| IVOD_ID |
159935 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159935 |
| 日期 |
2025-04-09 |
| 會議資料.會議代碼 |
委員會-11-3-19-7 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟委員會第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] |
19 |
| 會議資料.委員會代碼:str[0] |
經濟委員會 |
| 會議資料.標題 |
第11屆第3會期經濟委員會第7次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-04-09T10:04:51+08:00 |
| 結束時間 |
2025-04-09T10:18:50+08:00 |
| 影片長度 |
00:13:59 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdce43e52b82fe664193a0ce932bdb5123486e4b1f34053c89de43ba2ecc2b3ce5ba5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
鄭正鈐 |
| 委員發言時間 |
10:04:51 - 10:18:50 |
| 會議時間 |
2025-04-09T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟委員會第7次全體委員會議（事由：邀請經濟部部長及國家發展委員會主任委員就「國際經貿情勢變化，提出協助國內傳統產業及中小企業因應之對策」進行報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_02 |
| transcript.pyannote[0].start |
7.92846875 |
| transcript.pyannote[0].end |
11.92784375 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
22.28909375 |
| transcript.pyannote[1].end |
26.05221875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
26.74409375 |
| transcript.pyannote[2].end |
37.18971875 |
| transcript.pyannote[3].speaker |
SPEAKER_02 |
| transcript.pyannote[3].start |
37.71284375 |
| transcript.pyannote[3].end |
41.03721875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
42.13409375 |
| transcript.pyannote[4].end |
42.37034375 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
43.11284375 |
| transcript.pyannote[5].end |
44.02409375 |
| transcript.pyannote[6].speaker |
SPEAKER_02 |
| transcript.pyannote[6].start |
44.78346875 |
| transcript.pyannote[6].end |
48.25971875 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
49.13721875 |
| transcript.pyannote[7].end |
50.75721875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
50.89221875 |
| transcript.pyannote[8].end |
51.92159375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
54.68909375 |
| transcript.pyannote[9].end |
56.71409375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
56.98409375 |
| transcript.pyannote[10].end |
59.09346875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
59.56596875 |
| transcript.pyannote[11].end |
61.28721875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
62.14784375 |
| transcript.pyannote[12].end |
62.45159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
63.10971875 |
| transcript.pyannote[13].end |
69.97784375 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
68.93159375 |
| transcript.pyannote[14].end |
69.91034375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
69.97784375 |
| transcript.pyannote[15].end |
70.63596875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
70.63596875 |
| transcript.pyannote[16].end |
70.65284375 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
70.65284375 |
| transcript.pyannote[17].end |
70.92284375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
70.92284375 |
| transcript.pyannote[18].end |
70.97346875 |
| transcript.pyannote[19].speaker |
SPEAKER_02 |
| transcript.pyannote[19].start |
70.97346875 |
| transcript.pyannote[19].end |
74.44971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
71.05784375 |
| transcript.pyannote[20].end |
72.42471875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
72.44159375 |
| transcript.pyannote[21].end |
72.45846875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
72.54284375 |
| transcript.pyannote[22].end |
73.13346875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
73.36971875 |
| transcript.pyannote[23].end |
81.97596875 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
77.79096875 |
| transcript.pyannote[24].end |
78.04409375 |
| transcript.pyannote[25].speaker |
SPEAKER_02 |
| transcript.pyannote[25].start |
81.97596875 |
| transcript.pyannote[25].end |
114.13971875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
114.51096875 |
| transcript.pyannote[26].end |
