Abstract: The gradual substitution of sectors with higher Total Factor Energy Efficiency (TFEE) for those with lower one is a manifestation of the shift from the old growth driving force to the new one in the manufacturing, and is also the core of promoting highquality economic development. Taking nondesirable output into consideration, this paper constructs the Slack Based Measure (SBM) to study the TFEE of various sectors from 2009 to 2016, and then calculates the Global MalmquistLuenberger (GML) index and its decomposition. The following conclusions are drawn: (1) Sectors with higher TFEE are new manufacturing, which is the new growth driving force to substitute traditional manufacturing. (2)The calculation based on the GML index shows that the technological progress and technological efficiency of most sectors are rising, while the scalerelated technological scale and scale efficiency are decreasing. (3) The combination of the SBM model and the GML index shows that the TFEE and its cumulative change have a high consistency, and the sectors above the line are mainly the new manufacturing, which have the larger cumulative change value of TFEE and have the potential to increase their TFEE over time. This further verifies that some of the old growth driving forces have been replaced by new ones in China's manufacturing. More replacements will occur in the near future.

Key words: SBM model, GML index, TFEE, transformation and upgrade of manufacturing

摘要： 全要素能源效率较高的行业逐步替代全要素能源效率较低的行业是制造业新旧动能转换的表现形式，也是促进经济高质量发展的核心。将非期望产出纳入考虑，本文构建SBM模型研究2009—2016年制造业各行业的全要素能源效率，基于GML指数计算及各项分解值的变动可以看出：（1）考虑了环境非期望产出的全要素能源效率较高的行业是新型制造业，这些新型制造业具备了带动和替代其他传统制造业的新动能；（2）基于GML指数的计算表明，大多数行业的技术进步和技术效率在上升，而与规模有关的技术规模和规模效率在下降；（3）将SBM模型与GML指数结合分析，发现全要素能源效率及其累计变动具有较高的一致性，处在线性趋势线上方的行业主要是新型制造业，其全要素能源效率的累计变动值更大，其有潜力在数年之后进一步提高全要素能源效率。这进一步验证了我国制造业已经实现了部分的新旧动能转换，且后续会有更多的转换发生。

关键词: SBM模型, GML指数, 全要素能源效率, 制造业转型升级