| IVOD_ID |
160208 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160208 |
| 日期 |
2025-04-16 |
| 會議資料.會議代碼 |
委員會-11-3-19-9 |
| 會議資料.會議代碼:str |
第11屆第3會期經濟委員會第9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 |
9 |
| 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9次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-04-16T10:51:19+08:00 |
| 結束時間 |
2025-04-16T11:01:26+08:00 |
| 影片長度 |
00:10:07 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f9d2e74df98279df33d43b174e557a5ab2710058b23c04f8ebda33721556222a3f1c478c5b52ad615ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
謝衣鳯 |
| 委員發言時間 |
10:51:19 - 11:01:26 |
| 會議時間 |
2025-04-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期經濟委員會第9次全體委員會議議程（事由：邀請國家發展委員會主任委員、經濟部部長及財政部首長就「因應國際貿易情勢變化，如何協助國內廠商擴大國際市場」進行報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
8.63721875 |
| transcript.pyannote[0].end |
15.85971875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
20.61846875 |
| transcript.pyannote[1].end |
28.38096875 |
| transcript.pyannote[2].speaker |
SPEAKER_02 |
| transcript.pyannote[2].start |
28.24596875 |
| transcript.pyannote[2].end |
31.06409375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
29.47784375 |
| transcript.pyannote[3].end |
29.91659375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
30.47346875 |
| transcript.pyannote[4].end |
33.22409375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
34.38846875 |
| transcript.pyannote[5].end |
51.76971875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
52.12409375 |
| transcript.pyannote[6].end |
53.33909375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
54.16596875 |
| transcript.pyannote[7].end |
62.36721875 |
| transcript.pyannote[8].speaker |
SPEAKER_02 |
| transcript.pyannote[8].start |
62.58659375 |
| transcript.pyannote[8].end |
63.07596875 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
63.27846875 |
| transcript.pyannote[9].end |
73.58909375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
68.25659375 |
| transcript.pyannote[10].end |
68.49284375 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
73.74096875 |
| transcript.pyannote[11].end |
95.29034375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
80.65971875 |
| transcript.pyannote[12].end |
80.77784375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
80.87909375 |
| transcript.pyannote[13].end |
81.08159375 |
| transcript.pyannote[14].speaker |
SPEAKER_02 |
| transcript.pyannote[14].start |
96.13409375 |
| transcript.pyannote[14].end |
122.57721875 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
122.96534375 |
| transcript.pyannote[15].end |
129.07409375 |
| transcript.pyannote[16].speaker |
SPEAKER_02 |
| transcript.pyannote[16].start |
129.64784375 |
| transcript.pyannote[16].end |
139.77284375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
135.95909375 |
| transcript.pyannote[17].end |
136.34721875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
140.46471875 |
| transcript.pyannote[18].end |
155.95596875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
156.54659375 |
| transcript.pyannote[19].end |
161.10284375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
161.23784375 |
| transcript.pyannote[20].end |
173.74221875 |
| transcript.pyannote[21].speaker |
SPEAKER_02 |
| transcript.pyannote[21].start |
174.23159375 |
| transcript.pyannote[21].end |
183.12471875 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
183.42846875 |
| transcript.pyannote[22].end |
188.13659375 |
| transcript.pyannote[23].speaker |
SPEAKER_02 |
| transcript.pyannote[23].start |
188.33909375 |
| transcript.pyannote[23].end |
195.96659375 |
