G2TT
来源类型Working Papers
规范类型论文
来源IDWP-2006-006
Energy Prices and Energy Intensity in China: A Structural Decomposition Analysis and Econometrics Study
Xiaoyu Shi and Karen R. Polenske
发表日期2006-05
出版年2006
语种英语
摘要

Xiaoyu Shi and Karen R. Polenske, May 2005

Since the start of its economic reforms in 1978, China\'s energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has declined dramatically, by about 70%, in spite of increases in energy consumption. Is this just a coincidence? Or does a systematic relationship exist between energy prices and energy intensity?

In this study, we examine whether and how China�s energy price changes affect its energy intensity trend during 1980-2002 at a macro level. We conduct the research by using two complementary economic models: the input-output-based structural decomposition analysis (SDA) and econometric regression models and by using a decomposition method of own-price elasticity of energy intensity. Findings include a negative own-price elasticity of energy intensity, a price-inducement effect on energyefficiency improvement, and a greater sensitivity (in terms of the reaction of energy intensity towards changes in energy prices) of the industry sector, compared to the overall economy.

Analysts can use these results as a starting point for China\'s energy and carbon emission forecasts, which they traditionally conduct in China without accounting for energy-intensity changes. In addition, policy implications may initiate new thinking about energy policies that are needed to conserve China\'s energy resources and reduce carbon emissions.

URLhttp://ceepr.mit.edu/publications/working-papers/123
来源智库Center for Energy and Environmental Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/172643
推荐引用方式
GB/T 7714
Xiaoyu Shi and Karen R. Polenske. Energy Prices and Energy Intensity in China: A Structural Decomposition Analysis and Econometrics Study. 2006.
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