Green finance is a pivotal market-oriented instrument for coordinating economic growth with ecological sustainability. Against the backdrop of China's Green Finance Reform and Innovation Pilot Zone (GFRIPZ) policy, this paper utilizes this policy implemented in 2017 as a quasi-natural experiment to investigate its impact on corporate environmental investment. Based on data from Shanghai and Shenzhen A-share listed companies from 2011 to 2024, this study conducts an empirical test using the Difference-in-Differences (DID) model. The results indicate that the pilot policy significantly promotes corporate environmental investment. Mechanism analysis demonstrates that the policy drives investment through two main channels: first, by increasing government environmental subsidies to provide fiscal incentives; and second, by strengthening regional environmental regulation intensity to exert external pressure. Furthermore, heterogeneity analysis reveals that the promoting effect of the pilot policy on environmental investment is more pronounced for non-state-owned enterprises and non-heavily polluting firms. This paper provides empirical evidence for assessing the micro-level effectiveness of green finance policies and offers theoretical support for optimizing resource allocation and driving a comprehensive green economic transformation.

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Based on my more than four years of work experience in the pharmaceutical industry, I once regarded "compliance" as an external constraint rather than a core competitiveness. In the era of short videos, numerous peers have released content that skirts regulatory rules to drive traffic and achieve considerable profits. This situation made me somewhat eager for quick success and instant benefits, as I was overly eager to achieve better results and more career development opportunities. Consequently, pharmaceutical supervision laws and regulations such as Decree No.24 once became a straitjacket that hindered me from creating outstanding and influential promotional content. Later, when contemplating entrepreneurship, I realized this issue—what was a constraint for me could also be an opportunity from another perspective. Upon reflection, the particularity of the pharmaceutical industry (e.g., the stringent restrictions on publicity stipulated in the Advertising Law and the Drug Administration Law) is precisely the cornerstone for building user trust. Some practitioners have resorted to edge-ball practices, leading to market chaos and a decline in consumer trust. During a business trip for market research last year, I found that traditional pharmaceutical marketing models (e.g., offline promotion) are experiencing diminishing efficiency. These models have failed to fully embrace the digital trend, resulting in the loss of early traffic dividends. The number of in-store purchasers has decreased, and more young people choose to buy pharmaceutical products through online food delivery platforms.

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Against the backdrop of the deepening implementation of the rural revitalization strategy, the development of the rural market economy has become a central lever for activating endogenous rural growth dynamics. As a critical component of rural infrastructure construction, public transport capital investment exhibits a profound interactive relationship with the development of the rural market economy. Grounded in public goods theory, coupling coordination theory, and industrial integration theory, this study employs the entropy weight method, coupling degree model, and coupling coordination degree model, combined with provincial panel data from 2010 to 2020, to systematically examine the interactive mechanisms between public transport capital investment and rural market economy development. The findings indicate that public transport capital investment promotes rural market economy development through three primary channels: reducing circulation costs, facilitating industrial agglomeration, and expanding market boundaries. In turn, the development of the rural market economy guides the efficient allocation of public transport capital via demand-driven forces, financial feedback mechanisms, and structural optimization. The coupling coordination degree between the two systems shows a year-by-year upward trend; however, pronounced regional disparities persist. The central and western regions lag behind the eastern region in terms of coordination levels, and within rural areas there exist dual imbalances characterized by "transport lag–market contraction" and "transport advance–resource misallocation". Based on these findings, this paper proposes policy recommendations including optimizing the investment structure, strengthening supply–demand alignment, and improving coordination mechanisms, thereby providing a reference for promoting the synergistic development of rural public transport and the market economy.

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In the digital transformation of enterprises, event logs are generated in large quantities, but mining process diagrams alone is insufficient to produce actionable value. This paper proposes the Diagnosis-Detection-Verification (DDV) framework, a novel process optimization methodology that bridges the gap between event logs and explainable interventions. The framework integrates three key components: (1) bottleneck diagnosis using criticality-indexed activity analysis, (2) hybrid anomaly detection combining rule-based filtering with Isolation Forest, and (3) data-driven intervention rule generation validated through log replay simulation. We demonstrate that DDV achieves state-of-the-art performance on BPI Challenge datasets (F1 = 0.82, + 5.1% improvement over Deep SVDD) while maintaining computational efficiency (26.5 × faster training than deep learning methods). Intervention rules generated by DDV reduce the average throughput time by 18.7% and improve SLA compliance from 67.3% to 82.6%.

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