Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

被引：103
作者：
Lin, Shoufu [1 ,2 ]
Sun, Ji [1 ]
Marinova, Dora [3 ]
Zhao, Dingtao [2 ]
机构：
[1] FuJian Normal Univ, Sch Econ, Fuzhou, Fujian, Peoples R China
[2] Univ Sci & Technol China, Sch Management, Hefei, Anhui, Peoples R China
[3] Curtin Univ Technol, Curtin Univ Sustainabil Policy Inst, Perth, WA, Australia
来源：
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT | 2018年 / 30卷 / 10期
关键词：
DEA window analysis; absolute beta convergence; green technology innovation efficiency; manufacturing industry; DATA ENVELOPMENT ANALYSIS; POWER-PLANTS; ENERGY; SECTOR; PRODUCTIVITY; COUNTRIES; IMPACT; GROWTH; MODEL; SHIFT;
D O I：
10.1080/09537325.2018.1457784
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006-2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve - first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.
引用
收藏
页码：1166 / 1181
页数：16
相关论文
共 61 条
[31]   A fuzzy set theory approach to national composite S&T indices [J].
Moon, HS ;
Lee, JD .
SCIENTOMETRICS, 2005, 64 (01) :67-83
[32]   Energy use efficiency in the Indian manufacturing sector: An interstate analysis [J].
Mukherjee, Kankana .
ENERGY POLICY, 2008, 36 (02) :662-672
[33]  
NBSC, 2016, CHIN STAT YB 2016
[34]  
Qian L., 2015, Econ. Theory Bus. Manag., V1, P26
[35]   Efficiency of the Czech banking sector employing the DEA window analysis approach [J].
Repkova, Iveta .
17TH INTERNATIONAL CONFERENCE ENTERPRISE AND COMPETITIVE ENVIRONMENT 2014, 2014, 12 :587-596
[36]   Efficiency and evaluation analysis of a network of technology transfer brokers [J].
Roxas, Salvatore Amico ;
Piroli, Giuseppe ;
Sorrentino, Mario .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2011, 23 (01) :7-24
[37]   The classical approach to convergence analysis [J].
SalaiMartin, XX .
ECONOMIC JOURNAL, 1996, 106 (437) :1019-1036
[38]   Assessing and forecasting technology dynamics in smartphones: a TFDEA approach [J].
Srivastava, Shagun ;
Misra, Madhvendra .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2016, 28 (07) :783-797
[39]   A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test [J].
Sueyoshi, T ;
Aoki, S .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2001, 29 (01) :1-18
[40]   DEA window analysis for environmental assessment in a dynamic time shift: Performance assessment of US coal-fired power plants [J].
Sueyoshi, Toshiyuki ;
Goto, Mika ;
Sugiyama, Manabu .
ENERGY ECONOMICS, 2013, 40 :845-857
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