Although wind energy is still unable to compete with traditional forms of power production on the free market, it is the world’s fastest-growing energy source with an average annual growth rate of 29 percent. This growth is mainly due to favorable policies set by the government. The reasons for these policies include the reduction of: pollution, fossil fuel dependency, and/or carbon emissions. Countries have utilized a number of wind energy incentive programs which have produced varying results. In the past, researchers have found that the “fixed tariff” incentive policy stimulates growth in the wind energy market, but produces a high price. In contrast, the “tendering tariff” has been found to stimulate much less growth with a low price. The cases of Taiwan and China have been analyzed in this thesis, and it was found that, contrary to expectations, the fixed tariff system in Taiwan has a lower price and has produced less growth than the tendering tariff system in China. The reasons for this purported in this thesis is that the model for understanding the dynamics of the policy was wrong. The price under the fixed tariff system determines the amount of development and the amount of land offered in the auctions determines the amount development in the tendering tariff system. The price in the tendering tariff system depends on the amount of competition in the bidding process. Taiwan has been frugal in their pricing of wind generated electricity and the Chinese government has shown determination to offer enough land for development in federal and local auctions to triple its goals. Other policies have also been analyzed including those favoring local companies. China’s large market has given it a bargaining tool for the use of such policies to stimulate joint ventures and local manufacturing, but Taiwan is too small for companies to take interest in similar policies. In Taiwan, companies have played a key role in establishing infrastructure because there was originally a general lack of policy despite political goals. This gave rise to the concept of the “global wind energy company” presented in this thesis. This type of company analyzes the markets of numerous countries before making the decision to enter. To find truly uncontested markets, a company may have to help create infrastructure in markets where it is lacking. Models of the country selection process are given along with strategy models for companies within the different policy systems.

綠能產業是政府六大新興產業的其中一塊，不僅期望解決台灣能源匱乏、 傳統發電設備老舊、能源過度依賴進口的問題，也期望能透過自組產業鏈，創 造經濟價值、就業機會，甚至能將相關技術出口，其中離岸風力發電是綠能產 業中非常重要的一環，台灣海峽有多個據點被知名的風能觀測機構評選為全球 最佳的離岸風場，極具開發潛力，然而，台灣的工程技術尚未達到足以自主開 發離岸風力發電的水準，再加上離岸風力發電的高期初成本、高風險特性，使 許多台灣廠商資金難以到位，工程進度延宕，進而喪失政府提供之補助。 台灣政府針對離岸風力發電所採取之補助方式為躉售電價法，以高於一般 電價的價格收購離岸風電，增加廠商投資誘因，而本個案即就目前唯一已如期 裝置離岸風力發電機之苗栗風場做個案探討，比較國內外廠商在經營此示範風 場上之淨現值及內部報酬率，並以敏感度分析找出包括：期初成本、保修成 本、躉售電價、容量因子…等變數變動的情況下，國內外廠商之獲利能力，並 提出現行政策的盲點以及可能的改進方式，例如：電價的調整、產業自主的必 要性、政策目標的優先順序…等。

綠色能源為大多數國家所追求之能源，我國政府也不例外，近年來開始推動綠色能源，如：太陽能、風力發電，依台灣各地區合適之發電條件，採取合適的綠能之發電方式，本研究為探討台灣西部地區離岸風力發電之民意調查，瞭解當地居民對於在當地外海興建離岸風力發電之看法，並深入了解是哪些因素影響對該計畫之贊成程度。 本研究問卷在台灣西部沿海縣市實施面訪，其中最多樣本數之縣市為彰化縣，因此除了觀察整體西部縣市受訪者回應之特性，亦觀察彰化縣之受訪者，並依問卷各項題目與計畫贊成程度題目做交叉分析，瞭解有哪些題目與受訪者是否贊成本計畫相關，並且以對應分析，將與贊成程度相關之選項來判斷與贊成度之關係，瞭解是具備哪些回答要素之受訪者會較不贊成本計畫，以及使用決策樹分析，利用分支來找尋贊成、不贊成、有條件贊成本計畫之因素。 研究結果顯示，所有題目均與計畫贊成與否之題目相關，唯獨有一題目與贊成程度不相關；在決策樹分析無不贊成該計畫之分支，因此若是要瞭解不贊成該計畫之原因，則這決策樹分析無參考價值，但由對應分析發現某縣與不贊成該計畫之選項相近，代表樣本較傾向於不贊成該計畫，因此將之樣本做決策樹分析，研究發現有部分特徵之受訪者一般最後會選擇不贊成本計畫。