International Journal of World Economic Research
International Journal of World Economic Research (IJWER) is an international, peer-reviewed journal. The mission of the journal is to provide an academic platform for scholars and practitioners to discuss the issues of economics, business, finance, management across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
A Study on the Impact of Digital Transformation on Carbon Emissions Reduction Performance in Export-Oriented Manufacturing Enterprises: An Empirical Analysis Based on Listed Company Data
Driven by the ‘Dual Carbon’ goals, reducing carbon emissions has become a consensus amongst enterprises. As an emerging economic model, the digital economy—with its characteristics of efficiency, intelligence and innovation—is emerging as a key driver of carbon emission reductions. Export-oriented manufacturing enterprises, as key producers facilitating the integration of the Chinese economy into global value chains, are crucial to the realisation of the ‘Dual Carbon’ goals. Given that China’s digital transformation began in 2011 and the availability of relevant data, this study utilises panel data from 1,093 listed export-oriented manufacturing enterprises in China between 2012 and 2021 to examine the impact of digital transformation on their carbon emission reduction performance. The findings reveal that: (1) export-oriented manufacturing enterprises have enhanced their carbon emission reduction performance through digital transformation; (2) Green technological innovation and factor allocation efficiency act as mediating variables, whilst environmental regulations can dampen the positive impact of digital transformation on carbon emission reduction performance; (3) The driving effect of digital transformation on the carbon emission reduction performance of export-oriented manufacturing enterprises varies across regions. Based on these findings, targeted recommendations are proposed from both the government and enterprise perspectives to better facilitate enterprises’ green transformation and green innovation, thereby further enhancing their carbon emission reduction performance.
Copyright (c) 2026 International Journal of World Economic Research https://creativecommons.org/licenses/by-nc/4.0
Research on the Real Dilemmas and Optimization Strategies of Agricultural Digital Transformation under the Background of Rural Revitalization
Rural revitalization is the overarching guiding principle for agricultural work in the new era. Agricultural digitalization, as a core business model deeply integrating the digital economy with modern agriculture, is a crucial lever for cultivating new agricultural productivity, promoting agricultural industrial upgrading, and achieving agricultural and rural modernization. This paper, based on the five dimensions of rural revitalization, elucidates the contemporary value of agricultural digital transformation, systematically analyzes the core dilemmas and underlying causes in the transformation process, and, combined with the realities of agricultural and rural development, proposes targeted optimization strategies from five aspects: infrastructure, talent development, data integration, entity activation, and institutional guarantees. The aim is to break through the bottlenecks of agricultural digital transformation, promote the transformation of traditional agriculture towards digitalization, intelligence, and greening, and provide theoretical reference and practical support for comprehensively advancing rural revitalization and accelerating agricultural and rural modernization.
Discuss the Value of Electronic Data as Evidence and The Criteria for Its Examination and Judgment
In the context of digital litigation, electronic data has become the most frequently used new type of legal evidence in civil, commercial, administrative, and criminal proceedings. Relying on binary code storage, electronic data differs from traditional documentary evidence and electronic documents, possessing unique attributes such as intangibility, ease of alteration, and reproducibility. While it has evidentiary value in efficiently reconstructing case facts and optimizing the allocation of judicial resources, it also suffers from inherent defects such as irregular evidence collection and difficulties in verifying authenticity. This paper, drawing on the research findings of scholars such as Peng Chasan, Zhao Changjiang, and Zhang Xin, clarifies the legal boundaries between electronic data and electronic documents, analyzes the diverse judicial value of electronic data, constructs a complete review and judgment standard around the three dimensions of evidentiary relevance, legality, and authenticity, and proposes improvement paths based on current pain points in investigative and administrative judicial practices.
The Systematic Construction of Financial Regulatory Law: Theoretical Foundation and Practical Path
With the deepening opening of China's financial market and the rapid iteration of financial technology, the financial industry is showing characteristics of mixed operation, digitalization, and cross-border development. The fragmented financial regulatory legal system, which is mainly based on single laws and supplemented by patch rules, is no longer suitable for the development needs of modern financial governance. For a long time, China's financial regulation has adopted a problem-oriented emergency legislation model, relying on a large number of "measures" and "notices" to respond to phased financial governance issues. Although this has the advantage of being flexible and adaptable to market changes, it has also caused drawbacks such as loose regulatory norms, confused value logic, frequent rule conflicts, and insufficient institutional connections, which can easily lead to governance problems such as regulatory gaps, regulatory arbitrage, and regulatory lag. Against this background, promoting the systematic construction of a financial regulatory law is a core measure to improve modern financial rule of law, prevent systemic financial risks, and promote the modernization of financial governance. Based on the current situation of China's financial rule of law construction, this paper systematically explains the practical necessity of the systematic construction of a financial regulatory law, deeply analyzes the four core theoretical cornerstones of financial security, financial fairness, financial efficiency, and financial consumer protection, and builds a systematic practical path from four dimensions: intrinsic value, external rules, implementation guarantees, and international cooperation. Combining the current pain points of financial governance, it proposes feasible improvement strategies. The aim is to shift the financial regulatory legal norms from a fragmented collection to an organic and unified system, and to build a modern financial regulatory legal system that is logically consistent, hierarchically clear, adaptable to innovation, and capable of preventing and controlling risks [10].
