Estimating shadow prices of PM2.5 and NOx for transportation modes in Taiwan: Stochastic semi-nonparametric envelopment of data (StoNED) approach

• Main Authors: Yi-Hsiu Lin, 林怡秀
• Other Authors: Huey-Kuo Chen
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/eaj2k8

碩士 === 國立中央大學 === 土木工程學系 === 107 === With the growing environmental awareness, people become more concerned about the relevant issues of air pollution. Air pollution does not only cause adverse environmental effects, but also cause serious health conditions. However, the majority of research is focused on stationary sources. Not much research has been done on the air pollutant emissions of mobile sources. Thus, this paper applies convex nonparametric least squares (CNLS) and stochastic semi-nonparametric envelopment of data (StoNED) model to study the shadow prices of PM2.5 and NOx for 11 transportation modes in 7 air quality areas of Taiwan in 2013 with aim to find a reference for policy makers to improve our air quality via reducing pollutant emissions of mobile sources. The result show that most range of estimated shadow prices of PM2.5 and NOx with respect to four-stroke scooter and two-stroke scooter are the same. The range of estimated shadow prices of the two pollutants with respect to private gasoline sedan are high meaning that government should pay more attention to develop new technology for private gasoline sedan to reduce pollutant emissions. When dealing with mobile sources pollutant emissions, policy maker can give different subsidies to different areas to develop new technology such as promote electric vehicle to phase out old sedans for improving level of air quality.