline surveys, the collected data was analyzed using cross-tabulation, one-way ANOVA, clustering analysis, and linear regression models. The primary objectives are to assess the consumption willingness and satisfaction levels of Shandong's young and middle-aged population toward domestic brands, propose substantive recommendations for the future development of domestic brands, enhance consumer confidence in domestic brands, and contribute to the vigorous growth of the domestic market and industry, thereby sustaining the momentum of the domestic brand trend.
subject: Research Article
  topic: section
subject: Domestic brands
  topic: keywords
subject: Domestic dual circulation
  topic: keywords
subject: Consumer willingness
  topic: keywords
subject: Consumer satisfaction
  topic: keywords
creator: XinRui Liu
creator: YiXin Liang
creator: WenXi Zhang
creator: HuiZhong Geng
rights: Copyright (c) 2026 XinRui Liu; YiXin Liang; WenXi Zhang; HuiZhong Geng https://creativecommons.org/licenses/by/4.0
date: 2026-03-24
publication date: 2026-03-24
starting page: 78
ending page: 87
doi: 10.61784/wjebr3092

THE BCPE FRAMEWORK AND THE CONSTRUCTION OF AN AUTONAMOUS KNOWLEDGE SYSTEM FOR CHINA’S ECONOMIC DEVELOPMENT
type: item
description: This article proposes a dynamic “Basic–Constraint–Purpose–Effect” (BCPE) framework to explain China’s paradox of “stability through transformation” over seven decades. Moving beyond theories that treat the state as a passive market corrector, BCPE operationalizes CCP’s leadership as institutionalized political integrative capacity—manifested in strategic planning, organizational penetration, nationwide coordination, and self-correction. This capacity sustains a dual-loop learning system: an experience-elevation loop that scales local innovations into national policy, and a risk-correction loop that recalibrates goals and institutions in response to systemic failures. Development purposes are not exogenously given but endogenously shaped through the CCP’s evolving diagnosis of the principal societal contradiction, blending normative values (e.g., equity, sustainability) with instrumental concerns. Four middle-range propositions follow: (1) political integrative capacity enhances collective action in large societies; (2) constraints, when cognitively reframed, drive innovation; (3) a strategic state dynamically optimizes multiple, often competing goals; and (4) effective markets and promising government co-evolve through complementary institution-building. Rooted in China’s governance practice yet articulated with generalizable mechanisms, BCPE draws on indigenous epistemic traditions—particularly practical rationality and holistic thinking—while offering testable, boundary-specified claims. It thus advances a path toward an autonomous, globally engaged political economy, providing analytically rigorous tools for understanding adaptive governance in complex developing contexts.
subject: Research Article
  topic: section
subject: BCPE framework
  topic: keywords
subject: Political integrative capacity
  topic: keywords
subject: Institutionalized learning
  topic: keywords
subject: Developmental political economy
  topic: keywords
creator: Wei Xin
rights: Copyright (c) 2026 Wei Xin https://creativecommons.org/licenses/by/4.0
date: 2026-03-09
publication date: 2026-03-09
starting page: 69
ending page: 77
doi: 10.61784/wjebr3091

EXECUTIVES’ ENVIRONMENTAL BACKGROUNDS AND GREEN INNOVATION BUBBLES: EVIDENCE FROM CHINESE LISTED FIRMS
type: item
description: The study examines the impact of executives’ environmental backgrounds on corporate green innovation bubbles, analyzing a sample of Chinese listed firms from 2010 to 2022. The findings indicate that appointing executives with environmental expertise significantly mitigates green innovation bubbles, a phenomenon characterized by the decoupling between the quantity and quality of green innovation. Mechanism analyses reveal that such executives operate through two key channels: by enhancing the green cognition of the management team and by improving government–enterprise communication. Furthermore, cross-sectional tests show that the restraining effect is more pronounced under specific conditions—particularly in firms facing higher performance pressure, those with higher resource allocation efficiency, or those receiving fewer government green R&D subsidies. Overall, the results suggest that executives with environmental backgrounds help firms shift their focus from short-term innovation metrics toward substantive green innovation. These insights offer meaningful implications for corporate governance and for policy design aimed at fostering high-quality green transitions.
subject: Research Article
  topic: section
subject: Executive's environmental background
  topic: keywords
subject: Green innovation bubbles
  topic: keywords
subject: Executives' green cognition
  topic: keywords
subject: Government enterprise linkage
  topic: keywords
creator: Nan Yang
creator: WenXi Sun
rights: Copyright (c) 2026 Nan Yang; WenXi Sun https://creativecommons.org/licenses/by/4.0
date: 2026-02-11
publication date: 2026-02-11
starting page: 41
ending page: 53
doi: 10.61784/wjebr3087

