[1]柳 键,涂 建,程会兵.基于3阶段DEA的中国区域低碳经济发展绩效评价研究[J].江西师范大学学报(自然科学版),2019,(05):518-525.[doi:10.16357/j.cnki.issn1000-5862.2019.05.14]
 LIU Jian,TU Jian,CHENG Huibing.The Evaluation of Development Performance of Chinese Regional Low-Carbon Economy Based on Three-Stage DEA Model[J].Journal of Jiangxi Normal University:Natural Science Edition,2019,(05):518-525.[doi:10.16357/j.cnki.issn1000-5862.2019.05.14]
点击复制

基于3阶段DEA的中国区域低碳经济发展绩效评价研究()
分享到:

《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2019年05期
页码:
518-525
栏目:
出版日期:
2019-10-10

文章信息/Info

Title:
The Evaluation of Development Performance of Chinese Regional Low-Carbon Economy Based on Three-Stage DEA Model
文章编号:
1000-5862(2019)05-0518-08
作者:
柳 键1涂 建12程会兵3
1.江西财经大学信息管理学院,江西 南昌 330013; 2.江西服装学院商学院,江西 南昌 330201; 3.暨南大学管理学院,广东 广州 510632
Author(s):
LIU Jian1TU Jian12CHENG Huibing3
1.School of Information Management,Jiangxi University o f Finance and Economics,Nanchang Jiangxi 330013,China; 2.Business School,Jiangxi Institute of Fashion Technology,Nanchang Jiangxi 330201,China; 3.School of Management,Jinan University,Guangzhou Guangdong 510632,China
关键词:
低碳经济发展绩效 3阶段DEA模型 评价
Keywords:
low-carbon economic development performance three-phase DEA model evaluation
分类号:
F 061.5
DOI:
10.16357/j.cnki.issn1000-5862.2019.05.14
文献标志码:
A
摘要:
从经济效率角度,该文将二氧化碳排放作为非期望产出,利用线性数据转换函数法转换为越大越好的期望产出,运用3阶段DEA方法评价中国省市区域的低碳经济发展绩效,结果表明:在剔除环境和随机因素后,各省市低碳经济发展平均技术效率和纯技术效率被低估,而平均规模效率被高估; 低碳经济发展整体水平不高,但2010—2014年低碳经济发展绩效呈上升趋势.研究发现:区域差异明显,呈现出“东>西>中”的格局,与传统的经济格局存在一定出入.
Abstract:
From the perspective of economic efficiency,CO2 emissions are regarded as undesired outputs,linear data transfer function methods are used to convert into bigger and better expected outputs,and three-phase DEA method is used to evaluate the performance of low-carbon economic development in provinces and cities in China.The results show that after eliminating environmental and random factors,the average technical efficiency and pure technical efficiency of low-carbon economic development in provinces and cities are underestimated,while the average-scale efficiency is overestimated.The overall level of low-carbon economic development is not high,but the develoment persormance of low-carbon economy in 2010-2014 is on the rise.The study finds that the regional differences are obvious.Eastern China is the highest and central China is the lowest,which is different slightly from the traditional economic situation.

参考文献/References:

[1] Fujino T,Ehara Y,Mastuoka T,et al.Back-casting analysis for 70% emission reduction in Japan by 2050[J].Climate Policy,2008,8(sup1):108-124.
[2] Lutsey N,Sperling D.America’s bottom-up climate change mitigation policy[J].Energy Policy,2008,36(2):673-685.
[3] Shimada K,Tanaka Y,Gomi K,et al.Developing a long-term local society design methodology towards a low-carbon economy:an application to Shiga Prefecture in Japan[J].Energy Policy,2007,35(9):4688-4703.
[4] 贾林娟.低碳经济发展影响因素及路径设计[J].科技进步与对策,2014(3):26-29.
[5] Guo Jianhua.The efficiency evaluation of low carbon economic performance based on dynamic TOPSIS method[J].Journal of Interdisciplinary Mathematics,2017,20(1):231-241.
[6] Zhou Peng,Ang Bengwah,Han J Y.Total factor carbon emission performance:a Malmquist index analysis[J].Energy Economics,2010,32(1):194-201.
[7] 周泽炯,胡建辉.基于Super-SBM模型的低碳经济发展绩效评价研究[J].资源科学,2013,35(12):2457-2466.
[8] 谢志祥,秦耀辰,沈威,等.中国低碳经济发展绩效评价及影响因素[J].经济地理,2017,37(3):1-9.
[9] 吴战勇.基于DEA的河南省发展低碳经济的效率评价[J].统计与决策,2015(5):56-58.
[10] 段永峰,罗海霞.基于DEA的资源型城市低碳经济发展的效率评价:以内蒙古地级资源型城市为例[J].科技管理研究,2014,34(1):234-238.
[11] 杨颖.四川省低碳经济发展效率评价[J].中国人口·资源与环境,2012,22(6):52-56.
[12] 单豪杰.中国资本存量K的再估算:1952—2006年[J].数量经济技术经济研究,2008(10):17-31.
[13] 李健,周慧.中国碳排放强度与产业结构的关联分析[J].中国人口·资源与环境,2012,22(1):7-14.
[14] 李凯杰,曲如晓.技术进步对中国碳排放的影响:基于向量误差修正模型的实证研究[J].中国软科学,2012(6):51-58.

相似文献/References:

[1]张志坚,张 智,万谧宇,等.高质量发展视角下长江经济带沿线城市物流业效率综合评价——基于3阶段DEA模型[J].江西师范大学学报(自然科学版),2023,(04):350.[doi:10.16357/j.cnki.issn1000-5862.2023.04.04]
 ZHANG Zhijian,ZHANG Zhi,WAN Miyu,et al.The Comprehensive Evaluation on Logistics Industry Efficiency in the Cities Along the Yangtze River Economic Belt from the Perspective of High-Quality Development——Based on Three-Stage DEA Model[J].Journal of Jiangxi Normal University:Natural Science Edition,2023,(05):350.[doi:10.16357/j.cnki.issn1000-5862.2023.04.04]

备注/Memo

备注/Memo:
收稿日期:2019-03-27基金项目:国家自然科学基金(71261006)和江西省社会科学规划(15GL12)资助项目.作者简介:柳 键(1964-),男,湖南浏阳人,教授,博士,博士生导师,主要从事物流与供应链管理、博弈论等研究.E-mail:liujian3816@263.net
更新日期/Last Update: 2019-10-10