125.44596875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
125.85096875 |
| transcript.pyannote[27].end |
137.24159375 |
| transcript.pyannote[28].speaker |
SPEAKER_02 |
| transcript.pyannote[28].start |
133.47846875 |
| transcript.pyannote[28].end |
133.51221875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
137.39346875 |
| transcript.pyannote[29].end |
139.16534375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
139.55346875 |
| transcript.pyannote[30].end |
140.29596875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
140.68409375 |
| transcript.pyannote[31].end |
142.96221875 |
| transcript.pyannote[32].speaker |
SPEAKER_02 |
| transcript.pyannote[32].start |
142.96221875 |
| transcript.pyannote[32].end |
150.37034375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
150.37034375 |
| transcript.pyannote[33].end |
151.68659375 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
151.68659375 |
| transcript.pyannote[34].end |
154.62284375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
151.77096875 |
| transcript.pyannote[35].end |
152.44596875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
155.19659375 |
| transcript.pyannote[36].end |
155.21346875 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
155.21346875 |
| transcript.pyannote[37].end |
161.17034375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
156.25971875 |
| transcript.pyannote[38].end |
157.08659375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
158.70659375 |
| transcript.pyannote[39].end |
163.41471875 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
162.30096875 |
| transcript.pyannote[40].end |
165.27096875 |
| transcript.pyannote[41].speaker |
SPEAKER_02 |
| transcript.pyannote[41].start |
165.87846875 |
| transcript.pyannote[41].end |
168.93284375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
168.39284375 |
| transcript.pyannote[42].end |
168.79784375 |
| transcript.pyannote[43].speaker |
SPEAKER_02 |
| transcript.pyannote[43].start |
169.18596875 |
| transcript.pyannote[43].end |
176.25659375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
169.45596875 |
| transcript.pyannote[44].end |
169.65846875 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
177.20159375 |
| transcript.pyannote[45].end |
177.79221875 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
178.41659375 |
| transcript.pyannote[46].end |
190.83659375 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
191.10659375 |
| transcript.pyannote[47].end |
195.96659375 |
| transcript.pyannote[48].speaker |
SPEAKER_02 |
| transcript.pyannote[48].start |
196.38846875 |
| transcript.pyannote[48].end |
198.83534375 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
199.10534375 |
| transcript.pyannote[49].end |
201.48471875 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
201.94034375 |
| transcript.pyannote[50].end |
246.62534375 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
247.26659375 |
| transcript.pyannote[51].end |
267.71909375 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
267.82034375 |
| transcript.pyannote[52].end |
271.17846875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
272.76471875 |
| transcript.pyannote[53].end |
273.13596875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
273.86159375 |
| transcript.pyannote[54].end |
287.69909375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
288.03659375 |
| transcript.pyannote[55].end |
294.75284375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
294.83721875 |
| transcript.pyannote[56].end |
304.97909375 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
302.41409375 |
| transcript.pyannote[57].end |
341.56409375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
341.64846875 |
| transcript.pyannote[58].end |
344.58471875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
344.58471875 |
| transcript.pyannote[59].end |
344.60159375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
345.42846875 |
