| IVOD_ID |
160214 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160214 |
| 日期 |
2025-04-16 |
| 會議資料.會議代碼 |
委員會-11-3-23-7 |
| 會議資料.會議代碼:str |
第11屆第3會期交通委員會第7次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
3 |
| 會議資料.會次 |
7 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
23 |
| 會議資料.委員會代碼:str[0] |
交通委員會 |
| 會議資料.標題 |
第11屆第3會期交通委員會第7次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-04-16T10:38:17+08:00 |
| 結束時間 |
2025-04-16T10:48:03+08:00 |
| 影片長度 |
00:09:46 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279dfcf2a5af51d271bbff316f6363e53358eebda33721556222a077d9df624e048115ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
林俊憲 |
| 委員發言時間 |
10:38:17 - 10:48:03 |
| 會議時間 |
2025-04-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期交通委員會第7次全體委員會議（事由：一、邀請交通部部長陳世凱列席報告業務概況，並備質詢。
二、邀請交通部部長、經濟部次長、外交部次長、財政部次長、行政院經貿談判辦公室就「美國課徵對等關稅對我國交通公私部門之衝擊與因應」進行專題報告，並備質詢。
【4月16日及17日二天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
2.17409375 |
| transcript.pyannote[0].end |
3.77721875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
4.21596875 |
| transcript.pyannote[1].end |
5.88659375 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
6.46034375 |
| transcript.pyannote[2].end |
7.28721875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
13.24409375 |
| transcript.pyannote[3].end |
13.71659375 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
14.13846875 |
| transcript.pyannote[4].end |
14.64471875 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
15.23534375 |
| transcript.pyannote[5].end |
17.91846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
18.44159375 |
| transcript.pyannote[6].end |
20.98971875 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
22.05284375 |
| transcript.pyannote[7].end |
24.73596875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
25.93409375 |
| transcript.pyannote[8].end |
26.20409375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
26.67659375 |
| transcript.pyannote[9].end |
29.96721875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
30.45659375 |
| transcript.pyannote[10].end |
33.56159375 |
| transcript.pyannote[11].speaker |
SPEAKER_01 |
| transcript.pyannote[11].start |
34.23659375 |
| transcript.pyannote[11].end |
35.41784375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
36.02534375 |
| transcript.pyannote[12].end |
37.22346875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
37.51034375 |
| transcript.pyannote[13].end |
42.84284375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
44.32784375 |
| transcript.pyannote[14].end |
46.53846875 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
46.65659375 |
| transcript.pyannote[15].end |
48.42846875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
49.52534375 |
| transcript.pyannote[16].end |
51.70221875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
52.19159375 |
| transcript.pyannote[17].end |
53.35596875 |
| transcript.pyannote[18].speaker |
SPEAKER_01 |
| transcript.pyannote[18].start |
54.13221875 |
| transcript.pyannote[18].end |
57.74346875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
58.70534375 |
| transcript.pyannote[19].end |
60.25784375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
60.61221875 |
| transcript.pyannote[20].end |
62.40096875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
62.90721875 |
| transcript.pyannote[21].end |
64.18971875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
65.10096875 |
| transcript.pyannote[22].end |
66.40034375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
67.63221875 |
| transcript.pyannote[23].end |
68.93159375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
70.19721875 |
| transcript.pyannote[24].end |
75.63096875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
76.18784375 |
| transcript.pyannote[25].end |
76.52534375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
76.96409375 |
| transcript.pyannote[26].end |
78.31409375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
78.63471875 |
