IVOD_ID |
159695 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159695 |
日期 |
2025-03-27 |
會議資料.會議代碼 |
委員會-11-3-20-5 |
會議資料.會議代碼:str |
第11屆第3會期財政委員會第5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 |
5 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.標題 |
第11屆第3會期財政委員會第5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-03-27T10:39:48+08:00 |
結束時間 |
2025-03-27T10:50:30+08:00 |
影片長度 |
00:10:42 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db9003b2bc2c7469845e51a80f058510e45acb9e3eaef4bc7903317f2b9852dd2beff5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
林思銘 |
委員發言時間 |
10:39:48 - 10:50:30 |
會議時間 |
2025-03-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期財政委員會第5次全體委員會議(事由:邀請財政部莊部長翠雲、中央銀行楊總裁金龍、金融監督管理委員會彭主任委員金隆、國家發展委員會劉主任委員鏡清、經濟部郭部長智輝、農業部陳部長駿季就「因應美國川普政府對等關稅策略與我國被列入骯髒十五國名單,我國政府財經相關單位因應策略」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_02 |
transcript.pyannote[0].start |
0.43596875 |
transcript.pyannote[0].end |
0.92534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
1.04346875 |
transcript.pyannote[1].end |
1.98846875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
2.03909375 |
transcript.pyannote[2].end |
2.15721875 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
2.15721875 |
transcript.pyannote[3].end |
2.22471875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
2.22471875 |
transcript.pyannote[4].end |
2.32596875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
6.47721875 |
transcript.pyannote[5].end |
7.25346875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
7.35471875 |
transcript.pyannote[6].end |
21.15846875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
21.68159375 |
transcript.pyannote[7].end |
43.68659375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
43.95659375 |
transcript.pyannote[8].end |
49.93034375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
50.47034375 |
transcript.pyannote[9].end |
53.37284375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
54.09846875 |
transcript.pyannote[10].end |
58.92471875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
59.38034375 |
transcript.pyannote[11].end |
62.16471875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
62.43471875 |
transcript.pyannote[12].end |
64.49346875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
64.93221875 |
transcript.pyannote[13].end |
71.47971875 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
71.61471875 |
transcript.pyannote[14].end |
73.15034375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
73.77471875 |
transcript.pyannote[15].end |
77.01471875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
77.75721875 |
transcript.pyannote[16].end |
78.68534375 |
transcript.pyannote[17].speaker |
SPEAKER_02 |
transcript.pyannote[17].start |
77.99346875 |
transcript.pyannote[17].end |
78.06096875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
78.38159375 |
transcript.pyannote[18].end |
83.05596875 |
transcript.pyannote[19].speaker |
SPEAKER_02 |
transcript.pyannote[19].start |
83.22471875 |
transcript.pyannote[19].end |
92.91096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
86.68409375 |
transcript.pyannote[20].end |
87.08909375 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
93.16409375 |
transcript.pyannote[21].end |
95.40846875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
95.72909375 |
transcript.pyannote[22].end |
98.88471875 |
transcript.pyannote[23].speaker |
SPEAKER_02 |
transcript.pyannote[23].start |
99.15471875 |
transcript.pyannote[23].end |
100.30221875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
100.63971875 |
transcript.pyannote[24].end |
109.43159375 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
109.63409375 |
transcript.pyannote[25].end |
126.30659375 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
126.34034375 |
transcript.pyannote[26].end |
128.56784375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
128.78721875 |
transcript.pyannote[27].end |
131.80784375 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
132.29721875 |
transcript.pyannote[28].end |
141.35909375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
141.35909375 |
transcript.pyannote[29].end |
141.44346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
141.76409375 |
transcript.pyannote[30].end |
144.04221875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
144.76784375 |
transcript.pyannote[31].end |
145.96596875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
147.24846875 |
transcript.pyannote[32].end |
