Research Article

Synergetic Development Measure of Airport Groups Composite System and Its Influencing Factors Analysis: Some Evidence from China

Table 2

Synergy degree of the composite system of each airport in the Chengdu-Chongqing airport group.

Airport2013201420152016201720182019202020212022Mean value

ZUCK0.10470.24860.34760.45270.47500.64750.76840.65410.75160.74320.5193
ZUUU0.03030.16830.26600.38430.48060.58350.76660.67210.73660.60860.4697
ZUMY0.04910.16710.16840.34090.39670.55890.68920.61670.63910.55960.4186
ZULZ0.07770.11180.13540.28030.1621−0.09270.66900.67100.61070.41900.3044
ZUYB0.11750.10980.19150.19270.26530.42760.42180.51900.62970.55260.3427
ZUNC−0.03730.14220.13160.23910.31270.47660.38630.29740.30830.31470.2572
ZUDX0.10590.07550.25880.35400.26820.54930.53490.40360.41220.36570.3328
ZUWX−0.0043−0.01430.11570.17610.29090.46820.53240.53410.55010.40500.3054
ZUQJ0.09530.13440.18690.18800.27120.40570.41580.73430.65280.40720.3492

Note. The name of each airport is replaced by the ICAO code (the name of the airport is replaced by the ICAO code in the latter part of the paper (see Table 3)).