引用本文:毛明明1, 孙建2*.中国区域碳排放与影响因素关系的实证分析——基于省际面板数据(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2015,32(6):21-29
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
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中国区域碳排放与影响因素关系的实证分析——基于省际面板数据
毛明明1, 孙建2*1,2
1.重庆工商大学 长江上游经济研究中心,重庆 400067;2.重庆工商大学 经济学院,重庆 400067
摘要:
综合考虑经济增长和能源强度对碳排放量的影响,采取中国30个省市1997-2011年的相关数据,运用面板单位根、协整检验方法和误差修正模型,描述了东中西部地区碳排放总量、GDP总量和碳排放强度的变动趋势,验证了中国各区域间经济增长、能源强度与碳排放量存在长期协整关系,经济规模每增长1%,碳排放将增长1.42%。从短期的误差修正模型结果上看,碳排放与经济增长、能源强度之间存在动态调整机制。
关键词:  经济增长  能源强度  面板数据
DOI:
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基金项目:
An Empirical study on the Relationship between Regional Carbon Emissions and Influencing Factors in China ——Based on Provincial Panel Data
MAO Ming ming1, SUN Jian2
Abstract:
In comprehensive consideration of the impact of economic growth and energy intensity on carbon emission, based on the related data of 30 provinces during 1997-2011 in China, by using the panel unit root, co integration test methods and error correction model, this paper describes the change trend of the amount of carbon emission, total GDP, carbon emission intensity in the eastern, middle and western regions, and verifies that there is long term co integration relationship among economic growth, energy intensity and carbon emission in each region of China. 1% increase of economic scale causes 1.42% increase of carbon emissions. Judging from the results of short term error correction model, there is a dynamic adjustment mechanism among energy intensity, economic growth and carbon emissions.
Key words:  economic growth  energy intensity  panel data
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