| transcript.pyannote[24].speaker |
SPEAKER_02 |
| transcript.pyannote[24].start |
196.21971875 |
| transcript.pyannote[24].end |
199.86471875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
200.15159375 |
| transcript.pyannote[25].end |
203.22284375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
203.47596875 |
| transcript.pyannote[26].end |
206.64846875 |
| transcript.pyannote[27].speaker |
SPEAKER_02 |
| transcript.pyannote[27].start |
206.85096875 |
| transcript.pyannote[27].end |
215.33909375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
215.33909375 |
| transcript.pyannote[28].end |
215.69346875 |
| transcript.pyannote[29].speaker |
SPEAKER_02 |
| transcript.pyannote[29].start |
215.40659375 |
| transcript.pyannote[29].end |
215.42346875 |
| transcript.pyannote[30].speaker |
SPEAKER_02 |
| transcript.pyannote[30].start |
215.54159375 |
| transcript.pyannote[30].end |
221.00909375 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
222.05534375 |
| transcript.pyannote[31].end |
225.64971875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
225.95346875 |
| transcript.pyannote[32].end |
227.89409375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
228.51846875 |
| transcript.pyannote[33].end |
229.02471875 |
| transcript.pyannote[34].speaker |
SPEAKER_02 |
| transcript.pyannote[34].start |
229.53096875 |
| transcript.pyannote[34].end |
229.91909375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
230.10471875 |
| transcript.pyannote[35].end |
231.25221875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
231.38721875 |
| transcript.pyannote[36].end |
236.02784375 |
| transcript.pyannote[37].speaker |
SPEAKER_02 |
| transcript.pyannote[37].start |
236.41596875 |
| transcript.pyannote[37].end |
243.16596875 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
243.23346875 |
| transcript.pyannote[38].end |
243.26721875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
243.26721875 |
| transcript.pyannote[39].end |
243.53721875 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
243.46971875 |
| transcript.pyannote[40].end |
249.35909375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
249.74721875 |
| transcript.pyannote[41].end |
251.09721875 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
251.09721875 |
| transcript.pyannote[42].end |
268.86659375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
262.77471875 |
| transcript.pyannote[43].end |
263.06159375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
268.86659375 |
| transcript.pyannote[44].end |
292.82909375 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
271.21221875 |
| transcript.pyannote[45].end |
272.00534375 |
| transcript.pyannote[46].speaker |
SPEAKER_02 |
| transcript.pyannote[46].start |
273.42284375 |
| transcript.pyannote[46].end |
276.39284375 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
278.63721875 |
| transcript.pyannote[47].end |
280.34159375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
292.96409375 |
| transcript.pyannote[48].end |
305.08034375 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
304.99596875 |
| transcript.pyannote[49].end |
334.76346875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
335.11784375 |
| transcript.pyannote[50].end |
358.62471875 |
| transcript.pyannote[51].speaker |
SPEAKER_02 |
| transcript.pyannote[51].start |
335.74221875 |
| transcript.pyannote[51].end |
336.28221875 |
| transcript.pyannote[52].speaker |
SPEAKER_02 |
| transcript.pyannote[52].start |
338.77971875 |
| transcript.pyannote[52].end |
339.06659375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
342.82971875 |
| transcript.pyannote[53].end |