CONSTRUCTION OF JUNEAU’S TOURISM SOCIAL COST-ECONOMIC BENEFIT MODEL AND KEY FACTOR ANALYSIS BASED ON AHP AND MULTIVARIABLE ADJUSTMENT
type: item
description: In 2023, Juneau, Alaska, received a record 1.6 million cruise visitors, bringing significant revenue but severe overcrowding. To address this, this study develops a sustainable tourism model prioritizing economic benefit maximization. It uses linear fitting/trigonometric functions for visitor numbers, logarithmic/linear functions for tourism revenue, differential equations for environmental pressure, and the Analytic Hierarchy Process (AHP) for a constrained social cost model. Analysis shows Juneau’s total economic benefit peaks at ~1,026,453 visitors, with an income-expenditure plan and feedback mechanism proposed. A multivariable adjustment approach further quantifies impacts of variables (e.g., visitor spending, tax rates) and identifies key factors (e.g., visitor numbers, glacier melting rate) to support tourism decision-making.
subject: Research Article
  topic: section
subject: Sustainable tourism model
  topic: keywords
subject: Analytic Hierarchy Process (AHP)
  topic: keywords
subject: Economic benefit maximization
  topic: keywords
subject: Juneau
  topic: keywords
subject: Multivariable adjustment
  topic: keywords
creator: Min Zeng
creator: LvJie Fan
creator: XinYu Zheng
rights: Copyright (c) 2026 Min Zeng; LvJie Fan; XinYu Zheng https://creativecommons.org/licenses/by/4.0
date: 2026-03-09
publication date: 2026-03-09
starting page: 61
ending page: 68
doi: 10.61784/wjebr3090

NEW-QUALITY PRODUCTIVE FORCES AND AGRITOURISM INTEGRATION: INSIGHTS FROM GREENFOOD FARM
type: item
description: Taking Yantai Greenfood Farm as a case study, this research explores the integration mechanisms between new-quality productive forces and the agritourism industry in areas such as green and low-carbon development, digitalization, mechanization, and intelligentization. It focuses on analyzing practical applications of new-quality productive forces, including how intelligent breeding technologies enhance agricultural production efficiency, how ecological circulation models support low-carbon development, and the value creation pathways of integrated agritourism business formats. It identifies key challenges in industrial practice, such as ambiguous definitions of new-quality productivity technology applications and insufficient integration depth between agritourism formats and technologies, while proposing optimization directions and improvement suggestions. The technology application models and industrial integration pathways presented in this article can provide practical references for the high-quality development of the agritourism industry, thereby contributing to rural revitalization.
subject: Research Article
  topic: section
subject: New-quality productive forces
  topic: keywords
subject: Agritourism industry development
  topic: keywords
subject: Rural revitalization
  topic: keywords
creator: YuQing Qiu
rights: Copyright (c) 2026 YuQing Qiu https://creativecommons.org/licenses/by/4.0
date: 2026-03-07
publication date: 2026-03-07
starting page: 54
ending page: 60
doi: 10.61784/wjebr3089

DEVELOPMENT COUNTERMEASURES FOR THE CONSTRUCTION OF ZHENGZHOU NATIONAL LOGISTICS HUB
type: item
description: Under the new development paradigm, addressing the critical issue of the "Construction of Zhengzhou National Logistics Hub," this paper deeply analyzes the current status of logistics development in Zhengzhou, discusses the strategic significance of constructing the Zhengzhou National Logistics Hub, clarifies the strategic direction, and proposes implementation strategies for its construction.The construction of the Zhengzhou National Logistics Hub is an important part of the logistics network system construction. It is conducive to promoting logistics network construction, reducing total social logistics costs, improving logistics service levels and quality, optimizing the economic spatial layout and economic system construction of Zhengzhou and Henan Province, and promoting the rapid and healthy development of Zhengzhou's logistics industry and national economy.
subject: Research Article
  topic: section
subject: Logistics hub
  topic: keywords
subject: Logistics industry
  topic: keywords
subject: Regional logistics
  topic: keywords
subject: Logistics development countermeasures
  topic: keywords
creator: YuQing Fan
creator: BoYe Zhang
creator: YuXin Luo
rights: Copyright (c) 2025 YuQing Fan; BoYe Zhang; YuXin Luo https://creativecommons.org/licenses/by/4.0
date: 2025-12-02
publication date: 2025-12-02
starting page: 38
ending page: 42
doi: 10.61784/wjebr3073