| transcript.pyannote[27].end |
85.50284375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
86.07659375 |
| transcript.pyannote[28].end |
89.18159375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
90.36284375 |
| transcript.pyannote[29].end |
91.67909375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
92.28659375 |
| transcript.pyannote[30].end |
92.64096875 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
92.82659375 |
| transcript.pyannote[31].end |
93.65346875 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
94.10909375 |
| transcript.pyannote[32].end |
95.35784375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
95.49284375 |
| transcript.pyannote[33].end |
95.94846875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
95.94846875 |
| transcript.pyannote[34].end |
96.25221875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
96.74159375 |
| transcript.pyannote[35].end |
99.39096875 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
99.89721875 |
| transcript.pyannote[36].end |
100.85909375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
101.61846875 |
| transcript.pyannote[37].end |
103.18784375 |
| transcript.pyannote[38].speaker |
SPEAKER_01 |
| transcript.pyannote[38].start |
103.54221875 |
| transcript.pyannote[38].end |
105.56721875 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
106.73159375 |
| transcript.pyannote[39].end |
108.87471875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
109.38096875 |
| transcript.pyannote[40].end |
111.03471875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
111.42284375 |
| transcript.pyannote[41].end |
112.45221875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
113.31284375 |
| transcript.pyannote[42].end |
116.73846875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
117.49784375 |
| transcript.pyannote[43].end |
120.21471875 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
120.73784375 |
| transcript.pyannote[44].end |
137.83221875 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
137.47784375 |
| transcript.pyannote[45].end |
141.02159375 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
141.19034375 |
| transcript.pyannote[46].end |
145.22346875 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
144.31221875 |
| transcript.pyannote[47].end |
148.46346875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
147.19784375 |
| transcript.pyannote[48].end |
149.45909375 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
149.45909375 |
| transcript.pyannote[49].end |
149.74596875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
149.74596875 |
| transcript.pyannote[50].end |
149.96534375 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
149.96534375 |
| transcript.pyannote[51].end |
151.97346875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
151.68659375 |
| transcript.pyannote[52].end |
153.66096875 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
154.53846875 |
| transcript.pyannote[53].end |
156.14159375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
155.60159375 |
| transcript.pyannote[54].end |
157.32284375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
158.08221875 |
| transcript.pyannote[55].end |
164.42721875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
160.36034375 |
| transcript.pyannote[56].end |
160.44471875 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
162.11534375 |
| transcript.pyannote[57].end |
162.73971875 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
163.26284375 |
| transcript.pyannote[58].end |
164.64659375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
164.69721875 |
| transcript.pyannote[59].end |
166.31721875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
166.62096875 |
| transcript.pyannote[60].end |
167.02596875 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
167.46471875 |
| transcript.pyannote[61].end |
168.42659375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
168.69659375 |
| transcript.pyannote[62].end |
