The deep integration of the digital economy with traditional industries constitutes a core pathway for the high-quality development of manufacturing. Taking Quanzhou's nine major industrial clusters as the research object, this study employs a combination of field investigation and cross-regional comparative analysis to systematically examine the current state of digital-industrial integration from four dimensions: integration foundation, service ecosystem, demonstration effects, and integration outcomes. The analysis identifies three major contradictions: the asymmetry between full-scale coverage and efficiency transformation, the disconnect between leading-firm-driven development and systemic diffusion transmission, and the structural mismatch between ecosystem building and the depth of collaborative integration. In response to the characteristics of Quanzhou's private economy and its industrial endowments, this study constructs an adaptive development pathway system for digital-industrial integration from four dimensions—inclusive empowerment, technological adaptation, whole-chain coordination, and policy support. It further proposes specific implementation strategies, including a private economy-oriented inclusive empowerment system, a technology adaptation ecosystem guided by specialized industries, a full industrial chain data collaboration mechanism, and a precision-oriented policy implementation and governance framework.

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Against the backdrop of enterprise digital transformation, financial shared service centers are confronted with multiple challenges, including efficiency bottlenecks, data silos, and rising labor costs. This study focuses on the need for process optimization in financial shared service centers. Taking Robotic Process Automation (RPA) as the core technology and integrating artificial intelligence techniques such as Optical Character Recognition (OCR) and Natural Language Processing (NLP), it develops automated solutions covering three key scenarios: accounts payable, expense reimbursement, and report generation. The study proposes a standardized implementation framework encompassing process selection, tool alignment, development specifications, and performance evaluation. It also introduces a human–machine collaboration model characterized by "robots handling repetitive tasks while humans focus on value creation". Based on literature analysis and scenario simulation, the findings indicate that the RPA-based optimization solution can reduce the processing time of individual transactions by over 70%, lower the error rate to below 0.1%, and achieve labor cost savings exceeding 30%. This research provides both theoretical support and practical guidance for the intelligent transformation of financial shared service centers.

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For the whole world, poverty problem has persisted for a long time. To study the impact of tourism polices on poverty alleviation, this dissertation employs a literature review and case analysis approach. On the basis of reviewing relevant research literature, choosing Guizhou province in China as a case study, conducting in-depth study. The result revealed that national tourism poverty alleviation policy for Guizhou province effectively reduced the gap between urban and rural disposable income in Guizhou province. For urban residents, tourism policies have significant improvement in net income from individual operations and net property income growth. For rural residents, tourism policies have improvement in per capita disposable income of permanent rural residents, wage income, net business income, net property income and net transfer income. Baiyun District has the smallest rural-urban gap. However, because poverty alleviation is the result of multidimensional and multifaceted collaborative efforts, the promulgation of tourism policies may be just one of the factors. In addition to this, factors such as relevant economic policies and technological advancements also exert an influence. As a result, poverty alleviation efforts should be tailored to local conditions and areas with different geographical conditions should employ different approaches.

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Digital transformation has injected core momentum into industrial integration. Based on four dimensions including digital technology innovation, this paper constructs a comprehensive evaluation index system covering five dimensions, uses the coupling coordination model to measure the integration level of the two industries in 29 provinces in China from 2009 to 2024, and analyzes the heterogeneity from three dimensions: time, space, and industry. The research finds that: the integration of the two industries has steadily climbed, with the coordination level advancing from barely coordinated to moderately coordinated; spatially, it presents a pattern of "southeastern leadership and inland catch-up", forming three radiation centers; industries such as education are leading in integration with advanced manufacturing, while industries such as finance are slower in integration. Based on this, four suggestions are put forward, including optimizing the regional layout and promoting the differentiated development of industries, to provide reference for the in-depth integration of the two industries and empowering high-quality economic development.

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