中文核心期刊
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中国科技核心期刊
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重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2021, Vol. 40 ›› Issue (12): 69-76.DOI: 10.3969/j.issn.1674-0696.2021.12.11

• 交通基础设施工程 • 上一篇    

长江经济带城市大气环境效率评价及空间差异分析

张羽1,毛焱颖2,焦柳丹1,吴雅3   

  1. (1. 重庆交通大学 经济与管理学院，重庆 400074； 2. 重庆电子工程职业学院 通信工程学院，重庆 401331； 3. 西南大学 资源环境学院，重庆 400715)
  • 收稿日期:2020-03-02 修回日期:2020-08-19 发布日期:2021-12-27
  • 作者简介:张羽(1992—)，男，重庆人，讲师，博士，主要从事城市环境治理方面的研究。E-mail：zhangyu_0112@foxmail.com 通信作者：焦柳丹(1989—)，男，重庆人，副教授，博士，主要从事城市可持续建设方面的研究。E-mail：jld06171@126.com
  • 基金资助:
    国家自然科学基金青年科学基金项目（71901043）；重庆市社会科学规划青年项目（2017QNGL52、2020QNGL25）；重庆市教育委员会科学技术研究计划项目（KJQN20190071、KJQN202000724）；重庆市教育委员会人文社会科学研究项目（21SKJD072）

Atmospheric Environment Efficiency Evaluation and Spatial Difference Analysis on the Yangtze River Economic Belt

ZHANG Yu1, MAO Yanying2, JIAO Liudan1, WU Ya3   

  1. (1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China; 2. Department of Communication Engineering, Chongqing College of Electronic Engineering, Chongqing 401331, China; 3. College of Resources and Environment, Southwest University, Chongqing 400715, China)
  • Received:2020-03-02 Revised:2020-08-19 Published:2021-12-27

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摘要： 基于长江经济带城市生态优先绿色高质量发展的背景，以长江经济带80个城市2005—2017年的面板数据为基础，考虑非期望产出的Super-SBM模型与Malmquist生产率指数相结合，构建包含SO2、烟（粉）尘、PM2.5共3类主要大气污染物的大气环境效率测度模型，并分析其空间差异性及动态演变特征。研究结果发现：长江经济带整体大气环境效率值较低，平均值为0.59，位于下游的上海、苏州、金华和无锡等城市的效率值显著优于其他城市，而淮南、广元和黄石等中上游城市的大气环境效率表现较差；从大气环境效率的空间分布来看，大气环境效率有效的城市多集中于长江下游，中上游城市的提升空间较大，特别是湘西、鄂中和成渝城市群；从大气环境效率的动态演变特征来看，在整个考察期内，大气环境效率的整体水平有7.6%的提高，92.5%的城市均有提升；根据Malmquist 生产率指数的分解结果显示，技术进步变化对大气环境效率的提高和改善占据主导作用。

关键词: 资源环境；长江经济带；大气环境效率； Super-SBM；Malmquist生产率指数

Abstract: Based on the background of urban ecological priority and green and high-quality development in the Yangtze River Economic Belt, an atmospheric environmental efficiency measurement model including three main air pollutants such as SO2, smoke (dust) and PM2.5 was constructed on the basis of the panel data of 80 cities in the Yangtze River economic belt from 2005 to 2017, by considering the combination of the Super-SBM model of unexpected output and Malmquist productivity index. And its spatial differences and dynamic evolution characteristics were analyzed. The research results show that the overall atmospheric environmental efficiency of the Yangtze River Economic Belt is low, with an average value of 0.59; the efficiency of Shanghai, Suzhou, Jinhua and Wuxi in the lower reaches is significantly better than that of other cities, while the atmospheric environmental efficiency of middle and upper reaches cities such as Huainan, Guangyuan and Huangshi is poor. From the spatial distribution of atmospheric environmental efficiency, most of the cities with effective atmospheric environmental efficiency are concentrated in the lower reaches of the Yangtze River, and there is more room for improvement in the cities in the middle and upper reaches, especially in the urban agglomeration of Western Hunan, central Hubei and Chengdu-Chongqing. From the dynamic evolution characteristics of atmospheric environmental efficiency, the overall level of atmospheric environmental efficiency has increased by 7.6% and 92.5% of cities have improved. According to the decomposition results of Malmquist productivity index, the technological progress and change plays a leading role in improving the efficiency of atmospheric environment.

Key words: resource and environment; Yangtze River Economic Belt; atmospheric environment efficiency; Super-SBM model; Malmquist productivity index

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