| transcript.pyannote[60].end |
345.78284375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
346.45784375 |
| transcript.pyannote[61].end |
346.96409375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
347.60534375 |
| transcript.pyannote[62].end |
361.18971875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
352.88721875 |
| transcript.pyannote[63].end |
352.90409375 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
361.02096875 |
| transcript.pyannote[64].end |
385.03409375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
361.24034375 |
| transcript.pyannote[65].end |
361.49346875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
385.03409375 |
| transcript.pyannote[66].end |
387.53159375 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
388.39221875 |
| transcript.pyannote[67].end |
391.48034375 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
391.48034375 |
| transcript.pyannote[68].end |
401.03159375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
401.03159375 |
| transcript.pyannote[69].end |
402.14534375 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
402.63471875 |
| transcript.pyannote[70].end |
402.65159375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
402.65159375 |
| transcript.pyannote[71].end |
403.59659375 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
404.05221875 |
| transcript.pyannote[72].end |
404.72721875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
404.91284375 |
| transcript.pyannote[73].end |
411.00471875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
411.29159375 |
| transcript.pyannote[74].end |
415.83096875 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
415.86471875 |
| transcript.pyannote[75].end |
420.23534375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
420.94409375 |
| transcript.pyannote[76].end |
422.20971875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
421.72034375 |
| transcript.pyannote[77].end |
425.83784375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
427.35659375 |
| transcript.pyannote[78].end |
430.95096875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
431.49096875 |
| transcript.pyannote[79].end |
435.06846875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
435.30471875 |
| transcript.pyannote[80].end |
437.59971875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
437.93721875 |
| transcript.pyannote[81].end |
439.38846875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
440.01284375 |
| transcript.pyannote[82].end |
444.01221875 |
| transcript.pyannote[83].speaker |
SPEAKER_02 |
| transcript.pyannote[83].start |
440.21534375 |
| transcript.pyannote[83].end |
441.19409375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
444.11346875 |
| transcript.pyannote[84].end |
461.56221875 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
444.16409375 |
| transcript.pyannote[85].end |
444.97409375 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
448.18034375 |
| transcript.pyannote[86].end |
449.73284375 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
450.27284375 |
| transcript.pyannote[87].end |
451.28534375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
453.32721875 |
| transcript.pyannote[88].end |
453.76596875 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
460.75221875 |
| transcript.pyannote[89].end |
460.80284375 |
| transcript.pyannote[90].speaker |
SPEAKER_02 |
| transcript.pyannote[90].start |
460.81971875 |
| transcript.pyannote[90].end |
493.16909375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
493.81034375 |
| transcript.pyannote[91].end |
494.83971875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
495.36284375 |
| transcript.pyannote[92].end |
514.66784375 |
| transcript.pyannote[93].speaker |
SPEAKER_02 |
| transcript.pyannote[93].start |
498.58596875 |
| transcript.pyannote[93].end |
498.97409375 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
503.34471875 |
| transcript.pyannote[94].end |
