Skip to main content
. 2019 Sep 11;16(18):3353. doi: 10.3390/ijerph16183353

Table 3.

Estimation results of the impact of tourism on carbon emissions.

Model SDM SDEM GNSM OPM
Tourism 5.7728 * 3.2639 * 5.5860 * 4.5892 **
(1.82) (1.73) (1.75) (2.40)
Tourism2 −0.0678 ** −0.0577 *** −0.0654 ** −0.0711 ***
(−2.10) (−2.58) (−1.99) (−3.12)
Energy_con 2.7144 2.2529 *** 2.6729 2.3502 ***
(1.45) (8.17) (1.42) (8.37)
Energy_mix −0.0488 ** 2.9653 *** −0.0483 ** 3.1082 ***
(−2.21) (4.67) (−2.17) (5.15)
PGDP 2.3445 *** −0.9150 2.3631 *** −0.8199
(8.82) (−1.48) (8.80) (−1.36)
W*Tourism 2.9775 *** 7.8268 ** 3.0156 ***
(5.06) (2.41) (5.12)
W*Tourism2 −0.8750 −0.0899 *** −0.8838
(−1.51) (−2.73) (−1.54)
W*y 0.2834 *** 0.3030 ***
(4.02) (3.68)
W*u 0.1802 ** −0.0489
(2.03) (−0.43)
Log L −2267.08 −2272.58 −2266.99
LR test 0.19 11.18 ***
Province FE Y Y Y Y
Year FE Y Y Y Y
N 420 420 420 420
Chi2 633.56 *** 417.72 *** 679.93 *** -
R-Square 0.80 0.80 0.80 0.54

(1) the t-statistic of each coefficient was shown in brackets. (2) *** p < 0.01, ** p < 0.05, * p < 0.1. (3) “FE” represents fixed effect.