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Quantifying drivers’ acceptance of renewable fuel standard: Results from a choice experiment in South Korea
Institution:1. Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, San 56-1, Sillim-Dong, Kwanak-Gu, Seoul 151-742, South Korea;2. Korea Institute for Industrial Economics and Trade (KIET), 66, Hoegiro, Dongdaemun-gu, Seoul, South Korea;3. Center for Transportation Research, Cockrell School of Engineering, The University of Texas at Austin, 1 University Station C1761, Austin, TX 78712, United States;4. Technology Management, Economics, and Policy Program, College of Engineering, Seoul National University, San 56-1, Sillim-Dong, Kwanak-Gu, Seoul 151-742, South Korea
Abstract:The production and use of renewable fuels in the transport sector are rapidly increasing. Renewable fuel standard (RFS) is a strong regulatory component and quantitative policy expected to have a significant market impact. In Korea, RFS implementation was agreed upon in July 2013 and will be enforced beginning in July 2015. Drivers’ acceptance is the most important consideration for RFS introduction and sustainable implementation. This study analyzed Korean customer preferences for RFS and quantified their acceptance level according to policy design. A choice experiment was analyzed with a mixed logit model to reflect the heterogeneity of respondents’ preferences. Respondents were relatively sensitive to the price increase, while other attributes had little effect on acceptance of RFS. Differences between the influences of attributes on drivers’ acceptance should be considered when designing RFS implementation. Furthermore, it is recommended that the price of transportation fuels should be limited to an increase between KRW 10 and 20/liter (USD 8.879 × 10?3 and 1.776 × 10?2/liter) to ensure high acceptance level, secure a budget for infrastructure, and achieve substantial environmental improvement.
Keywords:Renewable fuel standard  Choice experiment  Mixed logit model  Social acceptance  Market simulation
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