An Economic and Sociological Analysis of Workplace Stress Relief
Under the context of involution and overwork in China’s workplace, contemporary office workers experience heavy work pressure and sub-healthy status, and work-life imbalance. This thesis uses literature review and comparative analysis, using theories including leisure economics, opportunity cost, diminishing marginal utility and game theory, to investigate the significance of painting and dancing as regular leisure activities. After a comparison between their cost, utility and long-term benefits with other entertainment like going to bars, karaoke singing and short-video viewing, it can be found that painting and dancing as leisure choices are low-cost and productive in nature, contributing towards physical and psychological exhaustion recovery, regulation of emotions, enhancement of personal temperament, and generating implicit values such as social capital and extra income. On the contrary, traditional collective entertainment has a high cost and cannot generate any sustainable advantages except for temporary pleasure. With the foundation of the prisoners’ dilemma of involvement in the workplace, light art leisure can enable people to think out of utilitarian mindsets, enrich personal values and reduce competitiveness pressure. Limitations of the research include a lack of sufficient empirical data and a limited research scope. Suggestions have been raised for further academic research and daily leisure management.
The Guiding Effect of RMB Exchange Rate Expectations on Short-Term Cross-Border Capital Flows during the Federal Reserve Interest Rate Hike Cycle and Policy Responses
During the Federal Reserve interest rate hike cycle, higher returns on U.S. dollar assets, tighter global liquidity and shifts in risk appetite jointly reshape cross-border portfolio allocation. RMB exchange rate expectations therefore become a key guiding variable for short-term cross-border capital flows. This paper examines the transmission chain of “external tightening shock - exchange rate expectation adjustment - short-term capital flow response” from four mechanisms: interest-rate differential repricing, exchange-rate risk premium, asset price revaluation and corporate foreign exchange settlement behavior. Based on the two-way fluctuation of the RMB exchange rate and changes in China’s cross-border payment structure since 2022, the paper finds that depreciation expectations have a stronger triggering effect on short-term capital outflows and can resonate with offshore market sentiment, securities investment volatility and corporate hedging behavior. Appreciation expectations, by contrast, tend to restore settlement willingness and RMB asset allocation more gradually. Policy responses should focus on expectation monitoring, macroprudential adjustment, risk-neutral exchange-rate management and regional supply-chain finance services, so as to improve the forward-looking and refined governance of cross-border capital flows under external shocks.
Developing a Commercial Model for High-Altitude Cleaning Using Drones in the Context of China’s Low-Altitude Economy: A Case Study of Yunnan Kexing UAV General Aviation Company
As a strategic emerging industry prioritised for development in China, the low-altitude economy serves as a key driver for fostering new forms of productive capacity, with drones acting as the core vehicle for its practical application. The provision of high-altitude cleaning services utilising drone technology represents a new business model born from the integration of traditional service industries with the low-altitude economy. This paper takes Yunnan Kexing UAV General Aviation Co., Ltd. as its case study and, in the context of the broader domestic low-altitude economy, explores the logic behind the construction and implementation pathways of the UAV high-altitude cleaning business model. By analysing the company’s current operational status and project implementation processes, the study summarises the model’s distinct drivers of new forms of productive capacity, with drones serving a key advantage in technological innovation, operational efficiency, and market expansion, identifying three key innovative features: intelligent equipment upgrades, standardised operational procedures, and diversified service offerings. The study also highlights existing industry challenges, including inadequate policy support, inconsistent technical standards, and a lack of regulatory frameworks, whilst proposing targeted optimisation strategies and comprehensive implementation plans. The research confirms that the UAV high-altitude cleaning business model offers both economic and social value, capable of enhancing urban environmental management whilst fostering deep integration between the UAV industry and traditional service sectors, thereby demonstrating significant development potential. The findings of this study provide a theoretical basis and practical reference for the design of business models by similar enterprises, thereby contributing to the sustainable and healthy development of the low-altitude economy.
