英文摘要 |
Most of literature studied the technology-learning diffusion, while exploring the combination of innovative technologies for CO_2 reduction, using the least cost as the objective function of the linear programming model. If there is no demand-pull market-diffusion model, the linear programming model will select fully the low-carbon technologies to meet the restriction of carbon reduction of model, which is an unreasonable phenomenon of emerging technology diffusion. The main purpose of this study is to establish the demand-pull market diffusion curve by the viewpoint of consumer's investment, then input it into the linear programming model to find out the cost-effectively combination of innovative technologies to reach the goal of carbon reduction. The main contribution of this study is to compare the different results with or without market diffusion curves by scenario analysis, and prove the necessity of incorporating emerging technology market diffusion into the linear programming model. In addition, this study explores important factors of influencing the diffusion of emerging technology in the transport sector, including government subsidy policies, the fluctuation of oil prices and impacts on carbon reduction targets. The results show that pure electric vehicles is the most potential technology for carbon reduction, and high oil prices have a significant impact on market demand-pull for various types of electric vehicles. Therefore, while decline of oil prices is not conducive to the diffusion of electric vehicles market, the Government needs to increase subsidy policies, which would be possible to stimulate electric vehicle investment decisions of consumers, and to enhance the carbon reduction contribution of transport sector. The results of this study will help governments assess the effectiveness of market diffusion of electric vehicles induced from the subsidy policy, and evaluate the contribution of reaching carbon reduction targets by emerging technologies in transport sector. |