The impact of media reports on energy and environmental efficiency in China: evidence from modified dynamic DEA with undesirable outputs

Table 6 CO₂ emissions efficiencies

No.	DMU	2013 CO₂	2014 CO₂	2015 CO₂	2016 CO₂
1	Beijing	1.0000	1.0000	1.0000	0.9999
2	Changchun	0.9501	0.9773	0.9631	0.9771
3	Changsha	0.5871	0.7055	0.7119	0.6986
4	Chengdu	1.0000	0.9587	1.0000	1.0000
5	Chongqing	1.0000	1.0000	1.0000	1.0000
6	Fuzhou	0.9019	1.0000	0.9783	0.9747
7	Guangzhou	1.0000	1.0000	1.0000	1.0000
8	Guiyang	0.5823	0.6059	1.0000	0.9156
9	Harbin	1.0000	1.0000	0.8694	0.8386
10	Haikou	0.9311	1.0000	1.0000	1.0000
11	Hangzhou	0.6579	0.7990	0.8613	0.8663
12	Hefei	0.7952	0.9847	0.9999	1.0000
13	Huhehaote	0.8094	0.4363	0.8417	0.8027
14	Jinan	0.6888	0.4811	0.5828	1.0000
15	Kunming	0.5492	0.6093	0.8413	0.8496
16	Lanzhou	0.5676	0.5757	0.4725	0.5080
17	Lhasa	0.9078	1.0000	0.9975	0.9999
18	Nanchang	0.9044	1.0000	0.9732	0.8400
19	Nanjing	0.5543	0.6039	0.8323	0.8223
20	Nanning	1.0000	1.0000	1.0000	1.0000
21	Shanghai	1.0000	1.0000	1.0000	1.0000
22	Shenyang	0.6833	0.5926	0.7766	0.9030
23	Shijiazhuang	0.7436	0.6944	1.0000	0.6940
24	Taiyuan	0.2691	0.2497	0.2607	0.3127
25	Tianjin	0.6306	0.6370	0.6483	0.6682
26	Wuhan	0.7127	0.8393	0.8543	0.8426
27	Wulumuqi	0.8574	0.8148	0.9301	0.7824
28	Xian	1.0000	0.9482	1.0000	0.9998
29	Xining	0.4210	0.4182	0.4427	0.9704
30	Yinchuan	0.4735	0.5294	0.3949	0.3796
31	Zhengzhou	1.0000	0.9102	0.9999	0.5149

ISSN: 1478-7547