Curriculum Ideology and Political Teaching Design for Finance Majors Based on the Integration of International Comparative Cases
The development of curriculum ideological and political education for finance majors is a crucial endeavor in achieving the primary objective of "nurturing virtue and cultivating talent. International comparison examples, with their rich content, vivid contrasts, and convincing argumentation, serve as high-quality carriers for professional education and value guiding. Based on the intrinsic worldwide comparative characteristics of finance as a field, this study suggests a three-part teaching system of "theoretical teaching as foundation, simulated practice for deepening, and interactive teaching for elevation." Four types of comparison instances— Chinese and international financial regulatory regimes, financial crisis scenarios, capital market models, and corporate governance structures— are systematically integrated into three types of training modules. Practice shows that this design assists students in deepening professional cognition through multidimensional comparisons, improving critical thinking, strengthening institutional confidence and patriotic sentiment, and achieving the organic integration of knowledge transmission, ability cultivation, and value guidance.
The Impact of Digitalization of the Economy on High-Quality Economic Development in Chongqing
The rapid rate of digital innovation has helped drive economic growth. For Chinese authorities, a key policy question is whether and how economic digitalization can promote equitable resource distribution and high-quality development. Using longitudinal data from 2011 to 2020 for Chongqing’s 38 administrative units, this study applies the entropy-weighted TOPSIS method to measure the regional economic quality index. Regional variation analysis reveals that digitalization significantly improves economic quality and reshapes the economic landscape. Mechanism analysis shows that advancing digitalization drives superior development by enhancing fundamental infrastructure investment and stimulating innovation capacity. We also show that differences in progress stages and income distribution between urban and rural areas mediate the way in which the level of digitalization affects the quality of economic development. The findings demonstrate that digitalization is crucial for Chongqing’s pursuit of superior development outcomes. In the face of changing economic conditions, we should realize the importance of ensuring substantially greater compatibility between regional economic policy frameworks and digital transformation while also trying to shift focus from physical spatial planning to building digital ecosystems. These approaches can help sustain the ongoing benefits of digital technology while also supporting high-quality economic development.
This study applies the ARIMA model to analyze and forecast the daily opening price data of Industrial and Commercial Bank of China (stock code: 601398.SH), spanning from January 2019 to December 2024, with a total of 1,456 observations. The Augmented Dickey-Fuller (ADF) test confirms that the original series is non-stationary but becomes stationary after first-order differencing, establishing it as an I(1) process. The autocorrelation function (ACF) and partial autocorrelation function (PACF) plots of the differenced series exhibit a clear cutoff at lag 1, guiding model identification. Among 16 candidate ARIMA models evaluated using AIC, BIC, and HQIC criteria, the ARIMA (1, 1, 2) model is selected as optimal, achieving the lowest values across all three information criteria. Diagnostic checks, including the Ljung-Box Q-test at various lag orders (5, 10, 15, 18), indicate that residuals are white noise, confirming adequate model specification. The model demonstrates strong in-sample fit with an R-squared of 0.9145. Forecast evaluations over short-term (10 days), medium-term (50 days), and long-term (116 days) horizons yield MAE/RMSE values of 0.07/0.09, 0.05/0.06, and 0.08/0.11, respectively, indicating robust predictive performance across different horizons. The findings suggest that the ARIMA (1, 1, 2) model effectively captures the underlying dynamics of stock opening prices and provides reliable forecasts, offering valuable decision-making support for investors in volatile financial markets.
Can Data-Driven Tax Governance Improve Corporate Tax Compliance? Evidence from China's Golden Tax Phase IV Reform
Based on the reform of the golden tax in China's Phase IV, this paper studies the relationship between data-driven tax governance and corporate tax compliance. These days, most tax authorities have begun to establish information systems for reduced information asymmetry and stronger enforcement. Theories supporting the research on tax compliance have explored the impact of the deterrent effect of the deterrent model and technology on the development of the system in depth. How the paper analyzes changes in the compliance system for large enterprises due to combined electronic invoicing and data sharing platforms. Evidence from China shows that all-encompassing digitalising has achieved reduced tax evasion; at the same time, it has altered corporate governance and internal reporting. The following are deficiencies in the analysis: the cost of compliance and possible capital misallocation. To advance tax administration reform under the conditions of economic opening-up, reduce enforcement pressure and boost economic vitality simultaneously.
