华东师范大学学报(自然科学版) ›› 2018, Vol. 2018 ›› Issue (4): 147-158.doi: 10.3969/j.issn.1000-5641.2018.04.015

• 生态与环境科学 • 上一篇    下一篇

浙江省生态足迹时空差异及因素分解研究

李国志   

  1. 丽水学院 商学院, 浙江 丽水 323000
  • 收稿日期:2017-09-15 出版日期:2018-07-25 发布日期:2018-07-19
  • 作者简介:李国志,男,教授,研究方向为生态经济与区域经济.E-mail:lgz48325@126.com
  • 基金资助:
    国家社科基金重点项目(15AJY004)

A study on spatial-temporal differences and factor decomposition of the ecological footprint of Zhejiang Province

LI Guo-zhi   

  1. Business School, Lishui University, Lishui Zhejiang 323000, China
  • Received:2017-09-15 Online:2018-07-25 Published:2018-07-19

摘要: 利用生态足迹模型,对浙江省生态足迹和生态承载力进行测算,并利用IPAT模型对生态足迹进行因素分解.结果显示:2002—2015年间,浙江省生态足迹从7 852万ghm2增加到15 484万ghm2,生态压力较大.同时,生态效率快速提高,经济可持续发展能力提升.不同地区生态足迹和生态承载力差异较大,丽水是唯一处于生态盈余的地区,2015年生态效率为1.04万元/ghm2,是全省最高的.因素分解结果显示,经济增长模式是生态足迹的抑制因素,全省共减少生态足迹8 164万ghm2;经济发展水平和人口规模是生态足迹的刺激因素,全省增加生态足迹分别为12 987万ghm2和2 810万ghm2.

关键词: 生态足迹, 时空差异, IPAT模型, 因素分解

Abstract: Using an ecological footprint model, this paper calculated the ecological footprint and ecological carrying capacity of Zhejiang Province, and further decomposed the ecological footprint using an IPAT model. The results showed that the ecological footprint increased from 7.852×107 ghm2 to 1.5484×108 ghm2 from 2002 to 2015, and that the ecological pressure was significant. At the same time, the ecological efficiency improved rapidly, and the capacity for economic sustainable development improved. The ecological footprint and ecological carrying capacity varied greatly in different regions. Lishui City was the only region with ecological surplus; the ecological efficiency was 1.04×104 yuan/ghm2 in 2015, the highest among all the regions in Zhejiang Province. The results of factor decomposition showed that economic growth was the inhibiting factor for the ecological footprint, and it reduced the ecological footprint to 8.164×107 ghm2 across the whole province. The level of economic development and population size were driving factors, and they increased the ecological footprint by 1.2987×108 ghm2 and 2.810×107 ghm2, respectively, across the whole province.

Key words: ecological footprint, spatial-temporal difference, IPAT model, factor decomposition

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