507.91784375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
509.72346875 |
| transcript.pyannote[95].end |
510.07784375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
515.08971875 |
| transcript.pyannote[96].end |
515.10659375 |
| transcript.pyannote[97].speaker |
SPEAKER_02 |
| transcript.pyannote[97].start |
515.10659375 |
| transcript.pyannote[97].end |
516.01784375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
515.15721875 |
| transcript.pyannote[98].end |
516.00096875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
516.01784375 |
| transcript.pyannote[99].end |
516.03471875 |
| transcript.pyannote[100].speaker |
SPEAKER_02 |
| transcript.pyannote[100].start |
516.03471875 |
| transcript.pyannote[100].end |
516.10221875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
516.10221875 |
| transcript.pyannote[101].end |
516.96284375 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
516.96284375 |
| transcript.pyannote[102].end |
517.03034375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
517.03034375 |
| transcript.pyannote[103].end |
517.97534375 |
| transcript.pyannote[104].speaker |
SPEAKER_02 |
| transcript.pyannote[104].start |
517.97534375 |
| transcript.pyannote[104].end |
518.02596875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
518.02596875 |
| transcript.pyannote[105].end |
518.97096875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
518.97096875 |
| transcript.pyannote[106].end |
519.03846875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
519.03846875 |
| transcript.pyannote[107].end |
519.35909375 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
519.35909375 |
| transcript.pyannote[108].end |
520.03409375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
520.03409375 |
| transcript.pyannote[109].end |
520.11846875 |
| transcript.pyannote[110].speaker |
SPEAKER_02 |
| transcript.pyannote[110].start |
520.11846875 |
| transcript.pyannote[110].end |
520.43909375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
520.43909375 |
| transcript.pyannote[111].end |
520.45596875 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
520.45596875 |
| transcript.pyannote[112].end |
521.82284375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
520.65846875 |
| transcript.pyannote[113].end |
521.95784375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
522.27846875 |
| transcript.pyannote[114].end |
527.34096875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
527.50971875 |
| transcript.pyannote[115].end |
531.01971875 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
532.09971875 |
| transcript.pyannote[116].end |
533.97284375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
533.97284375 |
| transcript.pyannote[117].end |
535.59284375 |
| transcript.pyannote[118].speaker |
SPEAKER_02 |
| transcript.pyannote[118].start |
535.71096875 |
| transcript.pyannote[118].end |
540.80721875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
540.80721875 |
| transcript.pyannote[119].end |
544.04721875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
544.26659375 |
| transcript.pyannote[120].end |
544.40159375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
545.22846875 |
| transcript.pyannote[121].end |
545.86971875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
546.30846875 |
| transcript.pyannote[122].end |
548.97471875 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
548.97471875 |
| transcript.pyannote[123].end |
549.24471875 |
| transcript.pyannote[124].speaker |
SPEAKER_02 |
| transcript.pyannote[124].start |
549.64971875 |
| transcript.pyannote[124].end |
584.83409375 |
| transcript.pyannote[125].speaker |
SPEAKER_02 |
| transcript.pyannote[125].start |
585.30659375 |
| transcript.pyannote[125].end |
586.94346875 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
587.50034375 |
| transcript.pyannote[126].end |
594.75659375 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
594.75659375 |