An Exploration of Export Green Upgrading Paths from the Perspective of Policy Shocks and Carbon Trading
Amid the ongoing reform of global climate governance, green trade barriers have been tightening worldwide. The combination of overseas carbon border control measures and domestic carbon trading systems has profoundly changed the development pattern of China's foreign trade, and low-carbon development has become the mainstream trend for the export industry. This article conducts research from the perspectives of policy shocks and carbon trading, integrating public data from the Ministry of Ecology and Environment, the General Administration of Customs, and the European Commission for analysis. The EU Carbon Border Adjustment Mechanism (CBAM) will be officially implemented in 2026, covering six high-carbon categories such as steel and aluminum, directly raising the overall operating costs of similar domestic export commodities. In 2024, China’s domestic carbon market achieved steady trading growth, and the carbon pricing system guided enterprises to conduct energy-saving retrofits. In the same period, the export of domestic wind turbines increased by 71.9% year-on-year, and the export volume of photovoltaic products exceeded 200 billion yuan for four consecutive years. As global demand for green products continues to rise, this paper puts forward five transformation directions based on industrial realities: institutional coordination, market optimization, technological R&D, supply chain collaboration, and participation in international rule making. These findings help exporters avert green trade risks and maintain market shares, while offering practical insights for regulators to improve supporting policies.
Development Ideas of Free Trade Zones Under the Background of The Digital Transformation of Cross-Border Trade
Under the background of accelerating the transformation of global trade mode and the wide application of digital technology, cross-border trade is gradually shifting from the traditional offline document flow, manual audit and segmented services to data-driven, platform collaboration and full-process digital operation. As an important platform for China's institutional opening up, the free trade zone is not only an important carrier for the digital transformation of cross-border trade, but also an important test site for exploring the innovation of high-level opening rules and service models. The digital transformation of cross-border trade has provided new development opportunities for the free trade zone to improve customs clearance efficiency, optimise the business environment, and expand the digital trade industry. However, it has also brought practical problems such as uneven infrastructure construction, imperfect data sharing mechanism, and insufficient supply of digital trade rules. Based on this, this article starts from the impact of cross-border trade digital transformation on the development of free trade zones, analyses the main constraints faced in the current development of free trade zones, and puts forward development ideas such as improving digital infrastructure, promoting data interconnection, exploring digital trade rules and strengthening protection paths, so as to improve cross-border trade for the free trade zone. Easy service capability and institutional innovation level provide reference.
Lacquer Painting Art, Rural Aesthetic Economy, and Cultural Tourism Consumption Upgrading
Lacquer painting is a traditional craft art with strong regional and cultural identity, and it has gradually become an important resource for rural revitalization in lacquer-producing regions. However, the artistic, cultural, and symbolic value embedded in lacquer painting often remains latent, fragmented, and difficult to convert into stable income for rural artisans and lacquer-art villages. Taking lacquer-painting-related rural communities as the research context, this study explores how lacquer painting art can be transformed into rural aesthetic economy value through craft recognition, aesthetic accounting, market participation, industrial integration, and benefit-sharing mechanisms. The study develops a conceptual framework linking craft value identification, aesthetic product transformation, market-based realization, and governance support. The findings suggest that the value realization of lacquer-painting-based rural aesthetic economy depends not only on artistic and cultural endowments, but also on intellectual-property clarification, craft inheritance support, cultural-tourism integration, digital branding, and community participation. This study contributes to the literature on cultural heritage valuation and rural aesthetic economy by explaining the practical pathway through which traditional craft advantages can be transformed into cultural tourism consumption upgrading.
Construction of a Performance Evaluation Indicator System for Transfer Payments: Based on the Input-Output Method
In recent years, transfer payments have expanded continuously in scale and been optimized steadily in structure, playing a significant role in equalizing regional fiscal capacity, safeguarding fiscal operations, and advancing the equalization of basic public services. However, problems in fund utilization may cause deviations between inputs and intended objectives. Against the backdrop of comprehensive disclosure of government budgets and final accounts and the full implementation of budget performance management, developing a comprehensive and scientific performance evaluation system for transfer payment funds is a practical necessity for improving the effectiveness of fund utilization and optimizing resource allocation. Based on the input-output method and following the fundamental principles of performance evaluation, this paper refines the selection and calculation of performance indicators and attempts to construct a quantitative performance evaluation indicator system for transfer payments, thereby improving the effectiveness of fund utilization, refining the performance management model, and preventing deviations between fund inputs and intended objectives.