342.96471875 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
342.96471875 |
| transcript.pyannote[54].end |
343.40346875 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
343.40346875 |
| transcript.pyannote[55].end |
345.83346875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
347.53784375 |
| transcript.pyannote[56].end |
348.06096875 |
| transcript.pyannote[57].speaker |
SPEAKER_01 |
| transcript.pyannote[57].start |
352.58346875 |
| transcript.pyannote[57].end |
353.19096875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
354.27096875 |
| transcript.pyannote[58].end |
354.52409375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
359.89034375 |
| transcript.pyannote[59].end |
360.56534375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
365.61096875 |
| transcript.pyannote[60].end |
368.96909375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
369.35721875 |
| transcript.pyannote[61].end |
370.36971875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
371.29784375 |
| transcript.pyannote[62].end |
373.32284375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
373.98096875 |
| transcript.pyannote[63].end |
377.23784375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
377.50784375 |
| transcript.pyannote[64].end |
379.51596875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
379.87034375 |
| transcript.pyannote[65].end |
388.25721875 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
388.32471875 |
| transcript.pyannote[66].end |
398.61846875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
398.61846875 |
| transcript.pyannote[67].end |
399.09096875 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
399.09096875 |
| transcript.pyannote[68].end |
411.51096875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
411.81471875 |
| transcript.pyannote[69].end |
425.58471875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
425.61846875 |
| transcript.pyannote[70].end |
429.60096875 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
430.15784375 |
| transcript.pyannote[71].end |
437.86971875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
438.44346875 |
| transcript.pyannote[72].end |
445.51409375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
447.50534375 |
| transcript.pyannote[73].end |
451.01534375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
449.66534375 |
| transcript.pyannote[74].end |
455.30159375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
451.92659375 |
| transcript.pyannote[75].end |
452.50034375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
453.22596875 |
| transcript.pyannote[76].end |
453.86721875 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
457.00596875 |
| transcript.pyannote[77].end |
458.23784375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
458.65971875 |
| transcript.pyannote[78].end |
459.68909375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
460.11096875 |
| transcript.pyannote[79].end |
463.23284375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
463.58721875 |
| transcript.pyannote[80].end |
464.00909375 |
| transcript.pyannote[81].speaker |
SPEAKER_02 |
| transcript.pyannote[81].start |
464.90346875 |
| transcript.pyannote[81].end |
465.91596875 |
| transcript.pyannote[82].speaker |
SPEAKER_02 |
| transcript.pyannote[82].start |
467.92409375 |
| transcript.pyannote[82].end |
467.95784375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
467.95784375 |
| transcript.pyannote[83].end |
467.97471875 |
| transcript.pyannote[84].speaker |
SPEAKER_02 |
| transcript.pyannote[84].start |
467.97471875 |
| transcript.pyannote[84].end |