| transcript.pyannote[127].end |
595.07721875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
595.33034375 |
| transcript.pyannote[128].end |
617.03159375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
614.66909375 |
| transcript.pyannote[129].end |
614.93909375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
617.08221875 |
| transcript.pyannote[130].end |
619.90034375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
620.20409375 |
| transcript.pyannote[131].end |
621.14909375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
622.07721875 |
| transcript.pyannote[132].end |
627.27471875 |
| transcript.pyannote[133].speaker |
SPEAKER_02 |
| transcript.pyannote[133].start |
627.00471875 |
| transcript.pyannote[133].end |
627.29159375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
627.29159375 |
| transcript.pyannote[134].end |
634.19346875 |
| transcript.pyannote[135].speaker |
SPEAKER_02 |
| transcript.pyannote[135].start |
631.08846875 |
| transcript.pyannote[135].end |
631.18971875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
634.31159375 |
| transcript.pyannote[136].end |
640.87596875 |
| transcript.pyannote[137].speaker |
SPEAKER_02 |
| transcript.pyannote[137].start |
634.42971875 |
| transcript.pyannote[137].end |
634.46346875 |
| transcript.pyannote[138].speaker |
SPEAKER_02 |
| transcript.pyannote[138].start |
634.48034375 |
| transcript.pyannote[138].end |
634.54784375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
634.54784375 |
| transcript.pyannote[139].end |
634.59846875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
640.97721875 |
| transcript.pyannote[140].end |
647.37284375 |
| transcript.pyannote[141].speaker |
SPEAKER_02 |
| transcript.pyannote[141].start |
647.37284375 |
| transcript.pyannote[141].end |
664.58534375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
647.65971875 |
| transcript.pyannote[142].end |
647.98034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
648.03096875 |
| transcript.pyannote[143].end |
648.21659375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
664.58534375 |
| transcript.pyannote[144].end |
664.61909375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
664.66971875 |
| transcript.pyannote[145].end |
664.97346875 |
| transcript.pyannote[146].speaker |
SPEAKER_02 |
| transcript.pyannote[146].start |
665.15909375 |
| transcript.pyannote[146].end |
665.17596875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
665.17596875 |
| transcript.pyannote[147].end |
665.73284375 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
666.12096875 |
| transcript.pyannote[148].end |
669.17534375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
669.73221875 |
| transcript.pyannote[149].end |
686.89409375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
680.14409375 |
| transcript.pyannote[150].end |
680.17784375 |
| transcript.pyannote[151].speaker |
SPEAKER_02 |
| transcript.pyannote[151].start |
680.17784375 |
| transcript.pyannote[151].end |
680.51534375 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
680.51534375 |
| transcript.pyannote[152].end |
680.54909375 |
| transcript.pyannote[153].speaker |
SPEAKER_02 |
| transcript.pyannote[153].start |
680.54909375 |
| transcript.pyannote[153].end |
680.56596875 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
680.56596875 |
| transcript.pyannote[154].end |
680.63346875 |
| transcript.pyannote[155].speaker |
SPEAKER_02 |
| transcript.pyannote[155].start |
682.62471875 |
| transcript.pyannote[155].end |
683.13096875 |
| transcript.pyannote[156].speaker |
SPEAKER_02 |
| transcript.pyannote[156].start |
685.83096875 |
| transcript.pyannote[156].end |
701.45721875 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
701.45721875 |
| transcript.pyannote[157].end |
708.49409375 |
| transcript.pyannote[158].speaker |
SPEAKER_02 |
| transcript.pyannote[158].start |
704.51159375 |
| transcript.pyannote[158].end |