Research on Anomaly Analysis and Judgment Method of Healthcare Based on Data-drive
With the rapid development of social healthcare, the number of insured individuals is gradually increasing, and information technology is gradually developing. Some unreasonable medical reporting behaviors that deceive large amounts of medical insurance funds from national medical insurance institutions, hospitals, and other medical industry institutions by fabricating physical conditions and concealing real situations are seriously endangering the construction of the social health development system. At the same time, the scale of the Cyber Physical System (CPS) for medical information is constantly increasing, and the inconsistency and inefficient utilization of existing medical information standards have led to a rapid increase in the overall complexity of the system. Ordinary real-time processing systems are unable to meet the computational needs of geometrically increasing data volumes. After years of medical informatization and the application of various medical information systems, it is difficult to achieve data sharing, mapping, and fusion based on medical insurance analysis, which includes a large amount of medical visit records and electronic data covering medical treatment time, treatment costs, and other contents. This study explores the new technological innovations sought by the medical field and proposes to conduct research and analysis on healthcare service datasets in the context of big data, focusing on the relevant methods of medical insurance anomaly analysis and big data mining techniques. Methods such as medical information standardization, relationship extraction, machine learning, and big data analysis are introduced to study the structuring of medical insurance data, big data assisted medical insurance case coding, medical insurance abnormal behavior mining, and active medical insurance judgment methods. It has important practical significance and value in promoting the standardization and structuring of medical insurance data, improving the efficiency of medical insurance anomaly analysis and detection, mining medical insurance quality, and assisting medical insurance research and judgment.
Hisense's Group Bonded Football Marketing Empowers Positive Overseas Development Inspiring Chinese Enterprises' Globalization with Long-Termism from Literature Review
Chinese enterprises have been going global for years with the gradual rise of influence and capability, as globalization enters a period of profound adjustment, how to achieve sustainable development and become real multinational enterprises has become a core objective for Chinese enterprises' globalization. This article takes Hisense Group as a core case study, systematically reviewing relevant literature on football marketing, positive overseas development, long-term strategy, and analyzing the internal logic behind Hisense's achievement of dual growth in overseas brand value and market performance through long-term football marketing. Existing research confirms the core role of long-termism in enterprises’ globalization, this case further provides a practical experience for Chinese counterparts, revealing that long-termism is a key guarantee for them to establish a sustainable way of positiveness and consistency.
Independent Director Dissent and Large Shareholder Tunneling
In recent years, with tightening capital market regulations and ongoing optimizations in corporate governance structures, the monitoring role of independent directors has garnered increasing attention. Using data from A-share listed firms in China from 2007 to 2024, this study examines the impact of independent director dissent on large shareholder tunneling behavior. The findings indicate that independent director dissent significantly curbs tunneling activities, a conclusion that remains robust after a battery of rigorous tests. Heterogeneity analysis reveals that the inhibitory effect is more pronounced in firms characterized by "excessive board appointments" and when dissent pertains specifically to "connected transactions." Mechanism analysis suggests that such dissent activates external governance mechanisms by triggering negative media coverage and enhancing information transparency, thereby amplifying market monitoring pressure to constrain tunneling. These results align with the governance logic that independent directors utilize signaling to activate external oversight and raise the costs of expropriation. This paper offers significant implications for refining the independent director system, preventing large shareholder entrenchment, and strengthening the protection of minority investors.
Enterprise-Led High-Value Patents Call for Patient Capital: A Data-Driven Empirical Analysis
High-value patents serve as a key indicator of regional innovation capability. However, existing research lacks systematic exploration of the structural characteristics and dynamic evolution of enterprise-led high-value patents. This study identifies and evaluates such patents from the perspective of regional innovation networks, providing a basis for optimizing innovation resource allocation, promoting cross-regional collaboration, and formulating intellectual property strategies in the Sichuan-Chongqing region. Focusing on enterprises in the Sichuan-Chongqing region and utilizing authoritative patent data, this study employs social network analysis to examine the development paths and network characteristics of enterprise-led high-value patents from multiple dimensions. High-value patent activities show an evolutionary trend from “policy-driven scale expansion” to “market-oriented quality optimization”, with an average growth cycle of 9.17 years. The cooperation network presents a “core-periphery” structure, with Sichuan and Chongqing as the hub, eastern coastal areas as the key region, and preliminary inter-provincial collaboration in western China. The technological layout constructs a collaborative innovation system centered on “computing” and “telecommunications”, evolving toward intelligent integration. The enterprise coupling network is characterized by the coexistence of leading enterprise guidance, industrial focus, and diversified collaboration.