THE DETECTION OF HOUSEHOLD ECONOMIC ANOMALIES BASED ON THE CFPS2022 DATABASE: AN EXAMPLE OF INCOME-CONSUMPTION DEVIATION PATTERN ANALYSIS
type: item
description: In recent years, China's household debt has witnessed explosive growth, increasing financial vulnerability and posing a potential threat to economic stability. Based on the China Family Tracking Survey 2022 database, this study innovatively synthesizes three algorithms, namely the statistically based 3-criteria, Isolation Forest, and Local Outlier Factor (LOF), to detect anomalies with higher accuracy, and further applies a variety of data analysis techniques, such as cluster analysis, association rule mining, and Random Forest algorithm, to conduct a systematic and in-depth study of household economic anomalies. We also utilize various data analysis techniques such as cluster analysis, association rule mining, and random forest algorithm to conduct a systematic and in-depth study of household economic anomalies. Consequently, the study proposes policy recommendations such as strengthening financial education, providing precise support, and establishing a risk warning mechanism. These measures are expected to assist high-risk households, foster healthy economic development, and contribute to national economic stability.
subject: Research Article
  topic: section
subject: Household economic anomalies
  topic: keywords
subject: Anomaly detection
  topic: keywords
subject: Optimal algorithm
  topic: keywords
subject: Debt
  topic: keywords
subject: Income-consumption deviation patterns
  topic: keywords
creator: Jia Yu
creator: JiaCong Jiang
creator: BoRui Zhao
rights: Copyright (c) 2025 Jia Yu; JiaCong Jiang; BoRui Zhao https://creativecommons.org/licenses/by/4.0
date: 2025-12-03
publication date: 2025-12-03
starting page: 43
ending page: 49
doi: 10.61784/wjebr3074

A HOUSING PRICE PREDICTION MODEL BASED ON BACKPROPAGATION NEURAL NETWORK
type: item
description: The real estate industry serves as a crucial pillar of the national economy, playing an indispensable role in both national and local economic development. Analyzing and forecasting housing price trends can provide more reliable decision-making references for homebuyers, real estate agents, and market analysts. This study selects 150,000 data samples and addresses the complex non-linear characteristics of housing prices influenced by multiple factors by proposing a housing price prediction model based on a Backpropagation (BP) neural network. The model effectively simulates and predicts housing prices in the test set, achieving successful non-linear fitting,such as R is 0.8376, MAPE is 466873.78%%. This research not only offers a more reliable decision-making tool for homebuyers, real estate intermediaries, and market analysts but also provides a practical modeling approach for non-linear housing price prediction problems, thereby contributing positively to the rational development of the real estate market.
subject: Research Article
  topic: section
subject: BP neural network
  topic: keywords
subject: House price forecast
  topic: keywords
subject: Z-score standardization method
  topic: keywords
subject: One-hot encoding
  topic: keywords
subject: Trainlm algorithm
  topic: keywords
creator: ShiYu Jiao
creator: Dong Wang
rights: Copyright (c) 2025 ShiYu Jiao; Dong Wang https://creativecommons.org/licenses/by/4.0
date: 2025-12-17
publication date: 2025-12-17
starting page: 59
ending page: 65
doi: 10.61784/wjebr3076

AN EMPIRICAL INVESTIGATION INTO THE STRATEGIC IMPACT OF RECIPROCAL TRADE COUNTERMEASURES ON U.S. ECONOMIC RESILIENCE AND MANUFACTURING RE-INDUSTRIALIZATION
type: item
description: The 2025 U.S. “reciprocal tariff” policy has intensified global trade frictions, triggering retaliatory countermeasures that reshape supply chains and industrial dynamics. Whether such protectionist strategies can sustainably revive domestic manufacturing or instead undermine macroeconomic stability remains an open empirical question. This study investigates the nonlinear effects of reciprocal trade countermeasures on U.S. manufacturing performance and economic resilience using a 13-dimensional monthly panel dataset. We construct composite manufacturing and macroeconomic indices via the Entropy Weight Method (EWM), examine policy–economy linkages using Grey Relational Analysis (GRA) and Pearson correlations, and model dynamic impacts through a heterogeneous machine learning framework combining XGBoost and Support Vector Regression (SVR). Empirical results show that retaliatory trade measures significantly disrupt intermediate input supplies and raise domestic production costs, offsetting short-term gains from tariff protection. High-precision forecasts further indicate that international retaliation largely neutralizes the intended reindustrialization effects. The findings suggest that sustainable manufacturing revitalization requires structural investment and innovation-driven policies rather than reliance on tariff barriers alone.
subject: Research Article
  topic: section
subject: Trade reciprocity
  topic: keywords
subject: Manufacturing resurgence
  topic: keywords
subject: Economic resilience
  topic: keywords
subject: Grey relational analysis
  topic: keywords
subject: Predictive modeling
  topic: keywords
creator: XinYi Chen
creator: TianTian Liu
rights: Copyright (c) 2026 XinYi Chen; TianTian Liu https://creativecommons.org/licenses/by/4.0
date: 2026-02-11
publication date: 2026-02-11
starting page: 34
ending page: 40
doi: 10.61784/wjebr3086