704.68034375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
708.74721875 |
| transcript.pyannote[159].end |
712.05471875 |
| transcript.pyannote[160].speaker |
SPEAKER_00 |
| transcript.pyannote[160].start |
712.10534375 |
| transcript.pyannote[160].end |
713.65784375 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
714.23159375 |
| transcript.pyannote[161].end |
720.96471875 |
| transcript.pyannote[162].speaker |
SPEAKER_02 |
| transcript.pyannote[162].start |
720.96471875 |
| transcript.pyannote[162].end |
748.72409375 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
747.98159375 |
| transcript.pyannote[163].end |
751.87971875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
752.48721875 |
| transcript.pyannote[164].end |
794.97846875 |
| transcript.pyannote[165].speaker |
SPEAKER_02 |
| transcript.pyannote[165].start |
754.15784375 |
| transcript.pyannote[165].end |
755.10284375 |
| transcript.pyannote[166].speaker |
SPEAKER_02 |
| transcript.pyannote[166].start |
755.99721875 |
| transcript.pyannote[166].end |
757.92096875 |
| transcript.pyannote[167].speaker |
SPEAKER_02 |
| transcript.pyannote[167].start |
769.76721875 |
| transcript.pyannote[167].end |
770.08784375 |
| transcript.pyannote[168].speaker |
SPEAKER_02 |
| transcript.pyannote[168].start |
794.97846875 |
| transcript.pyannote[168].end |
804.09096875 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
804.09096875 |
| transcript.pyannote[169].end |
807.01034375 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
807.73596875 |
| transcript.pyannote[170].end |
808.03971875 |
| transcript.pyannote[171].speaker |
SPEAKER_02 |
| transcript.pyannote[171].start |
808.03971875 |
| transcript.pyannote[171].end |
808.12409375 |
| transcript.pyannote[172].speaker |
SPEAKER_00 |
| transcript.pyannote[172].start |
808.12409375 |
| transcript.pyannote[172].end |
810.16596875 |
| transcript.pyannote[173].speaker |
SPEAKER_02 |
| transcript.pyannote[173].start |
808.14096875 |
| transcript.pyannote[173].end |
809.45721875 |
| transcript.pyannote[174].speaker |
SPEAKER_02 |
| transcript.pyannote[174].start |
810.16596875 |
| transcript.pyannote[174].end |
810.33471875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
810.33471875 |
| transcript.pyannote[175].end |
810.92534375 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
811.21221875 |
| transcript.pyannote[176].end |
811.22909375 |
| transcript.pyannote[177].speaker |
SPEAKER_02 |
| transcript.pyannote[177].start |
811.22909375 |
| transcript.pyannote[177].end |
827.14221875 |
| transcript.pyannote[178].speaker |
SPEAKER_02 |
| transcript.pyannote[178].start |
827.42909375 |
| transcript.pyannote[178].end |
834.31409375 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
834.31409375 |
| transcript.pyannote[179].end |
834.80346875 |
| transcript.pyannote[180].speaker |
SPEAKER_02 |
| transcript.pyannote[180].start |
834.97221875 |
| transcript.pyannote[180].end |
838.33034375 |
| transcript.pyannote[181].speaker |
SPEAKER_01 |
| transcript.pyannote[181].start |
835.05659375 |
| transcript.pyannote[181].end |
835.46159375 |
| transcript.pyannote[182].speaker |
SPEAKER_02 |
| transcript.pyannote[182].start |
838.60034375 |
| transcript.pyannote[182].end |
838.97159375 |
| transcript.whisperx[0].start |
8.435 |
| transcript.whisperx[0].end |
11.513 |
| transcript.whisperx[0].text |
謝謝主席 我想請一下郭智慧部長還有劉靜清主委 |
| transcript.whisperx[1].start |
22.841 |
| transcript.whisperx[1].end |
48.059 |
| transcript.whisperx[1].text |
首先先請一下郭部長就是剛剛你有特別回憶一個狀態就是說因為在面對這個美國科30%關稅之後的時候我們有一個880億的一個因應計畫對不對你有特別提到說這880億是特別預算對不對是特別預算可是因為之前柯總早講說這880億是舊有預算所以它到底是特別預算還是舊有預算 |
| transcript.whisperx[2].start |
54.985 |
| transcript.whisperx[2].end |
60.817 |
| transcript.whisperx[2].text |
我們所了解的是特別預算是特別預算嘛所以基本上柯總召之前講的是不對的 |
| transcript.whisperx[3].start |
64.035 |
| transcript.whisperx[3].end |
86.136 |
| transcript.whisperx[3].text |
我們所了解的是 我想這個時間差啦這個預算跟特別預算是完全不一樣 之後要動用也完全不一樣的程序阿在講的那個部分 是不是時間上面的差異啦但是就這個預算來講就是特別預算ok 沒問題喔 特別預算那我們就知道說後續我們立法院這邊要怎麼去配合這件事情 |