468.53159375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
468.53159375 |
| transcript.pyannote[85].end |
470.03346875 |
| transcript.pyannote[86].speaker |
SPEAKER_02 |
| transcript.pyannote[86].start |
468.58221875 |
| transcript.pyannote[86].end |
468.83534375 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
468.83534375 |
| transcript.pyannote[87].end |
468.90284375 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
468.90284375 |
| transcript.pyannote[88].end |
468.97034375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
468.97034375 |
| transcript.pyannote[89].end |
469.17284375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
469.24034375 |
| transcript.pyannote[90].end |
469.42596875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
470.16846875 |
| transcript.pyannote[91].end |
470.82659375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
472.54784375 |
| transcript.pyannote[92].end |
473.23971875 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
473.23971875 |
| transcript.pyannote[93].end |
473.27346875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
474.30284375 |
| transcript.pyannote[94].end |
484.69784375 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
481.39034375 |
| transcript.pyannote[95].end |
481.99784375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
485.71034375 |
| transcript.pyannote[96].end |
487.12784375 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
488.41034375 |
| transcript.pyannote[97].end |
491.73471875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
492.15659375 |
| transcript.pyannote[98].end |
493.89471875 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
494.90721875 |
| transcript.pyannote[99].end |
501.21846875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
501.42096875 |
| transcript.pyannote[100].end |
502.31534375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
502.48409375 |
| transcript.pyannote[101].end |
503.09159375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
503.42909375 |
| transcript.pyannote[102].end |
510.26346875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
510.71909375 |
| transcript.pyannote[103].end |
511.64721875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
512.59221875 |
| transcript.pyannote[104].end |
516.42284375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
517.38471875 |
| transcript.pyannote[105].end |
518.97096875 |
| transcript.pyannote[106].speaker |
SPEAKER_02 |
| transcript.pyannote[106].start |
518.05971875 |
| transcript.pyannote[106].end |
532.48784375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
526.42971875 |
| transcript.pyannote[107].end |
526.95284375 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
532.65659375 |
| transcript.pyannote[108].end |
542.69721875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
542.56221875 |
| transcript.pyannote[109].end |
547.40534375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
547.69221875 |
| transcript.pyannote[110].end |
552.01221875 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
547.72596875 |
| transcript.pyannote[111].end |
548.26596875 |
| transcript.pyannote[112].speaker |
SPEAKER_02 |
| transcript.pyannote[112].start |
551.89409375 |
| transcript.pyannote[112].end |
554.57721875 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
554.39159375 |
| transcript.pyannote[113].end |
554.67846875 |
| transcript.pyannote[114].speaker |
SPEAKER_02 |
| transcript.pyannote[114].start |
554.67846875 |
| transcript.pyannote[114].end |
564.41534375 |
| transcript.pyannote[115].speaker |
SPEAKER_02 |
| transcript.pyannote[115].start |
564.66846875 |
| transcript.pyannote[115].end |