Financial Geography, Carbon Emission Reduction, and County Economic Development
Promoting county-level economic development is a key task for achieving coordinated regional development, and the spatial pattern of financial resource allocation together with carbon emission constraints are two important factors affecting this process. Using county-level panel data of China from 2000 to 2019, this paper measures county economic development by nighttime light intensity, constructs county-level financial accessibility indicators based on geographical information of financial branches, and empirically examines the impact of financial accessibility on county development. It also investigates the moderating effect of carbon emissions and the mediating transmission mechanisms of technological innovation and industrial structure upgrading. The findings show that improved financial accessibility significantly promotes county economic development. This effect is more pronounced in counties with lower economic development levels and slower growth rates, but it is not significant in the short run in counties with extremely low initial financial accessibility. Carbon emissions negatively moderate the effect of financial accessibility, meaning that carbon emission pressure weakens the promoting effect of financial accessibility on county development. Technological innovation and industrial structure upgrading are two important mediating pathways through which financial accessibility indirectly drives county economic development. This paper provides new evidence for understanding county development gaps from the perspective of financial geography, reveals the complex mechanism of financial support for county development under carbon emission constraints, and offers policy implications for optimizing the layout of financial branches, implementing differentiated green credit policies, and promoting low-carbon transition at the county level.
Research on the Evolution Trends of Industrial Structure and Spatial Agglomeration under Exogenous Trade Shocks
The global trade pattern is disturbed by policy adjustments, public health events, and geopolitical situations, and external trade shocks have become normalized, profoundly affecting the upgrading of China's industrial structure and the evolution of regional agglomeration patterns. To clarify the intrinsic relationship between exogenous trade shocks and domestic industrial development, this paper draws on official statistics from the National Bureau of Statistics and the General Administration of Customs. Taking into account the real scenarios of rising trade barriers and cross-border supply chain fluctuations, it analyzes the evolution of the three industrial structures and the differentiation characteristics of the manufacturing industry under external shocks, and explores the restructuring direction of the industrial agglomeration pattern in coastal and inland areas. Research has found that changes in the external economic and trade environment are forcing export-oriented industries to accelerate their transformation. Labor-intensive industries feature concurrent domestic gradient relocation and overseas transfer. High-tech industries continue to converge towards core urban clusters, and industrial spatial layout is gradually departing from the coastal unipolar layout and evolving towards multi-regional coordination. Based on the practical shortcomings of industrial development, proposing targeted optimization paths can provide theoretical basis and practical reference for regional industrial planning and safeguarding the security of industrial and supply chains.
A Study on the Development of Cultural and Creative Industries under the Background of Cultural-Tourism Integration
In the contemporary era of cultural and tourism integration, the cultural and creative industry, as a pivotal sector facilitating the in-depth amalgamation of cultural and tourism industries, possesses profound theoretical and practical significance. This paper systematically elaborates on the conceptual connotation of cultural-tourism integration, analyzes the current developmental status and evolutionary trends of the cultural and creative industry, and further explores the opportunities and constraints encountered by the industry within the integrated cultural-tourism development framework. Based on an empirical analysis of typical successful cases, including the cultural and creative practices of the Palace Museum, Lijiang, and Dunhuang, this study verifies that the sustainable prosperity of regional cultural and creative industries is primarily attributed to the in-depth excavation of endemic cultural resources, systematic brand construction, and diversified cross-industry collaboration. Furthermore, this research puts forward targeted optimization strategies to promote the standardized and high-quality development of the cultural and creative industry. The proposed countermeasures cover five dimensions: the intensive exploration and innovative transformation of cultural resources, the advancement of cross-border integration and industrial synergy, the consolidation of brand building and market expansion, the enhancement of independent innovation capability and professional talent training, and the improvement of institutional policy support and legal guarantee systems. The research findings indicate that the development of the cultural and creative industry is embedded in a dual context of opportunities and challenges under the cultural-tourism integration paradigm. The implementation of scientific and rational developmental strategies can effectively drive the sustainable development of the cultural and creative industry, and ultimately achieve a mutually beneficial balance between cultural inheritance, innovation and industrial economic development.
Reflections on the Application of Environmental Data Science in Environmental Systems Under the Background of Climate Risk
Global climate change grows increasingly severe, with compound climate risks repeatedly disrupting natural ecosystems and urban living environments. Applying targeted technologies to strengthen risk prevention mechanisms stands as a key priority in environmental governance. Drawing on the WMO 2024 Global Climate Report, key findings from the IPCC Sixth Assessment, and the ongoing operations of 33,000 national ecological monitoring stations, this paper explores the technical framework and practical applications of environmental data science. The article elaborates on the practical value of this discipline in the fields of watershed ecological governance, urban environmental operation and maintenance, and regional ecological protection, and identifies prominent practical problems such as data resource fragmentation and insufficient model regional adaptability in industry development. Based on the actual development of ecological governance in China, this article proposes feasible improvement ideas with targeted measures. These findings offer robust theoretical and practical insights for strengthening climate risk resilience, enhancing environmental systems’ ecological carrying capacity, and advancing refined ecological governance based on environmental data science.
