CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index

摘要: Climate change has become one of the most challenging issues facing world. Chinese government realized importance energy conservation and prevention climate changes for sustainable development China's economy set targets CO2 emissions reduction in China. In China industry contributes 84.2% total emissions, especially manufacturing industries. Data envelopment analysis (DEA) Malmquist productivity (MP) index are widely used mathematical techniques to address relative efficiency a group homogenous decision making units, e.g. industries or countries. However, many real applications, those related efficiency, there often undesirable outputs, pollutions, waste which produced inevitably with desirable outputs production. This paper introduces novel Malmquist-Luenberger (MLP) based on directional distance function (DDF) issue evolution DMUs presence outputs. The new RAM (Range-adjusted measure)-based global MLP been applied evaluate light Recommendations policy makers have discussed.