168.91596875 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
168.91596875 |
| transcript.pyannote[63].end |
172.37534375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
172.74659375 |
| transcript.pyannote[64].end |
175.44659375 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
175.44659375 |
| transcript.pyannote[65].end |
180.64409375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
176.32409375 |
| transcript.pyannote[66].end |
178.21409375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
179.22659375 |
| transcript.pyannote[67].end |
179.66534375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
180.64409375 |
| transcript.pyannote[68].end |
182.38221875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
182.65221875 |
| transcript.pyannote[69].end |
183.64784375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
185.08221875 |
| transcript.pyannote[70].end |
187.90034375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
188.79471875 |
| transcript.pyannote[71].end |
190.95471875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
192.25409375 |
| transcript.pyannote[72].end |
199.07159375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
199.76346875 |
| transcript.pyannote[73].end |
203.39159375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
204.03284375 |
| transcript.pyannote[74].end |
207.54284375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
208.42034375 |
| transcript.pyannote[75].end |
209.04471875 |
| transcript.pyannote[76].speaker |
SPEAKER_02 |
| transcript.pyannote[76].start |
209.04471875 |
| transcript.pyannote[76].end |
209.56784375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
210.15846875 |
| transcript.pyannote[77].end |
211.00221875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
211.74471875 |
| transcript.pyannote[78].end |
212.90909375 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
213.41534375 |
| transcript.pyannote[79].end |
221.68409375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
220.58721875 |
| transcript.pyannote[80].end |
220.77284375 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
221.49846875 |
| transcript.pyannote[81].end |
221.78534375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
221.75159375 |
| transcript.pyannote[82].end |
221.76846875 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
221.78534375 |
| transcript.pyannote[83].end |
221.81909375 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
221.97096875 |
| transcript.pyannote[84].end |
222.03846875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
222.10596875 |
| transcript.pyannote[85].end |
223.03409375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
223.10159375 |
| transcript.pyannote[86].end |
224.24909375 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
224.97471875 |
| transcript.pyannote[87].end |
226.10534375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
226.20659375 |
| transcript.pyannote[88].end |
227.05034375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
227.06721875 |
| transcript.pyannote[89].end |
227.08409375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
227.11784375 |
| transcript.pyannote[90].end |
227.40471875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
227.86034375 |
| transcript.pyannote[91].end |
231.01596875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
231.85971875 |
| transcript.pyannote[92].end |
233.54721875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
233.63159375 |
| transcript.pyannote[93].end |
235.94346875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
236.63534375 |
| transcript.pyannote[94].end |
239.74034375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
240.28034375 |
| transcript.pyannote[95].end |
247.16534375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
247.89096875 |
| transcript.pyannote[96].end |
250.87784375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
251.14784375 |
| transcript.pyannote[97].end |
254.91096875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
