Welcome to Journal of University of Chinese Academy of Sciences,Today is

Dynamic calculation and driving force analysis of energy footprint in Yangtze River Delta region from 1990 to 2012

  • CHEN Xiaofei ,
  • ZHANG Luocheng ,
  • YAN Renhua
Expand
  • 1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2014-07-15

  Revised date: 2015-01-19

  Online published: 2015-09-15

Abstract

Energy ecological footprint method is a new and important approach for evaluating regional sustainable development. We use energy ecological footprint model, GM(1,1)model, index prediction model, and STIRPAT model to analyze energy footprint in Yangtze River Delta region from 1990 to 2012. The results are given below. 1) The annual growth rate of EEF had reached 7.70% in the past 23 years, and the national energy footprint per capita was less than those of Yangtze River Delta region and the three provinces. As the change rates, the fastest-growing segment was the provincial zone, and the nation was low. 2) VEF appeared the growth trend while EFI showed the decreased trend, and the annual rates were 8.42% and 8.37%, respectively. Yangtze River Delta region and the three provinces were mainly implemented by industrial transformation and upgrade, the nation mainly relied on policy development and technical innovation. 3)EEF and VEF would continue to grow in Yangtze River Delta region but EEI would decline, which shows the harmonious trends. 4) Population, GDP per capita, industrial structure, and technology had great impacts on EEF, and the corresponding coefficients were 0.596,0.073,0.18, and -0.123, respectively.

Cite this article

CHEN Xiaofei , ZHANG Luocheng , YAN Renhua . Dynamic calculation and driving force analysis of energy footprint in Yangtze River Delta region from 1990 to 2012[J]. Journal of University of Chinese Academy of Sciences, 2015 , 32(5) : 620 -626 . DOI: 10.7523/j.issn.2095-6134.2015.05.007

References

[1] 李琦,韩亚芬,陈建永.中国能源生态足迹的时空动态特征及效应分析[J].资源开发与市场,2010,26(8):693-696.

[2] 方恺,董德明,沈万斌.生态足迹理论在能源消费评价中的缺陷与改进探讨[J].自然资源学报,2010,25(6):1013-1021.

[3] Wackernagel M, Monfreda C, Schulz N B, et al. Calculating national and global ecological footprint time series:resolving conceptual challenges[J]. Land Use Policy,2004, 21(3):271-278.

[4] Sandenson E W, Jaiteh M, Levy M A, et al. The human footprint and the last wild[J].Bioscience, 2002, 52(10):891-904.

[5] Wackernagel M, Monfreda C, Schulz C B, et al. Calculating national and global ecological footprint times series:resolving conceptual challenges[J].Land Use Policy, 2004, 21(3):271-278.

[6] 章鸣,叶艳妹.杭州市生态足迹计算与分析[J].中国土地科学,2004,18(4):25-30.

[7] 陈敏,张丽君,王如松,等.1978-2003年中国生态足迹动态分析[J].资源科学,2005,27(6):132-139.

[8] 胡小飞,代力民,陈伏生,等.基于生态足迹模型的延边林区可持续发展评价[J].生态学杂志,2006,25(2):129-134.

[9] 曹淑艳,谢高地.基于投入产出分析的中国生态足迹模型[J].生态学报,2007,27(4):1499-1507.

[10] 赵卫,刘景双,孔凡娥.区域生态足迹情景预测:以吉林省为例[J].资源科学,2007,29(1):165-171.

[11] 朱永杰,岳瑞锋.中国森林提供化石能源用地的定量研究[J].林业科学,2008,44(9):20-25.

[12] 龙爱华,徐中民,王新华,等.人口富裕及技术对2000年中国水足迹的影响[J].生态学报,2006,26(10):3358-3365.

[13] 李智,鞠美庭,刘伟,等.中国1996-2005年能源生态足迹与效率动态测度与分析[J].资源科学,2007,29(6):54-60.

[14] 陈成忠,林振山.中国能源足迹增长波动的驱动因子分析[J].生态学报,2009,29(2):758-767.

[15] 赵冠伟,杨木壮,陈健飞.1990-2007年中国能源足迹时空差异分析[J].地理与地理信息科学,2011,27(2):65-69.

[16] 杨足膺,赵媛,付伍明.基于弹性系数的江苏省能源生态足迹影响因素分析[J].生态学报,2010,30(24):6741-6748.

[17] 郭运功,汪冬冬,林逢春.上海市能源利用碳排放足迹研究[J].中国人口资源与环境,2010,20(2):105-108.

[18] 刘建兴,许肃.福建省1990-2008年能源足迹强度及生态压力分析[J].中国矿业,2010,19(10):121-124.

[19] 方恺,沈万斌,董德明.能源足迹核算的改进与预测:以吉林省为例[J].地理研究,2011,30(10):1835-1846.

[20] 张乐勤,司友斌,荣慧芳,等.池州市2000-2010年能源足迹动态测度与驱动因子分析[J].环境科学学报,2012,32(5):1270-1280.

[21] 张乐勤,李荣富,荣慧芳,等.安徽省近10年能源足迹测度及驱动因子分析[J].环境科学研究,2012,25(4):474-480.

[22] York R, Rosa E, Dietz T. STIRPAT, IPAT, and ImPACT:analytic tools for unpacking the driving forces of environmental impacts[J]. Ecological Economics, 2003,46(3):351-365.

Outlines

/