571.50284375 |
| transcript.pyannote[116].speaker |
SPEAKER_02 |
| transcript.pyannote[116].start |
571.75596875 |
| transcript.pyannote[116].end |
576.43034375 |
| transcript.pyannote[117].speaker |
SPEAKER_02 |
| transcript.pyannote[117].start |
576.46409375 |
| transcript.pyannote[117].end |
576.48096875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
576.48096875 |
| transcript.pyannote[118].end |
581.96534375 |
| transcript.pyannote[119].speaker |
SPEAKER_02 |
| transcript.pyannote[119].start |
579.78846875 |
| transcript.pyannote[119].end |
583.21409375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
583.36596875 |
| transcript.pyannote[120].end |
586.38659375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
587.16284375 |
| transcript.pyannote[121].end |
587.75346875 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
588.41159375 |
| transcript.pyannote[122].end |
589.64346875 |
| transcript.pyannote[123].speaker |
SPEAKER_02 |
| transcript.pyannote[123].start |
589.86284375 |
| transcript.pyannote[123].end |
602.83971875 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
596.41034375 |
| transcript.pyannote[124].end |
596.83221875 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
603.36284375 |
| transcript.pyannote[125].end |
603.44721875 |
| transcript.pyannote[126].speaker |
SPEAKER_02 |
| transcript.pyannote[126].start |
603.44721875 |
| transcript.pyannote[126].end |
603.48096875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
603.48096875 |
| transcript.pyannote[127].end |
603.68346875 |
| transcript.pyannote[128].speaker |
SPEAKER_02 |
| transcript.pyannote[128].start |
603.68346875 |
| transcript.pyannote[128].end |
605.10096875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
604.37534375 |
| transcript.pyannote[129].end |
604.96596875 |
| transcript.whisperx[0].start |
9.006 |
| transcript.whisperx[0].end |
30.699 |
| transcript.whisperx[0].text |
謝謝主席 我想要請國發會的劉主委跟財政部的理事長請劉主委 理事長主委 你剛才在報告的時候 你有提到就是美國其實占全球市場只有大概是1.3成左右進口的市場 貨品進口 不含服務 |
| transcript.whisperx[1].start |
34.631 |
| transcript.whisperx[1].end |
52.999 |
| transcript.whisperx[1].text |
這是財政部的資料嘛 沒有錯嘛那我國對主要國家出口的金額我們看到了是中國大陸 美國還有東協佔前三名嘛那第一名就是中國大陸那在我們不要 |
| transcript.whisperx[2].start |
54.212 |
| transcript.whisperx[2].end |
73.272 |
| transcript.whisperx[2].text |
就是中國大陸與美國的其他市場請問劉主委我們應該從哪裡來擴大我國的出口市場跟委員報告其實全球的市場是在滾動的在不同的國家在不同的時間會有不同的建設跟不同的方案 |
| transcript.whisperx[3].start |
74.293 |
| transcript.whisperx[3].end |
94.454 |
| transcript.whisperx[3].text |
譬如說在五年前美國對於這個智慧醫療非常的重視那個市場就會起來那智慧醫療補助結束市場就會下去那歐洲其實在這幾年在通訊上面會起來那包括最近像以攻擊力最近比較大的市場會比較崛起的市場是印度跟土耳其那其實 |
| transcript.whisperx[4].start |
96.32 |
| transcript.whisperx[4].end |
112.283 |
| transcript.whisperx[4].text |
我們的產業必須依據不同產業所發展的地方來進行這個市場的攻略才會比較有效率因為它是一個起落的起起落落的狀態那我們沒辦法說現在哪一個市場就是主市場 |
| transcript.whisperx[5].start |
112.924 |
| transcript.whisperx[5].end |
139.46 |
| transcript.whisperx[5].text |
要依據產業的特性跟那個產業在明年跟今年的變化來選擇所以我們的主張是希望透過冒險去掌握到市場的趨勢變化去讓廠商知道現在市場在哪些地方崛起的比較快譬如說現在在北非跟東非其實在建築市場是起來的比較快那要掌握這樣的一個訊息才有辦法掌握真正的市場 |
| transcript.whisperx[6].start |
140.503 |
| transcript.whisperx[6].end |
153.168 |
| transcript.whisperx[6].text |
但是我們知道我們如果根據這個表來看我們看到東協其實在這一次對美的關稅裡面我們有非常多的廠商也在東協的國家裡面 |
| transcript.whisperx[7].start |
156.601 |
| transcript.whisperx[7].end |
173.564 |
| transcript.whisperx[7].text |
我們知道了在關稅的談判對於我國的產業有利的情況下就是第一個就是對於其他主要的競爭國家我們對美談判的時候必須要比他們的關稅更優惠是不是 |
| transcript.whisperx[8].start |
174.998 |
| transcript.whisperx[8].end |
199.203 |
| transcript.whisperx[8].text |
如果就市場的攻略倒不再是跟美國的談判而是我們跟東協之間的關稅的問題那第二個事情是我們要從做去做工廠變成做市場我們過去以東協來講多半是以東協作為工廠那我們希望將來他也可以把東協作為市場那他要在策略上必須進行一些轉變 |
| transcript.whisperx[9].start |
200.239 |
