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The evaluation of energy-environmental efficiency of China's industrial sector: based on Super-SBM model

机译:中国工业部门能源环境效率评价:基于Super-SBM模型

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With the process of urbanization and industrialization, a growing attention has been paid to the energy-environmental efficiency in China's industrial sector. Such researches mainly focused on calculating the efficiency and exploring its driving factors at sectoral, provincial and regional perspectives. In this paper, we proposed to evaluate the energy-environmental efficiency of China' industrial sector and its driving factors at a dynamic change perspective. Combining super-slack-based measure (Super-SBM) model and Malmquist index, this paper calculated the energy-environmental efficiency of China's 30 provinces (municipalities and autonomous regions) from 2012 to 2016 and captured its dynamic change. Then we aggregated China's 30 provinces into three groups based on their relevant dynamic change values, namely high-growth, mid-growth and low-growth groups. Finally, we verified the impact of investment in pollution control on industrial energy-environmental efficiency in different groups. The results showed that: Beijing, Inner Mongolia, Guangdong, Hunan, Tianjin and Shaanxi performed efficiently during the whole study period. Most provinces have improved their energy-environmental efficiency from 2012 to 2016. The decomposition results indicated that the technology change was responsible for the growth of energy-environmental efficiency. Economic development level positively and significantly influenced the energy-environmental efficiency of the industrial sector as a whole and three groups, while pollution control investment had a significantly negative effect on energy-environmental efficiency of high-growth and low-growth groups. This study concluded that all the provinces should pay attention to technology progress and sustainable pollution control investment for improving the energy-environmental efficiency in the long term. Additionally, differentiated strategies to improve energy-environmental efficiency for different provinces and groups should be implemented.[GRAPHICS].
机译:随着城市化和工业化进程的发展,人们越来越关注中国工业部门的能源环境效率。这些研究主要集中在计算效率并从部门,省和地区的角度探讨其驱动因素。在本文中,我们建议从动态变化的角度评估中国工业部门的能源环境效率及其驱动因素。结合基于超松弛的测度(Super-SBM)模型和Malmquist指数,计算了2012年至2016年中国30个省(市,自治区)的能源环境效率,并捕获了其动态变化。然后,我们根据中国30个省的相关动态变化值将其分为三个组,即高增长,中增长和低增长组。最后,我们验证了污染控制投资对不同群体的工业能源-环境效率的影响。结果表明:在整个研究期间,北京,内蒙古,广东,湖南,天津和陕西的表现良好。从2012年到2016年,大多数省份的能源环境效率都有所提高。分解结果表明,技术变革是能源环境效率增长的原因。经济发展水平对整个工业部门和三类工业部门的能源环境效率产生了积极而显着的影响,而污染控制投资对高增长和低增长群体的能源环境效率具有显着的负面影响。研究得出结论,从长远来看,所有省份都应注意技术进步和可持续污染控制投资,以提高能源环境效率。此外,还应实施不同的策略,以提高不同省和地区的能源环境效率。[GRAPHICS]。

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