THE IMPACT MECHANISM OF SMES’ PERSONALIZED TAX SERVICE DEMAND UNDER THE BACKGROUND OF DIGITAL ECONOMY
type: item
description: In the context of the digital economy, tax services are shifting from a management-oriented approach to a service-oriented one, and the demand for personalized tax services from small and medium-sized enterprises (SMEs) is increasingly prominent. This paper takes SMEs in City A as the research object, constructs a structural equation model based on questionnaire survey data, and empirically analyzes the influence mechanisms of tax-handling channel preference, tax policy awareness and information acquisition, and tax service satisfaction on the demand for personalized tax services. The results show that tax-handling channel preference, tax service satisfaction, and tax policy awareness all have significant positive effects on the demand for personalized tax services among SMEs, with the effect of tax-handling channel preference being the most prominent. The research conclusions provide empirical evidence for optimizing the supply of tax services to SMEs and improving tax administration efficiency in the context of the digital economy.
subject: Research Article
  topic: section
subject: Digital economy
  topic: keywords
subject: Small and medium-sized enterprises
  topic: keywords
subject: Personalized tax service
  topic: keywords
subject: Structural equation model
  topic: keywords
subject: Tax service demand
  topic: keywords
creator: Qian Zhang
rights: Copyright (c) 2026 Qian Zhang https://creativecommons.org/licenses/by/4.0
date: 2026-01-22
publication date: 2026-01-22
starting page: 17
ending page: 24
doi: 10.61784/wjebr3084

DYNAMIC DEPLOYMENT OF FINANCIAL PERSONNEL BASED ON THE HOLT-WINTERS ALGORITHM-PROPHET-LSTM PREDICTIVE MODEL
type: item
description: In the context of refined enterprise management, the dynamic optimal allocation of human resources has become the key to improving operational efficiency and reducing labor costs. Financial reimbursement, as a high-frequency and important business process, exhibits significant fluctuation in its workload due to influences from business cycles, project milestones, and other factors. A fixed number of finance personnel can easily lead to backlogs in expense review during peak periods, resulting in employee dissatisfaction, while creating idle human resources during off-peak periods. To resolve this contradiction, this paper aims to establish a dynamic adjustment mechanism for finance personnel based on predictive modeling. This study utilizes historical reimbursement claim volume time series data from enterprises, integrating the Prophet-LSTM predictive model based on the Holt-Winters algorithm to accurately predict future claim volumes for specific cycles (e.g., monthly, quarterly). Through this model, enterprise managers can proactively anticipate future workloads and dynamically adjust staffing levels for financial reimbursement positions accordingly, enabling flexible allocation of financial personnel. Empirical research demonstrates that this predictive model exhibits high accuracy, with an MSE of only 152.47, an RMSE as low as 12.35, an MAE of 7.89, a MAPE of just 6.58%, and an R2 as high as 0.948. The dynamic adjustment strategy based on this model effectively smooths workloads, significantly shortens reimbursement processing cycles, and enhances the overall utilization efficiency of corporate human resources. This study provides a feasible theoretical framework and practical pathway for enterprises to achieve data-driven human resource management in finance and other volatile business domains.
subject: Research Article
  topic: section
subject: Human resources
  topic: keywords
subject: Financial reimbursement
  topic: keywords
subject: Holt-Winters
  topic: keywords
subject: Prophet-LSTM
  topic: keywords
subject: Predictive model
  topic: keywords
creator: HuiJun Liang
creator: ZiTian Sheng
creator: ZhiJie Luo
rights: Copyright (c) 2026 HuiJun Liang; ZiTian Sheng; ZhiJie Luo https://creativecommons.org/licenses/by/4.0
date: 2026-02-02
publication date: 2026-02-02
starting page: 25
ending page: 33
doi: 10.61784/wjebr3085

