標題: 以IMD 國家競爭力年報評估台灣基礎建設發展
Assessment of Taiwan Infrastructure development based on IMD The World Competitiveness Yearbook
作者: 游竣鴻
C.H.You
曾仁杰
R.J.Dzeng
土木工程學系
關鍵字: 基礎建設;國家競爭力;基因演算法;Infrastructure;The World Competitiveness Yearbook;Genetic Algorithm
公開日期: 2007
摘要: 基礎設施量的充足與否,以及質的良窳,攸關一個國家經濟發展的優劣;質優量足的基礎建設,不僅提供產業優質發展環境,提高社會總生產力,降低生產成本,帶動經濟持續成長,亦可促進區域均衡發展,縮小貧富差距,提升國民生活品質,並達成生態環境永續發展。本研究旨在建立國家基礎建設參考模式,並作為未來國家審議建設計畫之研議基礎,使國家基礎建設計畫之擬定更為客觀、公平。 本研究進一步將IMD (International Institute for Management Development)國家競爭力年報(World Competitive Yearbook, WCY)資料為基礎,建立資料庫分析系統,一方面用以與他國當年度基礎建設資料做比較,以利參考其它先進國家發展策略,以決定國家基礎建設投資分配;另一方面可比較歷年各指標變化趨勢,瞭解國家各基礎建設發展走勢。 研究流程分為以下兩個主軸進行並互相比較: 1.建置國家競爭力提升排名系統: 參照政府歷年基礎建設支出並利用基因演算法,在進步名次最大下搜尋出投資指標與投資金額最佳配置,並做敏感度分析以瞭解總投資金額與進步名次間關係。 2.建置國家競爭力借鏡它國系統: 依照國家各基本特徵條件分析與最劣勢指標相似分析,找出與台灣相近之借鏡國家,進一步藉由其指標差間距,做為台灣基礎建設進步之參考。
The degree of the country’s economic growth is based on the country’s infrastructure. Sufficient infrastructure not only provides high-grade environment of enterprise development , but also improves balanced development of region. This research establishes a decision-support system that helps determining the best budget allocation from the perspective of national competiveness based on the World Competitive Yearbook data published by Institute for Management Development. This research procedure is consisted of two steps: 1.Establish a decision-support system for infrastructure investment to improve competitiveness ranking A genetic algorithm is used to find the near-optimal allocation and a greedy algorithm is used to evaluate total investment by sensitivity analysis , which can then be used as a reference for a government to plan its infrastructure development plan. 2.Establish a decision-support system for infrastructure investment strategy of other nations to learn Based on basic characteristic and weakness criteria simulated analysis,we can find out appropriate nations to learn.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009516530
http://hdl.handle.net/11536/38687
Appears in Collections:Thesis


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