Accounting for Carbon Dioxide Emissions in the Measurement of Productivity: An Empirical Study of Healthcare Sector

• Main Authors: Yu-Cheng Chen, 陳育錚
• Other Authors: Jun-Yen Lee
• Online Access: http://ndltd.ncl.edu.tw/handle/x2j9jt

碩士 === 國立嘉義大學 === 生物事業管理學系研究所 === 102 === Under the pressures of global warming and climate change, business decision makers need to consider CO2 emissions as an important factor in production efficiency measurements to stay competitive. In this paper, a non-parametric method—the data envelopment analysis (DEA) model—is introduced to measure relative efficiency and productivity for healthcare companies. The Metafrontier Malmquist-Luenberger (MML) Productivity Index proposed by Oh (2010) and three strategies (termed “No Good Output Growth”, “Max Good Output Growth”, and “Good Output Only”) introduced by Arcelus and Arocena (2005) are both measured with respect to the undesirable (bad) output. The results show that most healthcare companies should adopt “Max Good Output Growth”, and “Health Care Equipment &; Services” companies may pinch their inputs and do better the tradeoffs between net sales and total emissions.