Nansha Economic and Technological Development Zone, as a key strategic platform within the Guangdong-Hong Kong-Macau Greater Bay Area (GBA), serves as a vital engine for regional economic growth and industrial upgrading. This paper delves into the integration pathway of “port logistics—port-proximate industry—technological innovation” in Nansha and the pivotal role of policy instruments in spurring regional economic transformation and upgrading. It unveils the rationale underpinning Nansha’s evolution from a conventional industrial base to a hub for new productive forces. The analysis reveals that Nansha must refine policy execution, bolster cross-regional collaboration, and enhance industrial chain coordination. The paper provides recommendations such as streamlining policy procedures and upgrading education and healthcare infrastructure, offering insights into institutional innovation and industrial integration within regional development zones. Furthermore, Nansha’s strategic significance lies not only in its role as a driver for regional economic growth, but also in its potential to serve as a model for innovation and cooperation in the global economic landscape. Additionally, it underscores the significance of Nansha’s strategic advantages in the context of China’s “dual circulation” development strategy, providing a reference for other regional development zones striving for high-quality development through policy and industrial integration.

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This paper compares the financial performance, market strategies and positioning of the four key players in the competitive athletic apparel industry; Nike, Lululemon, Under Armour, and Athleta, The Gap. This study evaluates how each business creates and preserves its competitive advantage in the market where rapid changing consumer demand occurs through SWOT analysis. The findings reveal that by integrating wellness and strong community ties to build loyalty and maintain growth. Nike continues to dominate the world market through its excellent marketing strategies of emotional marketing, female-centric marketing and sponsorships that resonate globally. Although Under Armour struggles with consistent branding, its tech-driven designs appeal to young people. As a subsidiary of Gap Inc., Athleta advocates for eco-consciousness and women empowered messaging, but its brand recognition and unique selling points are still quite low compared to its larger competitors. This study helps to bridge the gap between consumer behaviour, gender-focused branding, and financial analysis. The innovation of the paper to evaluate brand competitiveness comprehensively, is to combine financial health comparison with strategic marketing evaluation.

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With the rapid development of consumer finance, personal credit business is becoming increasingly active in the financial market, but it is also accompanied by significant credit risks.How to use big data methods to achieve efficient and accurate default prediction has become a core issue in the field of credit risk control.This article takes the Home Credit Default Risk dataset on the Kaggle platform as the research object, and uses data mining methods to systematically analyze the statistical correlation between external credit scores, borrower annual income, loan amounts, and other key features and default risk.By using Information Value (IV) and Kernel Density Estimation (KDE) methods to screen high discriminative force variables, and based on data distribution characteristics, a prediction model with Random Forest and Extreme Gradient Boosting Tree (XGBoost) as the core is constructed to compare its performance under precision, recall, F1 value, and AUC indicators.The results show that XGBoost has better recognition ability in imbalanced data scenarios, while random forests have more advantages in feature interpretability.The research results not only verify the effectiveness of the feature distribution driven model design, but also provide practical suggestions and theoretical support for financial institutions in pre loan risk screening and dynamic monitoring during loans.

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Climate change has been one of the most pressing issues of this century, and it requires urgent and concerted global action. In the meantime, technology has become a critical tool in mitigating and adapting to its impacts. This essay, through a method of literature review, explores how various technological innovations, such as renewable energy, carbon capture, artificial intelligence, and smart infrastructure, play a role in mitigating greenhouse gas emissions, fostering climate resilience, and promoting energy transitions. Through case studies and secondary research, this paper demonstrates how a wide range of technological innovations help reduce carbon emissions and strengthen climate resilience. The findings underlined the importance of technological innovations in transitioning to a low-carbon economy while also revealing some existing barriers such as high cost, policy gaps, and social resistance. Finally, the essay argues that global cooperation, a strong policy framework, and equitable use of technological solutions are essential for further success.

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