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Energy Efficiency Measures and Convergence in China, Taking into Account the Effects of Environmental and Random Factors

机译:考虑环境和随机因素影响的中国能效措施和融合

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This paper measures energy efficiency in China using the three-stage data envelopment analysis (DEA) model and then tests the convergence of China's energy efficiency. The study finds that environmental factors and random factors both have significant impacts on energy efficiency. After eliminating the influences of environmental and random error factors, the results present that the pure technical efficiency improves and the scale efficiency decreases, but pure technical efficiency is far lower than scale efficiency in terms of energy utilization, which indicates that low pure technical efficiency is the main factor constraining China's energy efficiency. China's energy efficiency presents obvious regional differences, and the energy efficiency in eastern regions is higher than that in midwestern regions. Based on the matching relationship between energy efficiency and input level, China can be regionally divided into four energy utilization modes: high efficiency and high input mode, high efficiency and low input mode, low efficiency and high input mode, and low efficiency and low input mode. Nationally, the difference in regional energy efficiency should maintain a relatively high level in the short term; divergence occurs in terms of pure technical efficiency and overall technical efficiency, while scale efficiency manifests a significant absolute convergence feature. Differential energy strategy should be carried out according to the features of different districts. Eastern regions should decrease the dependence on external energy, and develop advanced techniques with lower energy consumption. The improvement of energy efficiency in Midwest regions should depend on changing a traditionally highly energy-intensive industrial structure, undertaking clear industrial transfer from the east, excavating latent energy savings with the high-energy industry sector, and accelerating the transformation to an intensive pattern. Strengthening the energy corporation of China not only enhances energy efficiency in eastern regions but also improves energy efficiency in midwestern regions by spillover effect. Accordingly, it could improve energy efficiency balance and robustness.
机译:本文使用三阶段数据包络分析(DEA)模型来衡量中国的能源效率,然后测试中国的能源效率的收敛性。研究发现,环境因素和随机因素均对能源效率产生重大影响。在消除环境和随机误差因素的影响后,结果表明,纯技术效率提高了,规模​​效率降低了,但就能源利用而言,纯技术效率远低于规模效率,表明纯技术效率低。制约中国能源效率的主要因素。中国的能源效率存在明显的地区差异,东部地区的能源效率高于中西部地区。根据能源效率与投入水平之间的匹配关系,中国可以在区域上分为四种能源利用模式:高效率和高投入模式,高效率和低投入模式,低效率和高投入模式,低效率和低投入模式。在全国范围内,区域能效的差异在短期内应保持相对较高的水平;在纯技术效率和总体技术效率方面存在差异,而规模效率则表现出明显的绝对收敛特征。应根据不同地区的特点实施差异化能源战略。东部地区应减少对外部能源的依赖,并开发能耗更低的先进技术。中西部地区能源效率的提高应取决于改变传统上高度耗能的产业结构,从东部进行清晰的产业转移,利用高能工业部门挖掘潜在的节能潜力,以及加速向集约型转型。加强中国的能源公司,不仅可以提高东部地区的能源效率,而且可以通过溢出效应提高中西部地区的能源效率。因此,它可以改善能量效率的平衡和鲁棒性。

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