255.21471875 |
| transcript.pyannote[98].end |
259.16346875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
259.82159375 |
| transcript.pyannote[99].end |
261.44159375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
261.57659375 |
| transcript.pyannote[100].end |
262.53846875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
263.17971875 |
| transcript.pyannote[101].end |
264.05721875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
264.66471875 |
| transcript.pyannote[102].end |
267.46596875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
268.42784375 |
| transcript.pyannote[103].end |
269.87909375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
270.92534375 |
| transcript.pyannote[104].end |
271.00971875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
271.51596875 |
| transcript.pyannote[105].end |
273.03471875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
273.28784375 |
| transcript.pyannote[106].end |
273.96284375 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
274.99221875 |
| transcript.pyannote[107].end |
276.27471875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
276.27471875 |
| transcript.pyannote[108].end |
276.73034375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
276.27471875 |
| transcript.pyannote[109].end |
277.43909375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
278.01284375 |
| transcript.pyannote[110].end |
302.36346875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
287.91846875 |
| transcript.pyannote[111].end |
288.17159375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
301.36784375 |
| transcript.pyannote[112].end |
309.63659375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
306.17721875 |
| transcript.pyannote[113].end |
306.48096875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
310.14284375 |
| transcript.pyannote[114].end |
331.47284375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
330.83159375 |
| transcript.pyannote[115].end |
336.19784375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
336.55221875 |
| transcript.pyannote[116].end |
345.42846875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
346.79534375 |
| transcript.pyannote[117].end |
349.66409375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
349.19159375 |
| transcript.pyannote[118].end |
358.48971875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
357.49409375 |
| transcript.pyannote[119].end |
358.20284375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
358.48971875 |
| transcript.pyannote[120].end |
359.35034375 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
359.53596875 |
| transcript.pyannote[121].end |
362.05034375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
362.91096875 |
| transcript.pyannote[122].end |
364.48034375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
364.86846875 |
| transcript.pyannote[123].end |
365.47596875 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
366.06659375 |
| transcript.pyannote[124].end |
368.66534375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
369.01971875 |
| transcript.pyannote[125].end |
371.87159375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
372.46221875 |
| transcript.pyannote[126].end |
373.69409375 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
374.09909375 |
| transcript.pyannote[127].end |
374.75721875 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
375.17909375 |
| transcript.pyannote[128].end |
375.46596875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
375.75284375 |
| transcript.pyannote[129].end |
378.75659375 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
379.49909375 |
| transcript.pyannote[130].end |
382.80659375 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
383.43096875 |
| transcript.pyannote[131].end |
386.55284375 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
387.12659375 |
| transcript.pyannote[132].end |
392.34096875 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
387.44721875 |
