서 론
연구 배경
연구 목적
연구 방법
한국과 일본의 경륜시장 실태 비교
Table 1.
Comparison Korea and Japan cycle racing business 1996-2016
분석 모형
분석 대상
분석 자료
Table 2.
Korea & Japan cycle racing industry analysis (basic statistics)
분석 결과
한국의 경륜시장 분석 결과
Table 3.
The results of Korean cycle racing industry regression analysis.
Dependant variable: | log(REV) | log(POP) | log(CAP) | |||
---|---|---|---|---|---|---|
(i) | (ii) | (iii) | (iv) | (v) | (vi) | |
constant |
-56.210
***
(6.819) |
-65.332
***
(7.469) |
-35.219
***
(3.311) |
-48.606
***
(5.126) |
-11.781
*
(6.232) |
-7.515 (6.918) |
log(INC) |
7.550
***
(0.778) |
7.777
***
(0.837) |
5.917
***
(0.378) |
6.161
***
(0.574) |
1.633
**
(0.711) |
1.616
*
(0.775) |
OLD |
-0.471
***
(0.103) |
-0.522
***
(0.107) |
-0.516
***
(0.050) |
-0.589
***
(0.073) |
0.045 (0.094) |
0.067 (0.099) |
EM |
-0.112
**
(0.050) |
-0.177
***
(0.024) |
0.065 (0.046) |
|||
UN |
0.108
*
(0.054) |
0.152
***
(0.037) |
-0.044 (0.050) |
|||
RACE |
-0.002
***
(0.000) |
-0.002
**
(0.000) |
-0.000 (0.000) |
0.000 (0.000) |
-0.002
***
(0.000) |
-0.002
***
(0.000) |
observations adjusted R2 |
21 0.918 |
21 0.914 |
21 0.963 |
21 0.923 |
21 0.673 |
21 0.649 |
일본의 경륜시장 분석 결과
Table 4.
The results of Japanese cycle racing industry regression analysis.
Dependant variable: | log(REV) | log(POP) | log(CAP) | |||
---|---|---|---|---|---|---|
(i) | (ii) | (iii) | (iv) | (v) | (vi) | |
constant |
14.995 (8.909) |
26.459
***
(8.777) |
-57.645
*
(32.716) |
-64.775
*
(32.631) |
81.851
**
(32.759) |
100.444
***
(33.653) |
log(INC) |
-0.762 (0.889) |
-1.563
*
(0.894) |
7.551
**
(3.263) |
7.978
**
(3.323) |
-8.313
**
(3.267) |
-9.541
**
(3.427) |
OLD |
-0.097
*
(0.050) |
-0.074 (0.049) |
-0.254 (0.185) |
-0.283 (0.184) |
0.157 (0.185) |
0.209 (0.189) |
EM |
0.059
**
(0.025) |
-0.067 (0.091) |
0.126 (0.091) |
|||
UN |
-0.085
**
(0.036) |
-0.004 (0.135) |
-0.081 (0.139) |
|||
RACE |
-0.001
**
(0.000) |
-0.001
**
(0.000) |
-0.000 (0.001) |
-0.000 (0.001) |
-0.000 (0.001) |
-0.000 (0.001) |
observations adjusted R2 |
21 0.804 |
21 0.802 |
21 0.720 |
21 0.711 |
21 0.821 |
21 0.804 |