基于超效率DEA的呼伦贝尔地区草牧业生态效率评价及影响因素分析
作者:
作者单位:

北京林业大学经济管理学院 北京,中国科学院地理科学与资源研究所 北京;中国科学院地理科学与资源研究所 北京,中国科学院植物研究所 北京,北京林业大学经济管理学院 北京,中国科学院地理科学与资源研究所 北京;中国科学院地理科学与资源研究所 北京

作者简介:

通讯作者:

中图分类号:

基金项目:

中国科学院科技服务网络计划项目(KFJ-STS-ZDTP-004);北京社会科学基金重大项目(17ZDA17)


Evaluation of ecological efficiency and factors influencing grassland animal husbandry in the Hulunbuir region based on a super-efficiency DEA model
Author:
Affiliation:

Beijing Forestry University,School of Economic and Management,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Institute of Botany Chinese Academy of Sciences,Beijing Forestry University,School of Economic and Management,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    选取内蒙古呼伦贝尔市作为研究区域,采用超效率DEA模型及Malmquist 指数考查该地区草牧业生态效率的时空变化并对影响因素进行分析。结果表明:呼伦贝尔各旗县生态效率在2001年均处于较低水平;2001-2015年间,整体呈上升趋势,但并无某一旗县具备明显优势,2015年,牙克石市(1.59)、海拉尔区(0.96)、莫力达瓦达斡尔族自治旗(0.90)生态效率较高,陈巴尔虎旗(0.57)、新巴尔虎右旗(0.67)生态效率较低,莫力达瓦达斡尔族自治旗上升幅度较大,由0.09上升至0.90;Malmquist指数及其分解结果显示,技术进步是提高生态效率的主要驱动因素,也是目前制约当地草牧业发展的重要原因;Tobit模型结果显示,气候变化、要素投入以及政策实施均会对当地生态效率产生较大影响。因此,一方面要加强科技投入,提升产业科技化水平,另一方面,要加大草原地区生态保护力度,划定生态保护红线,完善草原补偿制度,同时兼顾草地生产功能,实现草原地区可持续发展。

    Abstract:

    The Hulunbuir region of Inner Mongolia, China, was chosen as the study area of the current study. The super-efficiency DEA (Data Development Analysis) model and Malmquist index were combined to examine the spatial and temporal changes in ecological efficiency in the counties in the Hulunbuir region. Ecological efficiency in the Hulunbuir region was low in 2000 and increased in 2000——2015 in each county, with no obvious advantage in any particular county. Among the counties, ecological efficiency was relatively high in Yakeshi (1.59), Hailar (0.96), and Morin Dawa (0.90) and relatively low in Chenbarhu (0.57) and Xin Barag Right Banner (0.67), and there was a substantial increase in Morin Dawa from 0.09 in 2001 to 0.90 in 2015. Based on the Malmquist index, technology was the main driving factor for the improvement in ecological efficiency and also the main factor that restricts the development of grassland and animal husbandry. Additionally, policy factors, climate change, and production input factors had a substantial influence on ecological efficiency. Therefore, increasing investment in science and technology and large-scale operations are deemed to be of great importance for improving ecological efficiency. It is necessary to intensify the protection of grassland areas, draw red for ecological protection, and improve the system of compensation to promote the sustainable development of these prairies.

    参考文献
    相似文献
    引证文献
引用本文

赵哲,白羽萍,胡兆民,陈建成,邓祥征.基于超效率DEA的呼伦贝尔地区草牧业生态效率评价及影响因素分析.生态学报,2018,38(22):7968~7978

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: