| IVOD_ID |
159696 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159696 |
| 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 |
2025-03-27T10:50:36+08:00 |
| 結束時間 |
2025-03-27T11:02:49+08:00 |
| 影片長度 |
00:12:13 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db9002c10a25a8c58eb041a80f058510e45acb9e3eaef4bc7903379d122fef1d5156d5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴惠員 |
| 委員發言時間 |
10:50:36 - 11:02:49 |
| 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 |
1.29659375 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
1.80284375 |
| transcript.pyannote[1].end |
2.96721875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
5.02596875 |
| transcript.pyannote[2].end |
7.50659375 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
7.86096875 |
| transcript.pyannote[3].end |
8.36721875 |
| transcript.pyannote[4].speaker |
SPEAKER_02 |
| transcript.pyannote[4].start |
8.70471875 |
| transcript.pyannote[4].end |
9.43034375 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
11.10096875 |
| transcript.pyannote[5].end |
12.24846875 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
12.77159375 |
| transcript.pyannote[6].end |
13.19346875 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
13.64909375 |
| transcript.pyannote[7].end |
15.79221875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
13.83471875 |
| transcript.pyannote[8].end |
14.52659375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
15.89346875 |
| transcript.pyannote[9].end |
16.50096875 |
| transcript.pyannote[10].speaker |
SPEAKER_02 |
| transcript.pyannote[10].start |
16.50096875 |
| transcript.pyannote[10].end |
17.14221875 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
18.64409375 |
| transcript.pyannote[11].end |
25.51221875 |
| transcript.pyannote[12].speaker |
SPEAKER_02 |
| transcript.pyannote[12].start |
25.88346875 |
| transcript.pyannote[12].end |
29.24159375 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
29.68034375 |
| transcript.pyannote[13].end |
35.46846875 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
35.70471875 |
| transcript.pyannote[14].end |
48.61409375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
49.42409375 |
| transcript.pyannote[15].end |
55.58346875 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
55.06034375 |
| transcript.pyannote[16].end |
56.57909375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
57.54096875 |
| transcript.pyannote[17].end |
63.22784375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
63.41346875 |
| transcript.pyannote[18].end |
70.24784375 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
69.58971875 |
| transcript.pyannote[19].end |
76.18784375 |
| transcript.pyannote[20].speaker |
SPEAKER_02 |
| transcript.pyannote[20].start |
76.50846875 |
| transcript.pyannote[20].end |
85.11471875 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
86.16096875 |
| transcript.pyannote[21].end |
86.85284375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
88.10159375 |
| transcript.pyannote[22].end |
89.65409375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
89.16471875 |
| transcript.pyannote[23].end |
97.68659375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
99.28971875 |
| transcript.pyannote[24].end |
106.64721875 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
99.32346875 |
| transcript.pyannote[25].end |
99.74534375 |
| transcript.pyannote[26].speaker |
SPEAKER_02 |
| transcript.pyannote[26].start |
106.74846875 |
| transcript.pyannote[26].end |
116.26596875 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
116.33346875 |
| transcript.pyannote[27].end |
125.66534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
126.27284375 |
| transcript.pyannote[28].end |
132.80346875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
132.87096875 |
| transcript.pyannote[29].end |
140.16096875 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
