能源强度降低对能耗的回弹效应

T. Wei, Jinjin Zhou, Hongxia Zhang
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引用次数: 51

摘要

能源是经济活动中必不可少的生产资源之一,提高能源效率是节能促进经济增长、减少大气污染的关键措施之一。中国、印度和欧洲等几个能源消费大国已经制定了降低能源强度(单位经济产出的实际能源使用量)的目标,这一指标被广泛接受为能效指标。从工程师的角度来看,降低1%的能源强度有望节省1%的物理能源使用。然而,能源强度的降低可能会刺激经济增长,导致更多的“意外”能源使用,即能源使用的反弹效应。为了向政策制定者、企业管理者、工程师、研究人员和其他将能源强度作为能效指标和节能措施的利益相关者传达反弹效应的后果,本文提供了一种从生产函数的一般形式开始的方法,以识别反弹效应的属性并分析反弹效应背后的关键驱动因素。与能源经济学中对反弹效应的严格定义不同,能源效率被狭义地定义为能源增强或特定于能源的技术变革,对于同时追求经济增长和能源节约目标的政策制定者来说,可测量的能源强度降低的部分反弹效应将是最优选的产出。我们还提出了40个地区的实证结果来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rebound Effect of Energy Intensity Reduction on Energy Consumption
Abstract Energy is one of essential productive resources in economic activities and its efficiency improvement is taken one of the key measures for energy conservation to promote economic growth as well as reduce air pollution. Several large energy consumption regions such as China, India, and Europe have set targets on lowering energy intensity - physical energy use per unit economic output - widely accepted as an indicator of energy efficiency. One percent reduction in energy intensity is expected to conserve one percent physical energy use from an engineer’s perspective. However, the reduction in energy intensity would probably stimulate economic growth and result in more “unexpected” energy use, namely rebound effect on energy use. To convey the rebound effect consequences to policy makers, business managers, engineers, researchers and other stakeholders who take energy intensity an indicator of energy efficiency and a measure for energy conservation, the present article offers a method starting from a general form of production function to identify properties of and analyze key drivers behind the rebound effect. Different from the strict definition of rebound effect in energy economics, where energy efficiency is narrowly defined as energy-augmented or energy-specific technological change, measurable partial rebound effect of energy intensity reduction would be the most preferred output for a policy maker who pursues targets of both economic growth and energy conservation. We have also presented empirical results for 40 regions for illustration.
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