This study examines the effects of corporate digital transformation on the environmental, social, and governance (ESG) performance of 988 A-share companies listed on the Shanghai and Shenzhen stock exchanges from 2012 to 2022. By employing a fixed-effects model, we delve into how these transformations positively influence ESG outcomes, while acknowledging the regional disparities in these effects. Building upon this, we explore the varied influences of environmental regulations—specifically, administrative directives and market incentives—on businesses' readiness and eagerness to undergo digital transitions. We develop two separate panel threshold regression models to assess these influences. The threshold existence tests reveal distinct single and double thresholds for the effects of each regulatory type. In light of these findings, we posit that fostering a greater number of enterprises to embrace digital transformation for enhanced ESG performance requires a collaborative effort between companies and the government to promote a balanced and sustainable development of China's economic, social, and environmental sectors.

This paper investigates the effect of corporate environmental responsibility (CER) on firm value, employing data from Chinese A-share listed firms over the period from 2009 to 2022. The findings reveal a significant U-shaped nonlinear relationship between CER and firm value, with results robust across a series of robustness tests. Mediation analysis indicate that CER enhances firm value by alleviating financing constraints and reducing firm costs, while the mediation effect of human capital is not significant. Furthermore, the effect is more pronounced for firms in eastern and central China, non-state-owned enterprises, and those in non-high-pollution industries.

Diversity management, as a critical issue in contemporary organizational management, seeks to harness the potential value of increasing employee heterogeneity through systematic diversity strategies while mitigating the risks associated with intergroup differences. Although this approach is widely implemented globally today, both the conceptualization of diversity management and the evolution of its related research remain marked by significant differences and ongoing debates. This article provides a comprehensive review of existing literature and empirical studies on diversity management from multiple perspectives. It outlines the historical development and origins of diversity management, traces the shift in organizational perspectives—from initial moral and legal considerations to five more systematic frameworks—and examines the foundational theories and divergent viewpoints associated with the field. Finally, the article explores potential future directions and anticipated challenges for diversity management, aiming to provide insights that can support both researchers and practitioners in advancing effective management practices and scholarly inquiry.

Small and Medium-Sized Enterprises (SMEs) are a cornerstone of China's national economy. Accounting for over 98% of all registered enterprises, they form the bedrock of economic activity. These businesses generate 60% of China's GDP, contribute approximately 50% of tax revenues, drive over 70% of technological innovations, and provide employment for more than 80% of the urban workforce. Often described as the "capillaries" of the economy, SMEs fuel growth and ensure social stability by sustaining livelihoods and fostering grassroots entrepreneurship. Despite their critical role, SMEs face systemic challenges in accessing financial resources. This study addresses these challenges through a mixed-methods approach combining empirical analysis, policy evaluation, and comparative case studies. By analyzing financial data from 2,000 SMEs (2018-2023). It further benchmarks China's SME financing mechanisms against Germany's Mittelstand support system and Japan's credit guarantee models It concludes that resolving these difficulties requires efforts from and improvements in government policies and the external environment.

This paper examines the mechanism through which exchange rate fluctuations impact stock prices by comparing two major automotive export companies—Ford and BMW—from the United States and Germany. The study is based on stock price and exchange rate data from 2005 to 2024, employing time series regression methods to analyse their sensitivity to different exchange rates (e.g., USD/EUR, USD/JPY, etc.). The results reveal that Ford exhibits a significant positive response to exchange rate changes, particularly USD appreciation, indicating that its cost structure is highly sensitive to exchange rates. In contrast, BMW has significantly reduced the impact of exchange rate fluctuations on its stock prices through effective financial and operational hedging strategies. The study highlights the role of corporate hedging strategies and macroeconomic conditions in the exchange rate transmission process, contributing to empirical research on foreign exchange risk management for multinational corporations.

This paper explores the potential impact of ESG ratings on corporate non-compliance and its mechanism of action. Based on the data of China's A-share listed companies from 2007 to 2022, the ESG disclosure index is constructed as a control variable using textual analysis, and empirical analyses are carried out using a two-way fixed effects model. It is found that ESG rating ranking has a significant inhibitory effect on corporate non-compliance, and the effect is relatively weak among state-owned enterprises, enterprises with large ESG rating divergence, and enterprises with high external attention. Further mechanism tests show that ESG rating ranking indirectly inhibits corporate non-compliance by reducing corporate financing constraints. This finding reveals the important role of ESG ratings in promoting compliant operations and provides new perspectives for understanding the relationship between ESG ratings and firm behavior. The findings of this paper have important theoretical and practical implications for improving corporate governance mechanisms, promoting sustainable development, and optimizing capital market resource allocation.

