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干旱区地理 ›› 2020, Vol. 43 ›› Issue (3): 777-785.doi: 10.12118/j.issn.1000-6060.2020.03.24

• 区域发展 • 上一篇    下一篇

基于非期望产出的新疆区域生态经济投入效益分析

高志刚,童思聪     

  1. 新疆财经大学经济学院,新疆 乌鲁木齐 830012
  • 收稿日期:2019-06-24 修回日期:2019-11-25 出版日期:2020-05-25 发布日期:2020-05-25
  • 作者简介:高志刚(1972-),男,河南濮阳人,教授,博士生导师,研究方向为区域经济与可持续发展.E-mail:gaozhg1206@163.com
  • 基金资助:
    国家自然科学基金项目(41761033);新疆维吾尔自治区研究生科研创新项目(XJ2019G257);新疆财经大学研究生科研基金项目(XJUFE2018K022)资助

Regional eco-economic input efficiency of Xinjiang based on undesirable output

GAO Zhi-gang,TONG Si-cong   

  1. School of Economics,Xinjiang University of Finance and EconomicsUrumqi 830012,XinjiangChina
  • Received:2019-06-24 Revised:2019-11-25 Online:2020-05-25 Published:2020-05-25

摘要:

在加强生态文明建设的背景下,对新疆区域的生态经济投入效益进行分析有助于协调区域经济发展与生态环境的关系。为了解新疆区域生态经济投入效益的变化趋势,采用考虑非期望产出的超效率SBM模型和GML指数模型分别对20012017年新疆14个地州市的生态经济投入效益进行了静态分析和动态分析。结果表明:(1)新疆区域的生态经济投入效益水平较低,且各地州市的生态经济投入效益存在明显的差距,但各地州市的效益值都在呈现上升的趋势。(2)各地州市的生态经济投入效益存在明显差异的原因是资源要素的投入松弛,包括建成区面积、能源消费量以及用水总量的投入松弛。(3)新疆各地区的生态经济投入效益全部得到了改善,平均每年上升9.1%,且其提高的主要影响因素是技术进步。此外,宏观政策调控、经济发展水平以及产业结构也会对当地的生态经济投入效益产生影响。据此,提出以下建议:(1)分类指导,促进区域优势互补,加快绿色发展。(2)合理配置资源要素,提高资源利用效率。(3)加大技术研发投入,提高技术水平和管理水平。

关键词: 生态经济投入效益, 非期望产出, 超效率SBM模型, GML指数, 新疆

Abstract:

Owning to the rapid development of industrialization and the advancement of urban construction in Xinjiang,China,fragile ecological environments have faced more severe situations.In order to promote ecological progress,it is helpful to coordinate the relationship between regional economic development and the ecological environment through analyzing the eco-economic input efficiency in Xinjiang.To understand the changing trend of Xinjiang’s regional eco-economic input efficiency,this paper considers the built-up area and total water and energy consumption as input indicators,while using the GDP of each region as the expected output index.Based on industrial wastewater discharge,smoke (dust) emissions,and sulfur dioxide emissions,a comprehensive pollution calculation index based on the entropy method is used as the undesirable output index.Firstly,an efficient SBM model considering the undesired output was used to measure the eco-economic input efficiencies of 14 regions in Xinjiang from 2001 to 2017.On the basis of the global Malmquist-Luenberger index,variations in dynamic eco-economic input efficiencies were analyzed from the aspects of technological progress and technological efficiency.Then,the reasons for the disparity in eco-economic input efficiencies in different regions were analyzed taking into consideration macro-policy regulation,economic development level,and industrial structure.According to the results of this study,some pertinent suggestions are put forward in order to provide data support and policy guidance toward promoting eco-economic input efficiency and the coordinated development of regional economy and the ecological environment,as well as the improvement of the eco-economic input efficiency throughout the regionOur results allow the following conclusions to be made:(1) the eco-economic input efficiency in the Xinjiang region is low,and there is a clear gap between the eco-economic input efficiency of each area,within,however,the efficiency value of each area shows an upward trend.(2) Obvious differences in eco-economic input efficiency between regions results from the input redundancy of resource elements,including the built-up area,energy consumption,and total water consumption.(3) The eco-economic input efficiencies of all regions in Xinjiang have been improved,with an average annual increase of 9.1%;the principal factor influencing this improvement is technological progress.Additionally,macroeconomic policy regulation,economic development levels,and industrial structure also have pacts on local eco-economic input efficiency.Based on these results,the following suggestions are proposed:(1) to promote complementary regional advantages and accelerate green development after classifying by different regional conditions;(2) to reasonably allocate resource elements in order improve the efficiency of resource utilization;and (3) to increase investment in technology research and development and improve technical and management levels

Key words: eco-economic input efficiency, undesirable output, superefficient SBM model, GML index, Xinjiang