| transcript.pyannote[133].end |
390.82221875 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
393.60659375 |
| transcript.pyannote[134].end |
395.09159375 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
395.26034375 |
| transcript.pyannote[135].end |
400.49159375 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
396.27284375 |
| transcript.pyannote[136].end |
396.66096875 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
400.28909375 |
| transcript.pyannote[137].end |
403.64721875 |
| transcript.pyannote[138].speaker |
SPEAKER_01 |
| transcript.pyannote[138].start |
404.17034375 |
| transcript.pyannote[138].end |
405.45284375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
406.33034375 |
| transcript.pyannote[139].end |
407.42721875 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
408.25409375 |
| transcript.pyannote[140].end |
409.08096875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
409.30034375 |
| transcript.pyannote[141].end |
410.32971875 |
| transcript.pyannote[142].speaker |
SPEAKER_01 |
| transcript.pyannote[142].start |
410.71784375 |
| transcript.pyannote[142].end |
412.79346875 |
| transcript.pyannote[143].speaker |
SPEAKER_01 |
| transcript.pyannote[143].start |
413.85659375 |
| transcript.pyannote[143].end |
421.61909375 |
| transcript.pyannote[144].speaker |
SPEAKER_02 |
| transcript.pyannote[144].start |
419.22284375 |
| transcript.pyannote[144].end |
421.82159375 |
| transcript.pyannote[145].speaker |
SPEAKER_01 |
| transcript.pyannote[145].start |
421.63596875 |
| transcript.pyannote[145].end |
422.74971875 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
422.74971875 |
| transcript.pyannote[146].end |
422.76659375 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
423.96471875 |
| transcript.pyannote[147].end |
423.98159375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
423.98159375 |
| transcript.pyannote[148].end |
431.74409375 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
430.27596875 |
| transcript.pyannote[149].end |
436.95846875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
431.79471875 |
| transcript.pyannote[150].end |
432.18284375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
438.12284375 |
| transcript.pyannote[151].end |
439.45596875 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
439.65846875 |
| transcript.pyannote[152].end |
441.00846875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
441.71721875 |
| transcript.pyannote[153].end |
443.11784375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
443.84346875 |
| transcript.pyannote[154].end |
444.55221875 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
445.53096875 |
| transcript.pyannote[155].end |
446.74596875 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
447.26909375 |
| transcript.pyannote[156].end |
447.67409375 |
| transcript.pyannote[157].speaker |
SPEAKER_02 |
| transcript.pyannote[157].start |
448.04534375 |
| transcript.pyannote[157].end |
450.08721875 |
| transcript.pyannote[158].speaker |
SPEAKER_01 |
| transcript.pyannote[158].start |
449.59784375 |
| transcript.pyannote[158].end |
452.09534375 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
453.36096875 |
| transcript.pyannote[159].end |
463.06409375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
463.16534375 |
| transcript.pyannote[160].end |
464.86971875 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
465.20721875 |
| transcript.pyannote[161].end |
466.37159375 |
| transcript.pyannote[162].speaker |
SPEAKER_01 |
| transcript.pyannote[162].start |
466.92846875 |
| transcript.pyannote[162].end |
468.14346875 |
| transcript.pyannote[163].speaker |
SPEAKER_01 |
| transcript.pyannote[163].start |
468.73409375 |
| transcript.pyannote[163].end |
470.47221875 |
| transcript.pyannote[164].speaker |
SPEAKER_01 |
| transcript.pyannote[164].start |
470.72534375 |
| transcript.pyannote[164].end |
475.04534375 |
| transcript.pyannote[165].speaker |
SPEAKER_01 |
| transcript.pyannote[165].start |
475.50096875 |
