The digital economy has become the core driving force behind the transformation of China’s job market. As the mainstay of employment absorption, the digital transformation process of small and medium-sized enterprises (SMEs) directly affects the growth of total employment and the optimization of employment structure. Based on data from authoritative institutions such as the Ministry of Industry and Information Technology, the China Academy of Industrial Internet, and the Tencent Research Institute, combined with academic research results, this paper systematically analyzes the current situation and mechanism of the digital economy’s impact on SME employment, examines the prominent problems encountered in the transformation process, and puts forward targeted policy recommendations. The research finds that the digital economy has a significant employment creation effect on SMEs: for every 1% increase in digitalization level, employment demand rises by 13.7%. In the second quarter of 2025, the total number of industrial digitalization-related jobs nationwide reached 60.009 million, with SMEs and individual households contributing over 80%. However, only 3.2% of SMEs have achieved a high level of digitalization at present, 68% of enterprises face a shortage of digital talents, and structural contradictions such as the digital divide and skill mismatch are prominent. In the future, it is necessary to fully release the employment empowerment potential of the digital economy by improving the transformation support system and strengthening digital skills training.

As the world accelerates towards the "carbon neutrality" goal, the green transformation of the energy system has become an inevitable choice in addressing climate change. Hydrogen energy, with its unique characteristics, is regarded as the "fourth-generation energy" following coal, oil and electricity, and plays a crucial role in addressing energy and environmental challenges. Germany, Japan, China, the European Union and other countries have all elevated it to a national strategy. This article focuses on the high cost issue of hydrogen storage and transportation, clarifies the cost differences among various storage and transportation technologies (high-pressure gaseous, cryogenic liquid, magnesium-based solid-state hydrogen storage, and ammonia/methanol carrier transportation), determines the optimal applicable scenarios for each technology, and provides solutions to reduce storage and transportation costs. This study employs a technical and economic comparison analysis method. Based on the cost data of hydrogen storage and transportation technologies (such as magnesium-based hydrogen storage costs and transportation costs over different distances) and technical parameters, it comparatively analyzes the economic performance of various technologies under different transportation distances and scales. Suggestions such as giving priority to hydrogen blending in existing pipelines and developing 35MPa road transportation can effectively reduce the cost of hydrogen storage and transportation, facilitate the large-scale application of hydrogen in transportation, industry and other fields, and provide support for the integration of hydrogen into the global sustainable energy system.

As the development and application of Artificial Intelligence (AI) technologies accelerate, their disruptive impact on the labor market has become a central issue in economic research. This paper aims to investigate the multifaceted mechanisms through which AI influences income inequality. It begins by reviewing the established theoretical frameworks linking technological progress to income distribution, followed by a survey of contemporary literature on AI's labor market effects. Building on this foundation, the paper develops a theoretical framework that delineates four primary channels through which AI may exacerbate inequality: enhanced skill-biased technical change (SBTC), capital-labor substitution, job polarization, and the "winner-take-all" effect. The analysis suggests that while AI substitutes for routine tasks performed by low- and middle-skill workers, it simultaneously complements the cognitive, social, and creative skills of high-skill workers, thereby widening the wage gap. Furthermore, as a form of capital, AI deepens capital-labor substitution and may contribute to the rise of "superstar firms," potentially leading to a decline in the labor share of income and amplifying inequality between capital owners and labor. Based on these findings, the paper concludes by proposing a comprehensive suite of policy recommendations, including reforms in education, modernization of the social safety net, and adjustments in labor market regulation and technology governance. These policies are designed to mitigate the adverse distributional consequences of AI while harnessing its potential for productivity growth, ultimately fostering a more inclusive society.

In the high-quality development phase characterized by the in-depth integration of digital industrialization and industrial greening, the synergistic empowerment of digital economy and green economy has emerged as the core impetus reshaping industrial ecosystems. As micro-entities in the market economy, small and medium-sized enterprises (SMEs) are not only participants in this synergistic development but also direct beneficiaries. Based on the synergy mechanism between digital economy and green economy, this paper systematically analyzes the development opportunities confronting SMEs in aspects of factor allocation, market expansion, technological innovation, and policy dividends. By addressing the practical pain points and challenges in SMEs' transformation, it proposes actionable development pathways from four dimensions: digital transformation empowerment, green technology breakthroughs, collaborative ecosystem construction, and precise policy alignment. This study aims to provide theoretical references and practical guidance for SMEs to achieve sustainable development under the "dual synergy" framework.

The built environment—encompassing infrastructure quality, spatial layout, and regional development planning—serves as a foundational external con-text that interacts with economic factors to shape enterprises’ strategic deci-sions and operational performance. This paper examines the combined influ-ence of the built environment and economic environment on enterprises from four integrated dimensions: macroeconomic cycles (aligned with regional built environment development stages), industrial policy orientation (linked to built environment planning), market competition structure (shaped by spatial ag-glomeration in the built environment), and factor cost fluctuations (affected by infrastructure accessibility in the built environment). Through simplified empir-ical analysis (typical cases + core indicator verification), it reveals how the built environment mediates the impacts of economic factors on enterprises’ revenue, costs, and risk management. Specifically, high-quality built environ-ment infrastructure enhances the efficiency of policy implementation and re-duces factor costs, while rational spatial layout optimizes market competition patterns. Finally, the paper proposes lightweight adaptation strategies for different types of enterprises to synergize with both built and economic environment changes. The study finds that the built environment moderates the elasticity of enterprise revenue to macroeconomic cycles; industrial policies and factor costs exert amplified or weakened effects depending on built environment conditions; and the built environment’s spatial agglomeration characteristics further define the boundaries of enterprise profit margins.

As a bridge connecting economic activities and ecological protection, green finance is inherently not merely a tool for capital allocation but also embodies profound ethical values. From the perspectives of environmental ethics, social justice, and intergenerational equity, this paper analyzes the inherent ethical connections between green finance and sustainable development. Through a literature review, it sorts out the status of relevant research, identifies issues in current green finance practices, including the "expansion of instrumental rationality" and "ambiguity of ethical boundaries"—and proposes solutions by constructing a "Three-Dimensional Ethical Balance Model for Green Finance." It also offers suggestions for path optimization from three aspects: value reshaping, institutional design, and subject synergy, aiming to provide theoretical references for green finance to return to the essence of sustainable development.