GREEN FINANCE POLICY AND TECHNOLOGICAL INNOVATION: EVIDENCE FROM 35 CHINESE AUTOMOTIVE FIRMS (2013–2023)
type: item
description: This study examines how China’s green finance development relates to corporate technological innovation in the automotive industry. Using firm–year observations from 2013–2023 for leading Chinese automotive firms, technological innovation is measured through patent applications and patent grants, expressed as logarithmic outcomes. Green finance is proxied by a national annual index, reflecting the macro policy-finance environment faced by firms each year. To address missing values in firm-level covariates, the analysis employs multiple imputation (m = 5) and reports pooled estimates. Across baseline models with standard controls, green finance is associated with lower patent applications, while the relationship with patent grants is weaker and generally statistically insignificant. Policy-timing analysis around the 2016 green finance policy shift provides limited evidence of differential effects, and additional robustness checks including alternative cutoffs (lead/placebo timing) and pre/post subsample regressions support the overall pattern. Lag models indicate that the negative association is more pronounced for patent applications with one- to two-year delays, whereas patent grants remain comparatively insensitive. Collectively, the findings suggest that macro green finance expansion does not translate mechanically into short-run increases in firm innovation outputs, and that firm fundamentals such as R&D, subsidies, and profitability remain central correlates of innovation performance. The results provide practical implications for policy design and corporate strategy in green transition contexts.
subject: Research Article
  topic: section
subject: Green finance
  topic: keywords
subject: Technological innovation
  topic: keywords
subject: Patents
  topic: keywords
subject: Automotive industry
  topic: keywords
subject: China
  topic: keywords
subject: Policy timing
  topic: keywords
creator: Jean Jacques Yves Leslie Bottine Junior
rights: Copyright (c) 2026 Jean Jacques Yves Leslie Bottine Junior https://creativecommons.org/licenses/by/4.0
date: 2026-01-07
publication date: 2026-01-07
starting page: 1
ending page: 11
doi: 10.61784/wjebr3082

THE IMPACT OF TWO-WAY FDI INTERACTIVE DEVELOPMENT ON CHINA’S DIGITAL ECONOMY
type: item
description: Distinct from the existing literature that predominantly focuses on the economic impact of either FDI or OFDI in isolation, this study examines the synergistic effects and coordinated development of two-way FDI on the digital economy across Chinese provincial regions. The findings reveal that the coordination of two-way FDI exerts a positive influence on the digital economy. This impact mechanism exhibits a distinct threshold effect, moderated by two key threshold variables: the level of local trade openness and the characteristics of the industrial structure. Notably, the facilitative effect of two-way FDI coordination is more pronounced within the Yangtze River Economic Belt, whereas in regions outside the Belt, it still contributes to the growth of the digital economy but with statistically weaker significance. This research not only offers policy implications for China's foreign trade and digital economic development but also elucidates the underlying mechanisms and threshold conditions involved. It provides valuable insights for regional economic and digital advancement in China, while also serving as an important supplement to the literature on two-way FDI.
subject: Research Article
  topic: section
subject: Foreign Direct Investment (FDI)
  topic: keywords
subject: Outward Foreign Direct Investment (OFDI)
  topic: keywords
subject: Digital economy
  topic: keywords
subject: Threshold model
  topic: keywords
creator: JingYi Zhao
rights: Copyright (c) 2025 JingYi Zhao https://creativecommons.org/licenses/by/4.0
date: 2025-12-17
publication date: 2025-12-17
starting page: 66
ending page: 71
doi: 10.61784/wjebr3077

NEW PRODUCTIVITY ENABLES HIGH QUALITY DIGITAL AGRICULTURE IN JILIN PROVINCE DEVELOPMENT LOGIC AND IMPLEMENTATION COUNTERMEASURES
type: item
description: As a pioneering model driving the transformation and upgrading of traditional agriculture, digital agriculture has long been prioritized by government authorities. The new quality productive forces, characterized by technological innovation, high efficiency, and superior quality, provide robust support for the high-quality development of digital agriculture. Under the impetus of these advanced productive forces, digital agriculture will fully embrace the development concepts of innovation, openness, coordination, green practices, and sharing, thereby comprehensively empowering the high-quality development of digital agriculture in Jilin Province. However, various challenges remain in the province that urgently require resolution. To achieve sustainable development in the new era, Jilin must focus on cultivating and advancing high-quality digital agriculture as its core objective, establishing distinctive local strategies for digital agricultural advancement.
subject: Research Article
  topic: section
subject: New quality productivity
  topic: keywords
subject: Digital agriculture
  topic: keywords
subject: High-quality development
  topic: keywords
subject: Jilin province
  topic: keywords
creator: AiLing Zhu
creator: Tao Ding
creator: XinXin Liu
rights: Copyright (c) 2025 AiLing Zhu; Tao Ding; XinXin Liu https://creativecommons.org/licenses/by/4.0
date: 2025-12-05
publication date: 2025-12-05
starting page: 50
ending page: 58
doi: 10.61784/wjebr3075