155.24721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
155.92221875 |
transcript.pyannote[33].end |
160.51221875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
159.92159375 |
transcript.pyannote[34].end |
160.22534375 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
160.90034375 |
transcript.pyannote[35].end |
169.97909375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
162.80721875 |
transcript.pyannote[36].end |
163.31346875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
168.98346875 |
transcript.pyannote[37].end |
173.77596875 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
174.16409375 |
transcript.pyannote[38].end |
181.31909375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
174.83909375 |
transcript.pyannote[39].end |
175.90221875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
176.13846875 |
transcript.pyannote[40].end |
176.52659375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
181.77471875 |
transcript.pyannote[41].end |
185.90909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
186.31409375 |
transcript.pyannote[42].end |
189.21659375 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
189.21659375 |
transcript.pyannote[43].end |
197.58659375 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
198.07596875 |
transcript.pyannote[44].end |
201.26534375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
201.40034375 |
transcript.pyannote[45].end |
203.64471875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
203.35784375 |
transcript.pyannote[46].end |
204.70784375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
205.21409375 |
transcript.pyannote[47].end |
220.65471875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
216.85784375 |
transcript.pyannote[48].end |
217.24596875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
221.38034375 |
transcript.pyannote[49].end |
223.84409375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
221.39721875 |
transcript.pyannote[50].end |
222.30846875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
223.84409375 |
transcript.pyannote[51].end |
224.01284375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
228.48471875 |
transcript.pyannote[52].end |
232.63596875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
229.00784375 |
transcript.pyannote[53].end |
229.66596875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
233.19284375 |
transcript.pyannote[54].end |
236.93909375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
233.22659375 |
transcript.pyannote[55].end |
235.57221875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
237.32721875 |
transcript.pyannote[56].end |
242.94659375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
243.26721875 |
transcript.pyannote[57].end |
247.51971875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
247.73909375 |
transcript.pyannote[58].end |
250.05096875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
250.35471875 |
transcript.pyannote[59].end |
267.71909375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
270.58784375 |
transcript.pyannote[60].end |
271.06034375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
271.80284375 |
transcript.pyannote[61].end |
275.02596875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
275.34659375 |
transcript.pyannote[62].end |
275.98784375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
276.56159375 |
transcript.pyannote[63].end |
310.44659375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
282.95721875 |
transcript.pyannote[64].end |
284.52659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
284.83034375 |
transcript.pyannote[65].end |
289.69034375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
290.17971875 |
transcript.pyannote[66].end |
290.38221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
296.81159375 |
transcript.pyannote[67].end |
297.16596875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
310.91909375 |
transcript.pyannote[68].end |
327.99659375 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
328.11471875 |
transcript.pyannote[69].end |
337.96971875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
330.51096875 |
transcript.pyannote[70].end |
330.84846875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
338.27346875 |
transcript.pyannote[71].end |
349.57971875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
349.98471875 |
transcript.pyannote[72].end |
350.98034375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
351.45284375 |
transcript.pyannote[73].end |
351.84096875 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
352.43159375 |
transcript.pyannote[74].end |
355.35096875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
354.86159375 |
transcript.pyannote[75].end |
354.87846875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
354.87846875 |
transcript.pyannote[76].end |
355.78971875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
355.73909375 |
transcript.pyannote[77].end |
357.46034375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
357.74721875 |
transcript.pyannote[78].end |
360.10971875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
360.29534375 |
transcript.pyannote[79].end |
367.19721875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
365.37471875 |
transcript.pyannote[80].end |
365.94846875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
367.23096875 |
transcript.pyannote[81].end |
368.29409375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
368.74971875 |
transcript.pyannote[82].end |
370.15034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
370.53846875 |
transcript.pyannote[83].end |
373.82909375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
373.82909375 |
transcript.pyannote[84].end |
384.02159375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
374.79096875 |
transcript.pyannote[85].end |
376.91721875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
378.45284375 |
transcript.pyannote[86].end |
378.55409375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
384.59534375 |
transcript.pyannote[87].end |
387.37971875 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
387.81846875 |
transcript.pyannote[88].end |
389.10096875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
389.53971875 |
transcript.pyannote[89].end |
391.69971875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
391.71659375 |
transcript.pyannote[90].end |
393.38721875 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
394.14659375 |
transcript.pyannote[91].end |
396.22221875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
397.01534375 |
transcript.pyannote[92].end |
406.43159375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
403.42784375 |
transcript.pyannote[93].end |
403.88346875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
406.54971875 |
transcript.pyannote[94].end |
407.93346875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
408.03471875 |
transcript.pyannote[95].end |
412.05096875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
412.08471875 |
transcript.pyannote[96].end |
412.92846875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
412.92846875 |
transcript.pyannote[97].end |
413.82284375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
413.51909375 |
transcript.pyannote[98].end |
429.73596875 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
429.73596875 |
transcript.pyannote[99].end |
430.12409375 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
430.12409375 |
transcript.pyannote[100].end |
432.33471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
432.33471875 |
transcript.pyannote[101].end |
464.65034375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
435.89534375 |
transcript.pyannote[102].end |
436.99221875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
464.73471875 |
transcript.pyannote[103].end |
469.69596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
470.06721875 |
transcript.pyannote[104].end |
478.25159375 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
478.50471875 |
transcript.pyannote[105].end |
490.57034375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
490.85721875 |
transcript.pyannote[106].end |
502.93971875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
503.64846875 |
transcript.pyannote[107].end |
503.96909375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
503.96909375 |
transcript.pyannote[108].end |
508.28909375 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
508.52534375 |
transcript.pyannote[109].end |
511.52909375 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
511.68096875 |
transcript.pyannote[110].end |
512.71034375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
512.96346875 |
transcript.pyannote[111].end |
513.40221875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
513.65534375 |
transcript.pyannote[112].end |
527.83034375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
514.58346875 |
transcript.pyannote[113].end |
514.88721875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
525.40034375 |
transcript.pyannote[114].end |
545.61659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
545.97096875 |
transcript.pyannote[115].end |
553.07534375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
546.30846875 |
transcript.pyannote[116].end |
547.92846875 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
553.48034375 |
transcript.pyannote[117].end |
564.49971875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
553.78409375 |
transcript.pyannote[118].end |
554.15534375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
565.07346875 |
transcript.pyannote[119].end |
570.35534375 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
570.69284375 |
transcript.pyannote[120].end |
584.44596875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
581.50971875 |
transcript.pyannote[121].end |
581.76284375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
581.77971875 |
transcript.pyannote[122].end |
581.88096875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
583.83846875 |
transcript.pyannote[123].end |
584.41221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
584.44596875 |
transcript.pyannote[124].end |
584.56409375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
584.49659375 |
transcript.pyannote[125].end |
586.42034375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
586.84221875 |
transcript.pyannote[126].end |
599.07659375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
588.17534375 |
transcript.pyannote[127].end |
588.19221875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
588.19221875 |
transcript.pyannote[128].end |
589.96409375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
589.96409375 |
transcript.pyannote[129].end |
590.08221875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
590.08221875 |
transcript.pyannote[130].end |
590.20034375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
590.87534375 |
transcript.pyannote[131].end |
590.92596875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
590.92596875 |
transcript.pyannote[132].end |
591.02721875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
591.02721875 |
transcript.pyannote[133].end |
591.56721875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
591.56721875 |
transcript.pyannote[134].end |
591.58409375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
591.58409375 |
transcript.pyannote[135].end |
591.61784375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
592.59659375 |
transcript.pyannote[136].end |
593.32221875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
600.27471875 |
transcript.pyannote[137].end |
613.97721875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
610.88909375 |
transcript.pyannote[138].end |
631.47659375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
632.16846875 |
transcript.pyannote[139].end |
636.92721875 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
637.63596875 |
transcript.pyannote[140].end |
640.80846875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
641.12909375 |
transcript.pyannote[141].end |
642.05721875 |
transcript.whisperx[0].start |
0.424 |
transcript.whisperx[0].end |
18.122 |
transcript.whisperx[0].text |
委員 副總代表 請委員好市長 我想我延續剛才李燕秀委員她的一個這個直訊的內容我想我們一直關心說台灣到底會不會被列入我們所謂的骯髒15國the 1315的名單 |
transcript.whisperx[1].start |
21.721 |
transcript.whisperx[1].end |
36.403 |
transcript.whisperx[1].text |
那我想這一次的安昌15國它主要美國所訂的就是對美國的課徵高關稅以及有貿易順差非常大的幾個國家進行管控的與壓力的施加 |
transcript.whisperx[2].start |
37.344 |
transcript.whisperx[2].end |
52.791 |
transcript.whisperx[2].text |
那當然根據媒體的報導台灣有可能會被列入為這個名單之一但是我們剛才一直 李燕雄委員非常關心如果在4月2號以前他就要生效嘛 要公佈嘛那在4月2號以前到底我國 |
transcript.whisperx[3].start |
54.144 |
transcript.whisperx[3].end |
76.645 |
transcript.whisperx[3].text |
跟美國有沒有進行相關的貿易談判或者我們在策略上要做什麼樣的因應能夠避免台灣被列入因為川普昨天對媒體來講可能對一些讓步的國家或者跟他們透過談判他們會把他豁免你認為台灣有可能被豁免嗎透過什麼樣的一個策略來做 |
transcript.whisperx[4].start |
78.46 |
transcript.whisperx[4].end |
90.808 |
transcript.whisperx[4].text |
跟委員報告兩點第一點呢就如同委員所說的這骯髒15國到底是哪些國家現在不確定都是媒體的報導第二點呢因為要等到4月1號整個備忘錄的檢討報告出來之後 |
transcript.whisperx[5].start |
93.188 |
transcript.whisperx[5].end |
109.113 |
transcript.whisperx[5].text |
我們才會知道川普政府會對主要的貿易的對手國採取什麼樣的關稅的措施但是在這個之前因為台美的關係經貿關係非常密切其實從川普還沒有上任之前我們就密切觀察 |
transcript.whisperx[6].start |
109.793 |
transcript.whisperx[6].end |
123.739 |
transcript.whisperx[6].text |
川普的相關的言論然後他上任之後因為台美經貿溝通管道很多不論是我們過去有訪團或者有任何的美國的官員甚至國會議員到台灣來訪我們都會跟他們說明台美經貿關係的重要性以及台灣資通訊產品 |
transcript.whisperx[7].start |
132.541 |
transcript.whisperx[7].end |
143.457 |
transcript.whisperx[7].text |
對於美國的重要性因為其實台灣的這個資通訊的產品之所以會輸美呢最主要也是美國的客戶下的單所以這樣聽起來那個次長你是很樂觀的喔 |