138.89534375 |
| transcript.pyannote[30].end |
153.64409375 |
| transcript.pyannote[31].speaker |
SPEAKER_02 |
| transcript.pyannote[31].start |
153.71159375 |
| transcript.pyannote[31].end |
158.16659375 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
158.53784375 |
| transcript.pyannote[32].end |
162.30096875 |
| transcript.pyannote[33].speaker |
SPEAKER_02 |
| transcript.pyannote[33].start |
162.43596875 |
| transcript.pyannote[33].end |
169.45596875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
169.91159375 |
| transcript.pyannote[34].end |
178.66971875 |
| transcript.pyannote[35].speaker |
SPEAKER_02 |
| transcript.pyannote[35].start |
179.24346875 |
| transcript.pyannote[35].end |
183.74909375 |
| transcript.pyannote[36].speaker |
SPEAKER_02 |
| transcript.pyannote[36].start |
184.13721875 |
| transcript.pyannote[36].end |
210.19221875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
211.27221875 |
| transcript.pyannote[37].end |
220.08096875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
220.31721875 |
| transcript.pyannote[38].end |
228.04596875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
228.24846875 |
| transcript.pyannote[39].end |
254.45534375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
254.03346875 |
| transcript.pyannote[40].end |
257.74596875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
258.31971875 |
| transcript.pyannote[41].end |
264.12471875 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
264.59721875 |
| transcript.pyannote[42].end |
271.16159375 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
271.34721875 |
| transcript.pyannote[43].end |
279.83534375 |
| transcript.pyannote[44].speaker |
SPEAKER_02 |
| transcript.pyannote[44].start |
280.13909375 |
| transcript.pyannote[44].end |
299.05596875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
299.24159375 |
| transcript.pyannote[45].end |
306.51471875 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
307.17284375 |
| transcript.pyannote[46].end |
315.67784375 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
315.88034375 |
| transcript.pyannote[47].end |
320.77409375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
321.02721875 |
| transcript.pyannote[48].end |
329.24534375 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
330.29159375 |
| transcript.pyannote[49].end |
332.89034375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
334.39221875 |
| transcript.pyannote[50].end |
335.91096875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
336.11346875 |
| transcript.pyannote[51].end |
341.00721875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
341.07471875 |
| transcript.pyannote[52].end |
347.87534375 |
| transcript.pyannote[53].speaker |
SPEAKER_02 |
| transcript.pyannote[53].start |
347.87534375 |
| transcript.pyannote[53].end |
351.87471875 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
352.87034375 |
| transcript.pyannote[54].end |
355.46909375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
355.97534375 |
| transcript.pyannote[55].end |
359.77221875 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
361.62846875 |
| transcript.pyannote[56].end |
363.34971875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
363.43409375 |
| transcript.pyannote[57].end |
367.11284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
367.50096875 |
| transcript.pyannote[58].end |
370.36971875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
370.55534375 |
| transcript.pyannote[59].end |
371.70284375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
371.95596875 |
| transcript.pyannote[60].end |
375.02721875 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
375.49971875 |
| transcript.pyannote[61].end |
377.54159375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
375.56721875 |
| transcript.pyannote[62].end |
375.98909375 |
| transcript.pyannote[63].speaker |
SPEAKER_02 |
| transcript.pyannote[63].start |
377.94659375 |
| transcript.pyannote[63].end |
387.61596875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
388.45971875 |
| transcript.pyannote[64].end |
395.02409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
395.02409375 |
| transcript.pyannote[65].end |
396.54284375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
396.96471875 |
| transcript.pyannote[66].end |
398.68596875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
399.07409375 |
| transcript.pyannote[67].end |
401.58846875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
399.22596875 |
| transcript.pyannote[68].end |
407.24159375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
403.57971875 |
| transcript.pyannote[69].end |
404.01846875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
405.57096875 |
| transcript.pyannote[70].end |
405.87471875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
407.56221875 |
| transcript.pyannote[71].end |
411.07221875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
407.73096875 |
| transcript.pyannote[72].end |
408.01784375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
411.07221875 |
| transcript.pyannote[73].end |
411.56159375 |
| transcript.pyannote[74].speaker |
SPEAKER_02 |
| transcript.pyannote[74].start |
411.24096875 |
| transcript.pyannote[74].end |
411.34221875 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
412.64159375 |
| transcript.pyannote[75].end |
412.65846875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
412.65846875 |
| transcript.pyannote[76].end |
431.28846875 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
431.69346875 |
| transcript.pyannote[77].end |
432.90846875 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
433.00971875 |
| transcript.pyannote[78].end |
450.03659375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
437.88659375 |
| transcript.pyannote[79].end |
438.07221875 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
438.20721875 |
| transcript.pyannote[80].end |
438.67971875 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
438.74721875 |
| transcript.pyannote[81].end |
439.77659375 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
443.08409375 |
| transcript.pyannote[82].end |
444.06284375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
450.49221875 |
| transcript.pyannote[83].end |
452.11221875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
452.46659375 |
| transcript.pyannote[84].end |
456.95534375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
457.29284375 |
| transcript.pyannote[85].end |
458.55846875 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
458.89596875 |
| transcript.pyannote[86].end |
460.97159375 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
460.97159375 |
| transcript.pyannote[87].end |
485.71034375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
486.46971875 |
| transcript.pyannote[88].end |
488.27534375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
486.48659375 |
| transcript.pyannote[89].end |
487.54971875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
487.83659375 |
| transcript.pyannote[90].end |
488.19096875 |
| transcript.pyannote[91].speaker |
SPEAKER_01 |
| transcript.pyannote[91].start |
488.27534375 |
| transcript.pyannote[91].end |
489.40596875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
489.77721875 |
| transcript.pyannote[92].end |
508.96409375 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
491.24534375 |
| transcript.pyannote[93].end |
491.88659375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
508.96409375 |
| transcript.pyannote[94].end |
509.03159375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
509.03159375 |
| transcript.pyannote[95].end |
509.65596875 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
509.65596875 |
| transcript.pyannote[96].end |
