Research Article

Efficiency Evaluation of Green Technology Innovation of China’s Industrial Enterprises Based on SBM Model and EBM Model

Table 6

Comparative analysis of evaluation results (SBM model/EBM model).

DMU (province)The first stage efficiencyThe second stage efficiencyTotal efficiency

Eastern regionHainan0.927/15.550/12.268/1
Guangdong2.612/0.9220.692/1.7911.345/1.285
Beijing1.649/0.8810.808/1.3231.154/1.080
Zhejiang0.687/0.9941.321/1.1270.953/1.059
Jiangsu0.848/0.8371.066/1.0850.950/0.953
Shanghai0.725/0.8261/10.852/0.909
Tianjin0.610/0.6771/10.781/0.823
Fujian0.437/0.5460.978/0.9600.654/0.724
Shandong0.419/0.4911/10.647/0.700
Hebei0.335/0.3550.955/0.9610.565/0.584
Liaoning0.414/0.4630.742/0.8180.554/0.616
Geometric mean0.718/0.6891.106/1.0740.891/0.860

Central regionJilin0.343/0.4201.148/1.0270.628/0.657
Henan0.378/0.4071.038/0.9990.626/0.638
Hubei0.471/0.4720.790/0.8920.610/0.649
Hunan0.657/0.5250.553/0.8190.603/0.656
Anhui0.852/0.4630.380/0.7250.569/0.579
Jiangxi0.328/0.3660.788/0.8460.509/0.557
Heilongjiang0.338/0.3460.746/0.8430.502/0.540
Shanxi0.327/0.2390.475/0.6390.394/0.391
Geometric mean0.433/0.3950.696/0.8400.549/0.576

Western regionQinghai0.414/1.1552.118/1.4980.937/1.316
Xinjiang0.623/0.7110.963/0.9990.774/0.843
Chongqing0.599/0.7420.773/0.7360.680/0.739
Sichuan0.720/0.5690.553/0.8070.631/0.678
Ningxia0.539/0.6030.673/0.6820.602/0.641
Shaanxi0.459/0.3770.687/0.8930.562/0.580
Yunnan0.629/0.4180.471/0.7380.544/0.555
Guangxi0.472/0.5120.619/0.7420.540/0.616
Inner Mongolia0.237/0.2571.201/10.534/0.507
Guizhou0.792/0.3400.278/0.6310.470/0.463
Gansu0.405/0.3130.465/0.6970.434/0.467
Geometric mean0.511/0.4970.695/0.8310.596/0.643