资源与产业 ›› 2010, Vol. 12 ›› Issue (5): 36-42.

• 资源战略 • 上一篇    下一篇

新疆生产建设兵团可持续发展的动态评价与预测

郭永奇张红丽*   

  1. (石河子大学 经济与管理学院,新疆 石河子 832000)
  • 收稿日期:2010-02-26 修回日期:2010-09-26 出版日期:2010-10-20 发布日期:2010-10-20
  • 通讯作者: 张红丽(1968— ),女,教授,主要从事生态经济学研究。
  • 作者简介:郭永奇(1978— ),男,博士生,主要从事生态经济学研究。E-mail:yongqiguo@163.com
  • 基金资助:

    兵团社科基金项目(09YB010);国家社科基金项目(08BJY108);国家社科基金重大招标项目(07&ZD026)。

DYNAMICAL EVALUATION AND PREDICTION OF SUSTAINABLEDEVELOPMENT OF XPCC

GUO Yong-qi, ZHANG Hong-li*   

  1. (School of Economics and Management, Shihezi University, Shihezi 832003, China)
  • Received:2010-02-26 Revised:2010-09-26 Online:2010-10-20 Published:2010-10-20

摘要:

本文运用生态足迹方法,根据新疆生产建设兵团2002—2008年统计资料,对兵团2001—2007年生态足迹进行计算,并运用灰色预测模型对兵团2008—2012年生态足迹作出预测。结果表明:2001—2007年,兵团的人均生态足迹由4.968 391 hm2/cap增长到6.126 463 hm2/cap,而可利用人均生态承载力却由2.412 742 hm2/cap下降到2004年的2.285 35 hm2/cap,2005年以后稍有回升。这种生态足迹与生态承载力呈反向发展趋势使兵团的2001—2007年生态赤字由2.555 65 hm2/cap增至3.241 912 hm2/cap,预测2012年人均生态赤字将达到3.519 77 hm2/cap。表明兵团人口对自然资源的利用逐年增加,目前已超出了自然生态系统的生态承载力范围,生态足迹与生态承载力之间的矛盾加剧,现有的发展模式是不可持续的,生态系统处于不安全状态。

关键词: 新疆兵团, 生态足迹, 生态承载力, 灰色预测, 可持续发展

Abstract:

This paper, based on the statistic data from 2002 to 2008 in XPCC, applies the ecological footprint method to analyze the sustainable development in XPCC, and to use gray prediction model to predict the 2008—2012 ecological footprint. The results show that, during 2001—2007, the ecological footprint per capital increased to 6.126 463 hm2/cap from 4.968 391 hm2/cap, but the usable ecological load per capital decreased to 2.285 35 hm2/cap in 2004 from 2.412 742 hm2/cap, a light up in 2005. This trend led to an ecological deficit increase to 3.241 912 hm2/cap in 2007 from 2.555 65 hm2/cap in 2001, which will be predicted to be up to 3.519 77 hm2/cap in 2012. The development of natural resources has exceeded the ecological load of natural ecological system, resulting in a conflict gradually. The existing development model is not sustainable and the ecological system is not safe.

Key words: XPCC, ecological footprint, ecological load, grey prediction, sustainable development

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