509.70659375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
509.70659375 |
| transcript.pyannote[97].end |
509.75721875 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
509.75721875 |
| transcript.pyannote[98].end |
509.77409375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
509.77409375 |
| transcript.pyannote[99].end |
509.79096875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
510.01034375 |
| transcript.pyannote[100].end |
510.02721875 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
510.02721875 |
| transcript.pyannote[101].end |
537.61784375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
537.85409375 |
| transcript.pyannote[102].end |
548.87346875 |
| transcript.pyannote[103].speaker |
SPEAKER_02 |
| transcript.pyannote[103].start |
549.39659375 |
| transcript.pyannote[103].end |
560.12909375 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
560.50034375 |
| transcript.pyannote[104].end |
564.87096875 |
| transcript.pyannote[105].speaker |
SPEAKER_02 |
| transcript.pyannote[105].start |
565.56284375 |
| transcript.pyannote[105].end |
588.22596875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
588.54659375 |
| transcript.pyannote[106].end |
590.92596875 |
| transcript.pyannote[107].speaker |
SPEAKER_02 |
| transcript.pyannote[107].start |
592.07346875 |
| transcript.pyannote[107].end |
611.71596875 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
611.86784375 |
| transcript.pyannote[108].end |
612.50909375 |
| transcript.pyannote[109].speaker |
SPEAKER_02 |
| transcript.pyannote[109].start |
613.09971875 |
| transcript.pyannote[109].end |
616.74471875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
617.38596875 |
| transcript.pyannote[110].end |
626.83596875 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
627.00471875 |
| transcript.pyannote[111].end |
628.96221875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
628.96221875 |
| transcript.pyannote[112].end |
628.97909375 |
| transcript.pyannote[113].speaker |
SPEAKER_02 |
| transcript.pyannote[113].start |
629.60346875 |
| transcript.pyannote[113].end |
629.62034375 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
629.62034375 |
| transcript.pyannote[114].end |
632.20221875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
632.65784375 |
| transcript.pyannote[115].end |
650.29221875 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
648.75659375 |
| transcript.pyannote[116].end |
655.99596875 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
656.75534375 |
| transcript.pyannote[117].end |
657.02534375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
657.02534375 |
| transcript.pyannote[118].end |
657.49784375 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
657.64971875 |
| transcript.pyannote[119].end |
670.27221875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
670.99784375 |
| transcript.pyannote[120].end |
674.28846875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
674.38971875 |
| transcript.pyannote[121].end |
674.91284375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
675.84096875 |
| transcript.pyannote[122].end |
677.74784375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
677.98409375 |
| transcript.pyannote[123].end |
680.27909375 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
680.27909375 |
| transcript.pyannote[124].end |
685.03784375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
680.29596875 |
| transcript.pyannote[125].end |
681.29159375 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
685.25721875 |
| transcript.pyannote[126].end |
688.02471875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
688.02471875 |
| transcript.pyannote[127].end |
688.04159375 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
688.04159375 |
| transcript.pyannote[128].end |
688.31159375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
688.31159375 |
| transcript.pyannote[129].end |
714.01221875 |
| transcript.pyannote[130].speaker |
SPEAKER_02 |
| transcript.pyannote[130].start |
688.41284375 |
| transcript.pyannote[130].end |
689.34096875 |
| transcript.pyannote[131].speaker |
SPEAKER_02 |
| transcript.pyannote[131].start |
712.32471875 |
| transcript.pyannote[131].end |
713.97846875 |
| transcript.pyannote[132].speaker |
SPEAKER_02 |
| transcript.pyannote[132].start |
714.01221875 |
| transcript.pyannote[132].end |
724.10346875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
722.12909375 |
| transcript.pyannote[133].end |
722.50034375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
722.98971875 |
| transcript.pyannote[134].end |
723.07409375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
723.07409375 |
| transcript.pyannote[135].end |
725.52096875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
726.07784375 |
| transcript.pyannote[136].end |
727.12409375 |
| transcript.whisperx[0].start |
0.79 |
| transcript.whisperx[0].end |
12.963 |
| transcript.whisperx[0].text |
謝謝主席有請行政院經貿談判辦公室行政院的原副總裁不是 原總談判代表是 |
| transcript.whisperx[1].start |
18.683 |
| transcript.whisperx[1].end |
48.426 |
| transcript.whisperx[1].text |
我想今天的主題是探討那個因應就是川普對等的關稅那把我們國家被列入了骯髒15國的這個名單的策略那這個我聽這個之前就是我們幾個那個同事在講其實好像是回應那個經濟部那個長次的回應就是說還不見得就是我們是在這15席的一個骯髒國代表名單裡面到底是有還是沒有 |
| transcript.whisperx[2].start |
51.009 |
| transcript.whisperx[2].end |
67.166 |
| transcript.whisperx[2].text |
從美國官員的說法他只有講到15國但是他沒有提出具體國家的判斷那你認為有還是沒有我覺得我們可以先不去做研判但是我們可以去了解美國為什麼會提到要有這15國的概念也就是說貿易順差比較大 |
| transcript.whisperx[3].start |
67.628 |
| transcript.whisperx[3].end |
77.86 |
| transcript.whisperx[3].text |
以及關稅他認為有不公平的情況你是我們的談判代表嘛在我們對美國的順差這個739億這麼多的一個這個貿易的一個順差裡頭你認為我們會是這個15個骯髒果裡面的一個名單中間嗎 |
| transcript.whisperx[4].start |
88.154 |
| transcript.whisperx[4].end |
95.219 |
| transcript.whisperx[4].text |
我們如果純粹你不要閃避啊如果你連這個都在閃避的話那怎麼談得下去呢今天那個賴昭偉這一個議題就假議題啦 |
| transcript.whisperx[5].start |
100.409 |
| transcript.whisperx[5].end |
125.516 |
| transcript.whisperx[5].text |
謝謝委員從貿易順差的這個絕對數字我們當然是排名是在前面的這些國家所以我們也做好了這些準備也做好了很多的一個模擬就是不管任何的一個政策上需要調整的還是就是說不管是任何的一個關稅的一個調整是不是就是說大家其實已經都不斷的就是在做這樣的一個準備了 |
| transcript.whisperx[6].start |
126.488 |
| transcript.whisperx[6].end |
153.337 |
| transcript.whisperx[6].text |
對我們經貿辦跟這個各部會實際上都在這個台美經貿工作小組裡面進行密集的討論那所以各種的情境我們都已經有做過模擬然後以及可能會有哪一些因應的方案是嗎因為我們也知道就是說從川普就是當選了以後其實我們整個財政委員會就是在上個會期裡頭我們就都一直在關注就是也一直就是緩和的在跟行政院在跟財政部 |
| transcript.whisperx[7].start |
153.917 |
| transcript.whisperx[7].end |
178.254 |
| transcript.whisperx[7].text |
甚至金管會就是不斷的在討論因為這個實在是事關重大那短期它造成那個全球的股市的一個波動那間接的也影響到我們的國家在未來的五年十年甚至二十年的一個發展的一個方向那川普引發世界這麼大的一個變局那我們台灣政府當然是嚴正以待啊因為我們就是賺了人家那麼多的錢啊 |
| transcript.whisperx[8].start |
179.275 |
| transcript.whisperx[8].end |
206.469 |
| transcript.whisperx[8].text |
那不可能就是說這個川普的態度川普他就是一個生意人啊他或許他認為他認為我先把這個美國的整個經濟狀況我要你們來投資啊那剛才我聽了很多就是官員的一個回覆大家就是說尤其是萊斯堡委員他每一次他只要質詢我都很認真的在聽他把大家帶向的就是說你要怎麼補這個七八三十九億啊 |
| transcript.whisperx[9].start |
206.95 |
| transcript.whisperx[9].end |
209.788 |
| transcript.whisperx[9].text |
我們台積電不是去了投資了一千億的嗎 |
| transcript.whisperx[10].start |
212.029 |
| transcript.whisperx[10].end |
237.612 |
| transcript.whisperx[10].text |
那這樣子的話我們還必須要再去補那個739嗎怎麼會是這樣子呢那你們就不用談判了啊是不是這樣子跟委員報告就是我覺得美國現在如同我剛一開始有提到美國現在訴求的是所謂經濟安全跟國家安全所以第一個部分他希望台積電去多投資是他考量到晶片的這些供應鏈安全那可是至於他認為說在這個公平的 |
| transcript.whisperx[11].start |
238.112 |
| transcript.whisperx[11].end |
257.45 |
| transcript.whisperx[11].text |
所谓对等关税这个议题是希望美国可以多出口来增加他自己美国本身的就业市场那所以就这个部分呢我想台积电的投资确实有强化了我们台美的未来在贸易谈判的良好的一个气氛的基础是吗我想这个副总代表你知道就是说 |
| transcript.whisperx[12].start |
258.371 |
| transcript.whisperx[12].end |
275.518 |
| transcript.whisperx[12].text |
在近期尤其在昨天我們給他看了以前的一個黃金是已經到了那個一萬兩千塊這個跟過年前其實是有很大的一個差別黃金大漲了那這個一盎司三千美元的這個黃金其實大概就是說 |
| transcript.whisperx[13].start |
276.618 |
| transcript.whisperx[13].end |
300.587 |
| transcript.whisperx[13].text |
也給這個市場帶動了一個很大的一個震撼那川普引發世界上的一個變局你看我們從這個漫畫裡頭我們看得出來就是說他這一顆大石頭他已經就是從山上那個下來了他其實在考驗的就是全世界每一個國家你是不是可以好好的來面對了這些經濟上的一個議題那我想請問你這個美國人 |
| transcript.whisperx[14].start |
303.268 |
| transcript.whisperx[14].end |
332.657 |
| transcript.whisperx[14].text |
就是非常愛消費非常愛買東西那全世界4%的人口美國佔了全世界4%的人口可是他消費了全世界20%的一個產品喔所以美國人是非常愛買的一個那個國家那這樣子到底川普是在製造一場經濟上的一個衰退還是經濟上的一個提升啊那代表你怎麼看他就講美國現階段你看川普 |
| transcript.whisperx[15].start |
334.431 |
| transcript.whisperx[15].end |
359.213 |
| transcript.whisperx[15].text |
好謝謝委員的這個問題我們經貿辦經貿辦沒有對這個所謂的整體的經濟情勢來做分析所以基本上可能這個會由我們其他的主政單位來說明會比較恰當那但是我們當然知道說你沒有看整個全世界的這個經濟的話你怎麼去談判啊怎麼會是這樣子的一個回答的問題咧對所以我想補充我請教你你讓我問誰 |
| transcript.whisperx[16].start |
361.65 |
| transcript.whisperx[16].end |
387.347 |
| transcript.whisperx[16].text |
我來問誰是比較恰當的我想整體的經濟情勢的這個預估或展望或許我剛剛我有聽到我們的央行這邊可能有提出一個比較整體性的一個說明所以我要問央行的副總裁就是全球的經濟的一個不確定性到底你要怎麼面對的這個全球的不確定性經濟的不確定性好來副總裁你來回答 |
| transcript.whisperx[17].start |
388.513 |
| transcript.whisperx[17].end |
405.822 |
| transcript.whisperx[17].text |
我想那個代表你這樣的一個談判態度是讓人家擔心的其實台灣本身我們的競爭的實力在全世界很好我是執政黨的委員換寬欣來我讓你們盡量多講我這個Line不是Line是寶那個Line |
| transcript.whisperx[18].start |
414.248 |
| transcript.whisperx[18].end |
427.725 |
| transcript.whisperx[18].text |
其實我剛才已經在強調全世界現在有關於對川普不確定性大家不是很清楚怎麼樣可是就他們設定的不管是什麼樣的參數我們現在看到的他對於 |
| transcript.whisperx[19].start |
433.25 |
| transcript.whisperx[19].end |
444.013 |
| transcript.whisperx[19].text |
這個全球經濟的影響至少對台灣這個部分所以它的衰退已經非常的明顯了我們看得到了剛才看到的就是說看我們那個圖形就看到很多國家都是被調降經濟成長率噴霍膨脹率是上升 |
| transcript.whisperx[20].start |
453.256 |
| transcript.whisperx[20].end |
462.846 |
| transcript.whisperx[20].text |
央行是非常少數經濟成長率上升的一個國家如果我們這個骯髒的15國裡頭我們用高關稅還是高貿易就是它的一個 |
| transcript.whisperx[21].start |
469.692 |
| transcript.whisperx[21].end |
485.437 |
| transcript.whisperx[21].text |
變成就是說它的一個排序來看的話那有沒有比較明顯的就是說在你的經驗裡頭哪一個是比較明顯的作為代表這個骯髒的十五國它是用高關稅還是用高貿易額來做這個排序呢 |
| transcript.whisperx[22].start |
486.553 |
| transcript.whisperx[22].end |
509.371 |
| transcript.whisperx[22].text |
我想他應該是用高貿易額對因為基本上我們在關稅上剛才已經看到平均的那個稅率我們是低的只有農產品是例外所以應該是關鍵指標中那個貿易額這一個部分是比較可能的 |
| transcript.whisperx[23].start |
510.331 |
| transcript.whisperx[23].end |
539.251 |
| transcript.whisperx[23].text |
對 沒有錯嘛你看嘛這個美國前20大的一個貿易入鈔的國家跟美國之間的一個關稅差距我們在2023年做出來的就是說美國的加權平均關稅率是1.7那就低於台灣的台灣的加權平均關稅是1.7低於美國的2.2那如果是簡單的平均關稅6.5的話卻高於美國的3.3這個非常清楚啊所以我在想 |
| transcript.whisperx[24].start |
540.331 |
| transcript.whisperx[24].end |
561.166 |
| transcript.whisperx[24].text |
如果我們用這樣子我們從央行的報告裡頭我們可以看到了兩個重點這兩個重點的話就是說到底台美的那個關稅的一個差距來講剛才就我特別講到了就是這個差距是1.7%比美國那個就是就是的2.2%還低0.5個百分點 |
| transcript.whisperx[25].start |
565.969 |
| transcript.whisperx[25].end |
590.321 |
| transcript.whisperx[25].text |
這樣子的話你是不是就是說我們財政委員會一直在關注一個問題就是在這個會期的那個初期的時候我在總質詢裡頭特別請教了行政院長那你可以不可以說明就是說在這個當然這個是台美經濟貿易的一個對談小組可是顯然大家大家都非常的保守就是說 |
| transcript.whisperx[26].start |
592.43 |
| transcript.whisperx[26].end |
616.515 |
| transcript.whisperx[26].text |
你們應該是要把這一個就是說你們去看了然後去對談了到什麼樣的一個層級可以講到什麼樣的一個對話應該讓我們知道可是我們也知道就是說可能礙於就是說有一些有一些條件上你們沒有辦法就是很明確的講出來所以總裁那個副總裁我覺得我還是要在 |
| transcript.whisperx[27].start |
617.635 |
| transcript.whisperx[27].end |
628.291 |
| transcript.whisperx[27].text |
請教你一個問題就是你因應就是說這整個經濟可能會面臨到了一個退化的一個狀況的時候那你的台幣會升還是會貶其實剛才這個 |
| transcript.whisperx[28].start |
632.737 |
| transcript.whisperx[28].end |
655.127 |
| transcript.whisperx[28].text |
我們也都談到央行基本上匯率是由市場決定只有在一些突發因素考慮市場穩定性會進場一下讓它平衡所以我們看到金台幣匯率相對其他國家匯率不得下你覺得近期就是美債一直在降一直在衰退那你台幣會不會調 |
| transcript.whisperx[29].start |
658.705 |
| transcript.whisperx[29].end |
661.947 |
| transcript.whisperx[29].text |
應該是這樣子這三個月台幣會不會調我覺得影響資金移動的應該是現在美國跟台灣股市之間的凝動關係外資 |
| transcript.whisperx[30].start |
675.905 |
| transcript.whisperx[30].end |
685.936 |
| transcript.whisperx[30].text |
把他過去的獲利等等他匯了一大部分出去所以你認為說現在其實是在盤整所以你的台幣台幣是匯升還是匯降 |
| transcript.whisperx[31].start |
691.161 |
| transcript.whisperx[31].end |
719.96 |
| transcript.whisperx[31].text |
移動怎麼樣他也是因為市場波動跟著去調整那最近波動比較大是外資匯出可是外資也會反過來匯進台灣那時候整個方向又是相反的所以基本上我們並沒有一個定向的說一定貶值升值要看市場情況副總裁我是執政黨的委員你要多利用我們的質詢裡頭多講一些比較正向的不要閃不要躲 |
| transcript.whisperx[32].start |
721.101 |
| transcript.whisperx[32].end |
722.786 |
| transcript.whisperx[32].text |
謝謝 謝謝主席好 謝謝你謝謝賴召惠警察的資訊我們休息十分鐘 |