TECHNOLOGY SELECTION OF ENTERPRISE JAVA WEB FRAMEWORKS BASED ON EVOLUTIONARY PATH ANALYSIS
type: item
description: In response to the rapid iteration of enterprise-level Java Web frameworks and the lack of systematic theoretical guidance for selection decisions, this study proposes an innovative selection methodology based on the analysis of technical evolution paths. The main innovations are as follows: First, it reconstructs the three-dimensional "scenario-driver-paradigm" analysis model for framework evolution, systematically revealing the internal logic and technological inflection points in the transition from monolithic to cloud-native architectures, going beyond traditional version-based reviews. Second, it proposes a quantitative selection framework based on the dual-track "steady-state-agile-state" adaptation, which for the first time comprehensively models core dimensions such as development efficiency, runtime performance (startup time, memory usage), and cloud-native compatibility, clarifying the Pareto boundaries of mainstream frameworks such as Spring Boot and Quarkus under different constraints. Third, it constructs a hybrid architecture decision-making model based on technical debt and transformation cost assessment, providing enterprises with path planning and risk assessment tools for the smooth evolution from legacy systems to cloud-native architectures. This study validates the effectiveness of the method through empirical case comparisons, offering systematic theoretical foundations and practical guidance for enterprises to make forward-looking, low-risk architectural decisions in complex technological ecosystems.
subject: Research Article
  topic: section
subject: Java Web framework
  topic: keywords
subject: Technical evolution path
  topic: keywords
subject: Architectural selection
  topic: keywords
subject: Innovative methodology
  topic: keywords
subject: Cloud-native
  topic: keywords
creator: ZhengLin Wang
rights: Copyright (c) 2026 ZhengLin Wang https://creativecommons.org/licenses/by/4.0
date: 2026-01-20
publication date: 2026-01-20
starting page: 12
ending page: 16
doi: 10.61784/wjebr3083

IMPACT OF DIGITAL ECONOMY DEVELOPMENT ON POLLUTION REDUCTION AND CARBON REDUCTION
type: item
description: Exploring the impact and spatiotemporal characteristics of the digital economy on pollution and carbon reduction is of great significance in the context of the "dual carbon" goal and The digital economy is advancing at a fast pace. Currently, China is facing the dual task of reducing pollution and carbon emissions, and the "technological dividend" of the digital economy provides a new path for achieving environmental governance goals. However, there are still shortcomings in the systematic analysis of the spatial spillover effects, regional adaptation differences, and dynamic mechanisms of pollution and carbon reduction in the digital economy, which urgently require in-depth research from a multidimensional perspective. This study comprehensively utilized entropy weight method, benchmark regression model, mediation effect model, spatial-Durbin-model (SDM), spatiotemporal-geographically-weighted-regression (GTWR), and graph attention network (GAT) to construct a research framework covering impact effect assessment, mechanism identification, and spatiotemporal dynamic analysis. Firstly, This study utilized the entropy weight method for quantifying the development degree of the digital economy, and conducted an analysis on the spatiotemporal features of both pollutant emission intensity and carbon intensity of emissions, the fundamental correlation between the digital economy and environmental performance is revealed; Secondly, through the application of a fixed effects model, the digital economy exerts a direct influence on achieving the twin goals of reducing pollution and carbon emissions, and identifying indirect paths such as industrial structure upgrading, technological progress, and green finance through a mediation effect model; Finally, using spatial econometric models and GAT models, analyze the spatial dependence, regional heterogeneity, and the digital economy’s emission reduction effects: Spatiotemporal dynamic evolution characteristics.
subject: Research Article
  topic: section
subject: Digital economy
  topic: keywords
subject: Pollution reduction and carbon reduction
  topic: keywords
subject: Spatial effects
  topic: keywords
subject: Spatiotemporal heterogeneity
  topic: keywords
subject: Intermediary mechanisms
  topic: keywords
creator: WeiJie Lin
rights: Copyright (c) 2025 WeiJie Lin https://creativecommons.org/licenses/by/4.0
date: 2025-12-30
publication date: 2025-12-30
starting page: 83
ending page: 93
doi: 10.61784/wjebr3081

THE IMPACT OF DIGITAL INCLUSIVE FINANCE ON URBAN INNOVATION AND ENTREPRENEURSHIP
type: item
description: Innovation and entrepreneurship are of great significance to enhance the overall national strength and promoting regional development. Promoting innovation and entrepreneurship is an inevitable requirement for China to enhance the internal driving force and high-quality economic development. Based on the panel data of 279 prefecture-level cities in China from 2011 to 2019, this paper constructs a fixed-effect model to verify the relationship between digital inclusive finance and urban innovation and entrepreneurship and its influence mechanism. The study found that digital inclusive finance can significantly affect the improvement of the level of urban innovation and entrepreneurship, and the conclusion is still valid after changing the measure of urban innovation and entrepreneurship and deleting the robustness test of the provincial capital cities. Secondly, through the construction of the intermediary effect model, it is found that digital inclusive finance promotes the level of urban innovation and entrepreneurship by improving the development level and marketization degree of the Internet.
subject: Research Article
  topic: section
subject: Panel data
  topic: keywords
subject: Digital inclusive finance
  topic: keywords
subject: Innovation and entrepreneurship
  topic: keywords
subject: The intermediary effect
  topic: keywords
creator: KaiWen Li
creator: YanLin Ji
creator: Min Liu
creator: SuiYi Liao
rights: Copyright (c) 2025 KaiWen Li; YanLin Ji; Min Liu; SuiYi Liao https://creativecommons.org/licenses/by/4.0
date: 2025-12-19
publication date: 2025-12-19
starting page: 72
ending page: 82
doi: 10.61784/wjebr3079