Practical Reflections on the Application of Double Machine Learning in Policy Evaluation
This paper presents the application scenarios of double machine learning in policy evaluation. Double Machine Learning is feasible because it has flexible prediction methods and orthogonal scores, and can be used to estimate the causal effect of numerous high-dimensional control variables after sample splitting. In the policy setting, this way can reduce the problem of functional form dependence and use an abundance of covariates to obtain more reliable standard errors. At the same time, successful application should also be accompanied by a high degree of transparency, minimal overlap, reasonable tuning of the nuisance model, and an actual policy problem. The two models can be seen as a system for causal inference rather than as separate blocks that can be plugged in and used together. Based on the literature of policy evaluation and the basic econometric foundation of DML, this paper will specify when DML is more suitable for application in practice and what precautions applied researchers should take.
The Post-Pandemic Shift: An Economic Analysis of User Preferences and Willingness-to-Pay for Public Transport Safety and Hygiene Measures in Uzbekistan
This paper investigates post-pandemic changes in public transport user preferences and willingness-to-pay (WTP) for safety and hygiene measures in Uzbekistan. The study responds to the COVID-19 pandemic, which changed passenger perceptions of health risk and weakened confidence in shared mobility systems. Using survey evidence from Tashkent and Samarkand, the paper examines how commuters value regular sanitization, improved ventilation, hand sanitizer availability, mask enforcement, and crowd management. The results show that passengers now place safety and hygiene among the central attributes of public transport service quality. Mean WTP for improved safety and hygiene is positive but moderate, with ventilation and sanitization receiving the highest valuations. Regression results indicate that income, education, perceived health risk, travel frequency, and age significantly influence WTP. The findings suggest that safety improvements can support passenger confidence, but fare-based financing must be balanced with affordability and equity concerns.
Tourism Development and Promotion Strategies of Ancient Towns in Chongqing from the Perspective of Thai Tourists
With the deepening of globalization, China’s inbound tourism market has shown a strong recovery momentum. Especially driven by the China-Thailand visa-free policy, Thai tourists’ enthusiasm for traveling to China is expected to rise further. As the economic and cultural center in southwest China, Chongqing has become a popular destination for Thai tourists with its unique mountain-city features and rich historical relics. This study uses word cloud analysis to examine package tour data from Thai travel agencies to China, and combines word cloud analysis with grounded theory to analyze travel vlogs about China posted by Thai travel bloggers on YouTube, so as to identify the tourism preferences of Thai tourists visiting China. The combination of the two methods provides a comprehensive analytical perspective with both breadth and depth. The results show that ancient towns in Chongqing have significant appeal to Thai tourists due to their simple architectural styles and profound cultural deposits. However, the development of ancient-town tourism presents a polarization: well-known ancient towns suffer from overcrowding, while lesser-known ones lack visitor arrivals. In addition, ancient-town tourism is confronted with challenges such as over-commercialization, inadequate supporting facilities and management, and homogeneous operation. From the perspective of Thai tourists, this study analyzes their tourism preferences and proposes further development strategies for ancient-town tourism in Chongqing targeting Thai tourists.
Research on the Impact of Trade Facilitation Level on the Export Scale of Cross-border e-commerce in Laos
The export scale of Cross-border e-commerce in Laos is affected by factors such as customs clearance efficiency, logistics infrastructure, Cross-border payment, policy environment and digital supervision level. Improving the level of trade facilitation can reduce the time cost and institutional barriers of export links, and strengthen the ability of enterprises to participate in the international market. The analysis of the mechanism of trade facilitation on the export scale of Cross-border e-commerce in Laos can reveal the impact path of customs clearance facilitation, logistics coordination and policy support on export growth, and provide a reference for Laos to optimize the business environment of Cross-border e-commerce, expand the export scale and enhance the competitiveness of regional trade.
