Research Article

Synergistic Agglomeration of Manufacturing and Logistics Industries and Urban Green Economy Efficiency: Influence and Upgrading

Table 6

Regional change of green economic efficiency in the YRD region in 2010–2019.

Citieseffchtechchpechsechtfpch

Shanghai0.9411.15110.9411.083
Nanjing0.9711.0140.9970.9740.985
Wuxi0.9810.9770.9820.9990.958
Xuzhou1.0040.9831.0220.9830.987
Changzhou0.9861.0030.990.9960.989
Suzhou0.9890.9840.9930.9970.973
Nantong0.9970.9961.0160.9810.993
Lianyungang0.9730.9680.9970.9750.941
Huaian0.9790.9970.9970.9830.977
Yancheng0.9590.9770.9970.9620.937
Yangzhou1.0131.0031.0250.9891.017
Zhenjiang0.9950.981.0240.9720.975
Taizhou0.9920.991.0130.9790.981
Suqian0.980.9741.0010.9790.955
Hangzhou0.9251.09110.9251.009
Ningbo0.9431.0440.9870.9550.984
Wenzhou0.9531.08710.9531.035
Jiaxing0.9510.980.9810.9690.933
Huzhou0.9660.9760.9860.980.943
Shaoxing0.9441.0270.980.9630.97
Jinhua0.9380.9670.9670.970.907
Quzhou0.9960.9721.0010.9950.968
Zhoushan1.0371.0991.03711.14
Taizhou0.9341.0570.9730.960.987
Lishui0.9520.9720.9550.9960.925
Hefei0.9940.97810.9940.972
Wuhu1.0040.9861.0210.9830.99
Bengbu1.0320.9891.0350.9971.021
Huainan0.9681.0320.970.9980.999
Ma’anshan1.0540.9861.0441.0091.039
Huaibei11.0140.9931.0061.014
Tongling1.0511.0161.0451.0061.067
Anqing0.9690.990.9810.9880.96
Huangshan0.9911.02510.9911.016
Chuzhou0.9510.9670.970.980.919
Fuyang0.9321.020.9460.9850.951
Suzhou0.9831.0510.9811.0021.034
Lu’an1.0291.0421.0211.0081.072
Bozhou0.9590.9870.9590.9990.946
Chizhou10.9631.0110.9890.963
Xuancheng0.9890.9230.9970.9920.914
Mean of Shanghai0.9411.15110.9411.083
Mean of Jiangsu0.9831.0001.0040.9790.982
Mean of Zhejiang0.9581.0250.9880.9700.982
Mean of Anhui0.9940.9980.9980.9950.992
Mean0.9801.0050.9970.9830.985