Economic dynamics have been driven in a high pace, and understanding the trajectory of the economics is important. Technology advancement and globalization have triggered a paradigm shift in the recent economic growths from a supply-driven to demand-driven market. The change greatly impacted the policy makers’ decision flow to make effective policies in a timely base. Three economic policy decision models: top-down, bottom-up, and interactive, are researched and compared in this paper to reflect the differences. This research utilizes cluster mapping framework and growth dynamics to derive Taiwan’s economic landscape and agglomeration models. Through the analyses of cluster dynamism, challenges and potentials are pointed out, and a graphical tool is designed to unite policy makers, practitioners, and researchers for effective economic development initiatives. Finally, a conclusion is made with recommendations on Taiwan’s cluster initiatives.

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