The Internal Logic and Practical Approach of the Integration of Sports, Culture, and Tourism in Qingyuan from the Perspective of "One Belt, One Corridor, One Area"
Against the backdrop of Guangdong Province deeply advancing the regional coordinated development strategy and accelerating the construction of a new development paradigm, Qingyuan City, based on its own resource endowments, has proposed the construction of a new 100-billion-yuan tourism development pattern known as "One Belt, One Corridor, One Area". This spatial strategic planning is not only a re-examination of the municipal economic geography but also provides an important physical spatial carrier and institutional development opportunity for the cross-border deep integration of regional sports, culture, and tourism industries. Moving beyond traditional quantitative measurements and empirical models, this paper adopts a theoretical speculative perspective of qualitative research, combining the theory of new productive forces, regional coordinated development theory, and industrial integration theory, to systematically and profoundly sort out the internal logic of the integration of sports, culture, and tourism industries in Qingyuan under the "One Belt, One Corridor, One Area" framework. The research posits that the integration of Qingyuan's sports, culture, and tourism industries is essentially a theoretical requirement for the reorganization of cross-border production factors and the extension of value chains. It is also a practical reflection echoing supply-side structural reform and the upgrading of mass experiential consumption structures, while highly aligning with local high-quality development strategic orientations and macro-regional positioning to a certain extent. Addressing the practical dilemmas currently faced by Qingyuan in this process—such as the need for optimized top-level design synergy, shallow industrial integration, a delayed pace of digital transformation, and insufficient regional resource coordination—this paper explores the composite dynamic mechanisms driving this integration from four dimensions: policy and institutional guarantees, digital technology transformation, industrial innovation development, and market demand evolution. Furthermore, it systematically analyzes multiple model selection paths, including industrial integration, reorganization, extension, and penetration. Ultimately, the study proposes practical approaches with a certain degree of feasibility, encompassing optimizing top-level design to gradually alleviate institutional barriers, building regional sharing platforms to promote the rational flow of factors, strengthening digital empowerment to expand new consumption scenarios, and relying on major sports events and festivals to cultivate characteristic cultural and tourism brands. This aims to provide solid theoretical support and decision-making reference for Qingyuan City in building a high-quality tourism and holiday destination in the Guangdong-Hong Kong-Macao Greater Bay Area.
A Study on the Applicable Law in Shareholder Capital Contribution Disputes
The corporate capital system is the core cornerstone of the company law system, and the principle of capital maintenance is a key criterion for maintaining the security of commercial transactions and protecting the legitimate rights and interests of companies and creditors. Since the implementation of the subscribed capital system reform, disputes over defective share transfers and shareholder withdrawal of capital contributions have frequently occurred. In judicial practice, there have long been differing opinions on issues such as the litigation standing of shareholders acquiring defective shares, the exemption from liability for withdrawal of capital contributions, and the determination of liability for assisting in torts by corporate executives. This paper takes a shareholder contribution dispute case between a Tianjin education company and a Shanghai pump company as a case study, combining the current Company Law and relevant judicial interpretations, focusing on the core legal disputes of the case, and deeply analyzing three core legal issues: the rules for exercising the common interests of shareholders with defective shares, the statutory nature of liability for withdrawal of capital contributions, and the standards for determining the fault liability of directors and executives. The study finds that shareholders' obligation to contribute capital is a mandatory statutory obligation, which cannot be exempted due to the company's operating status, defective shares, or internal autonomy; shareholders acquiring defective shares legally enjoy the common interests of shareholders and have the litigation standing to sue shareholders who have withdrawn capital contributions; the determination of joint liability of corporate executives must adhere to the principle of fault liability, and mere official position does not constitute a basis for tort liability. The second-instance judgment in this case clarified the ambiguous boundaries in commercial trials and unified the standards for adjudicating similar cases. Based on an extended analysis of the disputed issues in this case, this article summarizes the difficulties and pain points in the current judicial application of shareholder contribution disputes, and proposes targeted optimization ideas for judicial application and compliance suggestions for commercial entities, providing theoretical and practical references for improving the adjudication logic of shareholder contribution disputes and regulating the investment behavior of market entities.
The Application of Artificial Intelligence in Personalized Marketing
With the all-around development of digital marketing and personalised advertising, artificial intelligence technology has now begun to change the structure of the marketing system to a certain extent. Systematically present the technical structure (data layer and algorithm layer) and basic application scenarios of AI in personalised marketing in this paper, such as user profiling and segmentation, personalised recommendation systems, intelligent pricing and promotion, and automated content production. Research has shown that AI can improve the conversion rate and increase the efficiency of user operation, but there are still problems such as a lack of transparency in algorithms, privacy risks, information cocoons, and a weakening of brand culture; in the future, efforts will be made to promote the sustainable and responsible development of personalised marketing by coordinating technological innovation with ethical governance.