Enhancing Sustainable Development through Industry Output Analysis: A Case Study of Xiamen Port

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Xinyu Lin, Chen-Yuan Chiu, Yichia Lin

Abstract


Examining industry output, productive berths, and GDP in China informs effective policy strategies for sustainable development, with a focus on key ports like Xiamen Port in the southeast region of china. Utilizing multiple regression analysis, this study explores the relationships among industry output, productive berths, and GDP, particularly focusing on Xiamen Port's significance in China's economic landscape. A negative correlation exists between primary industry output and GDP, emphasizing the need for sustainable industrial policies. Secondary industry also influences GDP negatively, albeit to a lesser extent. Increased productive berths positively impact GDP, highlighting infrastructure's role in economic growth. Balancing economic growth with sustainability requires targeted policies. Infrastructure development is crucial for economic performance. However, cautious interpretation is essential due to regression analysis limitations.

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