| transcript.pyannote[165].end |
477.35721875 |
| transcript.pyannote[166].speaker |
SPEAKER_01 |
| transcript.pyannote[166].start |
478.15034375 |
| transcript.pyannote[166].end |
484.02284375 |
| transcript.pyannote[167].speaker |
SPEAKER_01 |
| transcript.pyannote[167].start |
484.73159375 |
| transcript.pyannote[167].end |
491.00909375 |
| transcript.pyannote[168].speaker |
SPEAKER_01 |
| transcript.pyannote[168].start |
491.93721875 |
| transcript.pyannote[168].end |
494.92409375 |
| transcript.pyannote[169].speaker |
SPEAKER_01 |
| transcript.pyannote[169].start |
495.04221875 |
| transcript.pyannote[169].end |
498.88971875 |
| transcript.pyannote[170].speaker |
SPEAKER_01 |
| transcript.pyannote[170].start |
499.53096875 |
| transcript.pyannote[170].end |
501.01596875 |
| transcript.pyannote[171].speaker |
SPEAKER_02 |
| transcript.pyannote[171].start |
501.15096875 |
| transcript.pyannote[171].end |
503.12534375 |
| transcript.pyannote[172].speaker |
SPEAKER_01 |
| transcript.pyannote[172].start |
503.15909375 |
| transcript.pyannote[172].end |
504.96471875 |
| transcript.pyannote[173].speaker |
SPEAKER_01 |
| transcript.pyannote[173].start |
505.52159375 |
| transcript.pyannote[173].end |
505.89284375 |
| transcript.pyannote[174].speaker |
SPEAKER_02 |
| transcript.pyannote[174].start |
505.92659375 |
| transcript.pyannote[174].end |
507.46221875 |
| transcript.pyannote[175].speaker |
SPEAKER_01 |
| transcript.pyannote[175].start |
507.09096875 |
| transcript.pyannote[175].end |
508.55909375 |
| transcript.pyannote[176].speaker |
SPEAKER_01 |
| transcript.pyannote[176].start |
508.57596875 |
| transcript.pyannote[176].end |
509.85846875 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
510.56721875 |
| transcript.pyannote[177].end |
511.78221875 |
| transcript.pyannote[178].speaker |
SPEAKER_01 |
| transcript.pyannote[178].start |
513.84096875 |
| transcript.pyannote[178].end |
513.94221875 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
514.12784375 |
| transcript.pyannote[179].end |
518.51534375 |
| transcript.pyannote[180].speaker |
SPEAKER_01 |
| transcript.pyannote[180].start |
519.03846875 |
| transcript.pyannote[180].end |
520.52346875 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
521.14784375 |
| transcript.pyannote[181].end |
524.55659375 |
| transcript.pyannote[182].speaker |
SPEAKER_02 |
| transcript.pyannote[182].start |
522.66659375 |
| transcript.pyannote[182].end |
523.96596875 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
526.00784375 |
| transcript.pyannote[183].end |
528.30284375 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
528.70784375 |
| transcript.pyannote[184].end |
529.92284375 |
| transcript.pyannote[185].speaker |
SPEAKER_01 |
| transcript.pyannote[185].start |
530.46284375 |
| transcript.pyannote[185].end |
533.11221875 |
| transcript.pyannote[186].speaker |
SPEAKER_01 |
| transcript.pyannote[186].start |
534.09096875 |
| transcript.pyannote[186].end |
536.13284375 |
| transcript.pyannote[187].speaker |
SPEAKER_01 |
| transcript.pyannote[187].start |
536.77409375 |
| transcript.pyannote[187].end |
537.63471875 |
| transcript.pyannote[188].speaker |
SPEAKER_01 |
| transcript.pyannote[188].start |
537.92159375 |
| transcript.pyannote[188].end |
538.74846875 |
| transcript.pyannote[189].speaker |
SPEAKER_01 |
| transcript.pyannote[189].start |
538.98471875 |
| transcript.pyannote[189].end |
540.18284375 |
| transcript.pyannote[190].speaker |
SPEAKER_01 |
| transcript.pyannote[190].start |
540.72284375 |
| transcript.pyannote[190].end |
542.47784375 |
| transcript.pyannote[191].speaker |
SPEAKER_01 |
| transcript.pyannote[191].start |
543.64221875 |
| transcript.pyannote[191].end |
544.53659375 |
| transcript.pyannote[192].speaker |
SPEAKER_01 |
| transcript.pyannote[192].start |
545.92034375 |
| transcript.pyannote[192].end |
552.95721875 |
| transcript.pyannote[193].speaker |
SPEAKER_01 |
| transcript.pyannote[193].start |
553.90221875 |
| transcript.pyannote[193].end |
554.91471875 |
