The symbiosis of scientific and technological innovation efficiency and economic efficiency in China - an analysis based on data envelopment analysis and logistic model

被引:74
作者
Wang, Song [1 ,2 ]
Zhang, Jianqing [1 ,3 ]
Fan, Fei [1 ,2 ]
Lu, Fei [1 ]
Yang, Lisheng [4 ]
机构
[1] Wuhan Univ, Inst Dev Cent China, 299 Bayi Rd, Wuhan 430072, Hubei, Peoples R China
[2] Univ Queensland, Sch Earth & Environm Sci, Brisbane, Qld, Australia
[3] Wuhan Univ, Sch Econ & Management, Wuhan, Hubei, Peoples R China
[4] Yunnan Minzu Univ, Sch Management, Kunming, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Innovation efficiency; economic efficiency; symbiotic model; China; SYSTEMS; GROWTH; OECD;
D O I
10.1080/09537325.2018.1485889
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this study, data envelopment analysis (DEA) is used to estimate the scientific and technological innovation efficiency and economic efficiency of China's provinces and cities from 2000 to 2016. Based on these two efficiency measures, a logistic model is used to calculate their symbiosis. The results show that, while the high scientific and technological innovation efficiency are concentrated in the eastern coastal areas, the high economic efficiency spread from the eastern coastal zones to the inland regions. Further, these efficiencies have gradually shifted from independent development to symbiotic development between 2000 and 2007. From 2008 to 2011, the symbiotic point largely spread, emphasising the difference between regions. After 2012, the symbiotic point gathered around 0 again, indicating that external influences greatly influenced the symbiotic patterns in all regions. Finally, we introduce relevant policy recommendations based on the symbiotic condition.
引用
收藏
页码:67 / 80
页数:14
相关论文
共 32 条
[1]  
[Anonymous], SUSTAINABILITY, DOI DOI 10.3390/P0LYM8120417
[2]  
[Anonymous], 2015, China Soft Sci, DOI DOI 10.3969/J.ISSN.1002-9753.2015.01.016
[3]   JUMPING THE TECHNOLOGY S-CURVE [J].
ASTHANA, P .
IEEE SPECTRUM, 1995, 32 (06) :49-54
[4]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444
[5]  
[迟国泰 Chi Guotai], 2010, [科研管理, Science Research Management], V31, P94
[6]   Renewable energy and macroeconomic efficiency of OECD and non-OECD economies [J].
Chien, Taichen ;
Hu, Jin-Li .
ENERGY POLICY, 2007, 35 (07) :3606-3615
[7]  
Cui N., 2017, NORTHHORTIC, V22, P192, DOI [10.11937/bfyy.20171597, DOI 10.11937/BFYY.20171597]
[8]   Symbiotic state of Chinese land-marine economy [J].
Di, Qianbin ;
Dong, Shaoyu .
CHINESE GEOGRAPHICAL SCIENCE, 2017, 27 (02) :176-187
[9]  
Du H. D., 2017, OCEAN DEV MANAGEMENT, V4, P70
[10]  
Fan F., 2013, ACTA GEOGRAPHICA SIN, V68, P1131