transcript.whisperx[8].start |
147.301 |
transcript.whisperx[8].end |
172.915 |
transcript.whisperx[8].text |
你認為台美的經貿關係現在是溝通無礙非常的暢通美國也很諒解我國的一個處境所以我聽你開這句話你是認為我們不會被列入囉?您的評估我們還是很謹慎因為川普他還沒有公布他這樣的報告但是我們必須利用任何的各種的機會各種的管道所以在4月2號以前我們會進行相關的一些措施囉?會不會? |
transcript.whisperx[9].start |
174.218 |
transcript.whisperx[9].end |
192.139 |
transcript.whisperx[9].text |
我們會進行溝通因為現在不知道他美國會採取什麼樣的措施還沒有進入談判的階段那就來不及他4月2號之前如果沒有任何進行任何的一個作為他就公佈了你你如何你還要跟他談判報告委員在行政院有一個這個 |
transcript.whisperx[10].start |
194.001 |
transcript.whisperx[10].end |
220.395 |
transcript.whisperx[10].text |
這個台美的專案小組我們有各種可能的方案來進行沙盤推演也研議了各種的應對我想市長我們還是希望台灣不要被列入那該怎麼樣來做談判那幾個項目要做讓步的或是怎麼樣我想我國應該要有積極的一個因應的措施請你們加油接下來請這個央行你請回 |
transcript.whisperx[11].start |
221.653 |
transcript.whisperx[11].end |
222.338 |
transcript.whisperx[11].text |
楊瀾的副總裁 |
transcript.whisperx[12].start |
228.69 |
transcript.whisperx[12].end |
234.794 |
transcript.whisperx[12].text |
副總裁央行去年11月15號也對外表示過台灣續留在美國的匯率操縱觀察名單內將可能會是常態主因是為台灣對美的貿易順差一直擴增而非匯率的問題 |
transcript.whisperx[13].start |
256.508 |
transcript.whisperx[13].end |
267.458 |
transcript.whisperx[13].text |
所以我要請問副總裁如果主要原因是因為雙方的貿易的順差央行是否認為台灣被正式列入為骯髒十五國的名單的機率很大 |
transcript.whisperx[14].start |
270.829 |
transcript.whisperx[14].end |
288.379 |
transcript.whisperx[14].text |
我剛才在報告中已經談到基本上央行被列入匯率操縱的可能性如果跟那些指標是很小的但是是不是會很小的 對不起到目前為止我們溝通 |
transcript.whisperx[15].start |
293.962 |
transcript.whisperx[15].end |
309.195 |
transcript.whisperx[15].text |
管道等等都了解貿易順差到底是什麼原因那美國財政部也很了解這個部分所以我不覺得這個部分會是一個考慮的因素但是在關稅的 |
transcript.whisperx[16].start |
311.016 |
transcript.whisperx[16].end |
327.376 |
transcript.whisperx[16].text |
部分就陳儒剛才各部會講其實他的標準到底最後是不是我們講的貿易順差或關稅稅率會有其他考量這個目前他沒有公佈之前我們是沒有確定的信息 |
transcript.whisperx[17].start |
328.697 |
transcript.whisperx[17].end |
348.846 |
transcript.whisperx[17].text |
當然現在是不確定的狀態但是我們還是要預作因應所以我問你假設性的問題如果台灣真的被列為名單之一美國將會執行的對等關稅那就會攸關我們台灣的進出口到那個時候央行針對台幣對美元的匯率是否會進行必要的調節 |
transcript.whisperx[18].start |
350.449 |
transcript.whisperx[18].end |
366.966 |
transcript.whisperx[18].text |
其實台幣的匯率都是市場供需決定的但是我們在面對這樣的問題金融的穩定性外匯市場的穩定性我們會去觀察那進一步當然 |
transcript.whisperx[19].start |
369.607 |
transcript.whisperx[19].end |
389.972 |
transcript.whisperx[19].text |
這個部分市場波動比較大的時候當然 你到時候再說因應對 我們會去穩定但這不叫干預對 OK那對於今年經濟的成長率啊你預估可能會有什麼樣的影響這個都假設性的問題如果把我們列入1315對我們的經濟的成長率會有什麼樣的影響其實在那個我們的報告裡面 |
transcript.whisperx[20].start |
397.079 |
transcript.whisperx[20].end |
399.581 |
transcript.whisperx[20].text |
他在做這個臆測的時候他有一些假設條件在那譬如說義孤關稅稅率等等不同的設定之下我們可以看到對台灣的影響 |
transcript.whisperx[21].start |
413.309 |
transcript.whisperx[21].end |
431.851 |
transcript.whisperx[21].text |
經濟成長力其實很小而且在經濟成長力它在三月份的數值是大於在二月份調升的0.1%所以我們的經濟成長力在它這兒的估計是往上漲的物價是非常穩定的 |
transcript.whisperx[22].start |
432.512 |
transcript.whisperx[22].end |
446.863 |
transcript.whisperx[22].text |
你的預估我們希望你的預估是如你所講的啦好 謝謝我想這個本席昨天在這邊我們有我有詢問這個金管會的彭主委關於國內銀行對投資新南向國家企業的販款的動能 |
transcript.whisperx[23].start |
447.884 |
transcript.whisperx[23].end |
461.656 |
transcript.whisperx[23].text |
就今年前兩個月來看累積新增販款量是475億核准新社數也到達達標值的三分之二已達到全年目標728億元的65%市場上也認為2025年就全年有望達陣 |
transcript.whisperx[24].start |
470.163 |
transcript.whisperx[24].end |
486.611 |
transcript.whisperx[24].text |
那所以這些新南向國家如果現在如果也被列入為這個骯髒15國之內那勢必會受到這個整個美國政策變動及美國採取對等關稅的一個政策的導向之下 |
transcript.whisperx[25].start |
488.372 |
transcript.whisperx[25].end |
501.865 |
transcript.whisperx[25].text |
勢必會造成他們經濟放緩在這種情況之下就會影響當地企業的還款能力所以請問央行是否對於推進新南向的政策是否認為要調整 |
transcript.whisperx[26].start |
504.378 |
transcript.whisperx[26].end |
509.922 |
transcript.whisperx[26].text |
其實央行對於金融機構這邊基本上我們都會有一個相關的檢視的標準比如說資本市足利還有預放款金額預放率等等那至少到目前為止我想金管會那邊應該也有相關 |
transcript.whisperx[27].start |
526.656 |
transcript.whisperx[27].end |
547.702 |
transcript.whisperx[27].text |
是OK的我們了解是OK還沒發生嘛現在我只是說你要未來如果面對這個問題你要先做因應嘛所以我們新南向的政策未來的販款的信用的管制會不會有所管控這部分你也要做預你做一個相關的一個措施來對應好沒關係我想你你跟我講滾動式的檢討那個請經濟部好了經濟部次長請你再上來 |
transcript.whisperx[28].start |
554.285 |
transcript.whisperx[28].end |
569.779 |
transcript.whisperx[28].text |
如果假設真的被列入了15國我們這個新南向的這15個國家也被列入為這個骯髒15國之內它的經濟會放緩嗎那我們對它的一個這個整個我們投資新南向的政策會不會有所調整 |
transcript.whisperx[29].start |
571.961 |
transcript.whisperx[29].end |
597.277 |
transcript.whisperx[29].text |
報告委員因為新南向國家對美國有出超比較多的國家大概也就是像越南還有泰國等國我們新南向國家的印度也是新南向國家但是他跟美國也是有順差所以我們會因為現代經濟部採取的方向就是這個 |
transcript.whisperx[30].start |
600.322 |
transcript.whisperx[30].end |
611.838 |
transcript.whisperx[30].text |
鼓勵我們的廠商全球佈局過去曾經有鼓勵到新南向國家所以現在其實在歐洲中歐的這個地方面對這種川普這種政策不確定性 |
transcript.whisperx[31].start |
616.924 |
transcript.whisperx[31].end |
630.862 |
transcript.whisperx[31].text |
我是建議經濟部對於整個我們未來整個我們廠商的佈局要多元化的一個進行來降低整個我們投資的風險希望你們能夠儘早的做佈局以上 謝謝 |