標題: Environment-adjusted total-factor energy efficiency of Taiwan's service sectors
作者: Fang, Chin-Yi
Hu, Jin-Li
Lou, Tze-Kai
經營管理研究所
Institute of Business and Management
關鍵字: Data envelopment analysis;Environment-adjusted total-factor energy efficiency (EATFEE);Panel random-effects Tobit regression
公開日期: 1-Dec-2013
摘要: This study computes the pure technical efficiency (PTE) and energy-saving target of Taiwan's service sectors during 2001-2008 by using the input-oriented data envelopment analysis (DEA) approach with the assumption of a variable returns-to-scale (VRS) situation. This paper further investigates the effects of industry characteristics on the energy-saving target by applying the four-stage DEA proposed by Fried et al. (1999). We also calculate the pre-adjusted and environment-adjusted total-factor energy efficiency (TFEE) scores in these service sectors. There are three inputs (labor, capital stock, and energy consumption) and a single output (real GDP) in the DEA model. The most energy efficient service sector is finance, insurance and real estate, which has an average TFEE of 0.994 and an environment-adjusted TFEE (EATFEE) of 0.807. The study utilizes the panel-data, random-effects Tobit regression model with the energy-saving target (EST) as the dependent variable. Those service industries with a larger GDP output have greater excess use of energy. The capital-labor ratio has a significantly positive effect while the time trend variable has a significantly negative impact on the EST, suggesting that future new capital investment should also be accompanied with energy-saving technology in the service sectors. (C) 2013 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.enpol.2013.07.124
http://hdl.handle.net/11536/23649
ISSN: 0301-4215
DOI: 10.1016/j.enpol.2013.07.124
期刊: ENERGY POLICY
Volume: 63
Issue: 
起始頁: 1160
結束頁: 1168
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