本文运用基于熵的USBM模型建立了包含能源、环境因素的曼氏指数,对我国30个省际1992-2011年的工业节能减排生产率及其分解进行测度,结果发现:传统的忽略节能减排因素的生产率测度会高估我国工业的全要素生产率;中部地区在节能减排约束下的工业生产率增长最快,且全部来自于技术进步;生产前沿面几乎都来自东部地区,它们是节能减排技术的引领者;全国省际工业效率水平与前沿面的差异性正在扩大,未考虑节能减排约束的省际工业效率测度低估了这一差异的严重性。
This paper uses USBM model based on entropy to construct Malmquist index including energy and environ- mental factors, to measure industrial energy conservation and emission reduction productivity and decomposition of China' s 30 provinces from 1992 to 2011. The results indicate that we overestimate the industrial productivity by ignoring the factors of energy conservation and emission reduction; the central area owns the fastest productivity growth, which is all due to technical efficiency; all the energy conservation and emission reduction technology innovators come from the East; the difference of provincial level industrial efficiency is expanding; ignoring the factors of energy conservation and emis- sion reduction underestimates the difference.