Abstract：The wastewater emissions and industrial smoke (powder) emissions were defined as undesirable output in the output indicators. The DEA models were used to calculate the total-factor production (TFP) of 35prefecture-level cities in northeastern China from 2009 to 2014. The ratio of energy target inputs and actual inputs were measured to estimate the total-factor energy efficiency (TFEE). Moreover, the internal variables of the TFEE were obtained via the Malmquist Index Decomposition approach, and the external variables of the TFFE were analyzed based on the Tobit models. Heilongjiang had the highest TFEE, followed by Jilin and Liaoning sequentially; a large gap existed between TFEE and TFP in some prefecture-level cities; the changes of pure technical efficiency and scale efficiency had significantly positive effect on energy efficiency, while technological progress had no significant effect; as opposed to the proportions of secondary industry and tertiary industry in the industry composition, which were negatively related to energy efficiency, ownership structure in industries had a positive effect on energy efficiency in the three provinces.
马晓君, 魏晓雪, 刘超, 刘亚雪. 东北三省全要素能源效率测算及影响因素分析[J]. 中国环境科学, 2017, 37(2): 777-785.
MA Xiao-jun, WEI Xiao-xue, LIU Chao, LIU Ya-xue. The analysis of total factor energy efficiency calculation and influence factors of the three northeast provinces. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(2): 777-785.
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