冰川冻土 ›› 2017, Vol. 39 ›› Issue (1): 200-206.doi: 10.7522/j.issn.1000-0240.2017.0023

• 生态经济与可持续发展 • 上一篇    下一篇


虞文宝1,2, 宋晓谕1, 简富缋3   

  1. 1. 中国科学院 西北生态环境资源研究院 内陆河流域生态水文重点实验室, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100049;
    3. 甘肃省经济研究院, 甘肃 兰州 730000
  • 收稿日期:2016-09-01 修回日期:2016-12-16 出版日期:2017-02-25 发布日期:2017-06-03
  • 通讯作者: 宋晓谕,
  • 作者简介:虞文宝(1983-),男,汉族,河北省迁安人,中级经济师,中国科学院西北生态环境资源研究院在读博士研究生,从事生态经济、区域经济方面的研究
  • 基金资助:

Impact of human factors on environment in a Silk Road economic belt node city

YU Wenbao1,2, SONG Xiaoyu1, JIAN Fuhui3   

  1. 1. Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Economic Research Institute of Gansu Province, Lanzhou 730000 China
  • Received:2016-09-01 Revised:2016-12-16 Online:2017-02-25 Published:2017-06-03

摘要: “一带一路”上升为国家战略,推进丝绸之路经济带建设使中国西北地区由过去发展的腹地转变为开放的前沿。通过引入STIRPAT模型,研究分析了丝绸之路经济带节点城市人文驱动因素对环境的影响,设定了三种情景分析节点城市未来低碳发展情况。结果表明:人文驱动因素对碳排放的影响程度较大,模型拟合优度达到95.2%,能源消耗强度(T)、富裕程度(A)和人口数量(P)的弹性系数分别为0.511、0.285和0.222,基准情景下二氧化碳排放总量呈现稳步上升态势,政策情景和低碳情景下碳排放存在“拐点”,预计碳排放峰值将在2025-2033年间出现,低碳情景峰值比政策情景提前8 a到达,峰值总量减少40.79×104 t。最后针对分析结果就丝绸之路经济带节点城市人文驱动因素对环境的影响提出了相关建议,即控制人口数量、优化产业结构、强化污染治理。

关键词: 丝绸之路经济带, 节点城市, 人文因素, 环境影响, STIRPAT模型

Abstract: To construct “OBOR” has been upgraded to a national strategy, Northwest China will become the frontline of reform and opening. With the introduction of STIRPAT model, analyzing the impact of human factors on the environment and predicting the future carbon emissions in a Silk Road economic belt node city show that the human factors are the significant driving forces for carbon emissions, with a goodness of 95.2%; the elastic coefficients of energy consumption intensity, affluence and population are 0.511, 0.285 and 0.222, respectively. The carbon emission rises steadily in the business as usual scenario, however, in the policy scenario and low carbon scenario there is a inflection point with a peak in 2025-2033. The peak of low carbon scenario arrived eight years earlier than that of policy scenario, reducing the peak amount of 407 900 tons. Finally, suggestions are made for policy makers based on the analysis results, that is to control the population size, to optimize the industrial structure and to strengthen pollution control.

Key words: Silk Road economic belt, node city, human factors, environmental influence, STIRPAT Model


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