| transcript.whisperx[9].end |
220.453 |
| transcript.whisperx[9].text |
所以你會你認為我們應該要協助我們的廠商在東協裡面擴大市場嗎我們其實兩個步驟一個步驟是美國的主市場怎麼協助台商能夠在美國的市場取得比較好的地位第二個事情在美國以外的市場如何分散風險我們希望協助他們去分散風險 |
| transcript.whisperx[10].start |
223.017 |
| transcript.whisperx[10].end |
249.137 |
| transcript.whisperx[10].text |
你看到我們現在日本跟歐洲的市場全部都下降了是不是出口都下降了那未來我們怎麼樣是因為匯率的問題嗎還是什麼其他因素這個必須依據產業別來看它升降的因素有些是升有些是降那我們降要解決降的理由然後升的話要掌握升的機會再往上走 |
| transcript.whisperx[11].start |
250.05 |
| transcript.whisperx[11].end |
267.518 |
| transcript.whisperx[11].text |
那怎麼樣解決呢這個還是要去切割到產業別我們在產業有一個名字叫GMV叫Growth Market Value就在談其實全球都會分析出來在不同的產業在不同的國家每一年這塊的市場是成長還是下降我們只要掌握到這個數據就可以去去執行 |
| transcript.whisperx[12].start |
268.939 |
| transcript.whisperx[12].end |
272.742 |
| transcript.whisperx[12].text |
那我們具體的方向當然產業別會有差異但是我們具體的方向我們可以怎麼樣子擴大對歐洲或者是其他的東協國家我們怎麼樣子擴大我們廠商在那些國家的利基點 |
| transcript.whisperx[13].start |
290.934 |
| transcript.whisperx[13].end |
303.13 |
| transcript.whisperx[13].text |
怎麼樣子可以讓我們台灣的整個全球的市場整體擴大你總要有目標嘛不能夠永遠都在這裡說各個產業別上上下下上上下下那我們的目標在哪裡啊委員講的是對的所以我們現在才開始在 |
| transcript.whisperx[14].start |
311.259 |
| transcript.whisperx[14].end |
334.497 |
| transcript.whisperx[14].text |
才开始要去建立这样的一个资讯提供给厂商做参考这个我上周已经请我们同仁开始进行规划但是要进入一个的新市场除了建立通路之外还有受到法规的影响包括整个通路的影响的建立所以我们第二步会来协助建立通路的能力让厂商有能力去进行这个新市场的开发 |
| transcript.whisperx[15].start |
335.208 |
| transcript.whisperx[15].end |
358.241 |
| transcript.whisperx[15].text |
好 谢谢你都没有给次长讲到话人家次长对于关税的资料也掌握得非常清楚你们都没有借重一下我们都已经有激光相关的资料提供给经济部对 你都没有借重一下次长的相关你们都没有做横向的联系吗没有 我们一直都有横向的联系谢谢那次长请回我们再请郭部长请郭部长 |
| transcript.whisperx[16].start |
365.646 |
| transcript.whisperx[16].end |
391.736 |
| transcript.whisperx[16].text |
主委部長我想請問一下貝森特他點名這五個國家是先談關稅的國家這樣子對我們是好還是不好美國他說了如果先談判者就有先行的優勢那請問這樣子對我們來說是好還是不好報告委員我想在這個地方我再一次跟委員報告 |
| transcript.whisperx[17].start |
393.296 |
| transcript.whisperx[17].end |
410.751 |
| transcript.whisperx[17].text |
我們在4月11號已經跟美方來做了諮商了所以我們是在這個第一他們你剛才都講了這個第一批的前一批我們就已經進入了那我們在那個談判的內容裡面談的是對等的關稅 |
| transcript.whisperx[18].start |
411.932 |
| transcript.whisperx[18].end |
437.913 |
| transcript.whisperx[18].text |
跟非关税贸易障碍以及出国管制等等这些多项经贸的议题这最起码我们跟美国说我要跟你谈判的就这些议题美方大概到目前为止他们也同意跟我们谈这些问题所以谈判我跟你们报告谈判不管是怎么样子所有的谈判一定经过三个阶段第一个阶段确定我们要谈什么 |
| transcript.whisperx[19].start |
438.473 |
| transcript.whisperx[19].end |
463.786 |
| transcript.whisperx[19].text |
好 在那一次的會談當中 即便你沒有參與我要問的是 美方有沒有給我們清單這個我不是談判小組你不是談判小組啊 你要掌握啊 你們兩個總不能都沒有掌握劉主委你有沒有掌握我們沒有參與談判所以你也不知道 美方有沒有給我們待解決的清單 有沒有這個我不清楚 |
| transcript.whisperx[20].start |
469.691 |
| transcript.whisperx[20].end |
486.901 |
| transcript.whisperx[20].text |
國貿署也不清楚他也不知道這表示說我們之間大家在談的都是非常的聚焦了沒有衍生新的命題了所以我們也沒有收到新的指示那我要再問的是 |
| transcript.whisperx[21].start |
488.462 |
| transcript.whisperx[21].end |
507.736 |
| transcript.whisperx[21].text |
川普總統他在他的Twitter宣布揮打會擴大在美國的投資以及他是跟5家台積電以外的5家公司他們會就是在美國發展AI5000億的AI基礎設施會不會加劇這個半導體供應鏈向美移動 |
| transcript.whisperx[22].start |
518.256 |
| transcript.whisperx[22].end |
542.519 |
| transcript.whisperx[22].text |
跟委員報告這個正好說明了我們跟美國供應鏈是一體的那對台商而言會增加商業機會因為投資的只是一個過程是一個手段手段要達到的目的是商機所以呢這500個billion的商機對台灣台商而言是一個巨大商機可取得的所以呢我是我們是很正向的看這件事情 |
| transcript.whisperx[23].start |
542.619 |
| transcript.whisperx[23].end |
564.12 |
| transcript.whisperx[23].text |
那半導體供應鏈會不會向美國移動中下游整個帶過去這個對台灣整個供應鏈大家都很緊張產業跟著商業機會走不會造成產業的技術流失這個是台灣過去這30年40年來的全球化過程中都掌握得很清楚 |
| transcript.whisperx[24].start |
564.801 |
| transcript.whisperx[24].end |
581.465 |
| transcript.whisperx[24].text |
那這點委員是可以放心的因為每一個企業對自己的機密一定有一套獨到的方法去守住它因為這是它的生命競爭力只要總部在這裡就不會變化那輝達呢 輝達 對 總部嘛輝達總部在這裡 所以輝達的技術也在他手上所以輝達未來在台灣的投資會不會暫緩 |
| transcript.whisperx[25].start |
589.912 |
| transcript.whisperx[25].end |
602.592 |
| transcript.whisperx[25].text |
您從這個案子可以看得出來我們台商跟輝達是一個完整的供應鏈整合是相當完美的那只是讓我們彼此共同對外來的發展鎖得更緊更有未來好 謝謝 |