A study of the application of eco-efficiency to Taiwan cities and counties development

• Main Authors: Li, Che Yu, 李哲宇
• Other Authors: Liu, Hsiao Lan
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/50860946625289214318

碩士 === 國立政治大學 === 地政研究所 === 99 === Urban development creates economic values and results in environmental impact at the same time. Based on the concept of sustainable development, several methods, such as sustainable indicator frameworks, ecological footprints, urban metabolism, were reported to assess urban sustainability. However, these methods seldom focus on the relation between environment and economy. Therefore, World Business Council proposed Eco-efficiency. This research tried to apply Eco-efficiency to analyze which cities/counties are relatively eco-efficient and find causes bringing about discrepancies among twenty-two cities/counties in Taiwan. In the first stage, this research applies Data Envelopment Analysis(DEA) to figure out Eco-efficiency scores and applies Tobit regression method to analyze in the second stage. The results show that efficiency scores of northern cities/counties are higher than other areas and the ones of southern cities/counties are lower above four areas. Further discussion of analyzing from individual county/city perspectives, the efficiency scores of Taipei city, Hsinchu county, Hsinchu city, Taichung city, Chiayi city and Taitung county are relatively better in 1996, 2001 and 2006. Within comparatively inefficient cities/counties, oil consumption and electricity need to reduce. Water consumption and industry employees are superior factors in twenty-two cities/counties. Furthermore, the intensity of urban development and polluting industry ratio of second and third industries have significant positive effects on the eco-efficiency scores. Disposable income per person per year has significant positive effect on the eco-efficiency scores. Thus, this research suggests that government should improve the regulation on industry pollution. In addition, for those counties/cities with high intensity urban development need to ameliorate energy efficiency and reduce environmental impact. Key words：Eco-efficiency、Data Envelopment Analysis、Tobit regression