| transcript.pyannote[194].speaker |
SPEAKER_01 |
| transcript.pyannote[194].start |
555.77534375 |
| transcript.pyannote[194].end |
558.59346875 |
| transcript.pyannote[195].speaker |
SPEAKER_01 |
| transcript.pyannote[195].start |
559.09971875 |
| transcript.pyannote[195].end |
560.26409375 |
| transcript.pyannote[196].speaker |
SPEAKER_01 |
| transcript.pyannote[196].start |
560.51721875 |
| transcript.pyannote[196].end |
562.37346875 |
| transcript.pyannote[197].speaker |
SPEAKER_01 |
| transcript.pyannote[197].start |
562.94721875 |
| transcript.pyannote[197].end |
564.22971875 |
| transcript.pyannote[198].speaker |
SPEAKER_01 |
| transcript.pyannote[198].start |
564.51659375 |
| transcript.pyannote[198].end |
565.64721875 |
| transcript.pyannote[199].speaker |
SPEAKER_01 |
| transcript.pyannote[199].start |
565.76534375 |
| transcript.pyannote[199].end |
567.60471875 |
| transcript.pyannote[200].speaker |
SPEAKER_01 |
| transcript.pyannote[200].start |
568.26284375 |
| transcript.pyannote[200].end |
572.56596875 |
| transcript.pyannote[201].speaker |
SPEAKER_01 |
| transcript.pyannote[201].start |
572.90346875 |
| transcript.pyannote[201].end |
574.72596875 |
| transcript.pyannote[202].speaker |
SPEAKER_02 |
| transcript.pyannote[202].start |
574.72596875 |
| transcript.pyannote[202].end |
577.83096875 |
| transcript.pyannote[203].speaker |
SPEAKER_01 |
| transcript.pyannote[203].start |
577.25721875 |
| transcript.pyannote[203].end |
578.84346875 |
| transcript.pyannote[204].speaker |
SPEAKER_02 |
| transcript.pyannote[204].start |
578.84346875 |
| transcript.pyannote[204].end |
578.87721875 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
578.87721875 |
| transcript.pyannote[205].end |
581.64471875 |
| transcript.pyannote[206].speaker |
SPEAKER_02 |
| transcript.pyannote[206].start |
578.89409375 |
| transcript.pyannote[206].end |
583.06221875 |
| transcript.pyannote[207].speaker |
SPEAKER_01 |
| transcript.pyannote[207].start |
583.18034375 |
| transcript.pyannote[207].end |
586.20096875 |
| transcript.pyannote[208].speaker |
SPEAKER_02 |
| transcript.pyannote[208].start |
584.49659375 |
| transcript.pyannote[208].end |
584.86784375 |
| transcript.pyannote[209].speaker |
SPEAKER_02 |
| transcript.pyannote[209].start |
584.96909375 |
| transcript.pyannote[209].end |
585.42471875 |
| transcript.pyannote[210].speaker |
SPEAKER_00 |
| transcript.pyannote[210].start |
585.44159375 |
| transcript.pyannote[210].end |
585.55971875 |
| transcript.whisperx[0].start |
2.196 |
| transcript.whisperx[0].end |
28.163 |
| transcript.whisperx[0].text |
好 感謝主席本期邀請我們交通部陳部長好 陳部長委員好部長好部長我們今天在這裡討論美國關稅這次的對台灣的一個影響是其中大家前幾天討論很多的是汽車業但汽車業大家討論的就是台灣的關稅 |
| transcript.whisperx[1].start |
31.727 |
| transcript.whisperx[1].end |
57.486 |
| transcript.whisperx[1].text |
17.5%還有30%的貨物稅但是我要請教部長美國這一次他針對他的四十幾個主要貿易國家他每一個國家他都寫一份報告我查了這四十幾個國家他點名汽車就是對美國汽車不公平的主要國家只有台灣其他都是一些奇奇怪怪像非洲一些國家 |
| transcript.whisperx[2].start |
58.752 |
| transcript.whisperx[2].end |
66.057 |
| transcript.whisperx[2].text |
可是美國點名台灣對美國的汽車有貿易障礙他沒有講關稅也沒有講什麼貨物稅當然關稅我們太高 貨物稅我們太高這個我們現在可以跟美國來談 |
| transcript.whisperx[3].start |
77.045 |
| transcript.whisperx[3].end |
105.336 |
| transcript.whisperx[3].text |
那現在看起來大概主管部會大家也就美國這個部分在談但美國對於台灣美國車子到台灣來它最大的不滿它是技術性的障礙不是關稅非關稅貿易障礙對可是我看這幾天在討論汽車業汽車的影響都是講財政部 經濟部我從來沒看交通部交通部都躲起來 |
| transcript.whisperx[4].start |
106.789 |
| transcript.whisperx[4].end |
119.855 |
| transcript.whisperx[4].text |
今天造成汽車業被美國點名最主要的就是交通部政策造成的美方點名的是technical barriers to trade技術性的貿易障礙你知道我們的障礙是什麼嗎 |
| transcript.whisperx[5].start |
121.079 |
| transcript.whisperx[5].end |
140.294 |
| transcript.whisperx[5].text |
報告委員其實汽車的部分有三項一項當然是交通部的一些法規上面是有一些限制沒有錯安全檢驗的部分標準檢驗的部分那第二項其實是跟能源是有相關的也就是我們能源署對汽車油耗也是有限制我講的是美國點名我們的障礙是什麼東西 |
| transcript.whisperx[6].start |
141.295 |
| transcript.whisperx[6].end |
162.941 |
| transcript.whisperx[6].text |
我看起來你好像不懂這個部分耶你說的技術障礙我再跟你講技術障礙沒有說完美國這次點名技術障礙可能很多種也不止三種那美國點名我們是什麼地方安全法規標準的部分不是美國點名的是說我們對美國車子啊到台灣來我們一個車型一年配額限制75輛 |
| transcript.whisperx[7].start |
167.506 |
| transcript.whisperx[7].end |