A HYBRID GA-PSO AND COUPLING COORDINATION FRAMEWORK FOR MULTI-OBJECTIVE OPTIMIZATION IN SUSTAINABLE TOURISM SYSTEMS
type: item
description: Rapid tourism growth has boosted local economies but also posed environmental and social challenges, highlighting the need for sustainable management. This study presents a hybrid optimization framework that integrates Genetic Algorithm with Particle Swarm Optimization (GA-PSO) with a Coupling Coordination Degree (CCD) mechanism to balance social, economic, and environmental subsystems. The model targets maximization of employment, tourism revenue, and glacier stability under statistical and coordination constraints. Regression analysis and the entropy weight–TOPSIS method were applied to quantify subsystem interactions. Results show that GA-PSO outperforms single GA and PSO, achieving an optimal coordination degree of 0.6254. Employment, tourism revenue (USD 147 million), and environmental sustainability all showed notable improvements. This research extends the use of hybrid evolutionary algorithms in sustainable tourism and provides quantitative support for policymakers seeking to balance economic growth, social well-being, and ecological resilience.
subject: Research Article
  topic: section
subject: Sustainable tourism
  topic: keywords
subject: Multi-objective optimization
  topic: keywords
subject: GA-PSO
  topic: keywords
subject: Coupling coordination degree
  topic: keywords
creator: DingYi Ma
creator: KeYin Zhu
creator: Lei Zang
rights: Copyright (c) 2025 DingYi Ma; KeYin Zhu; Lei Zang https://creativecommons.org/licenses/by/4.0
date: 2025-09-19
publication date: 2025-09-19
starting page: 1
ending page: 7
doi: 10.61784/wjebr3059

EMPIRICAL ANALYSIS ON THE EFFECT AND MECHANISM OF GREEN FINANCE RELATING TO REDUCTION AND CARBON EMISSION REDUCTION RELYING ON THE EMPIRICAL EVIDENCE FROM CHINESE LISTED COMPANIES
type: item
description: In the process of implementing the "dual-carbon" strategy, research on whether green finance can truly translate into emission reduction effects and its conversion mechanism is crucial for testing green finance policies. The present study takes A-share listed non-financial enterprises in China from 2011 to 2022 as samples, matches enterprise emission data of sulfur dioxide (SO 2 ), nitrogen oxides (NO x ), and soot, and constructs a "firm-year" green finance index built on seven types of tools including green credit and green bonds to systematically examine the impact of green finance on corporate pollution reduction and carbon emission reduction. Baseline regression results show that for each 1-unit rise in the green finance index, the logarithm of total corporate pollutant emissions decreases by an average of 0.366, and this conclusion stays robust after instrumental variable and robustness examinations. Mechanism analysis reveals that green finance exerts its effects through a dual-pathway of alleviating financing constraints and promoting green technological innovation: on one hand, it significantly reduces the SA index, providing low-cost funds for corporate green investments; on the other hand, it significantly increases the quantity of applications submitted for green utility model patents, facilitating process upgrading and end-of-pipe treatment. Heterogeneity tests reveal that the emission reduction effect of green finance stands out more in non-state-owned enterprises (non-SOEs), eastern regions, and the manufacturing industry, presenting a pattern of "non-SOEs outperforming SOEs, eastern regions outperforming central and western regions, and manufacturing outperforming non-manufacturing". This study provides micro-level evidence for constructing a precise and efficient green finance support system, and also offers actionable policy references for accomplishing the "dual-carbon" goals.
subject: Research Article
  topic: section
subject: Green finance
  topic: keywords
subject: Pollution control and carbon emission reduction
  topic: keywords
subject: Funding constraints
  topic: keywords
subject: Green tech innovation
  topic: keywords
subject: Corporate heterogeneity
  topic: keywords
creator: ZiMo Chen
rights: Copyright (c) 2025 ZiMo Chen https://creativecommons.org/licenses/by/4.0
date: 2025-09-19
publication date: 2025-09-19
starting page: 8
ending page: 16
doi: 10.61784/wjebr3060

