The Mitigating Effect of Carbon Tax on Industry, Transport and Service in Taiwan by Fuzzy Goal Programming

• Main Authors: Chia-YuChen, 陳佳榆
• Other Authors: Ching-Chih Chang
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/36949328940081753232

碩士 === 國立成功大學 === 交通管理學系碩博士班 === 100 === Due to rapid economic development, greenhouse gases (GHG), especially CO2, continue to increase and lead to irreversible environmental damage. With the pressure of global warming, The Executive Yuan of Taiwan has proposed to reduce the amount of CO2 emissions to the level of the 2000 by 2025. This paper uses Grey Forecasting model (GM) and Fuzzy Goal Programming (FGP) to construct a carbon dioxide reduction model, and find an optimal carbon tax scenario for Taiwan to achieve that level. Industry, transport and service sectors are discussed. The initial tax rate of is US$2.51 per tonne of CO2 will take 10 years to reach a total of US$25.13 per tonne of CO2. The results show that the tax rate must be raised to reach the target emission goal. To decrease the impact on economic growth when levying a carbon tax, the government of Taiwan is looking at initiating a subsidy policy.