| transcript.whisperx[4].start |
86.957 |
| transcript.whisperx[4].end |
111.587 |
| transcript.whisperx[4].text |
那我想另外再特別問一段話因為之前有商種有些企業界朋友他們回應說因為有些貨品現在在海運當中的時候那他們現在碰到4月9號之後課徵32%的關稅的時候可是有新的訊息出來就說如果4月9號之前已經裝船在5月27號之前抵達美國的部分的時候就不會課徵這32%具體的狀態是不是這樣經濟部這邊有沒有掌握 |
| transcript.whisperx[5].start |
114.668 |
| transcript.whisperx[5].end |
134.647 |
| transcript.whisperx[5].text |
報告委員是沒有錯啦就是說你4月9號on board的產品才會課徵這個32%的稅啦4月9號以前出貨從台灣出口的應該是這個具體是這樣的4月5號以前那適用的稅率就是原稅率4月5號到4月9號是加徵10%4月9號以後出貨的 |
| transcript.whisperx[6].start |
140.752 |
| transcript.whisperx[6].end |
157.443 |
| transcript.whisperx[6].text |
加32%所以是以出貨的時間為標準對不對所以4月9號之前裝船的話基本上就不苛徵這32%裝船的時間適用的稅率是嘛 OK所以只要在4月9號搬船4月9號裝船5月27號之前到達美國就不苛徵對不對在報關才能適用我看那個劉主委 |
| transcript.whisperx[7].start |
166.276 |
| transcript.whisperx[7].end |
190.615 |
| transcript.whisperx[7].text |
點頭點得很用力就確定是這樣的狀態嗎?確定那我想說接下來我想來針對這個部分因為我看到那個2017年我們整個出口的統計跟2024年出口的統計因為當中有一個很大的一個部分就是我們政府不斷推新南向這個政策可是我們看到2017年的時候呢 |
| transcript.whisperx[8].start |
191.635 |
| transcript.whisperx[8].end |
207.8 |
| transcript.whisperx[8].text |
對中國大陸跟港澳的一個貿易統計占台灣出口的31.68%出口到美國只占11.37%到去年的狀態的時候對大陸跟港澳的狀態出口是20.27%可是對美國這邊大幅的提高到18.15% |
| transcript.whisperx[9].start |
209.86 |
| transcript.whisperx[9].end |
229.899 |
| transcript.whisperx[9].text |
所以我們看到一個狀態就是在這段期間當中的時候呢在新南向在東南亞國家這邊其實比重沒有差距很大那對大陸這邊金額沒有差距很大可是比重大幅的下降表示我們對美國這邊的成長非常的多這個數字應該沒有錯吧我看都是按照整個政府這邊的一個統計數字 |
| transcript.whisperx[10].start |
231.36 |
| transcript.whisperx[10].end |
246.058 |
| transcript.whisperx[10].text |
那我想特別問到一個狀態因為在整個國發會這邊有特別提到說我們在整個非紅供應鏈這邊的時候逐漸形成新的商機嘛那政府也想要大力推動國內傳產中小企業進購相關能力拓展還會通路 |
| transcript.whisperx[11].start |
247.519 |
| transcript.whisperx[11].end |
270.97 |
| transcript.whisperx[11].text |
打造一個民主供應鏈我想特別講一個狀態就是說我們看到這個數字當中的時候呢就發現非紅供應鏈我們現在政府努力在做的狀態可是在這一次的關稅的一個大地震當中的時候其實並沒有倖免針對這個部分的時候我想請教一下國發會主委的時候你怎麼樣去看待我們接下來對於整個非紅供應鏈的一個建制 |
| transcript.whisperx[12].start |
274.122 |
| transcript.whisperx[12].end |
294.389 |
| transcript.whisperx[12].text |
陳如我剛才講的,其實美國佔全球進口大概是3.34%,大概全球的進口貿易還有86.66%在其他的國家。所以對我們而言,以台灣的經濟產業能量而言,其實我們還有很多其他的市場可以去發展。 |
| transcript.whisperx[13].start |
295.029 |
| transcript.whisperx[13].end |
309.081 |
| transcript.whisperx[13].text |
所以有這樣的機會我們希望利用這樣的機會協助廠商去發展讓他的整個風險管理跟這個市場更加的建立所以就是說飛鴻供應鏈這個部分我們還是持續在努力推動嘛原則上是這樣對不對對 |
| transcript.whisperx[14].start |
310.382 |
| transcript.whisperx[14].end |
325.24 |
| transcript.whisperx[14].text |
OK好沒問題那我想說在接下來我想特別提到說因為您剛剛也特別提到說我們有一個那個對美的一個溝通的談判小組也成立了那我想說針對比方說以目前來說台積電已經承諾到美國去投資1000億沒有問題那麼 |
| transcript.whisperx[15].start |
327.623 |
| transcript.whisperx[15].end |
344.462 |
| transcript.whisperx[15].text |
國防預算也承諾明年要提高到3%GDP是3%那麼經濟部這邊也表示我們要協助整個供應鏈赴美去投資然後總統也特別提到說零關稅那我們現在還有什麼樣的籌碼你覺得現在跟美國在談關稅的時候可以用得上的 |
| transcript.whisperx[16].start |
348.198 |
| transcript.whisperx[16].end |
360.632 |
| transcript.whisperx[16].text |
這個兩邊在談判的過程中我想籌碼是不可能攤出來給對方知道那就我的瞭解他是在我們行政院副院長的領導之下然後也他準備了非常完整的 |
| transcript.whisperx[17].start |
361.493 |
| transcript.whisperx[17].end |
387.019 |
| transcript.whisperx[17].text |
所以你說那個談判籌碼現在沒辦法講嘛我可以理解不過因為經濟部這邊有特別提到行政院已經完成了盤點對農工石油天然氣等產品大量採購計畫已經盤點完成那麼因為這一次的關稅很大一部分是因為貿易逆差的問題我想請教我們這樣一個大規模盤點之後的時候大概預計可以處理掉多少對美的貿易逆差順差的問題 |
| transcript.whisperx[18].start |
388.764 |
| transcript.whisperx[18].end |
403.012 |
| transcript.whisperx[18].text |
這個還是要由談判的人來進行談判因為經濟部的報告裡面有直接提到所以我想知道說我們這個已經完成盤點的這部分的時候大概可以減少多少的一個貿易順差我們只能講說 |
| transcript.whisperx[19].start |
404.353 |
| transcript.whisperx[19].end |
425.231 |
| transcript.whisperx[19].text |
這裡面經濟部是盤點了足夠的數字 其實我們各個不同 不只經濟部各個不同角度都有盤點那這個都是未來的籌碼 這個看談判的代表所產生的談判結果所以這個數字已經盤點完成也沒有辦法揭露 你的意思是這樣子嗎經濟部長 因為這是你的報告當中 你的意思也是這樣子嗎 |
| transcript.whisperx[20].start |
427.438 |
| transcript.whisperx[20].end |
443.557 |
| transcript.whisperx[20].text |
我們現在經濟部所揭露的是我們經濟部所包括的範圍之內但是這個是經濟部的這個金額我想之後行政院他們談判他們還有其他的資源 |
| transcript.whisperx[21].start |
444.418 |
| transcript.whisperx[21].end |
449.764 |
| transcript.whisperx[21].text |
因為你這邊講的行政院這邊已經談判好之後的時候我想之後到本辦公室我們來做這個細部的溝通我們內部這是可以調整的理解剛才像主委在講的就是說這個其實談判是在談判人員他們手上去溝通這個 |
