台灣電動機車特徵價格與購車補助政策分析

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题名:	台灣電動機車特徵價格與購車補助政策分析
作者:	張國鳳;CHANG, KUO-FENG
贡献者:	產業經濟研究所在職專班
关键词:	電動機車;最小平方法;PBGN聯盟;固定效果模型;Electric motorcycles;OLS;Powered by Gogoro Network;Fixed effect model
日期:	2020-07-20
上传时间:	2020-09-02 16:57:48 (UTC+8)
出版者:	國立中央大學
摘要:	近年無論是能源或環保議題的研究與探討儼然成為全球論壇顯學，面對移動汙染源對環境及健康的威脅，世界各國均投入大量資源倡導節減碳及降低空氣污染，燃油車輛對環境的影響已是無可迴避的課題，綠色經濟崛起改變產業結構，隨著機車產業技術的發展及演進，台灣電動機車從技術研發到產品品質都能與燃油機車抗衡。尤其是消費者重視的最高速限、騎乘距離及充電便利性都有顯著改善，為加速汰換老舊燃油機車，中央及地方政府購車補助政策持續。本研究以2016年至目前電動機車車款資料與台灣電動機車補助數量為研究樣本，參考過去電動車技術與市場面的特徵因子之文獻探討建構本研究框架。　　電動機車特徵價格分析採最小平方法(OLS)，研究顯示機車馬力為電動機車基本關鍵因素，安全性能與限量規格為重型機車價格關鍵影響因素，而輕(小)型機車則以續航能力與爬坡度為價格影響關鍵因子。　　購車補助實證分析採Panel Data二元固定效果模型探討，研究顯示購車補助政策的對電動機車數量的影響差異，汰舊換新補助效果優於新購補助方案，教育程度越高縣市對電動機車接受度較高，在空氣品質指標(QAI))數據上無顯著的影響。 ;In recent years, the research and discussion of energy or environmental issues have become a global forum. In the face of the threat of mobile pollution sources to the environment and health, countries around the world have invested resources to advocate carbon reduction and air pollution reduction. The impact of fuel vehicles on the environment has been Inevitable issues, the rise of the green economy has changed the industrial structure. The development and evolution of the ocomotive industry technology, Taiwan′s electric motorcycles compete with fuel motorcycles from technical research and development to product quality. In particular, the speel limit, riding distance and charging convenience that consumers value have been significantly improved. For accelerate the replacement of old fuel motorcycles , the central and local governments continue to purchase car subsidies. This study takes the electric vehicle model data from 2016 to the present and the number of Taiwan electric vehicle subsidies as a research sample, refers to the literature of electric vehicle technology and market characteristics in the past to discuss and construct this research framework. The hedonic price analysis of electric motorcycles adopts the Ordinary Least Square model (OLS). Research that motorcycle horsepower is the basic key factor of electric motorcycles . Safety performance and upgrade specifications are the key factors affecting the price of heavy motorcycles . The duration and grade slope are key factor affecting price for Light(small) motorcycles. The empirical analysis of car purchase subsidies is based on the Panel Data Two-way fixed effect model. The research resylts confirm that the difference in the impact of the car purchase subsidy policy on the number of electric vehicles, the replacement of the old replacement subsidy is better than the new purchase subsidy program, the higher the education level, and the higher the acceptance of electric vehicles in counties and cities, in the Air Quality Index (QAI) data There is no significant impact.
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