This research focuses on the operational efficiency of bus lanes in Beijing, using the morning commuting time of a high school student in Haidian Distrct, Beijing, as the time series analysis sample. It comprehensively employs time series analysis and on-site investigation methods to monitor and analyze the commuting data and traffic flow in core areas such as North Third Ring Road and Zhongguancun Avenue in Haidian District. At the same time, it uses questionnaire research methods, designs multi-dimensional questionnaires, and widely collects citizens' opinions and suggestions on the operational efficiency of Beijing's bus lanes. With the assistance of the Copilot for Power BI intelligent tool for questionnaire analysis, it explores the problems existing in the setting and use of bus lanes and their coordination with non-bus lanes, and proposes targeted optimization strategies. The aim is to improve the utilization rate of bus lane resources, alleviate urban traffic pressure, and provide new thinking directions and practical references for the improvement of Beijing's traffic.

The rapid development of the internet and digital technologies has ushered in a new era of marketing, characterized by the rise of new media. This study examines the evolution of marketing strategies in this dynamic landscape, focusing on communication model innovation based on consumer behavior. Drawing from extensive literature and recent studies, this research investigates the transformation of marketing communication, shifts in consumer behavior, applications of game theory, and emerging technologies such as blockchain and artificial intelligence in marketing. The findings reveal a significant shift from traditional one-way messaging to interactive, consumer-driven approaches. Social media and influencer marketing have emerged as powerful tools for brand-consumer interactions, while omnichannel and experiential marketing strategies have become essential for creating seamless customer experiences. The application of AI and automation in marketing has enabled unprecedented levels of personalization and real-time decision-making. The paper concludes that marketing in the new media world succeeds when it is interactive, personalized, and ethical, and changes with the increased pace of technology and consumer expectations.

Against the backdrop of China's national cultural digitization strategy, this study examines the impact of cultural industry digitalization on residents' overall consumption using provincial panel data (2014–2022). We construct an entropy-based indicator system that synthesizes five key dimensions—digital base, development environment, demand conditions, cultural innovation, and coordinated development—to comprehensively measure the level of cultural industry digitalization and apply two-way fixed effects model to identify mechanisms. Key findings demonstrate: (1) Digitalization of the cultural industry significantly boosts residents' overall consumption; (2) Stronger effects in rural areas than urban, and western regions than central/eastern; (3) The underlying mechanisms involve the upgrading of income and industrial structure. We recommend multi-dimensional digital upgrades, optimized income mechanisms, and differentiated regional strategies to promote the digitalization of the cultural industry and drive the growth of residents' consumption. These findings provide robust empirical evidence and policy insights for policymakers to optimize digital cultural infrastructure and narrow urban-rural and regional consumption disparities through targeted policy interventions.

Accelerating the digitalization of agriculture is a strategic key to effectively promoting the comprehensive revitalization of rural areas and an important factor in the modernization process of agriculture and rural areas. This paper selects relevant data from 18 prefecture-level cities in Henan Province from 2019 to 2023, constructs an evaluation index system, uses the entropy method to calculate the comprehensive index of agricultural digitalization development level, and selects the two-way fixed effect model to test the impact effect of the agricultural digitalization level. The research finds that the agricultural digitalization infrastructure in the agricultural digitalization development level has a significant promoting effect on rural revitalization. The agricultural digitalization development level has a significant promoting effect on farmers' income, but this effect is not obvious in the central and eastern regions. Based on this, it is proposed to strengthen the regional linkage development of agricultural digitalization, increase the training of digital technology talents, strengthen the construction of agricultural information infrastructure, and promote the level of large-scale agricultural planting. It is necessary to give full play to the leading role of Henan Province, a major agricultural province, in the process of agricultural digital transformation, and achieve common prosperity by improving the policy and institutional system of agricultural digitalization.