| transcript.whisperx[22].start |
461.235 |
| transcript.whisperx[22].end |
477.887 |
| transcript.whisperx[22].text |
那我想因為剛剛有地震可是我發現就是郭部長跟劉主委其實還是非常穩健我們也希望這一次關稅的一個大地震的時候我們台灣能夠順利的一起度過不過我這邊想要再問一個問題就是因為川普他又特別提到一個情況 |
| transcript.whisperx[23].start |
478.667 |
| transcript.whisperx[23].end |
492.926 |
| transcript.whisperx[23].text |
就是說台積電如果沒有履行到美國去投資的一個承諾的時候他要對台積電課徵百分之百的關稅針對這個事情我想請教一下郭部長這邊有沒有掌握我們怎麼去因應這件事情 |
| transcript.whisperx[24].start |
493.951 |
| transcript.whisperx[24].end |
513.342 |
| transcript.whisperx[24].text |
報告委員我想您的那個訊息從哪裡來我們是不清楚啦到目前為止我是沒有收到這樣的一個訊息OK媒體已經有報導這樣出來今天早上媒體出來的訊息已經是投資的公司嘛所以在講說不會投資這個也是很奇怪的一個論述啦 |
| transcript.whisperx[25].start |
515.786 |
| transcript.whisperx[25].end |
543.948 |
| transcript.whisperx[25].text |
所以你剛剛講說你還不知道這個訊息因為這是今天早上一早的媒體的訊息所以我想說報告委員我想媒體的論述也有它的來源但是這個部分必須要由台積電他們自己來回答我的問題是川普因為他公開講如果沒有兌現的時候他就會課徵百分之百的關稅對啦我想這個就是看什麼時候嘛 |
| transcript.whisperx[26].start |
545.43 |
| transcript.whisperx[26].end |
571.231 |
| transcript.whisperx[26].text |
什麼時候那另外我想特別針對目前其實台灣的對美出口當中的時候以伺服器跟整個零組件佔的比重非常的高那當然他們目前其實是一個零關稅的一個情況那之後碰到32%的關稅的時候我想特別又把那個所有以伺服器為例我找了一下 |
| transcript.whisperx[27].start |
571.932 |
| transcript.whisperx[27].end |
586.668 |
| transcript.whisperx[27].text |
目前全球的十大伺服器的供應商台灣占四家啦那我一找他們的財報出來喔他們的一個淨利率淨利潤大概都低於5%基本上沒有辦法 |
| transcript.whisperx[28].start |
587.569 |
| transcript.whisperx[28].end |
607.905 |
| transcript.whisperx[28].text |
去支撐這麼高的一個關稅所以我們對於這樣子的部分的時候我想請教一下部長這邊有沒有什麼回應報告委員那我想您的資料的取得這個當然是一種參考不過這幾家公司大概都是做這個代工的是所以那個稅是這個自己原廠要付 |
| transcript.whisperx[29].start |
608.545 |
| transcript.whisperx[29].end |
620.642 |
| transcript.whisperx[29].text |
就是說今天可能是NVDA或者是這些公司包括COCOM這些公司他們或者是美插委這些公司他們要自己付是 所以你說關稅他們這邊都不用沒有問題 |
| transcript.whisperx[30].start |
622.313 |
| transcript.whisperx[30].end |
642.598 |
| transcript.whisperx[30].text |
這些我們都跟他們談過了伺服器所有的廠商我們都跟他們談過了他們認為32%對他們來講不是問題而且我們現在重點是我們自己的brand我們台灣的台廠那我也問過了你有多少的利潤大概對他們來講這個優勢商品利潤是高於32% |
| transcript.whisperx[31].start |
643.658 |
| transcript.whisperx[31].end |
664.343 |
| transcript.whisperx[31].text |
是高於32%優勢產品嘛因為我是看整個公司的財報啦那如果針對特定的優勢產品我當然相信他們毛利淨利率其實也是高於這個部分至於整個公司財報來說其實是不夠那你剛才有特別提到說針對這個部分的時候基本上買方的時候他會去把這個關稅的部分cover掉 |
| transcript.whisperx[32].start |
665.236 |
| transcript.whisperx[32].end |
680.38 |
| transcript.whisperx[32].text |
而且坦白講這些這一個部分也是我們廠商他們自己我們都盤過他們了也跟他們討論過了他們認為對他們來講包括他們是生產的基地不一定只有在台灣理解 |
| transcript.whisperx[33].start |
681.04 |
| transcript.whisperx[33].end |
707.396 |
| transcript.whisperx[33].text |
生產基地可能在墨西哥跟美國有一個美墨之間的稅條款所以你覺得因為台灣的出口當中很大一部分在針對伺服器跟ICT產品你覺得這個部分所以這關稅的部分對台灣的出口你覺得影響不會太大是這個意思嗎對 就是對伺服器或者台灣的優勢商品譬如說台灣什麼叫優勢商品 |
| transcript.whisperx[34].start |
709.177 |
| transcript.whisperx[34].end |
731.856 |
| transcript.whisperx[34].text |
舉個例像我們的汽車零組件Aftermarket大概就是獨佔所以這個Aftermarket你要買台灣的商品那對不起這個32%加上去你還是要準備OK 理解那我想說因為我看經濟部的資料當中有提到說我們前30大產品的時候大概佔對於出口美國大概72%我想知道說我們這30 |
| transcript.whisperx[35].start |
734.199 |
| transcript.whisperx[35].end |
751.177 |
| transcript.whisperx[35].text |
前30大的產品當中我們是不是有去針對它會受到這個關稅的一些影響像部長剛剛針對伺服器有一個很具體的說明就是不會受到影響我們前30大的產品是不是都有做這樣的一個分析跟評估不是不會受到影響而是這些影響 |
| transcript.whisperx[36].start |
752.857 |
| transcript.whisperx[36].end |
779.345 |
| transcript.whisperx[36].text |
廠商可以解決理解這是這個不同的理解 完全理解一定會受影響這麼高的這個關稅對我們台灣來講一定是影響只是我們對這個影響如何去解決如何把他這個影響轉到另外一個層級去然後大家來吸收或者是說他們可以承擔這些都是談判小組根據這個國內的能夠承受的程度 |
| transcript.whisperx[37].start |
779.945 |
| transcript.whisperx[37].end |
806.698 |
| transcript.whisperx[37].text |
对于跟美国谈判的一个非常重要的关键所以经济部的立场就是不断地来访问国内的这些厂商可能会受影响的厂商他们影响的程度是多少提供给谈判小组做参考所以我想知道说我们经济部针对前30大产品这边是不是也都有做类似伺服器这样的一个评估如果有之后再给本席一个很清楚的一个资料好不好我们现在因为在谈判中对不起这个部分可能 |
| transcript.whisperx[38].start |
807.796 |
| transcript.whisperx[38].end |
834.571 |
| transcript.whisperx[38].text |
可能要晚一點尊重那我最後這邊的時候想請國發會這邊因為有提到一個七大百億基金的部分在國發基金裡面那因為國發基金裡面本來就有針對這七大一個產業有一些相關的一些投資的一個計畫我想知道這七大百億基金當中的後續的一個操作會是怎麼樣子只有給本席一個書面的資料好不好好的 |
| transcript.whisperx[39].start |
835.091 |
| transcript.whisperx[39].end |
835.653 |
| transcript.whisperx[39].text |
OK好谢谢 |