187.516 |
| transcript.whisperx[7].text |
那你知不知道 之前我們對美國車子到台灣來我們一個車型 原本一年限制多少輛很像最早期是從兩千輛到七十五輛慢慢慢慢降 降到現在七十五一種車型所以你要針對美國不滿的地方來 你今天的報告裡面寫的 你不寫也不寫這裡面寫的 航運 貨運 觀光 |
| transcript.whisperx[8].start |
192.301 |
| transcript.whisperx[8].end |
198.034 |
| transcript.whisperx[8].text |
你針對這幾天討論最多的就是汽車包委員這個部分我們其實跟那你的報告應該告訴我們 |
| transcript.whisperx[9].start |
200.093 |
| transcript.whisperx[9].end |
226.773 |
| transcript.whisperx[9].text |
那針對這個部分你要怎麼處理因為這個確實有一點不公平啦那美國進口的二手車有沒有配合沒有配合沒有配合喔這變得很奇怪的喔所以美國的二手車到台灣來啊就所謂的掛過 在美國掛過牌的啦就是我們台灣你說的外匯車啦李秋車啦一年哇 這個好幾萬台啊這個蠻多的很多台喔對 |
| transcript.whisperx[10].start |
227.935 |
| transcript.whisperx[10].end |
246.953 |
| transcript.whisperx[10].text |
所以台灣上路的美規中古車啊各位看啦 這個其實看得出來啦我們外行 我為了這個才去研究因為世界上有兩大系統一個是歐盟的規則一個是美國聯邦經濟安全標準那台灣加入WTO的時候我們採用的是歐盟標準 |
| transcript.whisperx[11].start |
247.93 |
| transcript.whisperx[11].end |
273.038 |
| transcript.whisperx[11].text |
因為世界主要汽車大國都在歐洲啦所以如果從歐洲進口車沒有這個問題沒有配合啦而且就是只要歐盟審核通過的車子就可以到台灣來但美國車子我們就特別定下一個障礙一個車型一年只能75台原本是一年2000台啊那現在變成到75台我不知道車安中心為什麼這麼定啊這誰定的啊 |
| transcript.whisperx[12].start |
276.518 |
| transcript.whisperx[12].end |
301.639 |
| transcript.whisperx[12].text |
這個部分我跟委員報告一下剛剛委員所提到確實就是說這個現行這個車輛安全法規的部分的話大家都是調和聯合國一位一席法規進來那原則上就是說國際上各個車廠要銷售到各地的這個車輛的話基本上就是要符合當地國的這個法規那當時這個純美規車輛的部分基本上就是說純美規你為什麼先回答我的問題 |
| transcript.whisperx[13].start |
304.681 |
| transcript.whisperx[13].end |
330.508 |
| transcript.whisperx[13].text |
從2000台到75台那為什麼美國二手車你就沒有限配當時對於純美規的這個車輛基本上其實我們是相較於日本或是這個韓國是特別開了一條路就是說純美規的車輛還可以到這一個國內來那剛剛委員所提到那個外匯車中古車的部分的話因為他是屬於這個使用過的車輛他的法規檢測項目比較少所以 |
| transcript.whisperx[14].start |
330.868 |
| transcript.whisperx[14].end |
342.968 |
| transcript.whisperx[14].text |
如果玫瑰車你講的是我們特別開個縫那為什麼二手車都可以就沒有限制然後你新車就給他限制我現在不是你在這邊跟我講現在是美方把這樣子認為是一個貿易障礙 |
| transcript.whisperx[15].start |
346.868 |
| transcript.whisperx[15].end |
374.529 |
| transcript.whisperx[15].text |
他特別點名台灣你怎麼給我做這樣的限制報告委員這個部分我們已經跟行政院那邊也都有做溝通那未來該怎麼樣去跟美國談判其實我們也都已經有版本我跟你說啦部長我跟你講他們這個一個你們車安中心還有陸中獅這邊你們這個非常衙門化你這官僚你也回答不出來啊你兩兄弟現在槓七十五台所以各位有沒有注意到啊其實啊 |
| transcript.whisperx[16].start |
376.348 |
| transcript.whisperx[16].end |
403.386 |
| transcript.whisperx[16].text |
台灣現在看不到純美國車的車子啦像卡迪拉克啦雪佛朗這些你大概看不到啦那福特為什麼看得到那福特車子為什麼看不到福特車子都是歐規的啦他們是做歐規的沒錯他們都用歐規的車包含特斯拉雖然在美國製造但是他是用歐規的車他們都用歐規的車因為我們台灣人汗水只用車營70幾台嘛 |
| transcript.whisperx[17].start |
406.397 |
| transcript.whisperx[17].end |
419.325 |
| transcript.whisperx[17].text |
那現在造成啊我記得好像Poeta有一個車型有一個車啦他就用一個車型他其實同一台車啦他用不同的規格車子就申請為四五種車型用這樣來鑽漏洞那你也是準啊 |
| transcript.whisperx[18].start |
424.085 |
| transcript.whisperx[18].end |
451.017 |
| transcript.whisperx[18].text |
你賣準跟委員報告他那個沒有專注因為我們是同意車同意這個規格車輛行駛我跟你講這個如果不是美國把它點出來說你台灣設一個貿易障礙我也不知道我也不知道我們有這麼多人我現在發現啦美方指責我們這個貿易障礙這有得力啊你憑什麼人就市長來決定啦對不對但其實日韓各國也都是那我跟你講喔你這樣的話對於 |
| transcript.whisperx[19].start |
454.27 |
| transcript.whisperx[19].end |
470.014 |
| transcript.whisperx[19].text |
你不要被旁邊人給影響美國沒有跟日本車 韓國車美國車是銷到日本 韓國美國沒有點出貿易障礙他只有特別點台灣你不要被旁邊的幕僚給你唬爛去還有 你要跟我們寫關稅對台灣的交通部對關稅的因應還有影響台灣有個產業會影響很大 |
| transcript.whisperx[20].start |
478.208 |
| transcript.whisperx[20].end |
497.464 |
| transcript.whisperx[20].text |
台灣沒有車子銷美國啦 幾乎沒有但台灣的汽車零組件 銷美國量很大啦台灣一年有1000多億的汽車零組件這是台灣非常重要的衛銷產業啦台灣非常強啦包括燈啦 輪框啦 輪壺 一大堆啦你現在如果美國用這樣的關稅齁那這個汽車零組件我們賺的 |
| transcript.whisperx[21].start |
499.728 |
| transcript.whisperx[21].end |
522.453 |
| transcript.whisperx[21].text |
你裡面連寫也沒寫到報告員這是在經濟部的報告裡面那跟你交通部沒關係嗎對不對零組件的產業不是我的產業這些也是我們交通部車輛的零組件嘛照你寫各位可以看一下交通部寫的這個報告跟美國關稅跟交通部一樣應用也沒有你寫起來是毫無影響啊那我再告訴你你躲了好幾天啊 |
| transcript.whisperx[22].start |
526.052 |
| transcript.whisperx[22].end |
554.774 |
| transcript.whisperx[22].text |
去美方點名我們的汽車貿易障礙要出來回答這個問題的是交通部啦財政部講的是關稅 那沒有錯我去談經濟部有去談你的關稅或是稅那你交通部要出來回答這個問題嘛你告訴我台灣是很少見的來 你去查一下美國對這幾十個主要貿易國家有提到汽車台灣大概是唯一啦 |
| transcript.whisperx[23].start |
555.816 |
| transcript.whisperx[23].end |
572.174 |
| transcript.whisperx[23].text |
其他國家我沒有看到你說日本 韓國沒有啦美方沒有認為他美國撤資到日本 韓國有什麼障礙只有點名我們台灣點名就是這個問題這個其實不合理啦那如果沒有美國來點名的話其實沒人知道他們也是照幹啦 |
| transcript.whisperx[24].start |
572.955 |
| transcript.whisperx[24].end |
580.669 |
| transcript.whisperx[24].text |
你旁邊那些他們什麼相關單位報告委員第一時間我們已經跟行政院那邊都有溝通我知道因為美國都跟你講了他還沒講我們就再處理了好謝謝主席啦謝謝部長謝謝委員 |