FROM DUAL-CARBON MANAGEMENT TO GREEN INNOVATION: THE SYNERGISTIC PATHWAYS OF CARBON ACCOUNTING AND CARBON FOOTPRINT IN TECHNOLOGY ENTERPRISES
type: item
description: Under the national dual-carbon strategy, technology enterprises face increasing pressure to reduce carbon emissions resulting from intensive energy use, complex supply chains, and long product life cycles. Identifying effective pathways for achieving green innovation under carbon constraints has become an essential issue for sustainable corporate development. This study establishes a “dual-carbon management” theoretical framework that integrates organizational-level carbon accounting with product-level carbon footprint assessment. Drawing on existing literature, the study examines the roles of carbon accounting in carbon governance, strategic planning, and internal incentive mechanisms, as well as the contributions of carbon footprint analysis to life-cycle assessment, material optimization, and product Eco-design. It further explores the synergistic mechanisms between the two, including data complementary, governance alignment, strategic coordination, and value-chain integration. Based on these insights, the study proposes key principles for constructing green innovation paths, emphasizing data integrity, systemic thinking, innovation-oriented governance, life-cycle perspective, value-chain collaboration, and dynamic adjustment. A representative case of a technology enterprise is analyzed to illustrate how dual-carbon management supports the development of low-carbon technologies, process improvements, and green product innovation. The results show that carbon accounting provides a foundation for organizational carbon governance, while carbon footprint offers detailed life-cycle insights. The integration of these two mechanisms forms a multi-level system that enhances strategic decision-making, operational transformation, and supply-chain-wide collaboration. This study contributes theoretical insights and practical guidance for technology enterprises seeking green innovation pathways under carbon constraints.
subject: Research Article
  topic: section
subject: Carbon accounting
  topic: keywords
subject: Carbon footprint
  topic: keywords
subject: Green innovation
  topic: keywords
subject: Technology enterprises
  topic: keywords
subject: Dual-carbon management
  topic: keywords
creator: Na Lei
creator: XinZhi Wang
rights: Copyright (c) 2025 Na Lei; XinZhi Wang https://creativecommons.org/licenses/by/4.0
date: 2025-11-27
publication date: 2025-11-27
starting page: 16
ending page: 25
doi: 10.61784/wjebr3071

BILATERAL DIPLOMATIC RELATIONS AND CROSS-BORDER M&AS: EVIDENCE FROM CHINA
type: item
description: Cross-border mergers and acquisitions (M&A) are one of the most important ways for countries to participate in the global economy. China's bilateral diplomatic relations with other countries are flawed and the data are mainly from the Chinese media, which may lead to omissions in diplomatic events, lack of objectivity and insufficient information, which may lead to miscalculations. Therefore, it is necessary to select a measure that reflects the high level of recognition between the two countries in international affairs or bilateral affairs. Using unbalanced panel data (including cross-border M&A data and United Nations General Assembly (UNGA) voting data) for 181 countries (or regions) from 1992-2017, the paper empirically examines the impact of bilateral diplomatic relations on China's cross-border M&A completion rate and its mechanism of action, by building an estimation model, mediation effect models, and conducting a robustness test. The mediating effect in the mechanism test finds that bilateral diplomatic relations affect the completion rate of cross-border M&As between Chinese and foreign firms through both formal (i.e., the signing of BITs and the establishment of bilateral partnerships) and informal mechanisms (i.e., exchanges among senior bilateral leaders and the establishment of Confucius Institutes). For formal institutions, bilateral diplomatic relations can increase the completion rate of cross-border M&As from and to China by facilitating the signing of BITs and the establishment of bilateral partnerships. For informal institutions, bilateral diplomatic relations increase the completion rate of cross-border M&As from and to China by facilitating exchanges between high-level leaders of the two countries and the establishment of Confucius Institutes. The results of the study show that bilateral diplomatic relations can help improve formal and informal systems to facilitate successful cross-border M&As, and the Chinese Government can draw on the succe…
subject: Research Article
  topic: section
subject: China
  topic: keywords
subject: Cross-border mergers and acquisitions
  topic: keywords
subject: Bilateral diplomatic relations
  topic: keywords
subject: Mediating effect
  topic: keywords
creator: YueChun Xu
creator: ChenXi Liu
creator: YuYing Wei
creator: Min Liu
rights: Copyright (c) 2025 YueChun Xu; ChenXi Liu; YuYing Wei; Min Liu https://creativecommons.org/licenses/by/4.0
date: 2025-11-29
publication date: 2025-11-29
starting page: 26
ending page: 37
doi: 10.61784/wjebr3072